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《Journal of Sichuan University of Science & Engineering(Natural Science Edition)》 2014-01
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Image Search Engine Based on Grey-Classification

WEI Zhengxi;QIU Ling;ZHAO Pan;School of Computer Science,Sichuan University of Science & Engineering;  
The image search is an urgent problem of the next generation of search engines.The main functions and key technologies of the image search engine are analyzed and discussed in the article.Next,the main contents including task analysis,solutions,perception hash algorithm,as well as implementation methods and so on,are discussed.As a result,an image search engine based on gray-classification is designed.The tests show that the image search engine has very fast speed and stable performance,and basically achieves the desired design requirements.
【Fund】: 人工智能四川省重点实验室项目(2011RYY03)
【CateGory Index】: TP391.41
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