@inproceedings {597,
	title = {A Markov random fields model for hybrid edge and region based colour image segmentation},
	booktitle = {15th Canadian Conference on Electrical and Computer Engineering},
	year = {2002},
	abstract = {<p>A framework based on a Markov random field approach for color image segmentation enhanced by edge detection is presented. We use a previously developed methodology to transform the image into an R\&$\#$39;G\&$\#$39;B\&$\#$39; space to remove any highlight components preserving the vector-angle component, representing color hue but not intensity, to remove shading effects. To improve the segmentation process we describe the idea of a line process. This allows for the integration of region segmentation with edge detection in a Markov random field framework. We discuss the advantages of this new model with respect to the previously developed image segmentation model.</p>
},
	keywords = {color hue, color theory, dichromatic reflection model, edge detection, highlight components removal, hybrid edge-based color image segmentation, image colour analysis, image segmentation, line process, Markov processes, Markov random fields model, random processes, region segmentation, region-based color image segmentation, RGB space, shading effects removal, vector-angle component},
	doi = {http://dx.doi.org/10.1109/CCECE.2002.1013070},
	author = {S Wesolkowski and P Fieguth}
}
