Image retrieval using texture features BDIP and BVLC

Sang Yong Seo; Young Deok Chun; Dae Sung Kim; Nam Chul Kim

doi:10.1117/12.451116

19 December 2001 Image retrieval using texture features BDIP and BVLC

Sang Yong Seo, Young Deok Chun, Dae Sung Kim, Nam Chul Kim

Proceedings Volume 4676, Storage and Retrieval for Media Databases 2002; (2001) https://doi.org/10.1117/12.451116
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

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.

Citation Download Citation

Sang Yong Seo, Young Deok Chun, Dae Sung Kim, and Nam Chul Kim "Image retrieval using texture features BDIP and BVLC", Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); https://doi.org/10.1117/12.451116

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