With the development of embedded systems, the requirement of hardware-based image processing grows rapidly. Embedded systems have a flexible feature in cutting hardware and software. And hardware implementation possesses the advantages of high-speed and real-time. It is possible that image processing algorithms are implemented in hardware, because FPGA has flexible programmable, reconfigurable performance, high integration
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With the development of embedded systems, the requirement of hardware-based image processing grows rapidly. Embedded systems have a flexible feature in cutting hardware and software. And hardware implementation possesses the advantages of high-speed and real-time. It is possible that image processing algorithms are implemented in hardware, because FPGA has flexible programmable, reconfigurable performance, high integration
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Cognitive radio (CR) is the key technology which can solve the problems of low utilization of the spectrum band and shortage of spectrum resource. In a licensed band, the main issue is the protection of the primary user, this means that the primary task in any CR network is to dynamically explore the spectrum holes
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During the process of image acquisition, transmission, and storage, lots of noise are inevitably produced due to the influence of environmental factors, for example, the defects of imaging systems, transmission medium, and storage devices, etc. Most of these noises are Visible to human eyes and they exert great influences on the effect and accuracy of
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Recently,a segmentation methods based on level set have attracted more and moreattentions. Compared to traditional image segmentation approaches, the method havemany prominent virtues: such as insensitivity to the initial curve position, the strongability to deal with the topological changes etc.First of all, the paper summarizes the purpose and significance of image segmentation,introduce and analyze Mumford-Shah
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Recently,a segmentation methods based on level set have attracted more and moreattentions. Compared to traditional image segmentation approaches, the method havemany prominent virtues: such as insensitivity to the initial curve position, the strongability to deal with the topological changes etc.First of all, the paper summarizes the purpose and significance of image segmentation,introduce and analyze Mumford-Shah
(Read More…)
Recently,a segmentation methods based on level set have attracted more and moreattentions. Compared to traditional image segmentation approaches, the method havemany prominent virtues: such as insensitivity to the initial curve position, the strongability to deal with the topological changes etc.First of all, the paper summarizes the purpose and significance of image segmentation,introduce and analyze Mumford-Shah
(Read More…)
Recently,a segmentation methods based on level set have attracted more and moreattentions. Compared to traditional image segmentation approaches, the method havemany prominent virtues: such as insensitivity to the initial curve position, the strongability to deal with the topological changes etc.First of all, the paper summarizes the purpose and significance of image segmentation,introduce and analyze Mumford-Shah
(Read More…)
Recently,a segmentation methods based on level set have attracted more and moreattentions. Compared to traditional image segmentation approaches, the method havemany prominent virtues: such as insensitivity to the initial curve position, the strongability to deal with the topological changes etc.First of all, the paper summarizes the purpose and significance of image segmentation,introduce and analyze Mumford-Shah
(Read More…)
Recently,a segmentation methods based on level set have attracted more and moreattentions. Compared to traditional image segmentation approaches, the method havemany prominent virtues: such as insensitivity to the initial curve position, the strongability to deal with the topological changes etc.First of all, the paper summarizes the purpose and significance of image segmentation,introduce and analyze Mumford-Shah
(Read More…)
