期刊文献+

平稳小波滤波算法在泳池报警系统中的应用

Application of stationary wavelet filtering algorithm in the pool alarm system
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摘要 泳池内采集的图像相对于水上一般图像来说有其自身的特点,比如气泡、倒影、水波纹、光斑等干扰因素,若想滤除干扰,采用普通的算法进行滤波平滑处理,往往不尽如人意。针对泳池图像的特殊性以及传统小波存在的不足,提出了利用非采样平稳小波变换对泳池图像进行平滑滤波,首先对图像进行平稳小波多尺度分解,根据泳池图像中干扰与有效信息在不同尺度上传递的差异,运用一种改进的阈值函数进行平滑处理。实验结果证明,此算法对游泳者边缘信息保持良好,并滤除了大量干扰信息,视觉效果性能指标都大大提高。
出处 《制造业自动化》 北大核心 2011年第11期153-156,共4页 Manufacturing Automation
基金 北京工业大学人才强教深化计划-骨干教师项目(00200054R1002)
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参考文献8

  • 1How-Lung Eng,Kar-Ann Toh and Junxian Wang"A live visual surveillance system for early drowning detection at pool,"IEEE transactions on circutts and system for widbo technology,2008,18.
  • 2Chaoying Liu,Huibin Wang and Yixin Wang:Image denoising based on wavelet edge detection by scale multiplication,"Proceeding of the 2007 IEEE international congerence on integration technology March 20-24,2007,Shenzhen,China.
  • 3Qinwu Zhou,Lizhuang Liu,Zhengzhong Bian."Denoise and contrast enhancement of ultrasound speckle image based on wavelet," ICSP02 Proceeding.
  • 4Xingmei Li,Guoping Yah,and Liang Chen."Image denoise based on soft threshold and edge enhancement,"Second workshop on digital media and its application in museum and heritage.May 3,2007,Wuhan,China.
  • 5Rafael C.Gonzalez,and Richard E.Woods."Digital image processing".December,2007.
  • 6Quan Pan,Lei Zhang,Guanzhong Dal,and Hongcai Zhang."Two denoising methods by wavelet transform,"IEEE transactions on signal processing,1999,47,12.
  • 7Zhenxian Lin,Guoxiang Song,and Xue Wen."Two improved method on wavelet image denoising.," Proceedings of the second international conference on machine leaning and cybernetics,Xi'an,2-5 November 2003.
  • 8刘成云,陈振学,常发亮.基于平稳小波的自适应阈值MR图像去噪法[J].山东大学学报(工学版),2009,39(5):58-61. 被引量:5

二级参考文献11

  • 1刘成云,陈振学,马于涛.自适应阈值的小波图像去噪[J].光电工程,2007,34(6):77-81. 被引量:45
  • 2DONOHO D L, JOHNSTONE I M. Ideal spatial adaptation via wavelet shrinkage [J]. Biometrika, 1994, 81:425-455.
  • 3DONOHO D L. Denoising by soft-thresholding[J]. IEEE Trans on Information Theory, 1995 (3) : 613-627.
  • 4DONOHO D L, JOHNSTONE I M. Adapting to unknown smoothness via wavelet shrinkage [ J]. J Amer Statist Assoc, 1995, 90(12) : 1200-1224.
  • 5CHANG S G, YU Bin, VATTEREH M. Adaptive wavelet thresholding for image denoising and compression [ J]. IEEE Trans Image Processing, 2000, 9:1532-1546.
  • 6CHANG S G, YU Bin, VATYERELI M. Spatially Adaptive wavelet thresholding with context modeling for image denoising [J]. IEEE Trans Image Processing, 2000, 9:1522-1530.
  • 7LAKHWINDER KAUR, SAV1TAGUPTA, CHAUHAN R C. Image denoising using wavelet thresholding[ C ]//Ahmadabad. Proceedings of the Third Indian Conference on Computer Vision, Graphics & Image Processing. India: Allied Publishers Private Limited, 2002, 11 : 1522-1531.
  • 8徐昌发,李国宽.实用小波方法[M].武汉:华中科技大学出版社,2004:6-51.
  • 9NASON G P, SILVERMAN B W. The stationary wavelet transfer and some statistical applications in wavelet and statistics[M]//ANTONIADIS A. Lecture Notes in Statistics. Berlin: SpringerVerlag, 1995:281-299.
  • 10谢杰成,张大力,徐文立.小波图象去噪综述[J].中国图象图形学报(A辑),2002,7(3):209-217. 被引量:254

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