Corner detection method based on wavelet transform

Xiaoming Peng; Chengping Zhou; Mingyue Ding

doi:10.1117/12.441480

21 September 2001 Corner detection method based on wavelet transform

Xiaoming Peng, Chengping Zhou, Mingyue Ding

Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001) https://doi.org/10.1117/12.441480
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

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.

Citation Download Citation

Xiaoming Peng, Chengping Zhou, and Mingyue Ding "Corner detection method based on wavelet transform", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); https://doi.org/10.1117/12.441480

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