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- W2136476704 abstract "We present a class of simple algorithms for color image segmentation based on the nearest neighbor (1-NN) decision rule. The feature vector for each pixel in the image is constructed from color components in HSI space. Since processing all pixels with 1-NN rule is time-consuming, we decided that only some crate pixels must be classified with 1-NN, while the others can then be labeled according to their spatial neighborhood containing pixels already classified, and only in relatively rare cases sent to a global 1-NN classifier. We test the accuracy and computational efficiency of the algorithms applied to medical image segmentation." @default.
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- W2136476704 date "2004-12-20" @default.
- W2136476704 modified "2023-09-23" @default.
- W2136476704 title "Nearest neighbor classifiers for color image segmentation" @default.
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