Corner detection method based on wavelet transform
Xiaoming Peng, Chengping Zhou, Mingyue Ding · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
Corner point is one of the most important feature points in computer vision and pattern recognition. In this paper we introduce a new boundary-based corner detection method using wavelet transform for its ability for detecting sharp variations. Our idea is derived from Jiann-Shu Lee et al.'s algorithm, but, unlike them, we represent the orientation profile in an almost continuous way. Theoretical analysis and experimental results show that our method is effective in detecting corners.