Feature Extraction From Range Imagery Using Mathematical Morphology

Abstract

This paper presents several experimental results of using the techniques of set and function and mathematical morphology (MM) for feature extraction from real and synthetic range imagery. More specifically, we consider the problem of extracting silhouetted appendages from real imagery with coarse range resolution and that of extracting appendages and corners from synthetic imagery with high range resolution.