NONPARAMETRIC SEGMENTATION OF CURVES INTO VARIOUS REPRESENTATIONS

被引：131

作者：

ROSIN, PL ^{[1
]}

WEST, GAW ^{[1
]}

机构：

[1] CURTIN UNIV TECHNOL,SCH COMP,PERTH,WA 6001,AUSTRALIA

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1995年 / 17卷 / 12期

关键词：

2D; 3D; CURVE REPRESENTATION; SEGMENTATION; CIRCULAR; ELLIPTIC; SUPERELLIPTICAL; PARABOLIC ARCS; LEAST SQUARE ELLIPSE FITTING; MULTISTAGE; SIGNIFICANCE; NONPARAMETRIC;

D O I：

10.1109/34.476507

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 arts, and polynomials. The algorithm has a number of interesting properties including being scale invariant, nonparametric, general purpose, and efficient.

引用

页码：1140 / 1153

页数：14

共 65 条

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