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A Markov Random Field description of fuzzy color segmentation
2010
2010 2nd International Conference on Image Processing Theory, Tools and Applications
Image segmentation is a fundamental task in many computer vision applications. In this paper, we describe a new unsupervised color image segmentation algorithm, which exploits the color characteristics of the image. The introduced system is based on a color quantization of the image in the Lab color space using the popular eleven culture colors in order to avoid the well known problem of oversegmentation. To partially overcome the problem of highlight and shadows in the image, which is one of
doi:10.1109/ipta.2010.5586796
dblp:conf/ipta/DAngeloD10
fatcat:pyzrjwimrvbk5a2o2o46y2jtoy