A Bayes-Based Region-Growing Algorithm for Medical Image Segmentation

Authors:
Zhigeng Pan;Jianfeng Lu
Affiliations:
Hangzhou Dianzi University;Hangzhou Dianzi University
Venue:
Computing in Science and Engineering
Year:
2007

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Abstract

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.