Color Image Retrieval Based on Primitives of Color Moments

  title={Color Image Retrieval Based on Primitives of Color Moments},
  author={Jau-Ling Shih and Ling-Hwei Chen},
In this paper, a color image retrieval method based on the primitives of color moments will be proposed. First, an image is divided into several blocks. Then, the color moments of all blocks are extracted and clustered into several classes. The mean moments of each class are considered as a primitive of the image. All primitives are used as features. Since two different images may have different numbers of features, a new similarity measure is then proposed. To demonstrate the effectiveness of… CONTINUE READING
Highly Cited
This paper has 57 citations. REVIEW CITATIONS


Publications citing this paper.

57 Citations

Citations per Year
Semantic Scholar estimates that this publication has 57 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 16 references

ORTEGA,M. and MEHROTRA,S.: “Relevance feedback: A power tool in interactive content-based image retrieval,

  • Y. RUI, T. S. HUANG
  • IEEE Tran. Circuits Systems Vedio Technol…
  • 1998
1 Excerpt

MICHAEL,O.B. and HUANG,T.S.: “Supporting content-based queries over images in MARS,

  • in Proc. IEEE Int. Conf. Multimedia Computing and…
  • 1997
1 Excerpt

Similar Papers

Loading similar papers…