Volume 9 Number 4 (Apr. 2014)
Home > Archive > 2014 > Volume 9 Number 4 (Apr. 2014) >
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

[PDF]

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:  Bimonthly 
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: jsw@iap.org
  • Apr 26, 2021 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Nov 18, 2021 News!

    Papers published in JSW Vol 16, No 1- Vol 16, No 6 have been indexed by DBLP   [Click]

  • Dec 24, 2021 News!

     Vol 15, No 1- Vol 15, No 6 has been indexed by IET-(Inspec)   [Click]

  • Nov 18, 2021 News!

    [CFP] 2022 the annual meeting of JSW Editorial Board, ICCSM 2022, will be held in Rome, Italy, July 21-23, 2022   [Click]

  • Jun 06, 2022 News!

    Vol 17, No 4 has been published with online version     [Click]