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Highlight and shading invariant color image segmentation using simulated annealing

TitleHighlight and shading invariant color image segmentation using simulated annealing
Publication TypeConference Paper
Year of Publication2001
AuthorsFieguth, P., and S. Wesolkowski
Conference NameThird International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2001)
Conference LocationSophia Antipolis, France
Abstract

Color constancy in color image segmentation is an important research issue. In this paper we develop a framework, based on the Dichromatic Reflection Model for asserting the color highlight and shading invariance, and based on a Markov Random Field approach for segmentation. A given RGB image is transformed into a R'G'B' space to remove any highlight components, and only the vector-angle component, representing color hue but not intensity, is preserved to remove shading effects. Due to the arbitrariness of vector angles for low R'G'B' values, we perform a Monte-Carlo sensitivity analysis to determine pixel-dependent weights for the MRF segmentation. Results are presented and analyzed.