期刊文献+

基于小波变换的多目标检测方法研究 被引量:1

Multi-targets detection method based on wavelet transform
下载PDF
导出
摘要 针对图像序列中多个运动弱小目标的检测问题,提出了一种用于基于小波变换与帧间差分相结合的检测方法。算法首先对原始图像进行小波变换,利用小波变换增强了目标与背景之间的差别,然后使用帧间差分方法对小波变换后的水平分量和垂直分量进行运算,计算出多个运动的弱小目标。与传统的帧差分方法相比,该方法利用小波变换增强了目标与背景之间的差别,帧间差分运算的区域小,速度快。实验结果表明,使用该方法可以对信噪比为2.9的目标正确提取,减小了虚警率,抗噪声干扰能力强。 A algorithm based on wavelet transform and frame difference method is proposed for multi moving small target in series im- ages. This method will wavelet transform on image in order to suppress background and enhance targets, then compute on horizon and vertical by frame difference method in order to compute the target. Compared with the traditional frame difference method, this method enhances the targets, the size of frame difference method is more smaller and the speed is faster. Experiment result show t...
出处 《微计算机信息》 北大核心 2008年第10期277-278,共2页 Control & Automation
关键词 小波变换 目标检测 低信噪比 多目标 图像序列 Wavelet transform Target detecting Low SNR Multi- target image sequence
  • 相关文献

参考文献3

二级参考文献8

  • 1王玉平,蔡元龙.多尺度B样条小波边缘检测算子[J].中国科学(A辑),1995,25(4):426-437. 被引量:68
  • 2Hong L,IEEE CH330 6-8/93/0 0 0 0 -0 388,1993年,388页
  • 3Mallat Stephane G,IEEE Transpatternanalysis Machineintelligence,1992年,14卷,7期,710页
  • 4M. V. Srinivasan. Generalized gradient schemes for the measurement of two-dimensional image motion[J] 1990,Biological Cybernetics(6):421~431
  • 5S. Uras,F. Girosi,A. Verri,V. Torre. A computational approach to motion perception[J] 1988,Biological Cybernetics(2):79~87
  • 6W. E. Reichardt,R. W. Schl?gl. A two dimensional field theory for motion computation[J] 1988,Biological Cybernetics(1):23~35
  • 7沈兰荪,魏海,黄祥林.压缩域图像处理技术研究[J].北京工业大学学报,2000,26(3):24-32. 被引量:16
  • 8彭嘉雄.图象的二值化与边缘抽取技术[J].电信科学,1986,2(10):17-22. 被引量:6

共引文献250

同被引文献8

  • 1Richard B. Olsen, Paris W. Vachou. Special IssUe on Ship Detection in Costal Waters. Canadian Journal of Remote Sensing, Vol. 27, No.4, August 2001.
  • 2Vachon P W, et al. Validation of ship detection by the RADARSAT synthetic aperture radar and the ocean monitoring workstation. Canadian Journal of Remote Sensing. 2000.
  • 3Michael Kas, Andrew Witkin, Demetri Terzopoulos.Snake: Active Contour Models.In Proceedings of First International Conference on Computer Vision[C]. 1987.
  • 4Stanley Osher,James Sethian.Fronts propagating with Curvature--Dependent speed:algorithms based on Hamihon--Jacobi formulations.Journal of Computational Physics, 1988.
  • 5Ravikanth Malladi,James Sethian, Baha Vemuri.Shape modeling with front propagation: a level set approach.IEEE Transactions on PAMI, 1995.
  • 6Jiang Q, et al. Automatic Detection for Ship Targets in RADARSAT SAR Images from Coastal Regions. Vision interface'99.
  • 7Jiang Q. A System For Ship Detection From SAR Imagery Using Different PDF Models. Ship Detection in Coastal Waters Workshop. 2000.
  • 8Kenneth R. Castleman. Digital Image Processing. USA :Prentice Hall, 1998.

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部