Presentation 2013-01-24
Hardware Implementation of the Inhibitory Connected Pulse Coupled Neural Network using FPGA
Masahiro YOSHIHARA, Soichiro IKUNO, Hiroaki KUROKAWA,
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Abstract(in English) Image segmentation is one of an image processing. Image segmentation is used object recognition and object detection. Pulse Coupled Neural Network have been utilized for an image segmentation. Image segmentation using PCNN have been studied to object recognition and object detection systems. PCNN had studied to hardware implementation using FPGA so that PCNN is expected to applied embedded systems for object recognition and object detection. Many embedded systems using color image segmentation have been proposed. However, image segmentation using PCNN uses gray scale images. Inhibitory Connected-Pulse Coupled Neural Network(IC-PCNN) has been proposed as an extension of the PCNN model corresponding to the color image processing. Therefore, in this study, We implemented IC-PCNN as an hardware using FPGA. We evaluated to implemented IC-PCNN.
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Keyword(in English) image segmentation / inhibitory connected pulse coupled neural network / FPGA
Paper # NLP2012-120,NC2012-110
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Conference Information
Committee NLP
Conference Date 2013/1/17(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) Hardware Implementation of the Inhibitory Connected Pulse Coupled Neural Network using FPGA
Sub Title (in English)
Keyword(1) image segmentation
Keyword(2) inhibitory connected pulse coupled neural network
Keyword(3) FPGA
1st Author's Name Masahiro YOSHIHARA
1st Author's Affiliation School of Computer Science, Tokyo University of Technology()
2nd Author's Name Soichiro IKUNO
2nd Author's Affiliation School of Computer Science, Tokyo University of Technology
3rd Author's Name Hiroaki KUROKAWA
3rd Author's Affiliation School of Computer Science, Tokyo University of Technology
Date 2013-01-24
Paper # NLP2012-120,NC2012-110
Volume (vol) vol.112
Number (no) 389
Page pp.pp.-
#Pages 6
Date of Issue