Morphological corner detector using paired triangular structuring elements

被引:24
作者
Sobania, A [1 ]
Evans, JPO [1 ]
机构
[1] Nottingham Trent Univ, Sch Comp & Informat, Vis Syst Grp, Nottingham NG1 4BU, England
基金
英国工程与自然科学研究理事会;
关键词
corner detection; mathematical morphology; feature extraction; stereoscopic; dual-energy X-ray;
D O I
10.1016/j.patcog.2004.10.009
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 corner detection from segmented areas using mathematical morphology employing paired triangular structuring elements. The algorithm identified as TriSE02 detects the inner corners of a segmented area and stores information regarding each corner's angular orientation and position. The theoretical development of this detector together with its empirical performance is established in a test utilising standard template images. Seven other established corner detectors were also tested to provide comparative performance information. This work was originally developed to identify conjugate corners in stereoscopic dual-energy X-ray images produced by an experimental system for aviation security screening. The oversensitivity exhibited by the established detectors when applied to the dual-energy X-ray images has been significantly improved upon by the new detector. Also, the careful development of the default parameterisation has resulted in a flexible approach, which is suitable for different image types and formats. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1087 / 1098
页数:12
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