Presentation 2001/7/11
a Recgnition and Retrieval System for Binary Images
Atsuhsi Matsumura, Miki Haseyama, Hideo Kitajima,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a new recognition and retrieval system for binary images. In this system, an image is segmented into several areas that have several different elements(e.g. circular measure, degree of occlusion, etc.). The similarity between an input image and images in the database is calculated by the elements. One of the significant points in this system is that it is a trainable system, that dignifies several points that are principal in the images. After training, the data in the image database system are renewed to get recognition rate better. This paper shows effectiveness of the proposed method and the training by some experiments.
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Keyword(in English) image recognition / image retrieval / training
Paper # IE2001-32,PRMU2001-52,MVE2001-31
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Conference Information
Committee MVE
Conference Date 2001/7/11(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) a Recgnition and Retrieval System for Binary Images
Sub Title (in English)
Keyword(1) image recognition
Keyword(2) image retrieval
Keyword(3) training
1st Author's Name Atsuhsi Matsumura
1st Author's Affiliation Graduate School of Engineering, Hokkaido University()
2nd Author's Name Miki Haseyama
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Hideo Kitajima
3rd Author's Affiliation Graduate School of Engineering, Hokkaido University
Date 2001/7/11
Paper # IE2001-32,PRMU2001-52,MVE2001-31
Volume (vol) vol.101
Number (no) 204
Page pp.pp.-
#Pages 6
Date of Issue