文件名称:tuxiangfengeyuronghe
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对PENN工作机理的分析,对原始模型进行了改进,
利用改进后的PENN进行图像分割,并提出了一种图像分割终止准则;针对PENN
网络参数对图像分割的影响,设计了参数能够根据图像进行自适应调整的图像分
割系统,该系统是一个建立在机器视觉基础上的自适应闭合系统,实验表明这种
方法是可行的。-Analysis of the PENN working mechanism, the original model, improved PENN image segmentation, and termination criterion of an image segmentation designed for the PENN network parameters of image segmentation parameters can be carried out according to the image adaptive adjustment of the image segmentation system, the system is a the adaptive closed system built on the basis of the machine vision, the experiments show that this approach is feasible.
利用改进后的PENN进行图像分割,并提出了一种图像分割终止准则;针对PENN
网络参数对图像分割的影响,设计了参数能够根据图像进行自适应调整的图像分
割系统,该系统是一个建立在机器视觉基础上的自适应闭合系统,实验表明这种
方法是可行的。-Analysis of the PENN working mechanism, the original model, improved PENN image segmentation, and termination criterion of an image segmentation designed for the PENN network parameters of image segmentation parameters can be carried out according to the image adaptive adjustment of the image segmentation system, the system is a the adaptive closed system built on the basis of the machine vision, the experiments show that this approach is feasible.
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基于脉冲耦合神经网络的图像分割与融合研究.pdf
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