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We propose two new texture features, block difference of inverse probabilities (BDIP) and block variation of local correlation coefficients (BVLC), for content-based image retrieval (CBIR) and then present an image retrieval method based on the combination of BDIP and BVLC moments. BDIP uses local probabilities in image blocks to measure an image's local brightness variations well. BVLC uses variations of local correlation coefficients in image blocks to measure local texture smoothness of an image well. Experimental results show that the presented retrieval method yields about 12% better performance in precision versus recall and about 0.13 in average normalized modified retrieval rank (ANMRR) than the method using wavelet moments.