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In order to accurately extract various color regions in a color image, a multi-color extraction method based on the semantic color is put forward in this paper. By introducing semantic color and establishing semantic color model, the method can rationally solve the color extraction problem. This method makes use of fuzzy clustering algorithm which distributes pixels of an image into each color area,...
Image segmentation is very essential and critical to image processing and pattern recognition. It is known that, color image segmentation approaches are based on monochrome segmentation approaches operating in different color spaces. So in this paper, an improved method which uses the FSVM (fuzzy support vector machines) algorithm for color image segmentation in the HSI (hue-saturation-intensity)...
As an extremely powerful probability model, Gaussian mixture model (GMM) has been widely used in the fields of pattern recognition, information processing and data mining. However, in many practical applications, the number of the components is unknown. In the case, model selection of GMM, i.e., the selection of the number of the components in the mixture, has been a rather difficult problem. Recently,...
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