Range-data-based object surface segmentation via edges and critical points

Author

Zhao, Dongming ; Zhang, Xintong

Author_Institution

Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA

Volume

6

Issue

6

fYear

1997

fDate

6/1/1997 12:00:00 AM

Firstpage

826

Lastpage

830

Abstract

A novel method for range image segmentation is presented in this paper. It is based on an integration of edge and region information. The algorithm consists of three steps: edge and critical point detection, triangulation, and region growing. Experimental results show that the method is efficient for segmentation of the range images that contain polyhedral objects. A three-dimensional (3-D) surface structure graph (SSG) obtained from the segmentation is a description of the surface structure about an object. Therefore, a segmentation result also presents a data set that can be used to establish a surface model for computer-aided-design-based (CAD-based) vision and object recognition

Keywords

edge detection; image segmentation; mathematical morphology; object recognition; 3D surface structure graph; CAD-based vision; critical point detection; edge detection; morphological residues; object recognition; object surface segmentation; polyhedral objects; range image segmentation; region grouping; region growing; triangulation; Computer vision; Engineering education; Image edge detection; Image segmentation; Information analysis; Intelligent systems; Joining processes; Object recognition; Surface morphology; Surface structures;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.585233

Filename

585233