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Extraction of Tubular Structures over an Orientation Domain

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Date
2009-06-26
Link to item file
http://hal.archives-ouvertes.fr/hal-00365599/en/
Dewey
Traitement du signal
Sujet
geodesics; networks; fast marching; medical imaging; vessels; Centerlines
Conference name
IEEE Conference on Computer Vision and Pattern Recognition (CVPR'09)
Conference date
06-2009
Conference city
Miami (Floride)
Conference country
États-Unis
Book title
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 20-25 June 2009, Miami, Florida, USA. Proceedings
Publisher
IEEE
Year
2009
ISBN
978-1-4244-3992-8
URI
https://basepub.dauphine.fr/handle/123456789/492
Collections
  • CEREMADE : Publications
Metadata
Show full item record
Author
Keriven, Renaud
Peyré, Gabriel
Péchaud, Mickaël
Type
Communication / Conférence
Item number of pages
336-342
Abstract (EN)
This paper presents a new method to extract tubular structures from bi-dimensional images. The core of the proposed algorithm is the computation of geodesic curves over a four-dimensional space that includes local orientation and scale. These shortest paths follow closely the centerline of tubular structures, provide an estimation of the radius and can deal robustly with crossings over the image plane. Numerical experiments on a database of synthetic and natural images show the superiority of the proposed approach with respect to several method based on shortest paths extractions.

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