DocumentCode :
2238800
Title :
Constrained contouring in polar coordinates
Author :
Revankar, Shriram ; Sher, David
Author_Institution :
XEROX Corp., Webster, NY, USA
fYear :
1993
fDate :
15-17 Jun 1993
Firstpage :
688
Lastpage :
689
Abstract :
A constrained contour is an outline of a region of interest, obtained by linking the possible edge points under the constraints of connectivity, smoothness, image context, and an externally specified approximate contour. A constrained contouring algorithm in polar coordinates that traces closed contours using their rough approximations is discussed. A set of locally optimal contour locations (LOCLs) is found in all the selected radial directions by analyzing the image features and the external constraints. A graph search based algorithm is used to select a smooth contour that passes through the maximum number of LOCLs
Keywords :
edge detection; graph theory; image processing; optimisation; search problems; connectivity; constrained contour; edge detection; graph search; image context; image features; image processing; locally optimal contour locations; polar coordinates; rough approximations; smoothness; Algorithm design and analysis; Brightness; Deformable models; Humans; Image analysis; Image motion analysis; Joining processes; Motion analysis; Shape; Shearing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
ISSN :
1063-6919
Print_ISBN :
0-8186-3880-X
Type :
conf
DOI :
10.1109/CVPR.1993.341026
Filename :
341026
Link To Document :
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