The Design and Implementation of a Content-based Image Retrieval System using the Texture Pattern and Slope Components of Contour Points 


Vol. 4,  No. 1, pp. 54-66, Jan.  1997
10.3745/KIPSTE.1997.4.1.54


PDF
  Abstract

Effcient retrieval of image data is an important research issue in multimedia database. This paper proposes a new approach to a content-based image retrieval which allows queries to be composed of the local texture patterns and the slope components of contour points. The texture patterns extracted from the source image using the graylevel co-occurence matrix and the slope components of contour points extracted from the binary image are converted into a internal feature representation of reduced dimensionality which preserves the perceptual similarity and those features can be used in creating efficient indexing structures for a content-based image retrieval. Experimental results of the image retrieval are presented to illustrate the usefulness of this approach that demonstrates the percision 82%, the recall 87% and the average rank 3.3 content-based image data retrieval.

  Statistics
  Cite this article

[IEEE Style]

C. H. Sub, K. C. Won, K. S. Dong, C. K. Ho, "The Design and Implementation of a Content-based Image Retrieval System using the Texture Pattern and Slope Components of Contour Points," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 4, no. 1, pp. 54-66, 1997. DOI: 10.3745/KIPSTE.1997.4.1.54.

[ACM Style]

Choi Hyun Sub, Kim Cheol Won, Kim Seong Dong, and Choi Ki Ho. 1997. The Design and Implementation of a Content-based Image Retrieval System using the Texture Pattern and Slope Components of Contour Points. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 4, 1, (1997), 54-66. DOI: 10.3745/KIPSTE.1997.4.1.54.

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