Study on Image Retrieval Method Based on Color and Location

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Abstract:

In content-based image retrieval technology,color has been widely used as a kind of important image visual information.Compared with the geometrical character of image, color has certain stability and strong robustness to zoom, parallel move and rotate.Currently there are a lot of image retrieval technologies which own their own limitations.This paper puts forward an image retrieval method based on color and location,which is available for mobile platform.This paper adopts a histogram method in color characteristics and uses block color method to solve the color space distribution.Combined with the location-based service(LBS),this method can effectively improve the performance of image retrieval on the mobile platform.

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Periodical:

Advanced Materials Research (Volumes 468-471)

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2473-2477

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Online since:

February 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Xiangyang Li,Yueyun Zhunag,Yunhe Pan.The Technique and Systems of Content-based Image Retrieval[J]. Journal of Computer Research and Development,2001,38(3).

Google Scholar

[2] Wenzhao Zhou,Dingyuan Xia. New Development of Content-Based Image Retrieval System[J]. Computer Engineering and Applications,2003,26.

Google Scholar

[3] Mingquan Zhou,Guohua Geng.Content-based Image Retrieval Technology[M].Beijing:Tsinghua University Press,2007.

Google Scholar

[4] Androutsos D,Plataniotis K N,Venetsanopoulous A N,A Novel Vector-Based Approach to Color Image Retrieval Using a Vector Angular-Based Distance Measure,Computer Vision and Image Understanding,1999.75(1/2), pp.46-58.

DOI: 10.1006/cviu.1999.0767

Google Scholar

[5] Suling Chen,Wenqi Liu.An Image Classification and Searching and Reduction Method Based on Color Features, Journal of Kunming University of Science and Technology(Natural Science Edition).Dec,2005,Vol.30,No.6.

Google Scholar

[6] Xiaogang Yang,Fei Cao.Study on the Image Grayscale Matching Algorithm Based on Similarity Measures, Systems Engineering and Electronics,2005,Vol.5,No.25.

Google Scholar