Proceedings Paper
Corner detection method based on wavelet transform| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 21 September 2001
PDF: 5 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441480
Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition
Tianxu Zhang; Bir Bhanu; Ning Shu, Editor(s)
PDF: 5 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441480
Show Author Affiliations
Xiaoming Peng, Huazhong Univ. of Science and Technology (China)
Chengping Zhou, Huazhong Univ. of Science and Technology (China)
Chengping Zhou, Huazhong Univ. of Science and Technology (China)
Mingyue Ding, Huazhong Univ. of Science and Technology (Canada)
Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition
Tianxu Zhang; Bir Bhanu; Ning Shu, Editor(s)
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