DocumentCode :
2627535
Title :
A hierarchical approach to high resolution edge contour reconstruction
Author :
Casadei, Stefano ; Mitter, Sanjoy K.
Author_Institution :
MIT, Cambridge, MA, USA
fYear :
1996
fDate :
18-20 Jun 1996
Firstpage :
149
Lastpage :
154
Abstract :
Efficient edge detection algorithms such as Canny´s (1986) fail near curve singularities. Moreover, the standard linking algorithms used on top of these detectors often fail because of instabilities in the tracking process (due to multiple responses to the same edge and interference of nearby edges). We propose a hierarchical approach to edge detection based on a graph stabilization method that allows bifurcation resolution in stages. Curve singularities are recovered at the last stage by using “top-down” feedback to select the best curve connections
Keywords :
bifurcation; edge detection; image reconstruction; bifurcation resolution; curve singularities; graph stabilization method; hierarchical approach; high resolution edge contour reconstruction; standard linking algorithms; tracking process; Bifurcation; Brightness; Detectors; Feedback; Filtering; Image edge detection; Image reconstruction; Interference; Joining processes; Military computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
Conference_Location :
San Francisco, CA
ISSN :
1063-6919
Print_ISBN :
0-8186-7259-5
Type :
conf
DOI :
10.1109/CVPR.1996.517067
Filename :
517067
Link To Document :
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