logo Idiap Research Institute        
 [BibTeX] [Marc21]
Vessel Segmentation and Branching Detection using an Adaptive Profile Kalman Filter in Retinal Blood Vessel Structure Analysis
Type of publication: Idiap-RR
Citation: quelhas03a
Number: Idiap-RR-58-2003
Year: 2003
Institution: IDIAP
Note: Published in IbPria 2003, LNCS, V.2652 / 2003, p.802-809
Abstract: This report 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},
Keywords:
Projects Idiap
Authors Quelhas, Pedro
Boyce, James
Crossref by quelhas03b
Added by: [UNK]
Total mark: 0
Attachments
  • rr03-58.pdf
  • rr03-58.ps.gz
Notes