Error Spectrum Shaping in 2-D State-Space Digtal Filters Using Error Diagonal Feedback
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概要
- 論文の詳細を見る
In this article, a new analogic CNN algorithm to extract features of postage stamps in gray-scale images is introduced. The Gradient Controlled Diffusion method plays an important role in the approach. In our algorithm, it is used for smoothing and separating Arabic figures drawn with a color which is similar to the background color. We extract Arabic figures in postage stamps by combining Gradient Controlled Diffusion with nearest neighbor linear CNN template and logic operations. Applying the feature extraction algorithm to different test images it has been verified that it is also effective in complex segmentation problems.
- 社団法人電子情報通信学会の論文
- 1996-10-25
著者
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Nishio Y
Tokushima Univ. Tokushima Jpn
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Nishio Yoshifumi
The Department Of Electrical And Electronic Engineering Faculty Of Engineering University Of Tokushi
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NISHIO Yoshifumi
the Faculty of Engineering, Tokushima University
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USHIDA Akio
the Faculty of Engineering, Tokushima University
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Ushida Akio
Department Of Electrical And Electronic Engineering The University Of Tokushima
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Ushida Akio
The Faculty Of Engineering Tokushima University
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Nishio Yoshifumi
Department Of Electrical And Electronic Engineering The University Of Tokushima
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KISHIDA Jun
Faculty of Engineering, Tokushima University
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REKECZKY Csaba
Analogical and Neural Computing Systems Laboratory, Computer and Automation Institute
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KISHIDA Jun
the Faculty of Engineering, Toku-shima University
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Ushida Akio
Department Of Mechanical And Electronic Engineering Faculty Of Engineering Tokushima Bunri Universit
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Nishio Y
Tokushima Univ. Tokushima‐shi Jpn
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Kishida Jun
Faculty Of Engineering Tokushima University
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Rekeczky Csaba
Computer And Automation Institute Hungarian Academy Of Sciences Hungary
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Nishio Yoshifumi
The Faculty Of Engineering Tokushima University
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