| Presentation | 2009-02-28 An automatic parameter adaptation for image segmentation using a Pulse Coupled Neural Network Masato YONEKAWA, Hiroaki KUROKAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The Pulse Coupled Neural Network (PCNN) is a simulation model of neurons' synchronization phenomena in cats visual cortex and an application to the image processing has been studied, recently. The two-dimensional PCNNs are used for the image processing and the parameters in the PCNN are adjusted by trials and errors. However, because of many parameters of PCNN, it is difficult to configure these parameters appropriately. In this study, we propose an parameter adaptation algorithm for PCNN. The proposed algorithm changes parameters according to PCNN's output states and does not require any object image as a teaching data. Simulation results show that the optimal parameters of the PCNN for image segmentation is automatically obtained. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Pulse Coupled Neural Networks / image processing / parameter adaptation |
| Paper # | NLP2008-146 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2009/2/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An automatic parameter adaptation for image segmentation using a Pulse Coupled Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Pulse Coupled Neural Networks |
| Keyword(2) | image processing |
| Keyword(3) | parameter adaptation |
| 1st Author's Name | Masato YONEKAWA |
| 1st Author's Affiliation | Tokyo University of Technology() |
| 2nd Author's Name | Hiroaki KUROKAWA |
| 2nd Author's Affiliation | Tokyo University of Technology |
| Date | 2009-02-28 |
| Paper # | NLP2008-146 |
| Volume (vol) | vol.108 |
| Number (no) | 442 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |