Vessel Segmentation and Branching Detection using an Adaptive Profile Kalman Filter in Retinal Blood Vessel Structure Analysis

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.


Published in:
Pattern Recognition and Image Analysis: First Iberian Conference, IbPRIA 2003, Springer-Verlag LNCS, 2652, 802 - 809
Presented at:
Pattern Recognition and Image Analysis: First Iberian Conference, IbPRIA 2003, Springer-Verlag LNCS
Year:
2003
Keywords:
Note:
IDIAP-RR 03-58
Laboratories:




 Record created 2006-03-10, last modified 2018-03-17

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