Title :
Finding junctions using the image gradient
Author :
Beymer, David J.
Author_Institution :
Artificial Intelligence Lab., MIT, Cambridge, MA, USA
Abstract :
The author proposes a junction detector that works by filling in gaps at junctions in edge maps. It uses the image gradient to guide extensions of disconnected edges at junctions. A novel representation for the gradient, the bow tie map, is used to implement the endpoint growing rules, which include following gradient ridges and using saddle points in the gradient magnitude. The authors demonstrate the junction detector on real imagery
Keywords :
pattern recognition; picture processing; bow tie map; disconnected edges; edge maps; endpoint growing rules; following gradient ridges; gradient magnitude; image gradient; junction detector; saddle points; Artificial intelligence; Computer vision; Detectors; Image edge detection; Imaging phantoms; Laboratories; Machine vision; Optical filters; Optical noise; Smoothing methods;
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-8186-2148-6
DOI :
10.1109/CVPR.1991.139798