Study on stereo algorithm based on image segmentation

Abstract

In this paper, we reconstruct the three-dimensional structure by stereo algorithm using image segmentation. After a reference image is segmented into small regions according to the color distribution, the disparities of the regions are optimized based on a cost function. In particular, in order to prevent the disparity integration of regions on different planes, the closeness coefficients are determined based on strength and confidence of edges between the regions and the neighboring regions, and then incorporated into the cost function. The simulation results clarified the effect of the closeness coefficients for the disparity accuracy.