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The segmentation of images into different meaningful classes is an important task for automatic image analysis technique. The finite Gaussian mixture model is one of the popular models for parametric model based image segmentation. However, the normality assumption of this model induces certain limitations as a single representative value is considered to represent each class. In this regard, the...
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