Image Foresting Transform: On-the-fly Computation of Segmentation Boundaries
2011 (English)In: Image Analysis: 17th Scandinavian Conference, SCIA 2011, Springer , 2011Conference paper (Refereed)
The Image Foresting Transform (IFT) is a framework for seeded image segmentation, based on the computation of minimal cost paths in a discrete representation of an image. In two recent publications, we have shown that the segmentations obtained by the IFT may be improved by refining the segmentation locally around the boundariesbetween segmented regions. Since these methods operate on a small subset of the image elements only, they may be implemented efficiently if the set of boundary elements is known. Here, we show that this set maybe obtained on-the-fly, at virtually no additional cost, as a by-product of the IFT algorithm.
Place, publisher, year, edition, pages
Springer , 2011.
, Lecture notes in computer science
Computer Vision and Robotics (Autonomous Systems)
Research subject Computerized Image Analysis; Computerized Image Processing
IdentifiersURN: urn:nbn:se:uu:diva-149260OAI: oai:DiVA.org:uu-149260DiVA: diva2:404333