Sub-pixel Segmentation with the Image Foresting Transform
2009 (English)In: Proceedings of International Workshop on Combinatorial Image Analysis: IWCIA 2009, Springer , 2009, 201-211 p.Conference paper (Refereed)
The Image Foresting Transform (IFT) is a framework forimage partitioning, commonly used for interactive segmentation. Givenan image where a subset of the image elements (seed-points) have beenassigned user-defined labels, the IFT completes the labeling by computingminimal cost paths from all image elements to the seed-points. Eachimage element is then given the same label as the closest seed-point. Inits original form, the IFT produces crisp segmentations, i.e., each imageelement is assigned the label of exactly one seed-point. Here, we proposea modified version of the IFT that computes region boundaries withsub-pixel precision by allowing mixed labels at region boundaries. Wedemonstrate that the proposed sub-pixel IFT allows properties of thesegmented object to be measured with higher precision.
Place, publisher, year, edition, pages
Springer , 2009. 201-211 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 5852
Image foresting transform, Interactive image segmentation, Sub-pixel precision
Computer Vision and Robotics (Autonomous Systems)
Research subject Computerized Image Analysis
IdentifiersURN: urn:nbn:se:uu:diva-111261DOI: 10.1007/978-3-642-10210-3_16ISBN: 978-3-642-10208-0OAI: oai:DiVA.org:uu-111261DiVA: diva2:280148