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.
| Published in | American Journal of Software Engineering and Applications (Volume 3, Issue 6) |
| DOI | 10.11648/j.ajsea.20140306.14 |
| Page(s) | 90-94 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Image Search Engine, Perceptual Hash Algorithm, Image Recognition, Feature Index, Grey Classification
| [1] | Cao Y, Wang H, Wang C, et al. Mindfinder: interactive sketch-based image search on millions of images[C]//Proceedings of the international conference on Multimedia. ACM, 2010: 1605-1608. |
| [2] | Zhu B B, Yan J, Li Q, et al. Attacks and design of image recognition CAPTCHAs[C]//Proceedings of the 17th ACM conference on Computer and communications security. ACM, 2010: 187-200. |
| [3] | De Groc C. Babouk: Focused web crawling for corpus compilation and automatic terminology extraction[C]//Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on. IEEE, 2011, 1: 497-498. |
| [4] | Sarohi H K, Khan F U. Image Retrieval using Perceptual Hashing [J]. IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN, 2013: 2278-0661. |
| [5] | Ghose T, Erlikhman G, Garrigan P, et al. Perception, Image Processing and Fingerprint-Matching Expertise[C] //PERCEPTION. 207 BRONDESBURY PARK, LONDON NW2 5JN, ENGLAND: PION LTD, 2013, 42: 11-12. |
| [6] | Liu D F, Fan X S. Study and Application of Web Crawler Algorithm Based on Heritrix [J]. Advanced Materials Research, 2011, 219: 1069-1072. |
APA Style
Zhengxi Wei, Pan Zhao, Liren Zhang. (2014). Design and Implementation of Image Search Algorithm. American Journal of Software Engineering and Applications, 3(6), 90-94. https://doi.org/10.11648/j.ajsea.20140306.14
ACS Style
Zhengxi Wei; Pan Zhao; Liren Zhang. Design and Implementation of Image Search Algorithm. Am. J. Softw. Eng. Appl. 2014, 3(6), 90-94. doi: 10.11648/j.ajsea.20140306.14
AMA Style
Zhengxi Wei, Pan Zhao, Liren Zhang. Design and Implementation of Image Search Algorithm. Am J Softw Eng Appl. 2014;3(6):90-94. doi: 10.11648/j.ajsea.20140306.14
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Download@article{10.11648/j.ajsea.20140306.14,
author = {Zhengxi Wei and Pan Zhao and Liren Zhang},
title = {Design and Implementation of Image Search Algorithm},
journal = {American Journal of Software Engineering and Applications},
volume = {3},
number = {6},
pages = {90-94},
doi = {10.11648/j.ajsea.20140306.14},
url = {https://doi.org/10.11648/j.ajsea.20140306.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajsea.20140306.14},
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.},
year = {2014}
}
TY - JOUR T1 - Design and Implementation of Image Search Algorithm AU - Zhengxi Wei AU - Pan Zhao AU - Liren Zhang Y1 - 2014/12/22 PY - 2014 N1 - https://doi.org/10.11648/j.ajsea.20140306.14 DO - 10.11648/j.ajsea.20140306.14 T2 - American Journal of Software Engineering and Applications JF - American Journal of Software Engineering and Applications JO - American Journal of Software Engineering and Applications SP - 90 EP - 94 PB - Science Publishing Group SN - 2327-249X UR - https://doi.org/10.11648/j.ajsea.20140306.14 AB - 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. VL - 3 IS - 6 ER -
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