| 基于改进的脉冲耦合神经网络模型的图像分割 |
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| 引用本文： | 杨娜,陈后金,李艳凤,郝晓莉,姚畅. 基于改进的脉冲耦合神经网络模型的图像分割[J]. 吉林大学学报(工学版), 2013, 43(3): 758-763 |
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| 作者姓名： | 杨娜 陈后金 李艳凤 郝晓莉 姚畅 |
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| 作者单位： | 1. 北京交通大学电子信息工程学院,北京100044;中北大学信息与通信工程学院,太原030051
2. 北京交通大学电子信息工程学院,北京,100044 |
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| 基金项目： | 高等学校博士学科点专项科研基金项目，中央高校基本科研业务费专项项目，国家自然科学基金项目 |
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| 摘 要： | 提出了一种改进的脉冲耦合神经网络(Receptive field-pulse coupled neural net-works,RF-PCNN)模型。通过感受野模型对连接矩阵的优化,使脉冲耦合神经网络(Pulsecoupled neural networks,PCNN)模型具有了方向性和尺度性,能够更好地模拟视觉细胞图像分割的功能。试验结果表明:RF-PCNN模型对自然环境中车辆图像分割的有效性,分割结果具有较高的边界检出率,较好地解决了图像分割中车牌区域存在的欠分割和过分割问题。
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| 关 键 词： | 信息处理技术 图像分割 脉冲耦合神经网络 感受野 |
Algorithm of image segmentation based on the improved pulse coupled neural network model |
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| YANG Na,CHEN Hou-jin,LI Yan-feng,HAO Xiao-li,YAO Chang. Algorithm of image segmentation based on the improved pulse coupled neural network model[J]. Journal of Jilin University:Eng and Technol Ed, 2013, 43(3): 758-763 |
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| Authors: | YANG Na CHEN Hou-jin LI Yan-feng HAO Xiao-li YAO Chang |
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| Affiliation: | 1(1.School of Electronic Information Engineering,Beijing Jiaotong University,Beijing 100044,China;2.School of Information and Communication Engineering,North University of China,Taiyuan 030051,China) |
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| Abstract: | An improved Pulse Coupled Neural Network(PCNN) model was proposed,where the linking matrix was optimized with Receptive Field(RF) model.The PCNN model possesses both directionality and scales,and can simulate the segmentation function of visual cells more efficiently.Experimental results demonstrate the effectiveness of the RF-PCNN model in segmenting vehicle images and segmentation results have high boundary detection rate.The problems of under-segmentation and over-segmentation in vehicle plate region are well solved. |
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| Keywords: | information processing image segmentation pulse coupled neural networks(PCNN) receptive field |
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