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Issue No. 04 - July/August (2007 vol. 9)
ISSN: 1521-9615
pp: 32-38
Zhigeng Pan , Hangzhou Dianzi University
Jianfeng Lu , Hangzhou Dianzi University
A new Bayesian-analysis-based region-growing algorithm for medical image segmentation can robustly and effectively segment medical images. Specifically, the approach studies homogeneity criterion parameters in a local neighbor region. Using the multislices Gaussian and anisotropic filters as a preprocess helps reduce an image's noise.
image segmentation, Bayesian analysis, anisotropic diffusion, region growing

Z. Pan and J. Lu, "A Bayes-Based Region-Growing Algorithm for Medical Image Segmentation," in Computing in Science & Engineering, vol. 9, no. , pp. 32-38, 2007.
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