Skip to content

Multiscale color-texture image segmentation with adaptive region merging

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

Original languageEnglish
Title of host publication2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, Honolulu, HI, USA
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Publication dateApr 2007
Pages1213 - 1216
Number of pages4
VolumeI
ISBN (Print)1424407281, 1424407273
DOIs
StatePublished

Conference

ConferenceInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP)
CountryUnited States
CityHonolulu, HI
Period1/04/07 → …

Abstract

A novel multiscale image segmentation algorithm is presented, which is based on the dominant color and homogeneous texture features (HTF) that are adopted in the MPEG-7 standard. These features are efficiently combined to perform the automatic segmentation. First, the image is roughly segmented into textured and nontextured regions using Gabor decomposition. A multiscale segmentation is then applied to the resulting regions, according to the local texture feature. Finally, a precise boundary refinement procedure is employed to accurately determine the boundaries between textured and nontextured regions. A novel region merging algorithm is introduced with a simple and effective segment classification by using HTF to deal with the over-segmentation problem. Experiments show that our algorithm provides an improved performance compared with JSEG and a watershed algorithm.

Additional information

Rose publication type: Conference contribution Terms of use: Copyright © 2007 IEEE. Reprinted from IEEE International Conference on Acoustics, Speech and Signal Processing, 2007 (ICASSP 2007). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Research areas

  • MPEG-7, multiscale segmentation, dominant colour, adaptive region merging, homogeneous texture

Event

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Duration1 Apr 2007 → …
CountryUnited States
CityHonolulu, HI

Event: Conference

Documents

Documents

DOI

View research connections

Related faculties, schools or groups