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Interactive Segmentation with Relaxed Image Foresting Transforms

Malmberg, Filip (author)
Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Uppsala universitet,Centrum för bildanalys,Datoriserad bildanalys,Centre for Image Analysis
Nyström, Ingela (author)
Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Uppsala universitet,Centrum för bildanalys,Centre for Image Analysis
 (creator_code:org_t)
 
ISBN 9789163339240
2009
2009
English.
In: Proceedings of SSBA 2009. - 9789163339240
  • Conference paper (other academic/artistic)
Abstract Subject headings
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  • The Image Foresting Transform (IFT) is a framework for efficient image partitioning, used in interactive segmentation. We propose a modified version of the IFT, and demonstratethat the modified algorithm is more robust to noise while maintaining computational complexity. We also show an application of the method for interactive segmentation ofback muscles in magnetic resonance images, where seedpoints representing object and background are placed repeatedly until a desired segmentation result is obtained.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)

Keyword

Image analysis
Bildanalys
Datoriserad bildanalys
Computerized Image Analysis

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