| 基于参数自适应脉冲耦合神经网络的黄瓜目标分割 |
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| 引用本文： | 王海青,姬长英,顾宝兴,田光兆.基于参数自适应脉冲耦合神经网络的黄瓜目标分割[J].农业机械学报,2013,44(3):204-208. |
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| 作者姓名： | 王海青 姬长英 顾宝兴 田光兆 |
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| 作者单位： | 南京农业大学工学院,南京,210031 |
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| 基金项目： | 国家高技术研究发展计划(863计划)资助项目(2006AA10Z259);中央高校基本科研业务费自主创新资助项目(KYZ201006);南京农业大学青年科技创新基金资助项目(KJ09030) |
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| 摘 要： | 对脉冲耦合神经网络的参数进行简化,并自适应确定各参数,将图像的空间信息和灰度信息耦合到加权耦合连接系数中,进行温室黄瓜图像分割,采用二维Tsallis熵选择最佳迭代结果.试验结果表明:用区域对比度(GC)和区域一致性(UC)评价方法评价,该方法的分割效果好于采用香农熵和最小交叉熵终止迭代的标准脉冲耦合神经网络分割效果.
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| 关 键 词： | 黄瓜 机器视觉 图像分割 参数自适应 脉冲耦合神经网络 加权耦合连接系数 |
Cucumber Image Segmentation Based on Weighted Connection Coefficient Pulse Coupled Neural Network |
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| Wang Haiqing,Ji Changying,Gu Baoxing and Tian Guangzhao.Cucumber Image Segmentation Based on Weighted Connection Coefficient Pulse Coupled Neural Network[J].Transactions of the Chinese Society of Agricultural Machinery,2013,44(3):204-208. |
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| Authors: | Wang Haiqing Ji Changying Gu Baoxing and Tian Guangzhao |
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| Institution: | Nanjing Agricultural University;Nanjing Agricultural University;Nanjing Agricultural University;Nanjing Agricultural University |
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| Abstract: | Parameters of pulse coupled neural network(PCNN) were simplified and adaptive to determine. Spatial information and gray information of image were coupled to the weighted connection coefficient for greenhouse cucumber segmentation by using the 2-D Tsallis entropy to select the best results of iteration. Experimental results showed that, methods of contrast and regional consistency were employed to evaluate effect of different segmentation. Segmentation results of prospered method was better than using Shannon entropy and minimum cross entropy to terminate iteration of standard pulse coupled neural network segmentation. |
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| Keywords: | Cucumber Machine vision Image segmentation Self-adaptive parameter adjusting Pulse coupled neural network Weighted connection coefficient |
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