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Fast Segmentation of Sub-cellular Organelles
Dilip Kumar Prasad, Chai Quek, Maylor K. H. Leung
Pages - 317 - 325     |    Revised - 15-09-2012     |    Published - 24-10-2012
Volume - 6   Issue - 5    |    Publication Date - October 2012  Table of Contents
Segmentation, Bio-cell Organelles, Fluorescence Microscopy, Ellipse Detection
Segmentation and counting sub-cellular structure is a very challenging problem even for medical experts. A fast and efficient method for segmentation and counting of sub-cellular structure is proposed. The proposed method uses a hybrid combination of several image processing techniques and is effective in segmenting the sub-cellular structures in a fast and effective manner.
CITED BY (6)  
1 Niri, E. D., & Singh, T. (2016). Unscented Transformation based estimation of parameters of nonlinear models using heteroscedastic data. Pattern Recognition, 55, 160-171.
2 Prasad, D. K., & Quek, C. (2013, December). Comparison of error bounds for non-parametric dominant point detection. In Information, Communications and Signal Processing (ICICS) 2013 9th International Conference on (pp. 1-5). IEEE.
3 Prasad, D. K. (2013). Object detection in real images. arXiv preprint arXiv:1302.5189.
4 Prasad, D. K. (2013). Geometric primitive feature extraction-concepts, algorithms, and applications. arXiv preprint arXiv:1305.3885.
5 Prasad, D. K. (2012). Survey of the problem of object detection in real images. International Journal of Image Processing (IJIP), 6(6), 441.
6 Prasad, D. K. (2012). Assessing error bound for dominant point detection. International Journal of Image Processing (IJIP), 6(5), 326.
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Mr. Dilip Kumar Prasad
- Singapore
Mr. Chai Quek
Nanyang Technological University - Singapore
Mr. Maylor K. H. Leung
Universiti Tunku Abdul Rahman - Malaysia

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