A Novel Similarity Measure Method for CBIR System

摘要

This paper presents a novel similarity measure method based a combination of color and texture feature representations. In this method, the YIQ color space is chosen, because it can describe both color images and gray images and the transform from RGB to YIQ is linear and simple than other color space. In the proposed method, we firstly segment image using texture feature by combination of wavelet transform and texture co-occurrence matrix and then quantize color feature in YIQ color space for every segmentation partition. Based on image segmentation and color quantization, a new kind of similarity measure is proposed. Compared with the traditional image retrieval methods, the proposed method is very efficient for the image retrieval purpose.