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KMID : 0974620010190010001
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Bulletin of Dongnam Health University
2001 Volume.19 No. 1 p.1 ~ p.6
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Nosie Reduction using RWM Filter in Chest X-ray Images
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이후민 / Lee HM
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Abstract
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A technical method of noise modeling and RWM(recursive weighted median) filtering for reducing of noise in chest x-ray images is presented. By adjusting the characteristics of the filter
according to local statistics around each pixel of the image is moving windowing. it is possible to suppress noise sufficiently while preserve edge and other significant information required in diagnosis. Homogeneous factor from the noise models that enables the filter to recognize the local structures of the image is introduced, and an algorithm for determining the homogeneous factor fitted to the diagnostic systems with various inner statistical properties is proposed. We show by the experimented that the performances of proposed method is superior to these of other filters and models in preserving small details and suppressing the noise at homogeneous region.
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KEYWORD
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