Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/58077
Title: Detection and estimation of circular arc segments
Authors: Kah Bin Lim 
Xin, K.
Geok Soon Hong 
Keywords: Circular arc detection
Feature extraction
Goodness-of-fit
Perceptually significant circular arc segment
Point curvature
Scale-space filtering
Issue Date: Jun-1995
Citation: Kah Bin Lim,Xin, K.,Geok Soon Hong (1995-06). Detection and estimation of circular arc segments. Pattern Recognition Letters 16 (6) : 627-636. ScholarBank@NUS Repository.
Abstract: We present a series of algorithms for detecting circular arc segments and estimating their circular centers and radii from planar curves. Scale-space filtering is first used to remove noise and extract curve segments with similar local point curvatures. Arc extending and merging algorithms are then applied to extend and join these segments. Finally, perceptually significant circular arc segments are produced after the arc verification process. © 1995.
Source Title: Pattern Recognition Letters
URI: http://scholarbank.nus.edu.sg/handle/10635/58077
ISSN: 01678655
Appears in Collections:Staff Publications

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