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Design and Implementation of Image Search Algorithm
American Journal of Software Engineering and Applications
Volume 3, Issue 6, December 2014, Pages: 90-94
Received: Dec. 9, 2014; Accepted: Dec. 17, 2014; Published: Dec. 22, 2014
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Authors
Zhengxi Wei, School of Computer Science, Sichuan University of Science & Engineering, Zigong Sichuan 643000, PR China
Pan Zhao, School of Computer Science, Sichuan University of Science & Engineering, Zigong Sichuan 643000, PR China
Liren Zhang, School of Computer Science, Sichuan University of Science & Engineering, Zigong Sichuan 643000, PR China
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Abstract
Image search is becoming an urgent problem of the next generation of search engine. We firstly review the developed situation of image search engine in this paper. Then, the main difficulty and key technologies about this engine are analyzed. Next, the design method is elaborated in detail, which mainly includes image recognition, perceptual hash algorithm, system solution, image retrieval procedure as well as software module, and so on. As a result, we develop an image search engine according to above design methods and implement searching image on the Internet. The testing results finally prove the overall performance of our image search engine is excellent and achieves the desired design requirements. By using data filtering technology and perceptual hash algorithm, the search time-consumed is less than 1 second and is of high search efficiency.
Keywords
Image Search Engine, Perceptual Hash Algorithm, Image Recognition, Feature Index, Grey Classification
To cite this article
Zhengxi Wei, Pan Zhao, Liren Zhang, Design and Implementation of Image Search Algorithm, American Journal of Software Engineering and Applications. Vol. 3, No. 6, 2014, pp. 90-94. doi: 10.11648/j.ajsea.20140306.14
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