Extraction of perceptual hue feature set for color image/video segmentation

Ming Jiun Wang, Gwo Giun Lee, He Yuan Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


In this paper, we present a simple but effective algorithm for the extraction of perceptual hue feature set used in color image/video segmentation with emphasis on color textures. Feature extraction, with significant impact on the overall image/video analysis process, plays a critical role in classification-based segmentation. Color textures are accurately characterized by the newly introduced feature set with invariance to illumination, translation, and rotation, which is contributed by the statistical scheme in exploring the distribution of six rudimentary colors and the achromatic component at local positions. The feature set provides characteristic information and enables segmentation that is more meaningful than the recently published works do.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings
Number of pages4
Publication statusPublished - 2008 Dec 1
Event9th Pacific Rim Conference on Multimedia, PCM 2008 - Tainan, Taiwan
Duration: 2008 Dec 92008 Dec 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5353 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other9th Pacific Rim Conference on Multimedia, PCM 2008

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Extraction of perceptual hue feature set for color image/video segmentation'. Together they form a unique fingerprint.

Cite this