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

Slawo Wesolkowski; Shoji Tominaga; Robert D. Dony

doi:10.1117/12.410795

21 December 2000 Shading- and highlight-invariant color image segmentation using the MPC algorithm

Slawo Wesolkowski, Shoji Tominaga, Robert D. Dony

Proceedings Volume 4300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI; (2000) https://doi.org/10.1117/12.410795
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

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.

Citation Download Citation

Slawo Wesolkowski, Shoji Tominaga, and Robert D. Dony "Shading- and highlight-invariant color image segmentation using the MPC algorithm", Proc. SPIE 4300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI, (21 December 2000); https://doi.org/10.1117/12.410795

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