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Proceedings Paper

Shading- and highlight-invariant color image segmentation using the MPC algorithm
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Paper Abstract

Anew 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 form each RGB coordinate. This transformation mitigates the effects of highlights. Next, the Mixture of Principal Components algorithm is used to perform the segmentation. The MPC is implicitly invariant to shading due to the inner vector product or vector angle being used as similarity measure. Since the new coordinate system contains negative numbers, it is necessary to modify the MPC algorithm since in its original form it does not distinguish between positive and negative color space coordinates. Results on artificial and real images illustrate the effectiveness of the method. Finally, the use of the total within-cluster variance is investigated as possible criterion for selecting the number of clusters for the new algorithm.

Paper Details

Date Published: 21 December 2000
PDF: 12 pages
Proc. SPIE 4300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI, (21 December 2000); doi: 10.1117/12.410795
Show Author Affiliations
Slawo Wesolkowski, Univ. of Guelph (Canada)
Shoji Tominaga, Osaka Electro-Communication Univ. (Japan)
Robert D. Dony, Univ. of Guelph (Canada)


Published in SPIE Proceedings Vol. 4300:
Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI
Reiner Eschbach; Gabriel G. Marcu, Editor(s)

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