提出了一种改进的视差匹配算法。采用基于图像彩色分割的自适应权重方法，提高了DSM算法中像素点显著性估计的准确度，降低了视差匹配的误匹配率；并利用同一彩色区域的像素视差的相关性，缩小了视差匹配的搜索范围，减少了视差匹配的运算量。使用Middlebury网站的标准测试图像对文中的视差匹配算法进行了评估，实验结果表明，提出的视差匹配算法与DSM算法相比，降低了误匹配率，并且提高了运算速度。

A novel disparity matching algorithm is proposed.A color segmentation based adaptive weight algorithm is adopted to improve the accuracy of distinctiveness estimation,which has an important influence on the result of disparity matching.Besides,we take advantage of the disparity correspondence of the pixels in the same color region to reduce the range of disparity search and to decrease the computation cost.We use the standard test images on the Middlebury website to evaluate our algorithm.Experimental results show that,compared with the DSM method,our algorithm has a smaller error rate and faster computational speed.