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Content Based Image Retrieval Based on Color, Texture and Shape Features Using Image and its Complement
P. S. Hiremath, Jagadeesh Pujari
Pages - 25 - 35     |    Revised - 15-12-2007     |    Published - 15-12-2007
Volume - 1   Issue - 4    |    Publication Date - December 2007  Table of Contents
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KEYWORDS
Multiresolution grid, Integrated matching, Conditional co-occurrence histograms, Local descriptors, Gradient vector flow field
ABSTRACT
Color, texture and shape information have been the primitive image descriptors in content based image retrieval systems. This paper presents a novel framework for combining all the three i.e. color, texture and shape information, and achieve higher retrieval efficiency using image and its complement. The image and its complement are partitioned into non-overlapping tiles of equal size. The features drawn from conditional co-occurrence histograms between the image tiles and corresponding complement tiles, in RGB color space, serve as local descriptors of color and texture. This local information is captured for two resolutions and two grid layouts that provide different details of the same image. An integrated matching scheme, based on most similar highest priority (MSHP) principle and the adjacency matrix of a bipartite graph formed using the tiles of query and target image, is provided for matching the images. Shape information is captured in terms of edge images computed using Gradient Vector Flow fields. Invariant moments are then used to record the shape features. The combination of the color and texture features between image and its complement in conjunction with the shape features provide a robust feature set for image retrieval. The experimental results demonstrate the efficacy of the method.
CITED BY (4)  
1 Li, D., & Wang, Y. (2015). The Image Retrieval Based on the Hybrid Algorithm of the Primary Color and Color Layout Descriptor.
2 Vimina, E. R., & Jacob, K. P. (2014). An Evaluation of Image Matching Algorithms for Region Based Image Retrieval. International Journal of Advancements in Computing Technology, 6(6), 75.
3 Sun, D., Deng, H., Wang, F., Ji, K., Dai, W., Liang, B., & Wei, S. (2013, November). The Feature Related Techniques in Content-Based Image Retrieval and Their Application in Solar Image Data. In Intelligent Networks and Intelligent Systems (ICINIS), 2013 6th International Conference on (pp. 336-339). IEEE.
4 Jalab, H. A. (2011, September). Image retrieval system based on color layout descriptor and Gabor filters. In Open Systems (ICOS), 2011 IEEE Conference on (pp. 32-36). IEEE.
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Mr. P. S. Hiremath
- India
Mr. Jagadeesh Pujari
- India
jaggudp@yahoo.com