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基于改进PCNN的轴尖表面缺陷检测

赵慧洁 葛文谦 李旭东

赵慧洁, 葛文谦, 李旭东等 . 基于改进PCNN的轴尖表面缺陷检测[J]. 北京航空航天大学学报, 2012, (3): 340-344.
引用本文: 赵慧洁, 葛文谦, 李旭东等 . 基于改进PCNN的轴尖表面缺陷检测[J]. 北京航空航天大学学报, 2012, (3): 340-344.
Zhao Huijie, Ge Wenqian, Li Xudonget al. Modified-PCNN based detection of gyroscope pivot surface defects[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (3): 340-344. (in Chinese)
Citation: Zhao Huijie, Ge Wenqian, Li Xudonget al. Modified-PCNN based detection of gyroscope pivot surface defects[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (3): 340-344. (in Chinese)

基于改进PCNN的轴尖表面缺陷检测

基金项目: 长江学者和创新团队发展计划资助项目(IRT0705)
详细信息
  • 中图分类号: TP 391

Modified-PCNN based detection of gyroscope pivot surface defects

  • 摘要: 脉冲耦合神经网络(PCNN,Pulse Coupled Neural Network)与传统神经网络不同,不经过训练即可用于图像处理.针对PCNN模型中结构参数较多,且需要人工反复试验进行设置的困难,改进模型结构,简化了馈送输入和连接输入,减少了待定参数;根据邻域灰度动态地计算内部连接系数,由邻域的欧氏距离计算权值矩阵,再由图像的灰度特征计算动态阈值.将改进的PCNN用于陀螺轴尖表面缺陷图像的分割,用基于完整性与正确性指标的缓冲区匹配方法评价所提方法、最大熵法及Canny方法.针对不同缺陷图像的实验表明:所提算法的完整性与正确性都高于0.9,证明所提方法更有效.

     

  • [1] Eckhorn R,ReitBoeck H J,Arndt M,et al.Feature linking via synchronization among distributed assemblies:simulation of results form cat visual cortex[J].Neural Computation,1990,2(3):293-307
    [2] Ji Luping,Zhang Yi.A mixed noise image filtering method using [JP2]weighted-linking PCNNs[J].Neurocomputing,2008(71):2986-3000
    [3] 张煜东,吴乐南.基于SPCNN和Nagao滤波的图像去噪[J].中国科学F辑:信息科学,2009,39(6):598-607
    Zhang Yudong,Wu Lenan.Image denoising based on SPCNN and Nagao fileter[J]. Science in China,Series F:Information Science,2009,39(6):598-607(in Chinese)
    [4] Ji Luping,Zhang Yi,Shang Lifeng.An improved pulse coupled neural network for image processing[J].Neural Comput & Applic,2008(17):255-263
    [5] Mure 瘙 塂 an R C.Pattern recognition using pulse coupledneural networks and discrete Fourier transforms [J].Neurocomputing,2003(51):487-493
    [6] Gu Xiaodong.Feature extraction using unitlinking pulse coupled neural network and its applications[J].Neural Process Lett,2008(27):25-41
    [7] 赵峙江,张田文,张志宏.一种新的基于PCNN的图像自动分割算法研究[J].电子学报,2005,33(7):1342-1344
    Zhao Shijiang,Zhang Tianwen,Zhang Zhihong.A study of a new image segmentation algorithm based on PCNN[J].Acta Electronica Sinica,2005,33(7):1342-1344(in Chinese)
    [8] Berg H,Olsson R,Lindblad T,et al.Automatic design of pulse coupled neurons for image segmentation [J].Neurocomputing,2008(71):1980-1993
    [9] Johnson J L,Padgett M L.PCNN models and applications[J].IEEE Transactions On Neural Networks,1999,10(3):480-498
    [10] 彭真明,蒋彪,肖峻.基于并行点火PCNN模型的图像分割新方法[J].自动化学报,2008,34(9):1169-1173
    Peng Zhenming,Jiang Biao,Xiao Jun.A novel method of image segmentation based on parallelized firing PCNN[J].Acta Automatica Sinica,2008,34(9):1169-1173(in Chinese)
    [11] Stewart R D,Fermin I,Opper M.Region growing with pulse-coupled neural networks:an alternative to seeded region growing[J].IEEE Transactions on Neural Networks,2002,13(6):1557-1662
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出版历程
  • 收稿日期:  2010-12-03
  • 网络出版日期:  2012-03-30

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