提出了一种基于感兴趣区的小波域彩色图像检索新方法.该方法首先结合人眼视觉感知特性,在小波变换域内利用K-均值聚类提取出感兴趣区域,然后以感兴趣区的小波系数局部能量作为纹理特征,颜色均值和均方差作为颜色特征,重心坐标作为位置特征,计算图像间内容的相似度并进行检索.仿真实验结果表明,当图像中有明显的感兴趣区域时（特别是背景简单的图像）,该方法能够更加准确地查找出用户所需内容的图像,明显地提高了检索精度.

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).