2 research outputs found

    MEAN SHIFT SPECTRAL CLUSTERING FOR PERCEPTUAL IMAGE SEGMENTATION

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    ABSTRACT Segmentation is a fundamental problem in image processing having a wide range of applications. Image segmentation algorithms in the literature range from a cost criterion based optimization techniques to various heuristic methods. In this paper, we propose utilizing mean shift spectral clustering for perceptually better image segmentation results
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