A new technique for segmentation of range images

Abstract

This paper presents a new technique for the segmentation of range images. It tends to be a hybrid approach that tends to combine edge detection and region growing techniques toward accomplishing the task of segmentation. Multiple attribute maps were utilised to provide surface characteristics and smoothness information. The crossbreeding approach produces a segmentation map and an edge map. Edges detected by such method possessed good localisation property. The incorporation of the region growing process eliminates internal micro edges and produces a segmentation map. The edge and segmentation maps when conveyed to the higher level recognition process, may prove valuable for three-dimensional object identification purposes. >