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- W2110945757 abstract "A novel color texture-based segmentation algorithm is proposed. Many powerful color segmentation algorithms such as JSEG (J-SEGmentation) suffer from over segmentation. An improved JSEG method called improved contrast JSEG (IC-JSEG) is developed to construct the contrast map to obtain the basic contours of the homogeneous regions in the image. A two serial type-based filtering and a noise-protected edge detector are adopted to remove the noise and enhance the edge strength to provide a better contrast map. Based on the combination of improved contrast map and the original J map in JSEG, seed growing-merging method is used to segment the image. Experiments on both natural color-texture images and color medical images show promising results" @default.
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- W2110945757 date "2007-04-01" @default.
- W2110945757 modified "2023-10-18" @default.
- W2110945757 title "Color-Texture Segmentation of Medical Images Based on Local Contrast Information" @default.
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- W2110945757 doi "https://doi.org/10.1109/cibcb.2007.4221260" @default.
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