DocumentCode :
2619354
Title :
Finding junctions using the image gradient
Author :
Beymer, David J.
Author_Institution :
Artificial Intelligence Lab., MIT, Cambridge, MA, USA
fYear :
1991
fDate :
3-6 Jun 1991
Firstpage :
720
Lastpage :
721
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
ISSN :
1063-6919
Print_ISBN :
0-8186-2148-6
Type :
conf
DOI :
10.1109/CVPR.1991.139798
Filename :
139798
Link To Document :
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