Gabor wavelets are one of the important approaches to texture feature extraction. Through the orthogonality of its base functions

the Gabor wavelets can not only extract texture features effectively

but also reduce redundancy. However

the texture feature vector computed from the Gabor wavelets has higher dimension. An approach using modified Gabor wavelets is presented in the paper. The approach uses the Gabor wavelets to compute energy of different scales and different directions

and the dominant peak set. Then the texture feature vector is computed from the dominant peak set. Furthermore

standardized energy is introduced into similarity measure as weights. Experiments show that the system that uses the modified Gabor wavelets has about the same retrieval performance as that uses the Gabor wavelets. However

the dimension of the texture feature vector of the former is only 6.1% of that of the latter.