Molka Dhieb

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Thresholding is one of the popular and fundamental techniques for conducting image segmentation. It is a widely used tool in image segmentation for extracting the object regions from their background. In this paper, image segmentation method based on two-dimensional histogram analysis through entropy maximization is presented. The 2-D maximum entropy(More)
Thresholding is a popular image segmentation method that converts gray-level image into binary image. The problem of thresholding has been quite extensively studied for many years in order to get an optimum threshold value. The multi-level thresholding becomes very computationally challenges. In this paper, a novel multilevel thresholding method based on(More)
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