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