Color and Texture Features for Content Based Image Retrieval

Content based image retrieval (CBIR) has been one of the most important research areas in computer science for the last decade. A retrieval method which combines color and texture feature is proposed in this paper. According to the characteristic of the image texture, we can represent the information of texture by Multi Wavelet transform. We choose the color correlogram in RGB color space as the color feature. The experimental t results show that this method is more efficient than the traditional CBIR method based on the single visual feature and other methods combining color and texture.

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