A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Line detection using an optimal IIR filter
Pattern Recognition
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
Automatic extraction of roads from aerial images based on scale space and snakes
Machine Vision and Applications
Coherence-Enhancing Diffusion Filtering
International Journal of Computer Vision
Fast Anisotropic Gauss Filtering
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Thin Nets Extraction Using a Multi-scale Approach
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
A review of vessel extraction techniques and algorithms
ACM Computing Surveys (CSUR)
Fast Anisotropic Smoothing of Multi-Valued Images using Curvature-Preserving PDE's
International Journal of Computer Vision
Extracting Lines in Noisy Image Using Directional Information
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Old and new straight-line detectors: Description and comparison
Pattern Recognition
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In this paper we propose a new ridge/valley detection method in images based on the difference of rotating Gaussian semi filters. The novelty of this approach resides in the mixing of ideas coming both from directional filters and DoG method. We obtain a new ridge/valley anisotropic DoG detector enabling very precise detection of ridge/valley points. Moreover, this detector performs correctly at crest lines even if highly bended, and is precise on junctions. This detector has been tested successfully on various image types presenting difficult problems for classical ridges/valleys detection methods.