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Proceedings Paper

Line detection using wavelet filters
Author(s): Somkait Udomhunsakul; Samuel Peter Kozaitis; U. Sritheeravirojana; A. Khempila
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Paper Abstract

We proposed a new line detection method in noisy images using Mexican hat wavelet filters. In our approach, we applied the wavelet transform in a multiresolution sense by forming the products of wavelet coefficients at the different scales to locate and identify lines at different scales. In addition, we also considered shifting line locations through multiple scales for robust line detection in the presence of noise. We found that our approach leads to an effective method to form the basis of a line detection approach.

Paper Details

Date Published: 25 September 2003
PDF: 5 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538970
Show Author Affiliations
Somkait Udomhunsakul, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Samuel Peter Kozaitis, Florida Institute of Technology (United States)
U. Sritheeravirojana, King Mongkut's Institute of Technology Ladkrabang (Thailand)
A. Khempila, King Mongkut's Institute of Technology Ladkrabang (Thailand)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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