@inproceedings {530,
	title = {Highlight and shading invariant color image segmentation using simulated annealing},
	booktitle = {Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2001)},
	year = {2001},
	address = {Sophia Antipolis, France},
	abstract = {<p>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\&$\#$39;G\&$\#$39;B\&$\#$39; space to remove any highlight components, and only the vector-angle component, representing color hue but not intensity, is preserved to remove shading effects. Due to the arbitrariness of vector angles for low R\&$\#$39;G\&$\#$39;B\&$\#$39; values, we perform a Monte-Carlo sensitivity analysis to determine pixel-dependent weights for the MRF segmentation. Results are presented and analyzed.</p>
},
	author = {P Fieguth and S Wesolkowski}
}
