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Edge Detection from Noisy Images Using a Neural Edge Detector
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- SUZUKI Kenji
- Kurt Rossmann Laboratories for Radiologic Image Research,Department of Radiology,The University of Chicago
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- HORIBA Isao
- Faculty of Information Science and Technology,Aichi Prefectural University
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- SUGIE Noboru
- Faculty of Science and Technology,Meijo University
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Description
In this paper, a new edge detector using a multilayer neural network, called a neural edge detector (NED), is proposed for detecting the desired edges from noisy images. By the results of experiments with noisy natural images, it was demonstrated that the NED could detect edges robustly against noise.
Journal
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- IEICE transactions on information and systems
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IEICE transactions on information and systems 86 (4), 777-, 2003-04-01
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1570291227387613952
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- NII Article ID
- 110003223302
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- NII Book ID
- AA10826272
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- ISSN
- 09168532
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- Text Lang
- en
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- Data Source
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- CiNii Articles