A method using texture and color feature for content-based image retrieval
He Zhang, Xiuhua Jiang · 2015
With the rapid growth of image database, content-based image retrieval (CBIR) technology with its high value in theory and application has become a hot topic in the field of image processing. 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 fusion algorithm combines Gabor transform and edge histogram. The color histogram in HSV color space is chosen as the color feature, and the blocking and fuzzy color histogram is proposed in this paper. The experiment results show that this method is more efficient than the traditional CBIR method based on the single visual feature and method combining color and texture like CEDD.