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In view of the speckle noise in the SAR images, utilizing the Contourlet's advantages of multiscale, localization, directionality and anisotropy, a new SAR image fusion segmentation algorithm based on the persistence and clustering in the Contourlet domain is proposed in this paper. The algorithm captures the persistence and clustering of the Contourlet transform, which is modeled by HMT and MRF,...
Traditional fuzzy Hopfield neural network (FHNN) is one of the excellent segmentation methods for CT image. Although FHNN has the capacity of searching values with high precision, it has obvious disadvantages, such as local minimum and slow convergence. In order to make up these shortcomings and find the right global minimum, a FHNN Algorithm based on genetic approach is proposed. Fine segmentation...
An improved efficient fractal algorithm, based on higher-order statistics (HOS), is presented for infrared (IR) small target detection under complex background of a single image. This algorithm is divided into two parts: coarse location and fine location. It firstly uses higher-order statistics to locate the target coarsely, and then a region of interest (ROI) containing the infrared small target...
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