Region-Based Top-Down Segmentation Adapted to Stereo Matching

Abstract

We present region based image processing algorithms participating in task sequencing for stereo vision. The algorithms described here are prior to stereo matching. Requirements in image similarity provide helpful additional knowledge for their improvement. We describe first a resursive region division algorithm using a thresholding method based on contrast maximization. The regions are processed in parallel and absorb their noise before being thresholded. Subsequent morphological processes improve similarity and matching results. Additional knowledge is produced by analytical processes, and is useful for both segmentation and match control. Results are presented for a stereo pair of gray level images, see figure 1. 1 Introduction The main tasks contributing to 3-D reconstruction of a scene are : segmentation of a stereo pair of images, stereo matching and depth computation. The success of each job depends on the results of the previous one. The basic tenet of our study is that, althou..