Edge detection and refinement for stereovision

摘要

Abstract: We present a new edge detection algorithm that is specially suited for stereopsis. We first define the quality criteria to be met and the properties required: structural stability, accurate localization, detailed representation, safe extraction, and fast computation. Then we describe the classic methods, explain their defects, and derive our algorithm. The main idea of this method is to use a nonlinear process that removes noise-induced edges, rather than filtering the image through a strong linear filter which would generally impair the edges and remove detail. For a given resolution and noise, our method provides a better result according to the stated criteria. Additionally, only three parameters have to be set and the behavior of this system is stable with respect to them. We think learning methods can be used to automatically compute such parameters. Finally, we show some experimental results with different types of images.!11