Paper
21 September 1994 Generalized adaptive median filters and their application in computed tomography
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Abstract
A generalized adaptive median filter (GAMF) is introduced for more robust noise suppression and edge preservation in computed tomography. The GAMF employs a set of adaptive linear filters in conjunction with an adaptive median filter. Each linear filter is designed to preserve a feature in one orientation. The window sizes of these filters are adaptive to the local statistics. The output of the GAMF is selected from the linear filter output set that is closest to the adaptive median filter. This filter has been successfully utilized in the computed tomography to combat severe streaking artifacts resulting from excessive x-ray quantum noise. Its effectiveness has been demonstrated in phantom tests and clinical studies. In addition, little impact on system resolution can be observed.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiang Hsieh "Generalized adaptive median filters and their application in computed tomography", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186581
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Cited by 8 scholarly publications.
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KEYWORDS
Digital filtering

Linear filtering

Image processing

Computed tomography

Electronic filtering

Nonlinear filtering

X-rays

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