5 March 2008 Improved corner detection algorithm based on SUSAN principle
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Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 66230R (2008) https://doi.org/10.1117/12.791417
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China
Abstract
An improved corner detection algorithm based on SUSAN principle is proposed. Because SUSAN operator is hard to distinguish the corner from some special points on the digital image edges, a double template is constructed. It extracts potential corners by SUSAN operator and then decides the accurate location of corners by a 5×5 template. Meanwhile, an adaptive selection of gray threshold t is proposed on the basis of the local gray discreteness of pixel. The experiment results show that the improved algorithm further raises the accuracy of corner detection and is more suitable for application in digital image processing.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Desen Yin, Desen Yin, Yuejin Zhao, Yuejin Zhao, Bin Wang, Bin Wang, Qian Song, Qian Song, Rongrong Cheng, Rongrong Cheng, } "Improved corner detection algorithm based on SUSAN principle", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66230R (5 March 2008); doi: 10.1117/12.791417; https://doi.org/10.1117/12.791417
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