Issue No. 04 - July/August (2007 vol. 9)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2007.67
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.