Research for Texture Analysis in Content-Based Image Retrieval

doi:10.11925/infotech.1003-3513.2006.01.11

New Technology of Library and Information Service

2006, Vol. 22

Issue (1): 59-61 DOI: 10.11925/infotech.1003-3513.2006.01.11

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Research for Texture Analysis in Content-Based Image Retrieval

Yuan Fuyong Wang Haixia Yang Zhiqiu

(The College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004,China)

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Abstract

Firstly the article introduces three common texture analysis methods in the content-based image retrieval。A new algorithm which is called run-length accumulating algorithm is presented based on the run-length statistic algorithm. We develop a texture-based image retrieval system. The experiment proves that run-length accumulating algorithm reflects texture feature of image more precisely than run-length statistic algorithm.

Key words： Image retrieval Texture feature Texture analysis Run-length

Received: 22 September 2005 Published: 25 January 2006

TP391

Corresponding Authors: Yuan Fuyong E-mail: hxzhufu@sohu.com

About author:: Yuan Fuyong,Wang Haixia,Yang Zhiqiu

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Cite this article:

Yuan Fuyong,Wang Haixia,Yang Zhiqiu. Research for Texture Analysis in Content-Based Image Retrieval. New Technology of Library and Information Service, 2006, 22(1): 59-61.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2006.01.11 OR http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2006/V22/I1/59

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