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Proceedings Paper

Extension of vector features to textured color images and their application to content-based image retrievals
Author(s): Joon-Cheol Kim; Seong-Kook Kim; Jai-Woo Jang; JaeDong Yang; Joon-Whoan Lee
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Paper Abstract

In this paper, we extend the matrix features used for the textured monochrome images to the color images and define six different vector features. Those vector features extracted from the matrices for color images have useful information about not only colors but also textures of a color image. Since the type of the proposed features is just a vector, the vector features can be well adapted with the indexing schemes widely used in the content-based image retrievals. Also, we analyze the mutual relationships of the matrices if proper constraints are given to the matrix calculations. In the experiments, we show the performance and the applicability of six proposed vector features to the content-based image retrievals and verify the usefulness of the features.

Paper Details

Date Published: 19 August 1998
PDF: 11 pages
Proc. SPIE 3561, Electronic Imaging and Multimedia Systems II, (19 August 1998); doi: 10.1117/12.319735
Show Author Affiliations
Joon-Cheol Kim, Seonam Univ. (South Korea)
Seong-Kook Kim, Chonbuk National Univ. (South Korea)
Jai-Woo Jang, Chonbuk National Univ. (South Korea)
JaeDong Yang, Chonbuk National Univ. (South Korea)
Joon-Whoan Lee, Chonbuk National Univ. (South Korea)


Published in SPIE Proceedings Vol. 3561:
Electronic Imaging and Multimedia Systems II
LiWei Zhou; Chung-Sheng Li, Editor(s)

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