NDLI: Fast approximate Random Walker segmentation using eigenvector precomputation

Content Provider	IEEE Xplore Digital Library
Author	Grady, L. Sinop, A.K.
Copyright Year	2008
Description	Author affiliation: Siemens Corp. Res., Princeton, NJ (Grady, L.)
Abstract	Interactive segmentation is often performed on images that have been stored on disk (e.g., a medical image server) for some time prior to user interaction. We propose to use this time to perform an offline precomputation of the segmentation prior to user interaction that significantly decreases the amount of user time necessary to produce a segmentation. Knowing how to effectively precompute the segmentation prior to user interaction is difficult, since a user may choose to guide the segmentation algorithm to segment any object (or multiple objects) in the image. Consequently, precomputation performed prior to user interaction must be performed without any knowledge of the user interaction. Specifically, we show that one may precompute several eigenvectors of the weighted Laplacian matrix of a graph and use this information to produce a linear-time approximation of the Random Walker segmentation algorithm, even without knowing where the foreground/background seeds will be placed. Finally, we also show that this procedure may be interpreted as a seeded (interactive) Normalized Cuts algorithm.
Starting Page	1
Ending Page	8
File Size	3940684
Page Count	8
File Format	PDF
ISBN	9781424422425
ISSN	10636919
DOI	10.1109/CVPR.2008.4587487
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Laplace equations Biomedical imaging Labeling Computer vision Approximation algorithms Clustering algorithms Linear approximation Active contours Level set
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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