Measuring corner properties

被引:268
作者
Rosin, PL
机构
[1] Dept. of Info. Systems and Computing, Brunel University, Middlesex
关键词
D O I
10.1006/cviu.1998.0719
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We describe methods to measure the following properties of gray level corners: subtended angle, orientation, contrast, bluntness (or rounding of the apex), and boundary curvature (for cusps). Unlike most of the published methods for extracting these properties these new methods are relatively simple, efficient, and robust. They rely on the corner being predetected by a standard operator, thus making the measurement problem more tractable. Using 13,000 synthetic images the methods are assessed over a range of conditions: corners of varying orientations and subtended angles, as well as different degrees of noise. (C) 1999 Academic Press.
引用
收藏
页码:291 / 307
页数:17
相关论文
共 22 条