Title :
Nonparametric segmentation of curves into various representations
Author :
Rosin, Paul L. ; West, Geoff A W
Author_Institution :
Dept. of Comput. Sci. & Inf. Syst., Brunel Univ., Uxbridge, UK
fDate :
12/1/1995 12:00:00 AM
Abstract :
This paper describes and demonstrates the operation and performance of an algorithm for segmenting connected points into a combination of representations such as lines, circular, elliptical and superelliptical arcs, and polynomials. The algorithm has a number of interesting properties including being scale invariant, nonparametric, general purpose, and efficient
Keywords :
computer vision; curve fitting; edge detection; feature extraction; polynomials; circular arcs; elliptical arcs; lines; nonparametric segmentation; polynomials; scale invariance; superelliptical arcs; Application software; Computer vision; Curve fitting; Data mining; Image edge detection; Image segmentation; Impedance matching; Joining processes; Polynomials; Surface fitting;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
