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《Journal of Guangxi Normal University(Natural Science Edition)》 2007-02
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Design Method of Theme Crawler of Content Based Image Retrieval

ZHANG Lei1,LIN Kun-hui1,ZHOU Chang-le2,MAO Hong-chao1(1.College of Software,Xiamen University,Xiamen 361005,China; 2.Department of Computer Science,Xiamen University,Xiamen 361005,China)  
The theme crawler of content based image retrieval (CBIR) can fetch large quantities of domain resources from the Web.It is of great value in both professional search engines and data mining companies.Due to the lack of theme crawler CBIR,a design of theme crawler CBIR is presented,and a frame of the crawler is given.Using color-based accumulate histogram to extract the feature of the image and match the feature.A method to improve the performance of the crawler is presented in the end.
【Fund】: 国家自然科学基金资助项目(60672018);; 厦门大学“985”二期信息创新平台资助项目(0000-X07204)
【CateGory Index】: TP391.3
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