Open AccessA modified semi-supervised color image segmentation method
Author(s) -
Hongru Wei,
Fangyong Chai
Publication year - 2012
Publication title -
international journal of wireless and microwave technologies
Language(s) - English
Resource type - Journals
eISSN - 2076-9539
pISSN - 2076-1449
DOI - 10.5815/ijwmt.2012.04.09
Subject(s) - artificial intelligence , computer science , computer vision , image (mathematics) , segmentation , pattern recognition (psychology)
The paper proposed a modified color image segmentation method basing on semi-supervised hidden Markov random fields (HMRF) with constraints. Making use of MeanShift algorithm to get supervision information and, cluster number and initial values for cluster centroids, color images can be segmented effectively with the method in this paper by K-Means algorithm. The experimental results are very encouraging.
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