EDGE-DETECTION BY REGULARIZED CUBIC B-SPLINE FITTING

被引：35
作者：
CHEN, G
YANG, YHH
机构：
[1] Computer Vision Laboratory, Department of Computational Science, University of Saskatchewan, Saskatoon, Saskatchewan
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS | 1995年 / 25卷 / 04期
基金：
加拿大自然科学与工程研究理事会;
关键词：
D O I：
10.1109/21.370194
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, regularized cubic B-spline fitting (RCBS), a technique which combines conventional cubic B-splines with regularization techniques, is proposed for the detection of edges. In addition, a quantitative performance evaluation model, called the false-detected to correct-detected ratio (FCR) model, is proposed for the evaluation of edge detectors. The FCR model attempts tb provide a common ground for the quantitative performance evaluation and comparison between different edge detection schemes. The experimental results using the FCR model show that the RCBS operator is superior with respect to noise immunity and localization in comparison with two commonly used operators: the Sobel operator and Haralick's bivariate cubic polynomial operator.
引用
收藏
页码：636 / 643
页数：8
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