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