Optimum Thresholding for Medical Brain Images Based on Tsallis Entropy and Bayesian Estimation
Author:
Affiliation:
1. Shenzhen Institute of Advanced Technology Chinese Academy of Sciences,Guangdong Provincial Key Lab of Robotics and Intelligent System,Shenzhen,Guangdong Province,China
2. School of Business, Nanjing University,Nanjing,Jiangsu Province,China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9866947/9866899/09867064.pdf?arnumber=9867064
Reference20 articles.
1. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
2. Optimum image thresholding via class uncertainty and region homogeneity
3. Image thresholding using Tsallis entropy
4. Multilevel Image Thresholding Based on 2D Histogram and Maximum Tsallis Entropy— A Differential Evolution Approach
5. A generalized Masi entropy based efficient multilevel thresholding method for color image segmentation
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