Content Based Image Retrieval Using Motif Cooccurence Matrix
نویسندگان
چکیده
We present a new technique for content based image retrieval using motif cooccurence matrix(MCM). MCM is derived using a motif transformed image. The whole image is divided into 2 2 pixel grids. Each grid is replaced with the scan motif which minimize the local gradient while traversing the 2 2 grid forming a motif transformed image. MCM is then de ned as a 3 dimensional matrix whose (i,j,k) entry denotes the probability of nding a motif i at a distance k from motif j in the transformed image. Conceptually the motif cooccurence matrix is quite similar to color cooccurence matrix (CCM). MCM performs much better than CCM since it captures the third order image statistics in the local neighborhood. Experiments con rm that use of MCM considerably improves the performance of CBIR system.
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