| 一种基于PCNN的参数自适应图像分割方法 |
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| 引用本文： | 汤灿明,张欣,杨贝贝,贺建婷.一种基于PCNN的参数自适应图像分割方法[J].贵州大学学报(自然科学版),2013(6):96-99. |
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| 作者姓名： | 汤灿明 张欣 杨贝贝 贺建婷 |
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| 作者单位： | 贵州大学计算机科学与信息学院,贵州贵阳550025 |
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| 基金项目： | 国家自然科学基金项目资助（11204046）;贵州省科技厅工业攻关项目资助（黔科合GY字[2010]3056） |
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| 摘 要： | 针对在基于脉冲耦合神经网络（PCNN）模型的图像分割中，如何确定合适的网络参数的问题，提出一种基于PCNN的参数自适应图像分割方法。该方法通过设定神经元合适的捕获范围和连接值，综合利用图像像素邻域的灰度信息，结合PCNN网络参数间的相互联系，实现对模型参数自动确定。仿真实验表明，该方法可有效地对不同图像进行自适应分割。与传统的PCNN图像分割方法相比具有一定的优越性。
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| 关 键 词： | 参数确定 自适应 图像分割 脉冲耦合神经网络 类间方差 |
Adaptive Parameter Determination Method Based on PCNN Implemented on Image Segmentation |
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| TANG Can-ming,ZHAGN Xin,YANG Bei-bei,HE Jian-ting.Adaptive Parameter Determination Method Based on PCNN Implemented on Image Segmentation[J].Journal of Guizhou University(Natural Science),2013(6):96-99. |
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| Authors: | TANG Can-ming ZHAGN Xin YANG Bei-bei HE Jian-ting |
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| Institution: | (College of Computer Science ＆ Information,Guizhou University, Guiyang 550025 ,China) |
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| Abstract: | Concerning how to determine the near optimal parameters of the pulse coupled neural network （PC- NN） implemented on image segmentation, a method of adaptive parameter determination based on PCNN was pro- posed. The method achieves to automatically determine the model parameters by setting the appropriate acquisition range and connection values of neurons, and using the gray level information of image pixel＇s neighborhood and the relationships between network parameters of PCNN. The simulation results show that compared with the traditional image segmentation method based on PCNN, the method is implemented on adaptive image segmenta- tion effectively, which has its own advantages. |
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| Keywords: | parameter determination adaptive image segmentation pulse coupled neural network between-clus- ter variance |
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