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The Chan-Vese level-set model reported by Chan-Vese for image segmentation has extensive applications in many fields, but also has some disadvantages such as the weak anti-noise. In this paper, a novel level-set model based on the parzen-window is presented. The evolution of the active contour in our level-set model neither depends on the gradient of the image nor the averages inside and outside the...
Image segmentation is an important problem of digital image processing and also a common difficult problem. In this paper, a new image thresholding method based on parzen-window estimation and Renyi entropy is proposed. The method used Parzen-window technology to estimate the spatial probability distribution of image gray level values, then combined with the Renyi entropy to construct a new criterion...
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