Presentation | 2010/6/11 An effects of inhibitory connections on synchronous firing assembly in the inhibitory connected pulse coupled neural network Masahiro YOSHIHARA, Masato YONEKAWA, Hiroaki KUROKAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The Pulse Coupled Neural Network (PCNN) had been proposed as a model of visual cortex and a lot of applications to the image processing have been proposed recently. Authors also have been proposed Inhibitory Connected PCNN (IC-PCNN) which shows good performances for the color image processing. The IC-PCNN is an extended model of the PCNN model which consists of neurons, conventional PCNN connections and inhibitory connections. In our recent study, we have been shown that the IC-PCNN can obtain successful results for the color image segmentation. In this study, we focus the color image segmentation of the noise added image and we show that an optimum of inhibitory connections to avoid an effect of the noise in the image exists. In other words, we show that the optimization of the inhibitory connection is valid for the color image segmentation. Also, we show the effect of the inhibitory connections to the characteristics of synchronous firing assembly using numerical experiments. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | pulse coupled neural network / inhibitory connection / synchronous firing assembly / image segmentation |
Paper # | NC2010-13,NLP2010-13 |
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Committee | NC |
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Conference Date | 2010/6/11(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An effects of inhibitory connections on synchronous firing assembly in the inhibitory connected pulse coupled neural network |
Sub Title (in English) | |
Keyword(1) | pulse coupled neural network |
Keyword(2) | inhibitory connection |
Keyword(3) | synchronous firing assembly |
Keyword(4) | image segmentation |
1st Author's Name | Masahiro YOSHIHARA |
1st Author's Affiliation | School of Computer Science, Tokyo University of Technology() |
2nd Author's Name | Masato YONEKAWA |
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 | 2010/6/11 |
Paper # | NC2010-13,NLP2010-13 |
Volume (vol) | vol.110 |
Number (no) | 83 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |