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A novel Image Retrieval System using an effective region based shape representation technique
Santhosh.P.Mathew, Philip Samuel
Pages - 509 - 517     |    Revised - 30-11-2010     |    Published - 20-12-2010
Volume - 4   Issue - 5    |    Publication Date - December 2010  Table of Contents
Shape Representation, Image Retrieval, Shape signature, Enhancement, Segmentation
With recent improvements in methods for the acquisition and rendering of shapes, the need for retrieval of shapes from large repositories of shapes has gained prominence. A variety of methods have been proposed that enable the efficient querying of shape repositories for a desired shape or image. Many of these methods use a sample shape as a query and attempt to retrieve shapes from the database that have a similar shape. This paper introduces a novel and efficient shape matching approach for the automatic identification of real world objects. The identification process is applied on isolated objects and requires the segmentation of the image into separate objects, followed by the extraction of representative shape signatures and the similarity estimation of pairs of objects considering the information extracted from the segmentation process and shape signature. We compute a 1D shape signature function from a region shape and use it for region shape representation and retrieval through similarity estimation. The proposed region shape feature is much more efficient to compute than other region shape techniques invariant to image transformation.
CITED BY (3)  
1 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).
2 Mathew, S. P., Balas, V. E., Zachariah, K. P., & Samuel, P. (2014). A Content-based Image Retrieval System Based on Polar Raster Edge Sampling Signature. Acta Polytechnica Hungarica, 11(3).
3 Sundby, D. (2011). Summarizing image collections.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 iSEEK 
5 Socol@r  
6 Scribd 
7 SlideShare 
9 PdfSR 
. Dengsheng Zhang and Melissa Chen Yi Lim. An Efficient and Robust Technique for Region Based Shape Representation 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007)
A. Goshtasby: Description and Discrimination of Planar Shapes Using Shape Matrices IEEE Trans on Pattern Recognition and Machine intelligence - Vol 6 November 1985
Blei, D. and Jordan, M. Modeling annotated data. In Proceedings of 26th International Conference on Research and Development in Information Retrieval (SIGIR). 2003.
Chandra Sekhar Panda, Srikanta Patnaik, “Filtering Corrupted Image and Edge Detection in Restored Grayscale Image Using Derivative Filters”, International Journal of Image Processing (IJIP),3(3):105-119
D. S. Zhang and G. Lu: Review of Shape Representation and Description Techniques. Pattern Recognition, 37(1):1-19, 2004.
F. Long, H. J. Zhang and D. D. Feng: Fundamentals of Content-based Image Retrieval. In D. Feng Eds, Multimedia Information Retrieval and Management—Technological Fundamentals and Applications, Springer, 2003.
J. Eakins, M. Graham: Content-based Image Retrieval. Technical Report, University of Northumbria at Newcastle, 1999.
James C. Tilton, "Method for recursive hierarchical segmentation by region Growing and spectral clustering with a natural convergence criterion, " Disclosure of Invention and New Technology: NASA Case No. GSC 14,328-1.
Jean-Marie Beaulieu and Morris Goldberg, “Hierarchy in picture segmentation: A stepwise optimization approach,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 11, No. 2, pp. 150-163, February 1989.
Jeon, J., Lavrenko, V., and Manmatha, R. Automatic Image Annotation and Retrieval using Cross-Media Relevance Models. In Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval. 2003.
Juan Manuel Barrios, Diego Díaz-Espinoza, Benjamin Bustos, "Text-Based and ContentBased Image Retrieval on Flickr: DEMO," sisap, pp.156-157, 2009 Second International Workshop on Similarity Search and Applications, 2009
K. S. Fu and J. K. Mui, “A survey on image segmentation,” Pattern Recognition, Vol 13, pp. 3- 16, 1981.
Nor Hazlyna Harun ,N.R.Mokhtar,M.Y. Mashor , H.Adilah ,R.Adollah,Nazahah Mustafa, N.F.Mohd Nasir , H.Roseline, ‘Color image enhancement techniques based on partial contrast and contrast stretching for acute leukaemia images’, ICPE-2008
R.W.Jr. Weeks,(1996). Fundamental of Electronic Image Processing. Bellingham: SPIE Press.
Raman Maini, Himanshu Aggarwal “Study and Comparison of Various Image Edge Detection Techniques” International Journal of Image Processing (IJIP), 3(1):1-11, 2009
Wilkins, Peter and Ferguson, Paul and Smeaton, Alan F. and Gurrin, Cathal (2005) Text based approaches for content-based image retrieval on large image collections. In: EWIMT 2005 - 2nd European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies, 30 Nov -1 Dec 2005, London, UK.
Y. Rui, T. S. Huang, and S.-F. Chang: Image Retrieval: Current Techniques, Promising Directions, and Open Issues. Journal of Visual Communication and Image Representation, 10(4):39-62, 1999.
Professor Santhosh.P.Mathew
SaintgitsCollege of Engineering - India
Professor Philip Samuel
- India