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- W2347286808 abstract "For the uncertainty and the fuzziness of the organizational structure of human brain,an image segmentation algorithm that combines the clustering based on fuzzy Gibbs random field and the two-dimensional histogram method was proposed.In the algorithm,membership functions were defined by average,variance and neighborhood attributes,and fuzzy Gibbs random field was set up.Then Maximum A Posteriori (MAP) was used as the statistical clustering criteria,in which the fuzzy Gibbs random field was used to obtain prior knowledge,and every class center was updated by the centroid of the fuzzy class.Finally,every class center was introduced into two-dimensional histogram method to find segmentation points in each class region for image segmentation.The experimental results show that the proposed algorithm can separate out the various brain tissues accurately,and it is better than Fuzzy C-Means (FCM) algorithm in the noise robustness,the result accuracy and smoothness./" @default.
- W2347286808 created "2016-06-24" @default.
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- W2347286808 date "2010-01-01" @default.
- W2347286808 modified "2023-09-22" @default.
- W2347286808 title "Clustering based on fuzzy Gibbs random field and 2D histogram algorithm for MR image segmentation" @default.
- W2347286808 hasPublicationYear "2010" @default.
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