A comparative study of highlights detection and elimination by color morphology and polar color models

Authors:
Francisco Ortiz;Fernando Torres;Pablo Gil
Affiliations:
Automatics, Robotics and Computer Vision Group, Dept. Physics, Systems Engineering and Signal Theory, University of Alicante, Alicante, Spain;Automatics, Robotics and Computer Vision Group, Dept. Physics, Systems Engineering and Signal Theory, University of Alicante, Alicante, Spain;Automatics, Robotics and Computer Vision Group, Dept. Physics, Systems Engineering and Signal Theory, University of Alicante, Alicante, Spain
Venue:
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

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Abstract

In this paper, we present a comparative study ofdetection and elimination of highlights in real color images of any type of material. We use different polar color spaces for the automatic highlight detection (HLS, HSV and L1-norme). To eliminate the highlights detected, we use a new connected vectorial filter of color mathematical morphology which it operates exclusively on bright zones, reducing the high cost of processing of the connected filterand avoiding over-simplification. The new method proposed here achieves good results and it not requires costly multiple-view systems or stereo images.