Image Segmentation Based on Bethe Approximation for Gaussian Mixture Model
نویسندگان
چکیده
منابع مشابه
Image Segmentation Based on Bethe Approximation for Gaussian Mixture Model
We propose an image segmentation algorithm under an expectation-maximum scheme using a Bethe approximation. In the stochastic image processing, the image data is usually modeled in terms of Markov random fields, which can be characterized by a Gibbs distribution. The Bethe approximation, which takes account of nearest-neighbor correlations, provides us with a better approximation to the Gibbs f...
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ژورنال
عنوان ژورنال: Interdisciplinary Information Sciences
سال: 2005
ISSN: 1347-6157,1340-9050
DOI: 10.4036/iis.2005.17