A modified semi-supervised color image segmentation method
Автор: Wei Hongru, Chai Fangyong
Журнал: International Journal of Wireless and Microwave Technologies(IJWMT) @ijwmt
Статья в выпуске: 4 Vol.2, 2012 года.
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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.
HMRF, semi-supervised, MeanShift, clustering, K-Means
Короткий адрес: https://sciup.org/15012822
IDR: 15012822
Список литературы A modified semi-supervised color image segmentation method
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