A Novel Color Image Retrieval Scheme Based on Regions-of-Interest
基于感兴趣区的小波域彩色图像检索新方法

In this paper,a new ROI based color image retrieval using DWT is proposed.Firstly,the ROI are extracted in DWT domain by using the human visual characteristic and K-mean clustering.Secondly,the local energy of wavelet coefficients of ROI is used for the texture feature,the mean values and standard deviations are used for the color feature,and the weight center coordinate of ROI is used for the location feature.Finally,the similarity between images is computed according to the ROI' above features.Experimental results show that our image retrieval is more accurate in retrieving the user-interested images when there are ROI in the image(especially for the image with simple background).