Function Regression for Image Restoration by Fuzzy Hough Transform
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概要
- 論文の詳細を見る
A function approximation scheme for image restoration is presented to resolve conflicting demands for smoothing within each object and differentiation between objects. Images are defined by probability distributions in the augmented functional space composed of image values and image planes. According to the fuzzy Hough transform, the probability distribution is assumed to take a robust form and its local maxima are extracted to yield restored images. This statistical scheme is implemented by a feedforward neural network composed of radial basis function neurons and a local winner-takes-all subnetwork.
- 1998-06-25
著者
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Urahama Kiichi
The Faculty Of Visual Communication Design Kyushu Institute Of Design
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KUBO Koichiro
the Faculty of Visual Communication Design, Kyushu Institute of Design
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Kubo Koichiro
The Faculty Of Visual Communication Design Kyushu Institute Of Design
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URAHAMA Kiichi
the Faculty of Design, Kyushu University
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