Definition of a model-based detector of curvilinear regions
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Detection and matching of curvilinear structures
Pattern Recognition
Reducing aliasing in images: a PDE-based diffusion revisited
Pattern Recognition
Unbiased extraction of lines with parabolic and Gaussian profiles
Computer Vision and Image Understanding
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An optimal line detector for the one-dimensional case is derived from Canny's criteria. The detector is extended to the two-dimensional case by operating separately in the x and y directions. An efficient implementation using an infinite impulse response (IIR) filter is provided. This implementation has an additional advantage that increasing the filter scale affects neither temporal nor spatial complexity. Our detector is faster than Gaussian used by Steger; e.g., when the scale is three our detector is 33 times faster. Experimental results using real images demonstrate the validity of the algorithm.