Integrating Structural Symmetry and Local Homoplasy Information in Intuitionistic Fuzzy Clustering for Infrared Pedestrian Segmentation
IEEE Transactions on Systems, Man, and Cybernetics: Systems(2021)
摘要
Interferential background, boundary uncertainty, and noises are usually involved in infrared pedestrian imaging, which erect barrier for accurate segmentation. To counter the conundrum rising in these cases, we present a novel intuitionistic fuzzy clustering-based segmentation method, which integrates structural symmetry and local homoplasy information, for precise infrared pedestrian segmentation...
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关键词
Image segmentation,Uncertainty,Clustering methods,Fuzzy sets,Nonhomogeneous media,Generators,Mirrors
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