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PCNN模型在彩色图像分割中的应用
引用本文:程丹松,刘晓芳,金野,魏子尧,唐降龙,刘家锋.PCNN模型在彩色图像分割中的应用[J].哈尔滨工业大学学报,2009,41(3):58-62.
作者姓名:程丹松  刘晓芳  金野  魏子尧  唐降龙  刘家锋
作者单位:程丹松,金野,唐降龙,刘家锋,CHENG Dan-song,JIN Ye,TANG Xiang-long,LIU Jia-feng(哈尔滨工业大学,计算机科学与技术学院,哈尔滨,150001);刘晓芳,LIU Xiao-fang(哈尔滨工业大学,电气工程学院,哈尔滨,150001);魏子尧,WEI Zi-yao(北京航空航天大学,计算机系,北京,100191)  
基金项目:哈尔滨青年科技创新人才基金 
摘    要:针对脉冲耦合神经网络(PCNN)模型主要应用于灰度图像处理的局限性,利用脉冲发生器将颜色信息引入模型作为输入,与灰度信息共同控制神经元的内部行为,控制等灰度值的不同颜色区域分期点火,实现彩色图像的精确分割.双输入PCNN模型实现了彩色图像的分割,同时保持了PCNN模型对噪声的鲁棒性,从简单的仿真图像和实际图像两方面验证了此分割方法的有效性.

关 键 词:脉冲耦合神经网络(PCNN)  图像分割  彩色图像

A segmentation method of color images based on improved PCNN
CHENG Dan-song,LIU Xiao-fang,JIN Ye,WEI Zi-yao,TANG Xiang-long,LIU Jia-feng.A segmentation method of color images based on improved PCNN[J].Journal of Harbin Institute of Technology,2009,41(3):58-62.
Authors:CHENG Dan-song  LIU Xiao-fang  JIN Ye  WEI Zi-yao  TANG Xiang-long  LIU Jia-feng
Affiliation:1(1.School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China;2.School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,China;3.Dept.of Computer Science and Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100191,China)
Abstract:To overcome the limitation of the pulse-coupled neural network(PCNN) for its application in processing of color images,the hue data were introduced into the basic PCNN model by adopting the signal generator to control the internal activities of cells.The pixels with the same grey level and different hue data were pulsed separately in the double-input PCNN.It is indicated that the double-input PCNN can achieve the segmentation of color images and is robust to noises.The experimental results on synthetic images and natural images verify the validity of the model.
Keywords:pulse-coupled neural network(PCNN)  image segmentation  color image
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