DocumentCode :
305682
Title :
Automated path segmentation for 2-dimensional vectorised data
Author :
Wong, Yew Kee ; Poliakoff, Janet F. ; Thomas, Peter D. ; Sherkat, Nasser
Author_Institution :
Dept. of Comput., Nottingham Univ., UK
Volume :
1
fYear :
1996
fDate :
14-17 Oct 1996
Firstpage :
406
Abstract :
Effective identification of breakpoints from a given set of vectorised data is a crucial step in converting data from a scanner for use with a CAD/CAM system. In this paper we present our spline-based breakpoint detection algorithm, which is used to segment the vectorised data into straight and curved sections prior to curve fitting. Initial tests show that very satisfactory representations are generated, even for complex shapes. Only two parameters are required namely the tolerance δ for the deviation of the curve from the vectorised data and the maximum length L for a vector which may be included in a curve
Keywords :
CAD/CAM; curve fitting; image segmentation; splines (mathematics); 2-dimensional vectorised data; CAD/CAM system; automated path segmentation; curve fitting; spline-based breakpoint detection algorithm; CADCAM; Computer aided manufacturing; Concurrent computing; Curve fitting; Design automation; Detection algorithms; Displays; Shape; Spline; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
ISSN :
1062-922X
Print_ISBN :
0-7803-3280-6
Type :
conf
DOI :
10.1109/ICSMC.1996.569806
Filename :
569806
Link To Document :
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