Edge Detection Using Neural Network for Non-uniformly llluminated Images
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概要
- 論文の詳細を見る
Existing edge detection methods provide unsatisfactory results when contrast changes largely within an image due to non-uniform illumination. Koch et al. developed an energy function based upon the Hopfield neural network, whose coefficients were fixed by trial and error, and remain constant for the entire image, irrespective of the differences in intensity level. This paper presents an improved edge detection method for non-uniformly illuminated images. We propose that the energy function coefficients for an image with inconsistent illumination should not remain fixed, rather should vary as a second-order function of the intensity differences between pixels, and actually use a schedule of changing coefficients. The results, compared with those of existing methods, suggest a better strategy for edge detection depending upon both the dynamic range of the original image pixel values as well as their contrast.
- 社団法人電子情報通信学会の論文
- 1996-02-25
著者
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SATOH Makoto
Department of of Urology, Tohoku University Graduate School of Medicine
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IWATA Akira
Department of Computer Science & Engineering, Nagoya Institute of Technology
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Bhuiyan Md.
Department Of Electrical And Computer Engineering Nagoya Institute Of Technology
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Iwata A
Department Of Computer Science & Engineering Nagoya Institute Of Technology
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Iwata Akira
The Department Of Computer Science & Engineering Nagoya Institute Of Technology
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Matsuo Hiroshi
Department Of Medicine Faculty Of Medicine University Of Tokyo
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Satoh M
Sci. Univ. Tokyo Noda‐shi Jpn
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Fujimoto Hideo
Department Of Computer Science And Engineering Graduate School Of Engineering Nagoya Institute Of Te
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Fujimoto Hideo
Department Of Mechanical Engineering Nagoya Institute Of Technology
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Matsuo Hiroshi
Department Of Cardiology And Nephrology Mie University Graduate School Of Medicine
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Matsuo H
Department Of Electrical And Computer Engineering Nagoya Institute Of Technology
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Matsuo Hiroshi
Department Of Applied Physics Faculty Of Engineering Osaka University
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Satoh Makoto
Department Of Molecular Immunology Institute Of Development Aging And Cancer Tohoku University
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SATOH Makoto
Department of Life and Health Education, Johetsu University of Education
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