Content - based Image Retrieval using Color Ratio and Moment of Object Region 


Vol. 9,  No. 4, pp. 501-508, Aug.  2002
10.3745/KIPSTB.2002.9.4.501


PDF
  Abstract

In this paper, we propose a content-based image retrieval using the color ratio and moment of object region. We acquire an optimal spatial information by the region splitting that utilizes horizontal-vertical projection and dominant color. It is based on hypothesis that an object locates in the center of image. We use color ratio and moment as feature informations. Those are extracted from the splitted regions and have the invariant property for various transformation, and besides, similarity measure utilizes a modified histogram intersection to acquire correlation information between bins in a color histogram. In experimental results, the proposed method shows more flexible and efficient performance than existing methods based on region splitting.

  Statistics
  Cite this article

[IEEE Style]

E. K. Kim, J. T. Oh, W. H. Kim, "Content - based Image Retrieval using Color Ratio and Moment of Object Region," The KIPS Transactions:PartB , vol. 9, no. 4, pp. 501-508, 2002. DOI: 10.3745/KIPSTB.2002.9.4.501.

[ACM Style]

Eun Kyong Kim, Jun Taek Oh, and Wook Hyun Kim. 2002. Content - based Image Retrieval using Color Ratio and Moment of Object Region. The KIPS Transactions:PartB , 9, 4, (2002), 501-508. DOI: 10.3745/KIPSTB.2002.9.4.501.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals