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Abstract

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

Published in

Title: Proceedings of SSBA 2009

Conference

SSBA 2009, Symposium on Image Analysis

SLU Authors

  • Malmberg, Filip

    • Centre for Image Analysis, Swedish University of Agricultural Sciences
  • Nyström, Ingela

    • Centre for Image Analysis, Swedish University of Agricultural Sciences

UKÄ Subject classification

Computer graphics and computer vision

Publication identifier

  • ISBN: 978-91-633-3924-0

Permanent link to this page (URI)

https://res.slu.se/id/publ/27356