| 一种基于改进的PCNN的视网膜血管树提取方法 |
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| 引用本文： | 姚畅,陈后金,荆涛,郝晓莉,李志林,杨娜.一种基于改进的PCNN的视网膜血管树提取方法[J].光电子．激光,2011(11):1745-1750. |
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| 作者姓名： | 姚畅 陈后金 荆涛 郝晓莉 李志林 杨娜 |
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| 作者单位： | 北京交通大学电子信息工程学院; |
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| 基金项目： | 国家自然科学基金资助项目(60872081,60972093); 北京市自然科学基金资助项目(4092034); 中央高校基本科研业务费专项资金资助项目(2011JBM003); 中国博士后科学基金资助项目(20110490286) |
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| 摘 要： | 根据脉冲耦合神经网络（PCNN）动态点火特性和视网膜血管网络区域结构特征，提出了一种基于改进型PCNN（IPCNN）的视网膜血管树提取方法。该方法对二维高斯匹配滤波预处理增强后的眼底图像运用IPCNN分割出增强图像的血管网络，然后对分割得到的血管网络结合区域连通性特征，采用长度滤波算子滤除噪声，提取出最终的血管树。通过...
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| 关 键 词： | 图像分割 脉冲耦合神经网络(PCNN) 长度滤波 视网膜血管 |
Extraction of blood vessel tree in retinal image based on improved PCNN |
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| YAO Chang,CHEN Hou-jin,JING Tao,HAO Xiao-li,LI Zhi-lin and YANG Na.Extraction of blood vessel tree in retinal image based on improved PCNN[J].Journal of Optoelectronics·laser,2011(11):1745-1750. |
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| Authors: | YAO Chang CHEN Hou-jin JING Tao HAO Xiao-li LI Zhi-lin and YANG Na |
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| Institution: | YAO Chang,CHEN Hou-jin,JING Tao,HAO Xiao-li,LI Zhi-lin,YANG Na(School of Electronics and Information Engineering,Beijing Jiaotong University,Beijing 100044,China) |
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| Abstract: | According to the characteristics of dynamic firing of pulse coupled neural network(PCNN) and the regional configuration of retinal blood vessel network,a new blood vessel tree extraction method based on improved PCNN(IPCNN) is proposed.Firstly,the two-dimensional Gaussian matched filter is used to enhance the retinal image.Then the blood vessel network is segmented by IPCNN.Finally,the vessel tree is obtained via analyzing the region connectivity and using the length filtering.The experiments implemented on... |
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| Keywords: | image segmentation pulse coupled neural network(PCNN) length filtering retinal blood vessel |
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