DocumentCode
2632942
Title
Interactive texture segmentation via IT-SNAPS
Author
Gururajan, Arunkumar ; Sari-Sarraf, Hamed ; Hequet, Eric
Author_Institution
Texas Tech Univ., Lubbock, TX, USA
fYear
2010
fDate
23-25 May 2010
Firstpage
129
Lastpage
132
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 IT-SNAPS 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.
Keywords
Application software; Computer displays; Computer vision; Cost function; Data mining; Fasteners; Image segmentation; Joining processes; Mice; Pixel; IT-SNAPS; Interactive Texture Segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis & Interpretation (SSIAI), 2010 IEEE Southwest Symposium on
Conference_Location
Austin, TX, USA
Print_ISBN
978-1-4244-7801-9
Type
conf
DOI
10.1109/SSIAI.2010.5483900
Filename
5483900
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