首页 > 论文 > 强激光与粒子束 > 19卷 > 12期(pp:2011-2016)

基于脉冲耦合神经网络的空中扩展目标检测

Aerial extended target detection based on unit-linking pulse coupled neural networks

  • 摘要
  • 论文信息
  • 参考文献
  • 被引情况
  • PDF全文
分享:

摘要

对单位链接脉冲耦合神经网络模型中的线性调制、动态阈值衰减方式及步长、迭代次数控制等关键环节进行了改进,进一步简化了网络模型,使其更适合于图像处理.并针对低对比度、背景连续变化环境下的空中扩展目标检测问题,应用反色处理,并采用最大直线轮廓点数方法,确定其最佳迭代次数和分割结果,实现目标的自动检测.仿真实验结果表明,该方法能清晰完整地保留目标轮廓,有效检测出复杂背景下的空中扩展目标.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:TP391

所属栏目:高功率激光与光学

基金项目:航空科学基金资助课题(20060112116);电子科技大学青年科技基金资助课题

收稿日期:2007-04-23

修改稿日期:2007-11-13

网络出版日期:0001-01-01

作者单位    点击查看

彭真明:电子科技大学,光电信息学院,成都,610054
蒋彪:电子科技大学,光电信息学院,成都,610054
肖峻:电子科技大学,光电信息学院,成都,610054

备注:彭真明(1966-),男,湖南保靖人,博士,副教授,主要研究方向为图像处理、目标识别与跟踪;zmpeng@uestc.edu.cn.

【1】Eckhorn R,Reitboeck H J,Arndt M,et al.Feature linking via synchronization among distributed assemblies:simulation of results from cat cortex[J].Neural Comput,1990,2(3):293-307.

【2】Jcaufield H,Kinser J M.Finding shortest path in the shortest time using PCNN''s[J].IEEE Trans Neural Networks,1999,10(3):604-606.

【3】Liu X,Wang D L.Range image segmentation using a relaxation oscillator networks[J].IEEE Trans Neural Networks,1999,10(3):564-573.

【4】Gu X D,Guo S D,Yu D H.A new approach for automated image segmentation based on unit-linking PCNN[C]//Proceeding of IEEE the First International Conference on Machine Learning Cybernetics.2002:175-178.

【5】Ma Y D,Liu Q,Qing Z B.Automated image segmentation using improved PCNN model based on cross-entropy[C]//Proceeding of IEEE 2004 International Symposium on Intelligent Mutimedia,Video and Speech Processing.2004:743-746.

【6】Skourikhine A N,Prasad L,Schlei B R.Neural network for image segmentation[C]//Proceedings of SPIE.2000,4120:28-35.

【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 S J,Zhang T W,Zhang Z H.A study of a new image segmentation algorithm based on PCNN.Aata Electronica Sinica,2005,33(7):1342-1344)

【8】王红梅,张科,李言俊.一种基于PCNN的图像分割方法[J].光电工程,2005,32(5):93-96.(Wang H M,Zhang K,Li Y J.Image segmentation method based on PCNN.Opto-Electronic Engineering,2005,32(5):93-96)

【9】方勇,戚飞虎,裴炳镇.一种新的PCNN实现方法及其在图像处理中的应用[J].红外与毫米波学报,2005,24(4):291-295.(Fang Y,Qi F H,Pei B Z.PCNN implementation and applications in image processing.J Infrared and Milli-meter Waves,2005,24(4):291-295)

【10】Xu B H,Chen Z.A multisensor image fusion algorithm based on PCNN[C]// Proceedings of IEEE the 5''World Congress on Intelligent Control and Automation.2004:3679-3682.

【11】Ranganath H S,Kuntimad G.Object detection using pulse coupled neural networks[J].IEEE Trans Neural Networks,1999,10(3):615-620.

【12】Chen J,Kosei I,Wada M.Moving object extraction using multi-tiered pulse-coupled neural network[C]//Proceeding of IEEE SICE Annual Conference.2004:2843-2848.

【13】Gu X D,Zhang L M,Yi D H.General design approach to unit-linking PCNN for image processing[C]//Proceedings of IEEE International Joint Conference on Neural Networks.2005:1836-1841.

【14】彭真明,张启衡,魏宇星,等.基于多特征融合的图像匹配模式[J].强激光与粒子束,2004,16(3):281-285.(Peng Z M,Zhang Q H,Wei Y X,et al.Image matching based on multi-features fusion.High Power Laser and Particle Beams,2004,16(3):281-285)

【15】方亮,陆佳佳,叶玉堂,等.一种基于Mumford-Shah 模型的红外图像边缘检测方法[J].强激光与粒子束,2007,19(4):566-570.(Fang L,Lu J J,Ye Y T,et al.New method for edge detection of infrared images based on Mumford-Shah model.High Power Laser and Particle Beams,2007,19(4):566-570)

【16】陆宗骐.图像处理领域轮廓跟踪及应用[J].中国计算机用户,1994,(10):49-52.(Lu Z Q.Contour tracking in image processing and its application.China Computer Users,1994,(10):49-52)

【17】孙涵,任明武,杨静宇.一种快速实用的直线检测算法[J].计算机应用研究,2006,(2):256-258.(Sun H,Ren M W,Yang J Y.A fast and practical algorithm for line detection.Computer Application,2006,(2):256-258)

您的浏览器不支持PDF插件,请使用最新的(Chrome/Fire Fox等)浏览器.或者您还可以点击此处下载该论文PDF