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Proceedings Paper

Improved wavelet-based multiresolution edge detection in noisy images
Author(s): Yunwoo Lee; Samuel Peter Kozaitis
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Paper Abstract

We used the multiresolution property of the discrete wavelet transform to detect edges in noisy images. In our approach, we used wavelets corresponding to 1st and 2nd derivatives to generate noisy wavelet coefficients. Then, we compared the wavelet coefficients as a function of scale to reduce the effects of noise. In addition, our approach considered the change in edge position as a function of scale. We analyzed 1D experimental result and compared 2D results of noisy images to a more common edge detection method. Our results lead to improved edge detection result in noisy images.

Paper Details

Date Published: 21 July 1999
PDF: 9 pages
Proc. SPIE 3716, Visual Information Processing VIII, (21 July 1999); doi: 10.1117/12.354706
Show Author Affiliations
Yunwoo Lee, Florida Institute of Technology (United States)
Samuel Peter Kozaitis, Florida Institute of Technology (United States)

Published in SPIE Proceedings Vol. 3716:
Visual Information Processing VIII
Stephen K. Park; Richard D. Juday, Editor(s)

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