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Paper Abstract and Keywords
Presentation 2007-02-22 10:00
A Note on Improvement of Similar Image Clustering Method using Neocognitron -- Introduction of Novel Structure for Extracting Color Features --
Takatoshi Ohara, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a new image clustering method.
We have proposed an image clustering method using a neocognitron which is one of the neural networks.
In this paper, we use the edge features of the images as the input stimulus of the neocognitron.
However, since this method notes only the edge features of the images, misclassifications are inevitable by changes of the target object's direction.
Therefore, this paper proposes a new image clustering method based on the edge and color features.
The color histogram that is one of the color features is robust to these problems.
Therefore, the proposed method classifies the images based on the color histogram by using the self-organizing map.
Further, the structure of the neocognitron is adaptively set from the obtained clustering result to perform the classification based on edges.
Therefore, since both the color and edge features of the images can be utilized, our method accurately classifies the images.
Some experimental results show the proposed method achieves high classification performance.
Keyword (in Japanese) (See Japanese page) 
(in English) image clustering / neocognitron / self-organizing map / / / / /  
Reference Info. IEICE Tech. Rep., vol. 106, pp. 1-6, Feb. 2007.
Paper #  
Date of Issue 2007-02-15 (ITS, IE) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee ITE-ME ITS IE ITE-HI ITE-AIT  
Conference Date 2007-02-22 - 2007-02-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processings, Video Media for ITS, etc. 
Paper Information
Registration To ITE-ME 
Conference Code 2007-02-ITE-ME-ITS-IE-ITE-HI-ITE-CG 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Note on Improvement of Similar Image Clustering Method using Neocognitron 
Sub Title (in English) Introduction of Novel Structure for Extracting Color Features 
Keyword(1) image clustering  
Keyword(2) neocognitron  
Keyword(3) self-organizing map  
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1st Author's Name Takatoshi Ohara  
1st Author's Affiliation Graduate School of Information Science and Technolgy, Hokkaido University (Hokkaido Univ)
2nd Author's Name Takahiro Ogawa  
2nd Author's Affiliation Graduate School of Information Science and Technolgy, Hokkaido University (Hokkaido Univ)
3rd Author's Name Miki Haseyama  
3rd Author's Affiliation Graduate School of Information Science and Technolgy, Hokkaido University (Hokkaido Univ)
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Speaker Author-1 
Date Time 2007-02-22 10:00:00 
Presentation Time 25 minutes 
Registration for ITE-ME 
Paper # ITS2006-43, IE2006-228 
Volume (vol) vol.106 
Number (no) no.534(ITS), no.536(IE) 
Page pp.1-6 
#Pages
Date of Issue 2007-02-15 (ITS, IE) 


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