A contour-based part segmentation algorithm

Author

Bennamoun, Mohammed

Author_Institution

Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia

Volume

v

fYear

1994

fDate

19-22 Apr 1994

Abstract

Within the framework of a suggested vision system, a new part segmentation algorithm based on the contour of an object, assumed to be obtained from an edge detector is presented. A new approach is presented to extract the convex dominant points (CDPs) of the contour which are used to decompose the object into convex parts. Among all the points of the contour only the CDPs are moved along their normal until they touch another moving CDP or a point on the contour. The algorithm has been tested on many contours of objects with and without noise. The results are compared to other techniques based on a graph theoretic approach. The results appear to give a closer decomposition to the one performed by humans

Keywords

computer vision; edge detection; image segmentation; contour-based part segmentation algorithm; convex dominant points; decomposition; edge detector; graph theoretic approach; vision system; Australia; Computer vision; Detectors; Image edge detection; Machine vision; Object detection; Object recognition; Shape; Signal processing algorithms; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389516

Filename

389516