Soft Image Segmentation Based on the Mixture of Gaussians and the Phase-Transition Theory

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ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org

"Soft Image Segmentation Based on the Mixture of Gaussians and the Phase-Transition Theory"
written by Celia A. Z. Barcelos, Yunmei Chen, Fuhua Chen,
published by Applied Mathematics, Vol.5 No.18, 2014

has been cited by the following article(s):

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[2]	Physics based modeling for the development of soft segmentation and reconstruction algorithms
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[3]	Studies on Image Segmentation Integrating Generalized Laplace Mixture Model and Hierarchical Clusterin
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[4]	Studies on Image Segmentation Integrating Generalized Laplace Mixture Model and Hierarchichal Clustering
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