| 一种基于简化PCNN的红外图像分割方法 |
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| 引用本文： | 陈兴杰,柴晓冬. 一种基于简化PCNN的红外图像分割方法[J]. 安徽大学学报(自然科学版), 2010, 34(1) |
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| 作者姓名： | 陈兴杰 柴晓冬 |
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| 作者单位： | 上海工程技术大学,城市轨道交通学院,上海,201620 |
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| 基金项目： | 上海市高校选拔培养优秀青年教师科研专项基金资助项目(06XPYQ35);;上海市教育委员会重点学科建设基金资助项目(J51401) |
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| 摘 要： | 提出一种基于简化脉冲耦合神经网络(Pulse Coupled Neural Network,PCNN)的红外图像分割新方法.针对红外航拍图像所具有的噪声大、灰度范围较窄以及具有对比度反转现象等特征,从原始图像与分割图像的相似性出发,采用最大互相关匹配来确定PCNN的最优参数,最终完成图像分割.实验结果验证了该方法的有效性.
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| 关 键 词： | 红外图像分割 脉冲耦合神经网络 互相关匹配 |
Infrared image segmentation based on a simplified PCNN |
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| CHEN Xin-jie,CHAI Xiao-dong. Infrared image segmentation based on a simplified PCNN[J]. Journal of Anhui University(Natural Sciences), 2010, 34(1) |
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| Authors: | CHEN Xin-jie CHAI Xiao-dong |
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| Affiliation: | College of Urban Railway Transportation;Shanghai University of Engineering Science;Shanghai 201620;China |
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| Abstract: | A novel infrared image segmentation method based on simplified coupled neural network(PCNN) was proposed.In view of the characteristics of big noise,narrow gray-scale range and contrast inversion phenomenon of infrared aerial image,the maximum cross correlation matching based on the similarity between original images and segmentation images was used to determine the parameters of PCNN.The experimental results showed the efficiency of the method. |
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| Keywords: | infrared image segmentation pulse coupled neural network cross correlation matching |
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