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M-CODE |
CITATION |
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1 |
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Shi, J., Yan, Q., Xu, L., & Jia, J. Hierarchical Image Saliency Detection on Extended CSSD. |
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2 |
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Panchal, T., Patel, H., & Panchal, A. (2016). License Plate Detection Using Harris Corner and Character Segmentation by Integrated Approach from an Image. Procedia Computer Science, 79, 419-425. |
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3 |
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Kekre, H. B., Sarode, T., & Halarnkar, P. N. (2016). Partial Image Scrambling Using Walsh Sequency in Sinusoidal Wavelet Transform Domain. In Intelligent Systems Technologies and Applications (pp. 471-484). Springer International Publishing. |
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4 |
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Savitha, S. K., & Naveen, N. C. Study for Assessing the Advancement of Imaging Techniques in Chest Radiographic Images. |
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5 |
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Niri, E. D., & Singh, T. (2016). Unscented Transformation based estimation of parameters of nonlinear models using heteroscedastic data. Pattern Recognition, 55, 160-171. |
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6 |
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Phadikar, A., Kumar, N., Phadikar, B. S., & Maity, G. K. (2016). Video summarisation using optimum global threshold technique based on genetic algorithm. International Journal of Innovative Computing and Applications, 7(1), 1-12. |
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7 |
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Thamizharasi, A., & Jayasudha, J. S. (2016). An Illumination Invariant Face Recognition by Selection of DCT Coefficients. International Journal of Image Processing (IJIP), 10(1), 14. |
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8 |
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Klingensmith, M., Herrmann, M., & Srinivasa, S. S. (2016). Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving. In Experimental Robotics (pp. 697-713). Springer International Publishing. |
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9 |
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Shaukat, A., Gao, Y., Kuo, J. A., Bowen, B. A., & Mort, P. E. (2016). Visual classification of waste material for nuclear decommissioning. Robotics and Autonomous Systems, 75, 365-378. |
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10 |
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Jain, M., & Singh, D. (2016). A Survey on CBIR on the Basis of Different Feature Descriptor. British Journal of Mathematics & Computer Science, 14(6), 1. |
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11 |
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Serdouk, Y., Nemmour, H., & Chibani, Y. (2016). New Off-line Handwritten Signature Verification Method based on Artificial Immune Recognition System. Expert Systems with Applications. |
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12 |
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Vadali, S., Deekshitulu, G. S., & Murthy, J. V. R. (2016). Optimization of Hyperspectral Images and Performance Evaluation Using Effective Loss Algorithm. In Proceedings of Fifth International Conference on Soft Computing for Problem Solving (pp. 919-927). Springer Singapore. |
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13 |
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Babu, K. S., Thyagharajan, K. K., & Ramachandran, V. (2016). Compression of Hyper-Spectral Images and Its Performance Evaluation. In Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015 (pp. 599-609). Springer India. |
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14 |
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Vinay, S. K. (2016). Bins Approach To Content Based Image Retrieval. |
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15 |
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Akar, A., Gökalp, E., Akar, Ö., & Yilmaz, V. (2016). Improving classification accuracy of spectrally similar land covers in the rangeland and plateau areas with a combination of WorldView-2 and UAV images. Geocarto International, (just-accepted), 1-26.Yadav, S., Rizvi, I., & Kadam, S. Comparative study of object based image analysis on high resolution |
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16 |
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Alqahtani, K. M. (2016). A Graphical Processing Unit Based on Real Time System (Doctoral dissertation). |
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17 |
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Naveen, S., & Moni, R. S. (2016). Contourlet and Fourier Transform Features Based 3D Face Recognition System. In Intelligent Systems Technologies and Applications (pp. 411-425). Springer International Publishing. |
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18 |
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Kedar, S., Bormane, D. S., & Nair, V. (2016). Heart Disease Prediction Using k-Nearest Neighbor Classifier Based on Handwritten Text. In Computational Intelligence in Data Mining—Volume 1 (pp. 49-56). Springer India. |
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19 |
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Saaidia, M., Zermi, N., & Ramdani, M. (2016). Multiple Image Characterization Techniques for Enhanced Facial Expression Recognition. In Intelligent Systems Technologies and Applications (pp. 497-509). Springer International Publishing. |
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20 |
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Perveen, N., Ahmad, N., Khan, M. A. Q. B., Khalid, R., & Qadri, S. Facial Expression Recognition Through Machine Learning. |
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21 |
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Mohammed, S. N., George, L. E., & Dawood, H. A. The Effect of Classification Methods on Facial Emotion Recognition Accuracy. |
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22 |
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Satyawana, S. (2016). Novel Technique for Video Segmentation and Image Matching. Science, Engineering and Technology, 59. |
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23 |
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Zhang, Y. Y., Wang, Z. P., & Lv, X. D. (2016). Saliency Detection via Sparse Reconstruction Errors of Covariance Descriptors on Riemannian Manifolds. Circuits, Systems, and Signal Processing, 1-18. |
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24 |
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Wu, X., Du, M., Chen, W., & Wang, J. (2016). Salient object detection via region contrast and graph regularization. Science China Information Sciences, 1-14. |
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25 |
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Sun, X., Su, A., Chen, S., Yu, Q., & Liu, X. (2016). Objectness to assist salient object detection. IET Image Processing, 10(5), 391-397. |
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26 |
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Raj, E. M. S., & Kumaresan, M. (2016). Boundary Detection Algorithm For Brain Tumor Position And Area Detection Using OPENCV. International Journal of Applied Engineering Research, 11(7), 5326-5331. |
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27 |
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Sampurno, J., Faryuni, I. D., & Ivansyah, O. (2016, March). Automated analysis of image mammogram for breast cancer diagnosis. In THE 4TH INTERNATIONAL CONFERENCE ON THEORETICAL AND APPLIED PHYSICS (ICTAP) 2014 (Vol. 1719, p. 030036). AIP Publishing. |
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28 |
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Santhosh, B., & Viswanath, K. (2016). Review on Secured Medical Image Processing. In Information Systems Design and Intelligent Applications (pp. 531-537). Springer India. |
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29 |
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Tiwari, L. K., Sinha, S. K., Saran, S., Tolpekin, V. A., & Raju, P. L. (2016). Forest encroachment mapping in Baratang Island, India, using maximum likelihood and support vector machine classifiers. Journal of Applied Remote Sensing, 10(1), 016016-016016. |
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30 |
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Taniguchi, Y., Mizushima, M., Hasegawa, G., Nakano, H., & Matsuoka, M. (2016). Counting Pedestrians Passing Through a Line in Crowded Scenes by Extracting Optical Flows. International Information Institute (Tokyo). Information, 19(1), 303. |
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31 |
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Enireddy, V., PhaniKumar, D. V. V. S., & Kishore, G. Application of Fisher Score and mRMR Techniques for Feature Selection in Compressed Medical Images. |
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32 |
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Jain, M., & Lenka, S. K. (2016). A Review of Digital Image Steganography using LSB and LSB Array. International Journal of Applied Engineering Research, 11(3), 1820-1824. |
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33 |
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Brahmbhatt, K. N., & Makwana, R. M. (2016). Implementation and Comparative Study of Image Fusion Methods in Frequency Domain. In Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics (pp. 271-278). Springer India. |
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34 |
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Verma, S., Wakode, J. S., & Kannurkar, P. S. Two Level Two Dimensional Wavelet Transform Based QR Code Watermarking Algorithm. |
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35 |
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Norhikmah, N., Safitri, A. R., & Sholikhan, L. A. (2016). Penggunaan qr code dalam presensi berbasis android. semnasteknomedia online, 4(1), 4-7. |
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36 |
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Palumbo, F., Gallicchio, C., Pucci, R., & Micheli, A. (2016). Human activity recognition using multisensor data fusion based on Reservoir Computing. Journal of Ambient Intelligence and Smart Environments, 8(2), 87-107. |
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37 |
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Vinay, S. K. (2016). Bins Approach To Content Based Image Retrieval. |
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38 |
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Singh, A. K. (2016). Some New Techniques of Improved Wavelet Domain Watermarking ofr Medical Images. |
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39 |
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Pandey, R., Singh, A. K., Kumar, B., & Mohan, A. (2016). Iris based secure NROI multiple eye image watermarking for teleophthalmology. Multimedia Tools and Applications, 1-17. |
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40 |
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Xie, C., Huang, X., Zeng, W., & Fang, X. (2016). A novel water index for urban high-resolution eight-band WorldView-2 imagery. International Journal of Digital Earth, 1-17. |
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41 |
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Salas, E. A. L., Boykin, K. G., & Valdez, R. (2016). Multispectral and Texture Feature Application in Image-Object Analysis of Summer Vegetation in Eastern Tajikistan Pamirs. Remote Sensing, 8(1), 78. |
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42 |
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Baan, F., Liebregts, J., Xi, T., Schreurs, R., de Koning, M., Bergé, S., & Maal, T. (2016). A New 3D Tool for Assessing the Accuracy of Bimaxillary Surgery: The OrthoGnathicAnalyser. PloS one, 11(2), e0149625. |
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43 |
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Sarode, T., Pillai, D., Pokale, S., & Prabhu, T. (2016). Image Encryption in Transform Domain using Circular Shift. International Journal of Computer Applications, 140(11). |
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44 |
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Sarode, T., Pillai, D., Pokale, S., & Prabhu, T. (2016). Image Encryption in Transform Domain using Circular Shift. International Journal of Computer Applications, 140(11). |
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45 |
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Bhong, V. S., & Pawar, B. V. Study and Analysis of Cotton Leaf Disease Detection Using Image Processing. |
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46 |
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López-Serrano, P. M., Corral-Rivas, J. J., Díaz-Varela, R. A., Álvarez-González, J. G., & López-Sánchez, C. A. (2016). Evaluation of Radiometric and Atmospheric Correction Algorithms for Aboveground Forest Biomass Estimation Using Landsat 5 TM Data. Remote Sensing, 8(5), 369. |
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47 |
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What carpet, M, happy, R., & Frydhsyny. (2016, February). The use of lidar technology to create a digital terrain model. In the First International Conference Third national conference on architecture, urban restoration and sustainable environment. |
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48 |
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Hettiarachchi, R., & Peters, J. F. (2016). Voronoi Region-Based Adaptive Unsupervised Color Image Segmentation. arXiv preprint arXiv:1604.00533. |
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49 |
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Suqi, A., & Lim, T. W. (2016). Detection and Identification of Objects Using Point Cloud Data for Pose Estimation. In AIAA Guidance, Navigation, and Control Conference (p. 2095). |
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50 |
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Nalini, M. P., & Malleswari, B. L. Review on Content Based Image Retrieval: From Its Origin to the New Age. |
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51 |
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YAO Court, in Yan & East (2016). Image retrieval method based on features of interest points. Jilin University (Science Edition), 54 (02), 323-328. |
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52 |
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Wang, Y., Liu, X., & Tang, Z. (2016, January). An R-CNN Based Method to Localize Speech Balloons in Comics. In MultiMedia Modeling (pp. 444-453). Springer International Publishing. |
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53 |
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Choi, J. H., Lee, M., Kang, K., & Kim, J. O. Adaptive Color Saturation Control for Low Power RGBW OLED Displays. |
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54 |
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García Moreno, L. M., & Barandica Zemanate, E. (2016). " Implementación de realidad aumentada en planos topográficos como componente interactivo de los entornos geográficos virtuales"[recurso electrónico] (Doctoral dissertation). |
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55 |
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Luo, D., Sun, M., & Huang, J. (2016). Audio Post-processing Detection Based on Amplitude Co-occurrence Vector Feature. |
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56 |
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Harinath, D., Babu, K. R., Satyanarayana, P., & Murthy, M. R. (2016). Defect Detection in Fabric using Wavelet Transform and Genetic Algorithm. Transactions on Machine Learning and Artificial Intelligence, 3(6), 10. |
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57 |
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Roy, A., Schaffer, J. D., & Laramee, C. B. (2016). A novel approach to signal classification with an application to identifying the alcoholic brain. Applied Soft Computing, 43, 406-414. |
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58 |
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Zhang, F., Wang, X., & Sun, K. (2016). A Report on Multilinear PCA Plus GTDA to Deal With Face Image. Cybernetics and Information Technologies, 16(1), 146-157. |
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59 |
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Liu, C. (2016). Digits Recognition on Medical Device (Doctoral dissertation, The University of Western Ontario). |
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60 |
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Islam, R., & Islam, M. R. (2015). An Image Processing Technique to Calculate Percentage of Disease Affected Pixels of Paddy Leaf. International Journal of Computer Applications, 123(12). |
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61 |
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Gambaruto, A. M. (2015). Processing the image gradient field using a topographic primal sketch approach. International journal for numerical methods in biomedical engineering, 31(3). |
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62 |
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Al-Ameen, Z., & Sulong, G. (2015). A new algorithm for improving the low contrast of computed tomography images using tuned brightness controlled single-scale Retinex. Scanning, 37(2), 116-125. |
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63 |
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Sampath, R., & Saradha, A. Alzheimer’s Disease Image Segmentation with Self-Organizing Map Network. |
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64 |
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Anh, D. N. Smooth Context based Color Transfer. |
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65 |
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DUAN, L., & KONG, L. (2015). Salient Region Detection with Hierarchical Image Abstraction. JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 31, 861-878. |
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66 |
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Imran, M., Hashim, R., & Elaiza, N. (2015). Content Based Image Retrieval Using Color Layout Descriptor and Generic Fourier Descriptor. In Advanced Computer and Communication Engineering Technology (pp. 163-170). Springer International Publishing. |
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67 |
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Chathurani, N. W. U. D., Geva, S., & Chandran, V. Conversion of an Image to a Document Using Grid-based Decomposition for Efficient Content-Based Image Retrieval. |
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68 |
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Fadillah, A., & Tjokorda Agung, B. W. implementasi dan analisis salient point detector berdasarkan wavelet pada cbir (content based image retrieval) implementation and analysis wavelet-based salient point detector in cbir (content based image retrieval). |
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69 |
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Polaka, I. (2015, August). Feature Selection Approaches In Antibody Display. In Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference (Vol. 2, pp. 16-23). |
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70 |
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Javed, A., Chai, W. Y., Alenezi, A. R., & Kulathuramaiyer, N. (2015). Fully Automatic Detections of Abnormalities of Brain MR Images by utilizing Spatial Information and Mathematical Morphological Operators. Appl. Math, 9(1), 213-222. |
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71 |
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Karthick, C., Idrissyedismail, S., Arunkailasam, E., Dhanapal, S., & Devika, T. the international journal of science & technoledge. |
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72 |
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Bangare, S. L., Patil, M., Bangare, P. S., & Patil, S. T. Implementing Tumor Detection and Area Calculation in Mri Image of Human Brain Using Image Processing Techniques. |
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73 |
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Tembhekar, P. A., Thakare, M. N., & Dhande, S. A. Spatial Fuzzy Clustering With Level Set Method for MRI Image. |
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74 |
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Balakumar, B., & Raviraj, P. Automatic brain tumour MR image segmentation performance analysis using Threshold and Genetic algorithm. |
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75 |
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Deore, M. R., & Handore, S. M. (2015, May). A survey on offline signature recognition and verification schemes. In Industrial Instrumentation and Control (ICIC), 2015 International Conference on (pp. 165-169). IEEE. |
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76 |
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Wani, N. S., & Patil, S. P. (2015). Robust Signature Verification and Recognition using Weighted Features Point. Signature, 3(6). |
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77 |
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Chugh, A., Jain, C., Singh, P., & Rana, P. (2015, January). Learning Approach for Offline Signature Verification Using Vector Quantization Technique. In Emerging ICT for Bridging the Future-Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1 (pp. 337-344). Springer International Publishing. |
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78 |
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Widodo, A. W., & Harjoko, A. (2015). sistem verifikasi tanda tangan off-line berdasar ciri histogram of oriented gradient (hog) dan histogram of curvature (HoC). Jurnal Teknologi Informasi dan Ilmu Komputer, 2(1). |
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79 |
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Saraswat, S., Sinha, S. K., & Kumar, M. an optimized handwritten signature verification by ann. |
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80 |
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Joon, M. D., & Kikon, M. S. An analytical approach towards Offline Handwritten Signatures Verification using Wavelets transforms and other relevant techniques. |
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81 |
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Singh, P. K., Sarkar, R., & Nasipuri, M. (2015). Offline Script Identification from multilingual Indic-script documents: A state-of-the-art. Computer Science Review, 15, 1-28. |
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82 |
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Kekre, H. B., Sarode, T., & Natu, S. (2015). performance comparison of hybrid wavelet transforms formed using dct, walsh, haar and dkt in watermarking. International Journal of Computer Science & Information Technology, 7(1), 41. |
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83 |
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Kekre, H. B., Sarode, T., & Natu, S. (2015). performance analysis of watermarking using svd and column/row hybrid wavelet transform of dct with walsh, haar and dkt. International Journal of Advances in Engineering & Technology, 8(1), 1985. |
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84 |
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Nayak, M., & Nayak, A. K. (2015). Odia Running Text Recognition Using Moment-Based Feature Extraction and Mean Distance Classification Technique. In Intelligent Computing, Communication and Devices (pp. 497-506). Springer India. |
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85 |
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Singh, P. K., Sarkar, R., & Nasipuri, M. (2015). Offline Script Identification from multilingual Indic-script documents: A state-of-the-art. Computer Science Review, 15, 1-28. |
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86 |
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Naubadkar, S., & Meera, A. (2015). Enhanced Algorithm For Tracking number Plate From Vehicle Using Blob Analysis. |
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87 |
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Peer, S., & Mishra, A. Tracking and segmentation of number plates of Indian vehicles using matlab. |
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88 |
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Messali, Z., Chetih, N., Serir, A., & Boudjelal, A. (2015). A Quantitative Comparative Study of Back Projection, Filtered Back Projection, Gradient and Bayesian Reconstruction Algorithms in Computed Tomography (CT). International Journal of Probability and Statistics, 4(1), 12-31. |
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89 |
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Kekre, H. B., Sarode, T., & Natu, S. (2015). Performance Comparison of Watermarking Using SVD with Orthogonal Transforms and Their Wavelet Transforms. International journal of image, graphics and signal processing, submitted for publication. |
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90 |
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Kekre, H. B., Sarode, T., & Natu, S. (2015, January). Robust watermarking by SVD of watermark embedded in DKT-DCT and DCT wavelet column transform of host image. In Communication, Information & Computing Technology (ICCICT), 2015 International Conference on (pp. 1-6). IEEE. |
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91 |
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Thepade, S. D., Dewan, J. H., Erandole, S. S., & Patil, P. H. (2015, February). Proposing self mutation of hybrid wavelet transform with Cosine-Kekre, Cosine-Sine & Cosine-Walsh for image compression. In Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on (pp. 684-690). IEEE. |
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92 |
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Kekre, H. B., Sarode, T., & Natu, S. (2015). Robust Watermarking for Color Images using SVD with Column/Row Wavelet transforms in Low and Mid-frequency spectrum of host. Advances in Image and Video Processing, 2(6), 01-14. |
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93 |
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Sharma, P., & Vig, R. (2015). a wavelet based biomedical image compression with roi coding. |
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94 |
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Kekre, H. B., Sarode, T. K., & Vig, R. (2015). A new multi-resolution hybrid wavelet for analysis and image compression. International Journal of Electronics, (ahead-of-print), 1-19. |
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95 |
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Shayegan, M. A. (2015). Dataset size and dimensionality reduction approaches for handwritten farsi digits and characters recognition (Doctoral dissertation, University of Malaya). |
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96 |
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Yadav, S., Rizvi, I., & Kadam, S. Urban Tree Canopy Detection Using Object-Based Image Analysis for Very High Resolution Satellite Images: A Literature Review. |
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97 |
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Nagarajan, S., & Subashini, T. S. (2015). Weighted Euclidean Distance Based Sign Language Recognition Using Shape Features. In Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (pp. 149-156). Springer India. |
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98 |
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Bulgakov, A., Emelianov, S., Schach, R., Sayfeddine, D., & Erofeev, V. (2015). Maintaining vertical gardens using quadrotor aerial inspection. |
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99 |
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Mahajan, P. M., & Chaudhari, J. S. Review of Finger Spelling Sign Language Recognition. |
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100 |
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Dongare, Y. B., & Patole, R. skin color detection and background subtraction fusion for hand gesture segmentation. |
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101 |
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Mathew, S. P., Balas, V. E., & Zachariah, K. P. (2015). A Content-based Image Retrieval System Based On Convex Hull Geometry. Acta Polytechnica Hungarica, 12(1). |
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102 |
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Thepade, S. D., & Mhaske, V. (2015, February). New Clustering Algorithm for Vector Quantization Using Hybrid Haar Slant Error Vector. In Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on (pp. 634-640). IEEE. |
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103 |
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Thepade, S. D., & Bhondave, R. K. (2015, January). Bimodal biometric identification with Palmprint and Iris traits using fractional coefficients of Walsh, Haar and Kekre transforms. In Communication, Information & Computing Technology (ICCICT), 2015 International Conference on (pp. 1-4). IEEE. |
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104 |
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Andriady, A., Sanjaya, F., & Alamsyah, D. Pengenalan Wajah Manusia dengan Hidden Markov Model (HMM) dan Fast Fourier Transform (FFT). |
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105 |
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Kekre, H. B., Sarode, T., & Natu, S. (2015). performance analysis of watermarking using svd and column/row hybrid wavelet transform of dct with walsh, haar and dkt. International Journal of Advances in Engineering & Technology, 8(1), 1985. |
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106 |
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Ghousel, M. K., & Chillakuru, P. (2015). Face Image Retrieval using Contextual and HAAR Feature Extraction. Digital Image Processing, 7(5), 164-166. |
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107 |
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Zhang, F., Qi, L., & Chen, E. A Survey on Multilinear PCA Plus GTDA to Deal With Biometric Signal. |
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108 |
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Ketcham, M., & Ganokratanaa, T. (2015). The analysis of lane detection algorithms using histogram shapes and Hough transform. International Journal of Intelligent Computing and Cybernetics, 8(3), 262-278. |
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109 |
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Latha, Y. M., & Prasad, M. V. (2015). GLCM Based Texture Features for Palmprint Identification System. In Computational Intelligence in Data Mining-Volume 1 (pp. 155-163). Springer India. |
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110 |
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Jaafar, H., Ibrahim, S., & Ramli, D. A. (2015). A robust and fast computation touchless palm print recognition system using LHEAT and the IFkNCN classifier. Computational intelligence and neuroscience, 2015, 43. |
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111 |
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Sara, s., ahmed, h., yassine, s. t., achraf, b., & bouchaib, c. (2015). new brain extraction method using expectation maximization and mathematical morphology. Journal of Theoretical & Applied Information Technology, 73(3). |
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112 |
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Sheejakumari, V., & Sankara Gomathi, B. (2015). MRI brain images healthy and pathological tissues classification with the aid of improved particle swarm optimization and neural network. Computational and mathematical methods in medicine, 2015. |
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113 |
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Smitha, S. P. An Assessment Of Video Quality Using Watermark. |
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114 |
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Ibrar-ul-Haque, M., Tahir Qadri, M., & Siddiqui, N. (2015). Reduced reference blockiness and blurriness meter for image quality assessment. The Imaging Science Journal, 63(5), 296-302. |
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115 |
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Juliet, S., Rajsingh, E. B., & Ezra, K. (2015). Compression of medical images for remote diagnosis based on geometric transforms. International Journal of Telemedicine and Clinical Practices, 1(1), 17-31. |
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116 |
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Bhuvaneswari, P., & Therese, A. B. (2015). Detection of Cancer in Lung with K-NN Classification Using Genetic Algorithm. Procedia Materials Science, 10, 433-440. |
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117 |
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Punithavathy, K., Ramya, M. M., & Poobal, S. Analysis of Statistical Texture Features for Automatic Lung Cancer Detection in PET/CT Images. |
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118 |
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Kumar, K. S. (2015). Analysis and classification of wound images for healing assessment. |
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119 |
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Helonde, M. R. P., & Banubakode, M. S. S. A Study on Various Image Fusion Techniques. |
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120 |
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Helonde, M. R. P., & Joshi, M. R. Image Fusion Based on Medical Images Using DWT and PCA Methods. |
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121 |
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Lakshmi, A. S., & SN, N. S. Cardiac Cycle Phase Estimation in 2-D Echocardiographic Images Using SVM. |
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122 |
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Reshna, S., & Jayaraju, M. (2015). A survey on Segmentation and Feature extraction of Images in Indian Sign Language Recognition System. |
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123 |
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Ghotkar, A. S., & Kharate, G. K. (2015). Dynamic Hand Gesture Recognition and Novel Sentence Interpretation Algorithm for Indian Sign Language Using Microsoft Kinect Sensor. Journal of Pattern Recognition Research, 1, 24-38. |
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124 |
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Kishore, P. V. V., Rahul, R., Sravya, K., & Sastry, A. S. C. S. (2015, August). Crowd Density Analysis and tracking. In Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on (pp. 1209-1213). IEEE. |
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125 |
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Shayegan, M. A. (2015). Dataset size and dimensionality reduction approaches for handwritten farsi digits and characters recognition (Doctoral dissertation, University of Malaya). |
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126 |
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Neethu, S., & Venkataraman, D. (2015). Stroke Detection in Brain Using CT Images. In Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (pp. 379-386). Springer India. |
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127 |
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Karthik, R., Menaka, R., & Chellamuthu, C. (2015). A comprehensive framework for classification of brain tumour images using SVM and curvelet transform. International Journal of Biomedical Engineering and Technology, 17(2), 168-177. |
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128 |
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El-Khamy, S. E., Sadek, R. A., & El-Khoreby, M. A. (2015, October). An efficient brain mass detection with adaptive clustered based fuzzy C-mean and thresholding. In 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) (pp. 429-433). IEEE. |
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129 |
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Sharma, K., & Mittal, D. (2015). Contrast Enhancement Technique for CT Images. Journal of Biomedical Engineering and Medical Imaging, 2(1), 44. |
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1024 |
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Sivanand, S., & Raj, A. Color Image Segmentation Using MDS-Based Multiresolution Nonlinear dimensionality Reduction Model and Fuzzy C-means Clustering. |
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Suresh, S. (2013). Framework for near real time feature detection from the atmospheric imaging assembly images of the solar dynamics observatory. |
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Moraru, L., Bibicu, D., & Biswas, A. (2013). Standalone functional CAD system for multi-object case analysis in hepatic disorders. Computers in biology and medicine, 43(8), 967-974. |
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Nair, P. C., & Suganthi, G. Comparative Analysis of Various Denoising Techniques for MRI Images. |
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Abel, K. (2013). Benefits of shifting freight delivery to night time, considering routing and environmental effects for addis ababa city (doctoral dissertation, aau). |
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Zhao, K. X., Peng, M. F., Tan, H., He, S. D., Shen, M. E., & He, J. B. (2013, November). Fault Diagnosis of Grounding Grid Based on Principal Component Analysis and Fuzzy Clustering. In Advanced Materials Research (Vol. 787, pp. 881-885). |
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Desai, P. D., Pujari, J., & Yaligar, N. (2012). Shape based features extracted using Wavelet decomposition. International Journal of Advanced Research in Computer Science, 3(3). |
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Das, S., & Kundu, M. K. (2012). Interactive content based image retrieval using Ripplet transform and fuzzy relevance feedback. In Perception and Machine Intelligence (pp. 243-251). Springer Berlin Heidelberg. |
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Kumar, D., & Rai, Y. A Survey of Image Retrieval using Support Vector Machine with ACOGA. |
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Yaping, L., Jinfang, Z., Fanjiang, X., & Xv, S. (2012, November). The recognition and enhancement of traffic sign for the computer-generated image. In Digital Home (ICDH), 2012 Fourth International Conference on (pp. 405-410). IEEE. |
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Ananda, R. S., & Thomas, T. (2012, October). Automatic segmentation framework for primary tumors from brain MRIs using morphological filtering techniques. In Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on (pp. 238-242). IEEE. |
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Lehana, P., Devi, S., Singh, S., Abrol, P., Khan, S., & Arya, S. (2012). Investigations of the MRI images using aura transformation. Signal & Image Processing: An International Journal (SIPIJ), 3(1), 95-104. |
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Selvakumar, J., Lakshmi, A., & Arivoli, T. (2012, March). Brain tumor segmentation and its area calculation in brain MR images using K-mean clustering and Fuzzy C-mean algorithm. In Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on (pp. 186-190). IEEE. |
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Javed, A., Chai, W. Y., & Kulathuramaiyer, N. contourlet transform based enhanced brain mr image segmentation.Javare, S., Patil, V., & Patil, N. Brain MR Image Segmentation Technique: A Review. |
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Kaur, E. J., Nidhi, E., & Kaur, M. R. (2012). Issues Involved In Speech To Text Conversion. International Journal of Computional Engineering Research. |
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Naveena, C., & Aradhya, V. M. (2012, October). Handwritten character segmentation for kannada scripts. In Information and Communication Technologies (WICT), 2012 World Congress on (pp. 144-149). IEEE. |
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Rajiv, K. (2012). Detection and segmentation of touching handwritten Gurmukhi script. |
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Babawuro, U., & Beiji, Z. (2012). Automated Extraction of Geospatial Features from Satellite Imagery: Computer Vision Oriented Plane Surveying. International Journal of Computer Science Issues(IJCSI), 9(6). |
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Sas, J., & Markowska-Kaczmar, U. (2012). Similarity-based training set acquisition for continuous handwriting recognition. Information Sciences, 191, 226-244. |
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Harouni, M., Rahim, M. S. M., Mohamad, D., Rehman, A., & Saba, T. (2012). online cursive persian/arabic character recognition by detecting critical points. International Journal of Academic Research, 4(2). |
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Saba, T., Alzorani, S., & Rehman, A. (2012). Expert system for offline clinical guidelines and treatment. Life Science Journal, 9(4), 2639-2658. |
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Saba, T. (2012). Implications of E-learning systems and self-efficiency on students outcomes: a model approach. Human-Centric Computing and Information Sciences, 2(1), 1-11. |
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Norouzi, A., Saba, T., Rahim, M., Shafry, M., Amin, I. M., & Rehman, A. (2012). visualization and segmentation of 3d bone from ct images. International Journal of academic research, 4(2). |
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Williams, k. (2012). learning to read bushman: automatic handwriting recognition for bushman texts. |
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Miskhat, S. F., Ridwan, M., Chowdhury, E., Rahman, S., & Amin, M. A. (2012, May). Profound impact of artificial neural networks and Gaussian SVM kernel on distinctive feature set for offline signature verification. In Informatics, Electronics & Vision (ICIEV), 2012 International Conference on (pp. 940-945). IEEE. |
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Kekre, H. B., Mishra, D., & Kariwala, A. (2011). A survey of CBIR techniques and semantics. International Journal of Engineering Science and Technology, 3(5). |
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1412 |
|
Kekre, H. B., & Kulkarni, V. (2011, February). Automatic speaker recognition using circular DFT sectors. In Proceedings of the International Conference & Workshop on Emerging Trends in Technology (pp. 1280-1285). ACM. |
|
1413 |
|
Kekre, H. B., & Kulkarni, V. (2011). Performance Comparison of Speaker Identification using circular DFT and WHT Sectors. International Journal of Computer Science and Information Security, 9(3), 139. |
|
1414 |
|
Kulkarni, V. HB Kekre Vaishali Kulkarni. |
|
1415 |
|
Parikh, P., Mehta, P., & Modi, C. K. (2011, June). Non-destructive Quality Evaluation of Chocolate Chip Cookies. In Communication Systems and Network Technologies (CSNT), 2011 International Conference on (pp. 694-698). IEEE. |
|
1416 |
|
Kekre, H. B., & Mishra, D. (2011). Sectorization of Walsh and Walsh Wavelet in CBIR. International Journal on Computer Science and Engineering, 3(6), 2511-2522. |
|
1417 |
|
Kekre, D. H., & Mishra, D. (2011). Image Retrieval using DST and DST Wavelet Sectorization. IJACSA) International Journal of Advanced Computer Science and Applications, 2(6). |
|
1418 |
|
Kekre, H. B., & Mishra, D. (2011). Performance Comparison of Sectorization of DCT and DCT Wavelet Transformed Images in CBIR. International Journal of Computer Applications, 23(4). |
|
1419 |
|
Sonawane, K. (2011). Retrieval of Images Using DCT and DCT Wavelet Over Image Blocks. IJACSA Editorial. |
|
1420 |
|
Madhusudhan, M., Malay, N., Nirmala, S. R., & Samerendra, D. (2011). Image Processing Techniques for Glaucoma Detection. Advances in Computing and Communications, 365-373. |
|
1421 |
|
Rizvi, I. A., & Mohan, B. K. (2011). Object-based image analysis of high-resolution satellite images using modified cloud basis function neural network and probabilistic relaxation labeling process. Geoscience and Remote Sensing, IEEE Transactions on, 49(12), 4815-4820. |
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1422 |
|
Rizvi, I., Mohan, B. K., & Narayana, E. L. (2011). accuracy enhancement of object based image classification using relaxation labeling process for high resolution satellite images. In ASPRS 2011 Annual Conference (pp. 1-8). |
|
1423 |
|
Karacor, A. G., Torun, E., & Abay, R. (2011). Aircraft Classification Using Image Processing Techniques And Artificial Neural Networks. International Journal of Pattern Recognition and Artificial Intelligence, 25(08), 1321-1335. |
|
1424 |
|
Hasan, M. M., & Misra, P. K. (2011, June). Gesture recognition using modified HSV segmentation. In Communication Systems and Network Technologies (CSNT), 2011 International Conference on (pp. 328-332). IEEE. |
|
1425 |
|
Hasan, M. M., & Mishra, P. K. (2011). Performance Evaluation of Modified Segmentation on Multi Block For Gesture Recognition System. International Journal of Signal Processing, Image Processing and Pattern Recognition, 4(4), 17-28. |
|
1426 |
|
Sundby, D. (2011). Summarizing image collections. |
|
1427 |
|
Gjoreski, H. (2011). Adaptive human activity recognition and fall detection using wearable sensors (Doctoral dissertation, Msc Thesis, Jozef Stefan Int. Postgraduate School). |
|
1428 |
|
Gjoreski, H., Luštrek, M., & Gams, M. (2011, July). Accelerometer placement for posture recognition and fall detection. In Intelligent Environments (IE), 2011 7th International Conference on (pp. 47-54). IEEE. |
|
1429 |
|
Kekre, H. B., Thepade, S. D., & Banura, V. K. (2011). Amelioration of Walsh-Hadamard Texture Patterns based Image Retrieval using HSV Color Space. International Journal of Computer Science and Information Security, 9(3), 64. |
|
1430 |
|
Ponraj, D. N., Jenifer, M. E., Poongodi, P., & Manoharan, J. S. (2011). A survey on the preprocessing techniques of mammogram for the detection of breast cancer. Journal of Emerging Trends in Computing and Information Sciences, 2(12), 656-664. |
|
1431 |
|
Kekre, H. B., Thepade, S. D., Banura, V. K., & Bhatia, A. (2011). Image Retrieval using Fractional Coefficients of Orthogonal Wavelet Transformed Images with Seven Image Transforms. International Journal of Computer Applications, 30(1). |
|
1432 |
|
Liu, J., & Sun, J. (2011). Independent component analysis-based image/video analysis and applications. CAAI Transactions on Intelligent Systems, 6, 006. |
|
1433 |
|
Kashem, M. A., Akhter, M. N., Ahmed, S., & Alam, M. M. (2011). Face recognition system based on principal component analysis (PCA) with back propagation neural networks (BPNN). Canadian Journal on Image Processing and Computer Vision, 2(4), 36-45. |
|
1434 |
|
Liu Ju, & Sun Jiande. (2011). ICA image / video analysis and applications. Intelligent Systems, 6 (6), 495-506. |
|
1435 |
|
Shylaja, S. S., Murthy, K. B., & Natarajan, S. (2011). Dimensionality reduction techniques for face recognition. Reviews, Refinements and New Ideas in Face Recognition, InTech, 141-166. |
|
1436 |
|
Al-Hashemi, R., & Kamal, I. W. (2011). A New Lossless Image Compression Technique Based on Bose, Chandhuri and Hocquengham (BCH) Codes. International Journal of Software Engineering and Its Applications, 5(3). |
|
1437 |
|
Kekre, H. B., Sange, S. R., Sawant, G. S., & Lahoty, A. A. (2011). Image Compression Using Halftoning and Huffman Coding. In Technology Systems and Management (pp. 221-226). Springer Berlin Heidelberg. |
|
1438 |
|
Chadha, A., Jyoti, D., & Roja, M. M. (2011). Rotation, Scaling and Translation Analysis of Biometric Signature Templates. arXiv preprint arXiv:1110.1208. |
|
1439 |
|
Zhang, T. Z., & Zhao, Y. M. (2011). Scene Text Extraction Method Based on Clustering and MRF Model [J]. Computer Engineering, 21, 062. |
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1440 |
|
Chapter days is, & Zhao Yuming. (2011). Scene Text Extraction Extraction model based clustering scenarios text and MRF models. Computer Engineering, 37 (21). |
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1441 |
|
Guo Wende. (2011). Identification and automatic music playing system to retrieve the camera. |
|
1442 |
|
Rizvi, I., Mohan, B. K., & Narayana, E. L. (2011). Accuracy Enhancement of Object Based Image Classification Using Relaxation Labeling Process for High Resolution Satellite Images. In ASPRS 2011 Annual Conference (pp. 1-8). |
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1443 |
|
Liang, F. F., Liu, Y., Wu, X. Y., & Yao, G. (2011, April). Automatic Extraction Method for License Plate Character Blurred by Translucent Object. In Advanced Materials Research (Vol. 204, pp. 1884-1890). |
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1444 |
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Ida, H., Mochammad, H., Ketut, I., & Purnama, E. (2011). Content based image retrieval berdasarkan fitur bentuk menggunakan metode gradient vector flow snake. telematika, (17). |
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1445 |
|
Khalid, N. E. A., Ibrahim, S., & Haniff, P. N. M. M. (2011). MRI Brain Abnormalities Segmentation using K-Nearest Neighbors(k-NN). International Journal on Computer Science and Engineering, 3(2), 980-990. |
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1446 |
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Khalid, N. E. A., Ibrahim, S., & Manaf, M. (2011, July). Brain abnormalities segmentation performances contrasting: adaptive network-based fuzzy inference system (ANFIS) vs K-nearest neighbors (k-NN) vs fuzzy c-means (FCM). In 15th WSEAS International Conference on Computers (pp. 15-17). |
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1447 |
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Khalid, N. E. A., Ariff, N. M., Yahya, S., & Noor, N. M. (2011). A review of bio-inspired algorithms as image processing techniques. In Software engineering and computer systems (pp. 660-673). Springer Berlin Heidelberg. |
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1448 |
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Hasan, M. M., & Mishra, P. K. (2011). Comparative Study for Construction of Gesture Recognition System. International Journal of Computer Science and Software Technology, 4(1), 15-21. |
|
1449 |
|
Wan, T., & Qin, Z. (2011). An application of compressive sensing for image fusion. International Journal of Computer Mathematics, 88(18), 3915-3930. |
|
1450 |
|
Haghighat, M. B. A., Aghagolzadeh, A., & Seyedarabi, H. (2011). A non-reference image fusion metric based on mutual information of image features. Computers & Electrical Engineering, 37(5), 744-756. |
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1451 |
|
Gimmihwa, Choi, & Park, Young - Tack. (2011). Rules of the smartphone environment for providing information in accordance with differential rights based context modeling. Korea Society of Computer and Information Science Society Korea 2011 General Conference Article 38 No. 1 (A), 38 (1A), 131-134. |
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1452 |
|
Sihombing, P., & Budiman, A. (2011). Analisis Dan Perancangan Kode Matriks Dua Dimensi Quick Response (QR) Code. |
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1453 |
|
Janahiraman, T. V. (2011). SOM based segmentation method to identify water region in LANDSAT images. International Journal of Electronics, Computer and Communications Technologies, 2(1), 13-18. |
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1454 |
|
Hou, B., Yang, W., Wang, S., & Jiao, L. C. (2011, September). A new visual attention-based method for water detection in SAR images. In Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on (pp. 1-2). IEEE. |
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1455 |
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Dasu, M. V., Anitha, V. R., Shaik, F., & Rahim, B. A. (2011). Feature Extraction of Satellite Images Using Decorrelation Stretching and Color Scatter Plots. Digital Image Processing, 3(14), 873-877. |
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1456 |
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Barry, O. (2011). Semi-Automatic Extraction of Information from Satellite Images. |
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1457 |
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Mignotte, M. (2011). Mds-based multiresolution nonlinear dimensionality reduction model for color image segmentation. Neural Networks, IEEE Transactions on, 22(3), 447-460. |
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1458 |
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Nath, S., Agarwal, S., & Kazmi, Q. A. (2011). Image histogram segmentation by multi-level thresholding using hill climbing algorithm. Int. J. Comput. Appl, 35(1). |
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1459 |
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Kekre, H. B., Sarode, T. K., Natu, P. J., & Natu, S. J. (2011). Performance Comparison of Face Recognition using DCT and Walsh Transform with Full and Partial Feature Vector against KFCG VQ Algorithm. threshold, 4, 29. |
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1460 |
|
Kekre, H. B., Thepade, S. D., & Banura, V. K. (2011). Performance Comparison of Texture Pattern Based Image Retrieval Methods using Walsh, Haar and Kekre Transforms with Assorted Thresholding Methods. International Journal of Computer Science and Information Security, 9(3), 76. |
|
1461 |
|
Kekre, H. B., Sarode, T., & Ugale, M. S. (2011). Performance Comparison of Image Classifier using Discrete Cosine Transform and Walsh Transform. In IJCA Proceedings on International Conference and workshop on Emerging Trends in Technology (ICWET)(4) (pp. 14-20). |
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1462 |
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Padmanabhan, S. A., & Chandramathi, S. (2011, December). A proficient video encoding system through a novel motion estimation algorithm. In Advanced Computing (ICoAC), 2011 Third International Conference on (pp. 151-156). IEEE. |
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1463 |
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Kekre, H. B., Thepade, S. D., Viswanathan, A., Varun, A., Dhwoj, P., & Kamat, N. (2011). Palm print identification using fractional coefficients of Sine/Walsh/Slant transformed palm print images. In Technology Systems and Management (pp. 214-220). Springer Berlin Heidelberg. |
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1464 |
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Kekre11, H. B., Thepade, S. D., Banura, V. K., & Khandelwal, A. (2011). Introducing Global and Local Walsh Wavelet Transform for Texture Pattern Based Image Retrieval. IJCSNS, 11(9), 65. |
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1465 |
|
Kekre, H. B., Sarode, T. K., & Ugale, M. S. (2011, February). An efficient image classifier using discrete cosine transform. In Proceedings of the International Conference & Workshop on Emerging Trends in Technology (pp. 330-337). ACM. |
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1466 |
|
Kekre, H. B., Sarode, T. K., & Ugale, M. S. (2011). Performance Comparison of Image Classifier Using DCT, Walsh, Haar and Kekre's Transform. International Journal of Computer Science and Information Security, 9(7), 26. |
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1467 |
|
da Silva Matos, H. J. (2011). Reconhecimento biométrico baseado na geometria da mão (Doctoral dissertation, UNIVERSIDADE DO PORTO). |
|
1468 |
|
Wang, C. (2011). Monocular Vision-Based Obstacle Detection for Unmanned Systems. |
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1469 |
|
Wang, S., Zhao, Z., Yu, P., & Guang, Z. (2011, October). Infrared/visible image matching algorithm based on nsct and daisy. In Image and Signal Processing (CISP), 2011 4th International Congress on (Vol. 4, pp. 2072-2075). IEEE. |
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1470 |
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Sarvaiya, J., Patnaik, S., & Goklani, H. (2011). Image Registration Using Mexican-Hat Wavelets and Invariant Moments. In Computer Networks and Information Technologies (pp. 574-577). Springer Berlin Heidelberg. |
|
1471 |
|
Supianto, A. A., Arifin, A. Z., & Wijaya, A. Y. Nonsubsampled contourlet transform dan iterative point correspondence untuk registrasi pada citra dental periapikal. |
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1472 |
|
Kekre, H. B., Thepade, S. D., & Banura, V. K. (2011). Performance Comparison of Texture Pattern Based Image Retrieval Methods using Walsh, Haar and Kekre Transforms with Assorted Thresholding Methods. International Journal of Computer Science and Information Security, 9(3), 76. |
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1473 |
|
Kekre11, H. B., Thepade, S. D., Banura, V. K., & Khandelwal, A. (2011). Introducing Global and Local Walsh Wavelet Transform for Texture Pattern Based Image Retrieval. IJCSNS, 11(9), 65. |
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1474 |
|
Kekre, H. B., Thepade, S. D., & Sanas, S. (2011). Performance Appraise of Assorted Thresholding Methods in CBIR using Block Truncation Coding. International Journal of Computer Science and Information Security, 9(6), 249. |
|
1475 |
|
Arai, K., & Tolle, H. (2011). Method for extracting product information from TV commercial. International Journal of Advanced Computer Science and Applications, Special Issue on Artificial Intelligence, 2(8), 125-131. |
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1476 |
|
Guérin, C., Mercier, A., Rigaud, C., Tsopze, N., Bertet, K., Burie, J. C., ... & Revel, A. Ontologie d'images de bandes dessinées: utilisation de Sewelis. |
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1477 |
|
Malara, M., & Poroca de Noronha, C. (2011). Innovation in the Swedish service sector:-An e-survey analysis. |
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1478 |
|
Halder, A., Pramanik, S., & Kar, A. (2011). Dynamic image segmentation using fuzzy C-means based genetic algorithm. International Journal of Computer Applications, 28(6), 15-20. |
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1479 |
|
Zakir, U. (2011). Automatic road sign detection and recognition (Doctoral dissertation, © Usman Zakir). |
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1480 |
|
Kumar, D., & Rana, N. (2011). Speech Synthesis System for Online Handwritten Punjabi Word: An Implementation of SVM & Concatenative TTS. International Journal of Computer Applications (0975–8887) Volume. |
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1481 |
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Nizamani, A. M., & Janjua, N. U. H. (2011). Sindhi OCR using Back propagation Neural Network. International Journal of Computer Science and Security (IJCSS), 1(3), 1. |
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1482 |
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Rana, N., & Kumar, D. (2011). A Hybrid Recognition & Speech Synthesis System for Handwritten Punjabi Words. International Journal of Advanced Research in Computer Science, 2(2). |
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1483 |
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Prasad, M. S. R. S., Panda, S. S., Deepthi, G., & Anisha, V. (2011). Face recognition using PCA and feed forward neural networks. International Journal of Computer Science and Telecommunications, 2(8), 79-82. |
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1484 |
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Deboeverie, F., Veelaert, P., & Philips, W. (2011). Face analysis using curve edge maps. In Image Analysis and Processing–ICIAP 2011 (pp. 109-118). Springer Berlin Heidelberg. |
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1485 |
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Abdu Rahiman, V., & Jiji, C. V. (2011). Face Hallucination using Eigen Transformation in Transform Domain. International Journal of Image Processing (IJIP), 3(6), 265. |
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1486 |
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Kumar, S., & Banerji, S. (2011). Face recognition using K2DSPCA. In Proceedings of the International Conference on Information and Network Technology (pp. 84-88). |
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1487 |
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Shylaja, S. S., Murthy, K. B., & Natarajan, S. (2011). Dimensionality reduction techniques for face recognition. Reviews, Refinements and New Ideas in Face Recognition, InTech, 141-166. |
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1488 |
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Kashem, M. A., Ahmed, S., Akhter, M. N., & Alam, M. M. (2011). Automatically Face Detection and Recognition System Based on Principal Component Analysis (PCA) with Back Propagation Neural Networks (BPNN). IJCIT, ISSN, 2078-5828. |
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Song, H. A., Choi, S. D., & Lee, S. Y. (2011, November). Enhanced discrimination of face orientation based on gabor filters. In Neural Information Processing (pp. 217-224). Springer Berlin Heidelberg. |
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1490 |
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Wandale, M. S. P., Tijare, P. A., & Sawalkar, S. N. Principal Component Analysis (PCA) with Back Propogation Neural Network (BPNN) for Face Recognition System. |
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1491 |
|
G. Sulong , A. Rehman and T. Saba."Improved Offline Connected Script Recognition Based on Hybrid Strategy".International Journal of Engineering Science and Technology, 2(6):1603-1611, 2010 |
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1492 |
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M. K. Bhowmik, D. Bhattacharjee, M. Nasipuri, D. K. Basu, M. Kundu."Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition – A Comparative Study". International Journal of Image Processing (IJIP), 4(1):1-12 |
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1493 |
|
P. S. Rao, S. S. Chaudhuri, R. Laishram."Invariant Recognition of Rectangular Biscuits with Fuzzy Moment Descriptors, Flawed Pieces Detection". International Journal of Image Processing, 4(3): 232 -239 |
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1494 |
|
Dr. H.B.Kekre, S. D. Thepade, A. Maloo."CBIR Feature Vector Dimension Reduction with Eigenvectors of Covariance Matrix using Row, Column and Diagonal Mean Sequences".International Journal of Computer Applications, 3(12):39–46, 2010 |
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1495 |
|
Dr. H. B. Kekre, T. Sarode, S. Natu, P. Natu. "Performance Comparison Of 2-D DCT On Full/Block Spectrogram And 1-D DCT On Row Mean Of Spectrogram For Speaker Identification".International Journal of Biometrics and Bioinformatics(IJBB), 4(3):100-112 |
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1496 |
|
H.B.Kekre, D. Mishra."Performance Comparison of Density Distribution and Sector mean of sal and cal functions in Walsh Transform Sectors as Feature Vectors for Image Retrieval". International Journal Of Image Processing (IJIP), 4(3): 205-217 |
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1497 |
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Shang, F., Zhai, J., Song, S., Song, Z., & Wang, C. (2010). Performance improvement of phase change memory cell by using a cerium dioxide buffer layer. Applied Physics Letters, 96(20), 3504. |
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1498 |
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Chuang, C. H., & Lin, G. S. (2010). Data steganography for optical color image cryptosystems. International Journal of Image Processing, 3(6), 318. |
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1499 |
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Yang, C. Y., & Hu, W. C. (2010). Reversible data hiding in the spatial and frequency domains. Int. J. Image Process, 3(6), 265-384. |
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1500 |
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Krishna, S. L. V., Abdul Rahim, B., Shaik, F., & Rajan, K. S. (2010, November). Lossless embedding using pixel differences and histogram shifting technique. In Recent Advances in Space Technology Services and Climate Change (RSTSCC), 2010 (pp. 213-216). IEEE. |
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1501 |
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Bhoyar, K., & Kakde, O. (2010). Color image segmentation based on JND color histogram. International Journal of Image Processing (IJIP), 3(6), 283. |
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1502 |
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Mohanty, S., & Bebartta, H. N. D. (2010). A Novel Approach for Bilingual (English-Oriya) Script Identification and Recognition in a Printed Document. International Journal of Image Processing (IJIP), 4(2), 175. |
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1503 |
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Kekre, H. B., & Mishra, D. (2010). Performance Comparison of Density Distribution and Sector mean of sal and cal functions in Walsh Transform Sectors as Feature Vectors for Image Retrieval. International Journal Of Image Processing (IJIP), 4(3), 205. |
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1504 |
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Syam, B., & Rao, Y. S. (2010, April). Integrating contourlet features with texture, color and spatial features for effective image retrieval. In Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on (pp. 289-293). IEEE. |
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1505 |
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Kekre, H. B., & Sarode, T. (2010). Two Level Vector Quantization Method for Codebook Generation using Kekre’s Proportionate Error Algorithm. International Journal of Image Processing, 4(1), 1-10. |
|
1506 |
|
Mohamed, A. S. S. (2010). From content-based to semantic image retrieval. Low level feature extraction, classification using image processing and neural networks, content based image retrieval, hybrid low level and high level based image retrieval in the compressed DCT domain (Doctoral dissertation, University of Bradford). |
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1507 |
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Lili, N. A. (2010). The Automated Model Classifier Construction with Multimodal Features for Detecting Human Actions. |
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1508 |
|
Bakkers, T. (2010). On the performance of segmentation techniques for identifying media use habits (Doctoral dissertation, Tilburg University). |
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1509 |
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Ain, Q. U., Mehmood, I., Naqi, S. M., & Jaffar, M. A. (2010). Bayesian classification using DCT features for brain tumor detection. In Knowledge-Based and Intelligent Information and Engineering Systems (pp. 340-349). Springer Berlin Heidelberg. |
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1510 |
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Farmaki, C., Mavrigiannakis, K., Marias, K., Zervakis, M., & Sakkalis, V. (2010, November). Assessment of automated brain structures segmentation based on the mean-shift algorithm: Application in brain tumor. In Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on (pp. 1-5). IEEE. |
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1511 |
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Eqbal, S., & Balkrishnan, V. (2010). Detection of Brain Tumor Suspect Areas from CAT scan and MR Images Using CUDA. |
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1512 |
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Mohanty, S., & Bebartta, H. N. D. (2010). A Novel Approach for Bilingual (English-Oriya) Script Identification and Recognition in a Printed Document. International Journal of Image Processing (IJIP), 4(2), 175. |
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1513 |
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Rajiv, K. S., & Amardeep, S. D. (2010). Challenges in segmentation of text in handwritten Gurmukhi script. Information Processing and Management, 388-392. |
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1514 |
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Sarkar, R., Malakar, S., Das, N., Basu, S., & Nasipuri, M. (2010). A Script Independent Technique for Extraction of Characters from Handwritten Word Images. International Journal of Computer Applications, 1(23), 85-90. |
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1515 |
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Kaur, A., Sharma, R. K., & Singh, A. (2010). A Hybrid Approach to Classify Gurmukhi Script Characters. International Journal of Recent Trends in Engineering and Technology, 3(2), 103-105. |
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1516 |
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Kumar, R., & Singh, A. (2010). Detection and Segmentation of Handwritten Text in Gurmukhi Script using Flexible Windowing. International Journal of Computer Theory and Engineering, 2(3), 329-332. |
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1517 |
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Kumar, R., & Singh, A. (2010, February). Detection and segmentation of lines and words in Gurmukhi handwritten text. In Advance Computing Conference (IACC), 2010 IEEE 2nd International (pp. 353-356). IEEE. |
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1518 |
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Mohanty, S., & Bebartta, H. N. D. (2010). A Novel Approach for Bilingual (English-Oriya) Script Identification and Recognition in a Printed Document. International Journal of Image Processing (IJIP), 4(2), 175. |
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1519 |
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Arora, S., Bhattacharjee, D., Nasipuri, M., Basu, D. K., & Kundu, M. (2010). Recognition of non-compound handwritten devnagari characters using a combination of mlp and minimum edit distance. arXiv preprint arXiv:1006.5908. |
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1520 |
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Saba, T., Sulong, G., & Rehman, A. (2010). A survey on methods and strategies on touched characters segmentation. International Journal of Research and Reviews in Computer Science, 1(2), 103-114. |
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1521 |
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Bhowmik, M. K., Bhattacharjee, D., Nasipuri, M., Basu, D. K., & Kundu, M. (2010). Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition-A Comparative Study. arXiv preprint arXiv:1007.0626. |
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1522 |
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Lin, Y. W., Li, G. L., Chen, M. J., Yeh, C. H., & Huang, S. F. (2010). Repeat-Frame Selection Algorithm for Frame Rate Video Transcoding. International Journal of Image Processing (IJIP), 3(6), 341. |
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1523 |
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Kekre, H. B., & Sarode, T. (2010). Two Level Vector Quantization Method for Codebook Generation using Kekre’s Proportionate Error Algorithm. International Journal of Image Processing, 4(1), 1-10. |
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1524 |
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Daramola, S. A., & Ibiyemi, T. S. (2010). Offline signature recognition using hidden markov model (HMM). International journal of computer applications, 10(2), 17-22. |
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1525 |
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Soleymanpour, E., Rajae, B., & Pourreza, H. R. (2010, October). Offline handwritten signature identification and verification using contourlet transform and Support Vector Machine. In Machine Vision and Image Processing (MVIP), 2010 6th Iranian (pp. 1-6). IEEE. |
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Shashikumar, D. R., Raja, K. B., Chhotaray, R. K., & Pattanaik, S. (2010, December). Biometric security system based on signature verification using neural networks. In Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on (pp. 1-6). IEEE. |
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Shashi Kumar, D. R., Ravi Kumar, R., Raja, K. B., Chhotaray, R. K., & Pattanaik, S. (2010). Combined Off-Line Signature Verification Using Neural Networks. In Information and Communication Technologies (pp. 580-583). Springer Berlin Heidelberg. |
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Rajaei, B., & Pourreza, H. R. (2010, October). Offline Handwritten Signature Identification and Verification Using Contourlet Transform and Support Vector Machine. In 6th Iranian Conf. on Machine Vision and Image Processing. |
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1529 |
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Paunwala, C. N., & Patnaik, S. (2010). A novel multiple license plate extraction technique for complex background in Indian traffic conditions. International Journal of Image Processing (IJIP), 4(2), 106. |
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1530 |
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Akhtari, M., & Faez, K. (2010, August). The application of a CICA neural network on Farsi license plates recognition. In Hybrid Intelligent Systems (HIS), 2010 10th International Conference on (pp. 205-208). IEEE. |
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