1 March 2002 Novel technique for multiresolution color image segmentation
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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.
© (2002) Society of Photo-Optical Instrumentation Engineers (SPIE)
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 . Submission:
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