| 脉冲耦合神经网络对肝包虫图像分割 |
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| 引用本文： | 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(北京), 2011, 29(36): 33-37. DOI: 10.3981/j.issn.1000-7857.2011.36.005 |
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| 作者姓名： | 田翔华 木拉提·哈米提 朱从旭 孔德伟 |
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| 作者单位： | 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 |
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| 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。
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| 关 键 词： | 脉冲耦合神经网络 图像分割 医学图像 肝包虫病 |
| 收稿时间： | 2011-08-23 |
Applications of Pulse-Coupled Neural Network in Image Segmentation for Liver Hydatid |
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| TIAN Xianghua,HAMIT Murat,ZHU Congxu,KONG Dewei. Applications of Pulse-Coupled Neural Network in Image Segmentation for Liver Hydatid[J]. Science & Technology Review, 2011, 29(36): 33-37. DOI: 10.3981/j.issn.1000-7857.2011.36.005 |
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| Authors: | TIAN Xianghua HAMIT Murat ZHU Congxu KONG Dewei |
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| Affiliation: | 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 |
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| 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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| Keywords: | PCNN image segmentation medical image liver hydatid disease |
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