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长春光学精密机械与物... [1]
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会议论文 [1]
发表日期
2006 [1]
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发表日期:2006
内容类型:会议论文
专题:长春光学精密机械与物理研究所
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CR image filter methods research based on wavelet-domain hidden markov models (EI CONFERENCE)
会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Wang J.-L.
;
Wang Y.-P.
;
Li D.-Y.
;
Li S.-W.
;
Kui H.-L.
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浏览/下载:15/0
  |  
提交时间:2013/03/25
In the procedure of computed radiography imaging
we should firstly get across the characters of kinds of noises and the relationship between the image signals and noises. Based on the specialties of computed radiography (CR) images and medical image processing
we have study the filtering methods for computed radiography images noises. On the base of analyzing computed radiography imaging system in detail
the author think that the major two noises are Gaussian white noise and Poisson noise. Then
the different relationship of between two kinds of noises and signal were studied completely. By considering both the characteristics of computed radiography images and the statistical features of wavelet transformed images
a multiscale image filtering algorithm
which based on two-state hidden markov model (HMM) and mixture Gaussian statistical model
has been used to decrease the Gaussian white noise in computed images. By using EM (Expectation Maximization) algorithm to estimate noise coefficients in each scale and obtain power spectrum matrix
then this carried through the syncretized two Filter that are IIR(infinite impulse response) Wiener Filter and HMM
according to scale size
and achieve the experiments as well as the comparison with other denoising methods were presented at last.
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