Robust regression methods for computer vision: a review
International Journal of Computer Vision
Some shape definitions in fuzzy geometry of space
Pattern Recognition Letters
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Fuzzy plane projective geometry
Fuzzy Sets and Systems
Pattern Recognition Letters
“Geometric properties” of sets of lines
Pattern Recognition Letters
Machine vision
Blood Vessel Detection in Retinal Images by Shape-Based Multi-threshold Probing
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
| Hi-index | 0.00 |
This work considers the problem of discovering areas of convergence of line-like shapes in an image. The motivating application is to use the convergence of the blood vessel network to automatically locate the optic nerve in an ocular fundus image. A fuzzy segment model is proposed, based on a conjecture that line-like shapes only contribute to a perception of convergence in their near neighborhood. Using this model, a votingtype method is described to compute a convergence image, which can be searched for one absolute, or one or more relative, strongest points of convergence. Results are presented for twenty ocular fundus images, with a 65% success rate for finding the optic nerve.