A Filter of Concentric Shapes for Image Recognition and Its Implementation in a Modified DT-CNN(Special Section on Nonlinear Theory and its Applications)
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概要
- 論文の詳細を見る
This paper describes the implementation of a proposed image filter into a Discrete-Time Cellular Neural Network (DT-CNN). The three stages that compose the filter are described, showing that the resultant filter is capable of (1) erasing or detecting several concentric shapes simultaneously, (2) thresholding and (3) thinning of gray-scale images. Because the DT-CNN has to fill certain conditions for this filter to be implemented, it becomes a modified version of a DT-CNN. Those conditions are described and also experimental results are clearly shown.
- 社団法人電子情報通信学会の論文
- 2001-09-01
著者
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Kitagawa Sachiko
Division of Biological Sciences, Graduate School of Science, Nagoya University
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Kitagawa Sachiko
Division Of Biological Sciences Graduate School Of Science Nagoya University
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Sandoval Hector
The Graduate School Of Engineering Tokyo University Of Technology
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HATTORI Taizoh
the Department of Management and Information Science, Tokyo International University
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KITAGAWA Sachiko
the Graduate School of Engineering, Tokyo University of Technology
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CHIGUSA Yasutami
the Graduate School of Engineering, Tokyo University of Technology
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Chigusa Yasutami
The Graduate School Of Engineering Tokyo University Of Technology
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Hattori Taizoh
The Department Of Management And Information Science Tokyo International University
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- A Filter of Concentric Shapes for Image Recognition and Its Implementation in a Modified DT-CNN(Special Section on Nonlinear Theory and its Applications)