Automatic color separation algorithms for color image

Xingming Zhang, Bei Yu, Fengsen Li, Jiawu Chen

Research output: Contribution to journalArticle

Abstract

In order to reduce the difficulties for image recognition, the color separation method may be used usually. The two kinds of automatic separation algorithms were proposed. One is based on color histogram analysis, which has stronger robustness, and other is based on color map cluster, which has stronger real-time property. Both of them not only can process image with single color background, but also can process image with multi-color background. The experimental results for petro-geological image have shown that the algorithms are available.

Original languageEnglish (US)
Pages (from-to)703-707
Number of pages5
JournalJisuanji Xuebao/Chinese Journal of Computers
Volume22
Issue number7
StatePublished - Jul 1 1999
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'Automatic color separation algorithms for color image'. Together they form a unique fingerprint.

  • Cite this