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Image Foresting Tra...
Image Foresting Transform: On-the-fly Computation of Segmentation Boundaries
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- Malmberg, Filip, 1980- (författare)
- Uppsala universitet,Centrum för bildanalys,Bildanalys och människa-datorinteraktion
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(creator_code:org_t)
- Springer, 2011
- 2011
- Engelska.
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Ingår i: Image Analysis: 17th Scandinavian Conference, SCIA 2011. - : Springer.
- Relaterad länk:
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https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- Image analysis
- Bildanalys
- Datoriserad bildanalys
- Computerized Image Analysis
- Computerized Image Processing
- Datoriserad bildbehandling
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)