Image retrieval using texture features BDIP and BVLC
Sang Yong Seo, Young Deok Chun, Dae Sung Kim, Nam Chul Kim · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
In this paper, we first propose new texture features, BDIP (block difference of inverse probabilities) and BVLC (block variation of local correlation coefficients), for content-based image retrieval (CBIR) and then present an image retrieval method based on the combination of BDIP and BVLC moments. BDIP uses the local probabilities in image blocks to measure the variation of brightness well. BVLC uses the variations of local correlation coefficients in images blocks to measure texture smoothness well. Experimental results show that the presented retrieval method yields about 12% better performance than the method using only BDIP or BVLC moments and about 10% better performance than the method using wavelet moments.