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Proceedings Paper

Image segmentation based on ULCS color difference
Author(s): Yuukou Horita; Makoto M. Miyahara
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Paper Abstract

In studying high efficiency color image coding and image processing, it is important to segment several regions that represent real objects. By performing this region segmentation, we can establish the structural description using the characteristic information of regions. To segment the image into several characteristic regions, we adopt the clustering algorithm in the Uniform Lightness Chromaticness Scale System and the merging process based on the measure of Godlove's color difference.

Paper Details

Date Published: 1 November 1991
PDF: 14 pages
Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50400
Show Author Affiliations
Yuukou Horita, Ishikawa College of Technology (Japan)
Makoto M. Miyahara, Nagaoka Univ. of Technology (Japan)

Published in SPIE Proceedings Vol. 1606:
Visual Communications and Image Processing '91: Image Processing
Kou-Hu Tzou; Toshio Koga, Editor(s)

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