Presentation 2009-02-05
Proposing Method using Images Divided by Center Weighted Division and A Comparison for the Color Image Retrieval
Katsu OU, Junzo KAMAHARA,
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Abstract(in English) Promoted by the professional and diverse demands of image retrieval the technique of content-based image retrieval (CBIR) becomes more mature. In CBIR, Color characterization of an image is one of the most important feature and is widely used. This article describes a technique that divides the image by center weighted division and calculates the cumulative histogram of each divided images in L^*a^*b^* color space. Similarity measure uses the Euclidean Distance. According to the experimental results, Our proposed method requires additional computational burden,but it is help to improve the image retrieval effectiveness.
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Keyword(in English) CBIR / Color Space / Cumulative Histogram / Euclidean Distance
Paper # ITS2008-62,IE2008-232
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Committee ITS
Conference Date 2009/1/28(1days)
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Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proposing Method using Images Divided by Center Weighted Division and A Comparison for the Color Image Retrieval
Sub Title (in English)
Keyword(1) CBIR
Keyword(2) Color Space
Keyword(3) Cumulative Histogram
Keyword(4) Euclidean Distance
1st Author's Name Katsu OU
1st Author's Affiliation Faculty of Maritime Sciences, Kobe University()
2nd Author's Name Junzo KAMAHARA
2nd Author's Affiliation Faculty of Maritime Sciences, Kobe University
Date 2009-02-05
Paper # ITS2008-62,IE2008-232
Volume (vol) vol.108
Number (no) 424
Page pp.pp.-
#Pages 4
Date of Issue