研究论文

脉冲耦合神经网络对肝包虫图像分割

  • 田翔华;木拉提·哈米提;朱从旭;孔德伟
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  • 1. 新疆医科大学医学工程技术学院,乌鲁木齐 830011;2. 中南大学信息科学与工程学院,长沙 410083;3. 新疆医科大学第一附属医院放射科,乌鲁木齐 830054

收稿日期: 2011-08-23

  修回日期: 2011-11-25

  网络出版日期: 2011-12-28

Applications of Pulse-Coupled Neural Network in Image Segmentation for Liver Hydatid

  • TIAN Xianghua;HAMIT Murat;ZHU Congxu;KONG Dewei
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  • 1. College of Medical Engineer Technology, Xinjiang Medical University, Urumqi 830011, China;2. School of Information Science & Engineering, Central South University, Changsha 410083, China;3. Department of Radiology, The First Affiliated Hospital, Xinjiang Medical University, Urumqi 830054, China

Received date: 2011-08-23

  Revised date: 2011-11-25

  Online published: 2011-12-28

摘要

在应用脉冲耦合神经网络模型分割图像的研究中,确定模型的参数是一个难点问题,其中连接系数β在脉冲耦合神经网络中起着重要的作用。本文使用最小交叉熵D(P, Q; t )和标准差,简化了脉冲耦合神经网络模型的连接系数β的估计公式,该方法可以自动确定并简化脉冲耦合神经网络模型的连接系数β。实验结果表明,该方法对肝包虫医学图像的分割效果显著,能获得较好的视觉结果并具有较强的普适性。

本文引用格式

田翔华;木拉提·哈米提;朱从旭;孔德伟 . 脉冲耦合神经网络对肝包虫图像分割[J]. 科技导报, 2011 , 29(36) : 33 -37 . DOI: 10.3981/j.issn.1000-7857.2011.36.005

Abstract

In the application of pulse-coupled neural network(PCNN),it is difficult to set the parameter of pulse-coupled neural network. In the pulse-coupled neural network model, the linking coefficient β plays an important role. According to the relative entropy D(P, Q: t) and standard deviation, educe an estimate formula that to set the linking coefficient β automatically in the simplified pulse-coupled neural network model. Experimental results show that the algorithm gets a better visual effect when dealing liver hydatid disease image,showing great adaptability.
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