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Author Chao Chen ♦ Freedman, D. ♦ Lampert, C.H.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Image segmentation ♦ Topology ♦ Robustness ♦ Minimization ♦ Labeling ♦ Noise ♦ Joining processes
Abstract We introduce TopoCut: a new way to integrate knowledge about topological properties (TPs) into random field image segmentation model. Instead of including TPs as additional constraints during minimization of the energy function, we devise an efficient algorithm for modifying the unary potentials such that the resulting segmentation is guaranteed with the desired properties. Our method is more flexible in the sense that it handles more topology constraints than previous methods, which were only able to enforce pairwise or global connectivity. In particular, our method is very fast, making it for the first time possible to enforce global topological properties in practical image segmentation tasks.
Description Author affiliation: IST Austria (Institute of Science and Technology Austria) & PRIP, Vienna University of Technology, Austria (Chao Chen) || IST Austria (Institute of Science and Technology Austria) (Lampert, C.H.) || School of Engineering, Bar Ilan University, Ramat Gan, Israel (Freedman, D.)
ISBN 9781457703942
ISSN 10636919
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-06-20
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781457703959
Size (in Bytes) 2.47 MB
Page Count 8
Starting Page 2089
Ending Page 2096

Source: IEEE Xplore Digital Library