Paper
1 November 1991 Image segmentation based on ULCS color difference
Yuukou Horita, Makoto M. Miyahara
Author Affiliations +
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuukou Horita and Makoto M. Miyahara "Image segmentation based on ULCS color difference", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); https://doi.org/10.1117/12.50400
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Image processing

Image segmentation

Color difference

Image compression

Image processing algorithms and systems

Visual communications

Digital imaging

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