Perceptually-tuned multiscale color-texture segmentation

Junqing Chen*, Thrasyvoulos N. Pappas, Aleksandra Mojsilovic, Bernice E. Rogowitz

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations


We present a perceptually-tuned multiscale image segmentation algorithm that is based on spatially adaptive color and texture features. The proposed algorithm extends a previously proposed approach to include multiple texture scales. The determination of the multiscale texture features is based on perceptual considerations. We also examine the perceptual tuning of the algorithm and how it is affected by the presence of different texture scales. The multiscale extension is necessary for segmenting higher resolution images, and is particularly effective in segmenting objects shown in different perspectives. The performance of the proposed algorithm is demonstrated in the domain of photographic images.

Original languageEnglish (US)
Pages (from-to)921-924
Number of pages4
JournalProceedings - International Conference on Image Processing, ICIP
StatePublished - Dec 1 2004
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: Oct 18 2004Oct 21 2004

ASJC Scopus subject areas

  • Engineering(all)


Dive into the research topics of 'Perceptually-tuned multiscale color-texture segmentation'. Together they form a unique fingerprint.

Cite this