Interactive texture segmentation via IT-SNAPS

Arunkumar Gururajan, Hamed Sari-Sarraf, Eric Hequet

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

5 Scopus citations

Abstract

This paper presents a new framework for an interactive image delineation technique, which we term as the Interactive Texture-Snapping System (IT-SNAPS). The uniqueness of ITSNAPS stems from the fact that it can effectively assist the user in accurately segmenting images with complex texture, without placing undue burden on the operator. This is made possible by unobtrusive extraction of information from the user during the delineation process, which in turn, is utilized on-the-fly to adapt IT-SNAPS to the boundary being segmented. The current work details (i) the mathematical construction of IT-SNAPS, (ii) demonstration of IT-SNAPS on a heterogenous texture image, and (iii) a performance comparison with the popular existing technique of intelligent scissors.

Original languageEnglish
Title of host publication2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings
Pages129-132
Number of pages4
DOIs
StatePublished - 2010
Event2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Austin, TX, United States
Duration: May 23 2010May 25 2010

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Conference

Conference2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010
Country/TerritoryUnited States
CityAustin, TX
Period05/23/1005/25/10

Keywords

  • IT-SNAPS
  • Interactive texture segmentation

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