Unified miulti-scale corner detection

被引:0
作者
Luo, B [1 ]
Pycock, D [1 ]
机构
[1] Univ Birmingham, Birmingham B15 2TT, W Midlands, England
来源
Proceedings of the Fourth IASTED International Conference on Visualization, Imaging, and Image Processing | 2004年
关键词
image processing and analysis; pattern analysis and recognition; corner detection;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We define a universal gradient-based representation for V-, T- and X-type corners. This expression is used to define a corner detector, based on Moments of the Gradient in Scale-space (MoGS). The performance of this operator is compared with that of the Plessey and the Kitchen and Rosenfeld operators. The MoGS operator is shown to have better invariance to scale, to be more reliable and to provide better corner localisation than the other operators. The computation of corner attributes for edge orientation, aperture, contrast, corner type and size is illustrated.
引用
收藏
页码:561 / 565
页数:5
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