Presentation 2013-10-28
Motion Picture Processing by Two-Layer Cellular Neural Networks with Switching Templates
Kazushige NATSUNO, Yoko UWATE, Yoshifumi NISHIO,
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Abstract(in English) The structure of Cellular Neural Network(CNN) is grating coupling of analog circuits. The CNN can be used for various image processing applications by template.The template is the pattern of coupling that make a decision about behavior of CNN. In a general way, image processing of using conventional cellular neural networks is still image processing. On the other hand, it is few for motion picture processing. Therefore, we propose the new system which is effective structure for motion picture processing. In this paper, we investigate characteristics of output values by a proposed new system of two layer cellular neural networks (two-layer CNN). From simulation results, we confirm that the proposed system makes it possible to characterize the time course characteristic of moving object.
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Keyword(in English) image processing / motion picture / retina
Paper # NLP2013-71
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Conference Information
Committee NLP
Conference Date 2013/10/21(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Motion Picture Processing by Two-Layer Cellular Neural Networks with Switching Templates
Sub Title (in English)
Keyword(1) image processing
Keyword(2) motion picture
Keyword(3) retina
1st Author's Name Kazushige NATSUNO
1st Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University()
2nd Author's Name Yoko UWATE
2nd Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University
3rd Author's Name Yoshifumi NISHIO
3rd Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University
Date 2013-10-28
Paper # NLP2013-71
Volume (vol) vol.113
Number (no) 271
Page pp.pp.-
#Pages 5
Date of Issue