Image segmentation based on ULCS color difference

Yuukou Horita*, Makoto Miyahara

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages607-620
Number of pages14
Editionpt 2
ISBN (Print)0819407437, 9780819407436
DOIs
StatePublished - 1991
EventVisual Communications and Image Processing '91: Image Processing Part 2 (of 2) - Boston, MA, USA
Duration: 1991/11/111991/11/13

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Numberpt 2
Volume1606
ISSN (Print)0277-786X

Conference

ConferenceVisual Communications and Image Processing '91: Image Processing Part 2 (of 2)
CityBoston, MA, USA
Period1991/11/111991/11/13

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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