Scale-Space for Discrete Signals
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Unbiased Detector of Curvilinear Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
4D reconstruction of coronary arteries from monoplane angiograms
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
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In this paper we extend the Frangi filter[1] to recognize edges and do not enhance them. We give a theoretical framework for optimal scale selection and choice of the free parameters. We discuss discretization details concerning especially the discrete kernel used for building the scale-space and the choice of discrete scales. We present several experiments on phantom data to objectively and quantitatively compare and judge the filters. Experiments on real coronary angiograms enhance the improvement reached by the integration of the edge indicator.