Presentation 2002/11/4
Image Segmenation using Multiple Multi-Layered Neural Networks
Eiji WATANABE, Takashi OZEKI, Hiroshi ISHIKAWA, Takuji HIROTA,
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Abstract(in English) Image segmentation plays an important role in image understanding problems. It is necessary for such a method to extract each region consisting of images with enough accuracy. This report proposes an image segmentation method using multiple multi-layered neural Networks (NNs). As well-known, we can obtain compressed representations in the hidden layer, when input patterns are identical with output patterns. However, when images have complex features, single neural network model can not compress them with enough accuracy. In this report, multiple NNs multi-layered neural networks is newly introduced and an image segmentation method is proposed based on the differences among the compression abilities in multiple NNs. Finally, the segmentation results by the proposed method are concretely shown by some experiments.
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Keyword(in English) Multi-layered neural network / Data compression / Image segmentation / Modular structure
Paper # NC2002-72
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Committee NC
Conference Date 2002/11/4(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Image Segmenation using Multiple Multi-Layered Neural Networks
Sub Title (in English)
Keyword(1) Multi-layered neural network
Keyword(2) Data compression
Keyword(3) Image segmentation
Keyword(4) Modular structure
1st Author's Name Eiji WATANABE
1st Author's Affiliation Faculty of Science and Engineering, Konan University()
2nd Author's Name Takashi OZEKI
2nd Author's Affiliation Faculty of Engineering, Fukuyama University
3rd Author's Name Hiroshi ISHIKAWA
3rd Author's Affiliation Faculty of Engineering, Fukuyama University
4th Author's Name Takuji HIROTA
4th Author's Affiliation Faculty of Science, Konan University
Date 2002/11/4
Paper # NC2002-72
Volume (vol) vol.102
Number (no) 430
Page pp.pp.-
#Pages 5
Date of Issue