A Two-Cascaded Filtering Method for the Enhancement of X-Ray CT Image
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概要
- 論文の詳細を見る
A two-cascaded image processing approach to enhance the subtle differences in X-ray CT image is proposed. In the method, an asymmetrical non-linear subfilter is introduced to reduce the noise inherent in the image while preserving local edges and directional structural information. Then, a subfilter is used to compress the global dynamic range of the image and emphasize the details in the homogeneous regions by performing a modular transformation on local image den-sities. The modular transformation is based on a dynamically defined contrast factor and the histogram distributions of the image. The local contrast factor is described in accordance with Weber's fraction by a two-layer neighborhood system where the relative variances of the medians for eight directions are computed. This method is suitable for low contrast images with wide dynamic ranges. Experiments on X-ray CT images of the head show the validity of the method.
- 社団法人電子情報通信学会の論文
- 1993-12-25
著者
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Aoki Yoshinao
Faculty Of Engineering Hokkaido University
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Zhang Shanjun
Faculty of Engineering, Hokkaido University
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Kawasima Toshio
Faculty of Engineering, Hokkaido University
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Zhang Shanjun
Faculty Of Engineering Hokkaido University
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Kawasima Toshio
Faculty Of Engineering Hokkaido University
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- A Two-Cascaded Filtering Method for the Enhancement of X-Ray CT Image