Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation

IEEE Transactions on Fuzzy Systems(2022)

引用 11|浏览17
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摘要
Segmentationof MRI imagesin the presence of artifacts such as noise and bias field effect (BFE) is challenging. In this article, to handle both artifacts, we have formulated an intuitionistic fuzzy set (IFS) theory based bias-corrected intuitionistic fuzzy c-means with spatial neighborhood information (SNI) method for magnetic resonance imaging (MRI) image segmentation. We represent the image in t...
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关键词
Image segmentation,Magnetic resonance imaging,Fuzzy sets,Uncertainty,Smoothing methods,Optimization,Fuzzy set theory
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