1 March 2002 Novel technique for multiresolution color image segmentation
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Optical Engineering, 41(3), (2002). doi:10.1117/1.1432315
Abstract
We describe a novel technique for color image segmentation. This technique includes three components: a color space transformation, Markov random field expectation-maximization (MRF-EM) segmentation, and a multiresolution implementation termed ‘‘narrow band.’’ The color space transformation, from RGB to LUV, contributes to a perceptually reasonable segmentation result. The MRF-EM algorithm enables unsupervised segmentation and enforces a region smoothness constraint. The narrow-band, multiresolution implementation confines fine resolution processing to a small fraction of the image, thereby achieving acceleration over traditional multiresolution schemes. Experimental results with medical and TV images demonstrate the efficacy of the proposed technique.
J. Gao, Jun Zhang, M. G. Fleming, "Novel technique for multiresolution color image segmentation," Optical Engineering 41(3), (1 March 2002). https://doi.org/10.1117/1.1432315
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