Extracting Texture Features from Arbitrary-shaped Regions for Image Retrieval
- Ying Liu ,
- Xiaofang Zhou ,
- Wei-Ying Ma
Published by Institute of Electrical and Electronics Engineers, Inc.
Lots of work has been done in texture feature extraction for rectangular images, but not as much attention has been paid to the arbitrary-shaped regions available in region-based image retrieval (RBIR) systems. In this paper, we present a texture feature extraction algorithm based on Projection Onto Convex Sets (POCS) theory. POCS iteratively concentrates more and more energy into the selected coefficients from which texture feature of an arbitrary-shaped region can be extracted. Experimental results demonstrate the effectiveness of the proposed algorithm for image retrieval purposes.
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