DocumentCode
597938
Title
A scale-space technique for polygonal approximation of planar curves
Author
Ying Wang ; Baojiang Zhong
Author_Institution
Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou, China
fYear
2012
fDate
Sept. 30 2012-Oct. 3 2012
Firstpage
517
Lastpage
520
Abstract
A novel technique is proposed for polygonal approximation of planar curves under a given maximum of approximation error and with a given initial vertex. Different to the existing techniques in this field, which usually accept a fixed error, the proposed technique uses a flexible acceptable error to obtain the approximate polygon. This idea is based on a scale-space concept in computer vision. It can not only ensure the error between the original and approximated curves is no lager than the maximal acceptable error, but also make the description of the detail information of the curve more precise without significant loss. Experiments are conducted to compare the new technique with the existing error-fixed techniques.
Keywords
approximation theory; curve fitting; error analysis; acceptable error; approximation error; computer vision; error-fixed technique; planar curve; polygonal approximation; scale-space concept; scale-space technique; Approximation algorithms; Approximation error; Cascading style sheets; Nickel; Shape; Vectors; Planar curves; flexible error; polygonal approximation; scale-space;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1522-4880
Print_ISBN
978-1-4673-2534-9
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2012.6466910
Filename
6466910
Link To Document