New improvements to range image segmentation by edge detection

This article presents new improvements to range image segmentation based on edge detection techniques. The developed approach better preserves the object´s topology and shape even to noisy images. The algorithm also does not depend on rigid threshold values, thus being useful in unsupervised systems. Experiments were performed in a popular range image database and the results were compared to four other traditional range image segmentation algorithms, demonstrating the efficiency of the proposed algorithm.