| 基于改进型脉冲耦合神经网络的图像分割方法 |
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| 引用本文： | 徐学强,汪渤,于家城,苗常青.基于改进型脉冲耦合神经网络的图像分割方法[J].弹箭与制导学报,2006,26(1):126-128,131. |
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| 作者姓名： | 徐学强 汪渤 于家城 苗常青 |
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| 作者单位： | 1. 北京理工大学信息科学技术学院自动控制系,北京,100081
2. 中国空间技术研究院,北京,100094 |
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| 基金项目： | 国家部委预研项目（51405030104BQ0171） |
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| 摘 要： | 脉冲耦合神经网络（Pulse Coupled Neural Network，PCNN）具有良好的脉冲传播特性，在图像分割中得到了广泛应用。针对其需要人机交互通过实验确定其相关参数，实时性差等问题，改进了标准的PCNN模型，提出了一种基于改进型脉冲耦合神经网络的图像分割方法。仿真结果表明，该方法实时性好、自适应性强，分割出的目标轮廓清楚．细节更多。
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| 关 键 词： | 脉冲耦合神经网络 图像分割 图像熵 阈值 |
| 收稿时间： | 2005-08-18 |
| 修稿时间： | 2005-08-18 |
Image Segmentation Based on an Improved PCNN |
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| XU Xueqiang,WANG Bo,YU Jiacheng,MIAO Changqing.Image Segmentation Based on an Improved PCNN[J].Journal of Projectiles Rockets Missiles and Guidance,2006,26(1):126-128,131. |
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| Authors: | XU Xueqiang WANG Bo YU Jiacheng MIAO Changqing |
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| Affiliation: | 1. Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China;2. China Academy of Space Technology, Beijing 100094, China |
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| Abstract: | For its good property of pulse burst, Pulse Coupled Neural Network is widely used in image segmentation. For its problems when PCNN is used in image segmentation, such as, its parameter is decided by experiment and its real time ability is bad. The standard model of PCNN is improved and an approach for image segmentation based on improved PCNN is proposed. Experiment results show that the method is adaptive and its real time ability is good, target contour are clear and details are more. |
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| Keywords: | pulse coupled neural network image segmentation image entropy threshold |
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