Novel technique for multiresolution color image segmentation

J. Gao; Jun Zhang; M. G. Fleming

doi:10.1117/1.1432315

1 March 2002 Novel technique for multiresolution color image segmentation

J. Gao, Jun Zhang, M. G. Fleming

Optical Engineering, Vol. 41, Issue 3, (March 2002). https://doi.org/10.1117/1.1432315

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)

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J. Gao, Jun Zhang, and M. G. Fleming "Novel technique for multiresolution color image segmentation," Optical Engineering 41(3), (1 March 2002). https://doi.org/10.1117/1.1432315

Published: 1 March 2002

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