Volume 9 Number 4 (Apr. 2014)
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JSW 2014 Vol.9(4): 931-937 ISSN: 1796-217X
doi: 10.4304/jsw.9.4.931-937

An Effective Image Retrieval Method Based on Multi-features

Lang Sun1, Yan Tang1, Hong Zhang2

1School of Computer and Information Science, Southwest University, Chongqing, China
2Department of Computing Science, Alberta University, Edmonton, Canada

Abstract—To improve the accuracy of image retrieval methods, an effective image retrieval method based on multifeatures is proposed. The color feature of the image is extracted by constructing a (16:4:4) quantization scheme of image color. Perform the marked-watershed to achieve the segmentation of the image, and then extract Jan Flusser invariant moments. Gaussian model is applied to normalize the different subcharacters distance. The final multi-features similarity consists of the color similarity and the shape similarity. Experiments demonstrate the efficiency of the proposed method.

Index Terms—image retrieval, color feature, shape feature, marked-watershed segmentation


Cite: Lang Sun, Yan Tang, Hong Zhang, "An Effective Image Retrieval Method Based on Multi-features," Journal of Software vol. 9, no. 4, pp. 931-937, 2014.

General Information

  • ISSN: 1796-217X (Online)
  • Frequency:  Quarterly
  • Editor-in-Chief: Prof. Antanas Verikas
  • Executive Editor: Ms. Yoyo Y. Zhou
  • Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
  • E-mail: jsweditorialoffice@gmail.com
  • APC: 500USD
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