Morphological corner detector using paired triangular structuring elements

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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.

论文关键词:Corner detection,Mathematical morphology,Feature extraction,Stereoscopic,Dual-energy X-ray

论文评审过程:Received 1 May 2003, Revised 30 September 2004, Accepted 18 October 2004, Available online 17 March 2005.

论文官网地址:https://doi.org/10.1016/j.patcog.2004.10.009