Share Email Print

Proceedings Paper

Color image segmentation using vector angle-based region growing
Author(s): Slawo Wesolkowski; Paul W. Fieguth
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A new region growing color image segmentation algorithm is presented in this paper. This algorithm is invariant to highlights and shading. This is accomplished in two steps. First, the average pixel intensity is removed from each RGB coordinate. This transformation mitigates the effects of highlights. Next, region seeds are obtained using the Mixture of Principal Components algorithm. Each region is characterized using two parameters. The first is the distance between the region prototype and the candidate pixel. The second is the distance between the candidate pixel and its nearest neighbor in the region. The inner vector product or vector angle is used as the similarity measure which makes both of these measures shading invariant. Results on a real image illustrate the effectiveness of the method.

Paper Details

Date Published: 6 June 2002
PDF: 4 pages
Proc. SPIE 4421, 9th Congress of the International Colour Association, (6 June 2002); doi: 10.1117/12.464654
Show Author Affiliations
Slawo Wesolkowski, Univ. of Waterloo (Canada)
Paul W. Fieguth, Univ. of Waterloo (Canada)

Published in SPIE Proceedings Vol. 4421:
9th Congress of the International Colour Association
Robert Chung; Allan Rodrigues, Editor(s)

© SPIE. Terms of Use
Back to Top