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 [BibTeX] [Marc21]
Vessel Segmentation and Branching Detection using an Adaptive Profile Kalman Filter in Retinal Blood Vessel Structure Analysis
Type of publication: Conference paper
Citation: quelhas03b
Booktitle: Pattern Recognition and Image Analysis: First Iberian Conference, IbPRIA 2003, Springer-Verlag LNCS
Volume: 2652
Year: 2003
Month: 6
Note: IDIAP-RR 03-58
Crossref: quelhas03a:
Abstract: This paper presents an improved tracking based method for retinal vessel segmentation that uses blood vessel morphology to adapt the tracking parameters. The method includes branching detection and avoidance methods. A bi-level threshold method, based on local vessel information, is used for segmentation. Tracking is based on Kalman filtering. The results are compared with existing ground truth. It is concluded that ground truth segmentation is not easily comparable.
Userfields: ipdmembership={vision},
Projects Idiap
Authors Quelhas, Pedro
Boyce, James
Added by: [UNK]
Total mark: 0
  • quelhas_IbPria03.ps.gz