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The Otsu’s method has been proven as an efficient method in image segmentation for bi-level thresholding. However, this method is computationally intensive when extended to multi-level thresholding. In this paper, we present a hybrid optimization scheme for multiple thresholding by the criteria of (1) Otsu’s minimum within-group variance and (2) Gaussian function fitting. Four example images are used...
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