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A Bayes-Based Region-Growing Algorithm for Medical Image Segmentation
July/August 2007 (vol. 9 no. 4)
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.
Index Terms:
image segmentation, Bayesian analysis, anisotropic diffusion, region growing
Citation:
Zhigeng Pan, Jianfeng Lu, "A Bayes-Based Region-Growing Algorithm for Medical Image Segmentation," Computing in Science and Engineering, vol. 9, no. 4, pp. 32-38, July-Aug. 2007, doi:10.1109/MCSE.2007.67
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