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- W2353139475 abstract "Due to the problems of infrared image segmentation using fuzzy kernel clustering, an improved method for infrared image segmentation was proposed. Firstly, the membership and spatial constrained were introduced. The outliers were suppressed. Then the degree of self- recognition for pixel to categories and repulsive metrics for categories to pixel were defined. And the membership functions were revised using them. The rationality of classification was judged. The precision of classification was improved. The target area and background region could be segmented better. The integrity and precision of target were preserve. The experimental results show the infrared image can be segment well by the proposed method using compared with the conventional method. The obstruction to targets recognition by background pixel and outliers was prevented." @default.
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- W2353139475 date "2008-01-01" @default.
- W2353139475 modified "2023-09-25" @default.
- W2353139475 title "An Improved Infrared Image Segmentation Algorithm Using Fuzzy Kernel Clustering" @default.
- W2353139475 hasPublicationYear "2008" @default.
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