关键词: 非下采样Contourlet变换, 小波包变换, 相似度, 纹理检索

Abstract: To increase the validity of texture feature extraction in content-based image retrieval system, a novel approach for texture image retrieval was proposed. This approach was based on the NonSubsampled Contourlet Transform (NSCT). The means and variables of NSCT coefficients matrix in different subbands and various directions were extracted to form the feature vectors which were regarded as indexes of texture images in image database. Two similarity functions were used to compute the similarity between images. A texture retrieval system based on query image was developed. Compared to the wavelet package transform, this approach can not only reduce the dimension of feature vectors, but also get higher accuracy and speed of retrieval.

Key words: NonSubsampled Contourlet Transform (NSCT), wavelet package transform, similarity, texture retrieval