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Based on the properties of ergodicity, stochastic property and regularity of chaos, the chaos optimization method can get global solution with low computational load. So a novel optimal multilevel thresholding method based on the improved chaos optimization algorithm (COA) for image segmentation is presented in this paper. Firstly, an improved COA is described; Instead of the traditional chaos optimization...
The two-dimensional (2-D) maximum Tsallis entropy method takes advantage of the spatial neighbor information with using the 2-D histogram of the image and has a controllable parameter, so it often gets ideal segmentation results even when the image signal noise ratio (SNR) is low. However, its time-consuming computation is often an obstacle in real time application systems. In this paper, a fast image...
In this paper, a thresholding technique based on two-dimensional inter-class cross entropy and chaos optimization algorithm (COA) is presented. Firstly, adopt the cross entropy approach to describe the difference in pixel information between the object and the background in a two-dimensional histogram and to use maximum inter-class separation degree. Then apply improved COA to get the threshold value,...
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