Automation textured and non-textured images classification and retrieval

This paper proposes a wavelet fuzzy clustering algorithm that textured and non-textured images can be automatically classified and retrieved. At first, wavelet transform is performed on the images. Secondly, fuzzy clustering is performed in the lowest frequency wavelet subband of the images according to the color and texture features. Thirdly, the images are judged as textured or non-textured images by using the region scatterness. Finally, the features can be extracted and the similarity of images can be obtained according to the similarity criterion. The algorithm is confirmed by the test that can get good classify and retrieval performance.