Color Image Retrieval Method Based on Wavelet Multiresolution Analysis
基于小波多尺度分析的彩色图像检索方法

A large number of images come forth because of the prevalence of multimedia technology and the implement of Internet technology. Since traditional text keyword-based retrieval approach can't adapt to the demand of image data retrieval, so content-based image retrieval(CBIR) technology becomes the current research focus. Among the contend-based retrieval technologies, feature extraction is most important. For instance, color, texture and shape feature etc. But each feature of image can only catch one aspect of the similarity of image, how to represent images better has become a important research field in content-based image retrieval. We come up with a representation method of image based on color and texture feature of image. In this method, we use the histogram of HSV color space as color feature, and the detail information of the multiresolution representation of image as texture feature. Take full advantage of the rich representation of color and the statistics of the wavelet coefficients. Through the comparative experiment on the recall of image retrieval over various image type and various combination of feature, we can conclude that this representation of image is feasible and valid in image retrieval.