Presentation | 2011-07-01 The image matching using temporal firing characteristics of Pulse Coupled Neural Network Masato YONEKAWA, Hiroaki KUROKAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The image recognition using Pulse Coupled Neural Network(PCNN) was proposed. PCNN for image recognition need to adjust the settings about the neurons and their binding. We proposed an adjustment method for image recognition PCNN that used learning images. The Image matching of many patterns that are included in images is a problem of the image recognition. In this study, We used the method that proposed for image recoginiton using PCNN to learn many patterns for image matching. PCNN find similarities and make comparisons of images representing the patterns and learning patterns presented to image matching. Therefore, we shows the relationship between the number of patterns and pattern recognition rate and effectiveness of method proposed for PCNN image recognition at image matching. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Pulse Coupled Neural Network / Image recognition / Image maching |
Paper # | NLP2011-38 |
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Conference Information | |
Committee | NLP |
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Conference Date | 2011/6/23(1days) |
Place (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) | The image matching using temporal firing characteristics of Pulse Coupled Neural Network |
Sub Title (in English) | |
Keyword(1) | Pulse Coupled Neural Network |
Keyword(2) | Image recognition |
Keyword(3) | Image maching |
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 | 2011-07-01 |
Paper # | NLP2011-38 |
Volume (vol) | vol.111 |
Number (no) | 106 |
Page | pp.pp.- |
#Pages | 6 |
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