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粒子滤波在图像数据分析中的应用 被引量：3

Particle Filter and its Application in Image Data Analysis
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摘要 利用粒子滤波的估值计算,以电泳凝胶图像的数据分析为例,在不破坏原始数据的条件下,对被噪声和其它缺陷污染的蛋白点进行量化,实验证明粒子滤波算法可以快速有效地抑制干扰因素,恢复真实的数据特性。 Particle Fiher（PF） is a resampling technique that estimates the unknown population distribution by sampling from the empirical distribution. Due to its adaptation to nonlinear and non-Gaussian space, this optimal estimation method is one of the most discussed topics in literatures. This paper introduces particle filtering algorithm to restore corrupted original data from 2-D electrophoresis gel images and quantizes protein spots. Experiments show that the PF based algorithm is effective and robust in image data processing and restoration.
作者 魏怡 王伟 谈春艳
机构地区 武汉理工大学自动化学院
出处 《信息与电子工程》 2008年第4期270-274,共5页 information and electronic engineering
基金 教育部留学回国启动基金(教外司留2005[383])
关键词 粒子滤波 优化估计 凝胶图像 particle filter optimal estimation gel image
分类号 TN911.73 [电子电信—通信与信息系统]
  • 相关文献

参考文献9

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共引文献148

同被引文献20

  • 1姚智颖,刘冬,刘光斌.基于粒子滤波的INS/TAN组合导航[J].电光与控制,2006,13(3):54-55. 被引量：10
  • 2关世义.三论超低空突防战术和技术[J].战术导弹技术,2006(2):1-8. 被引量：12
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引证文献3

二级引证文献11

信息与电子工程
2008年 第4期

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