融合边缘特征的SAD立体匹配算法

为保证SAD算法的立体匹配效率,提高匹配精度,提出一种融合边缘特征的立体匹配算法Edge-Gray.通过边缘计算得到边缘特征图,在进行匹配的过程中,根据当前点与领域点的差值确定匹配窗口大小和匹配源图,在此基础上进行视差优化得到视差图.实验结果表明,与传统的SAD算法相比,Edge-Gray算法的平均误匹配率较低,对于边缘较多的Cones图像立体匹配效果较好,其误匹配率可降低10.52%.

SAD Stereo Matching Algorithm Combining Edge Features

In order to ensure the stereo matching efficiency of SAD algorithm and improve the matching accuracy,this paper proposes an Edge-Gray algorithm with edge features.The edge feature map is obtained by edge calculation.During the matching process,the size of the matching window and the source map are determined according to the difference between the current point and the field point.On this basis,the disparity map is obtained by performing parallax optimization.Experimental results show that compared with the traditional SAD algorithm,the average mismatch rate of the Edge-Gray algorithm is lower,it has best stereo matching effect for Cones images with more edges,with a mismatch rate reduced by 10.52%.