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基于交叉验证的超微弱光子图像去噪处理 被引量：1

A Denoising Technique for Ultraweak Photon Images Using Cross-Validation
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摘要 超微弱光子图像的很多有用部分被噪音所淹没 ,为了提高光子图像质量 ,提取更多有用信息 ,将一种基于交叉验证理论的小波滤波器引入到超微弱光子计数成像采集系统中 ,计算机模拟及实验结果显示 :这种处理方法能滤除较多噪音。 There have been many efforts using the ultraweak photon emission images to analyze the biological system.Issues concerning denoising technique to improve the image quality are addressed. A wavelet algorithm based on cross-validation theory is suggested. Computer simulation and experiments demonstrate that it can remove a lot of noise and provide better SNR quality.
作者 叶华俊 鲍超 刘华锋
机构地区 浙江大学现代光学仪器国家重点实验室
出处 《光子学报》 EI CAS CSCD 北大核心 2003年第2期179-181,共3页 Acta Photonica Sinica
基金 浙江省自然科学基金资助项目 (编号 :336 0 0 0 99)
关键词 超微弱光 交叉验证 量子噪音 Ultraweak photon Cross-validation Quantum noise
分类号 O572.31 [理学—粒子物理与原子核物理]
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参考文献7

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同被引文献11

  • 1郑水波,韩正之,唐厚君,张勇.最小二乘支持向量机在汽车动态系统辨识中的应用[J].上海交通大学学报,2005,39(3):392-395. 被引量：21
  • 2Vapnik V N 张学工.统计学习理论的本质[M].北京:清华大学出版社,2000..
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  • 7Qiu H, l.iao H, Lee J. Degradation assessment for machinery prognostics using Hidden Markov Models [C]//Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference-DETC2005. New York:ASME,2005, 1(A): 531-537.
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光子学报
2003年 第2期

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