A method of window and edge selection for color stereo images

Two algorithms are proposed in this article to improve the matching of stereo image pairs. One is the improved algorithm of adaptive image window; the other is an improved algorithm in edge pixel areas, which is used to enhance the correction rate of matching the edge pixels by reducing the Corr (color correlation measurement) of the edge pixels. These two algorithms are investigated by matching four stereo images (Tsukuba, Venus, Teddy and Cones) with ground truth provided in Middlebury stereo database. Experimental results show that the correction rate of matching is improved obviously for all the stereo images.