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Optical Engineering

Multiresolution gradient-based edge detection in noisy images using wavelet domain filters
Author(s): Yunwoo Lee; Samuel Peter Kozaitis
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Paper Abstract

We detected edges in noisy images using multiresolution analysis with the wavelet transform. products of wavelet coefficients at several scales were used to identify and locate edges. We found that it was important to consider the changes in edge position at different scales to detect edges in noisy imagery. We analyzed one-dimensional edges and compared the results of our approach with the first derivative of the signal. In addition, we compared the results of noisy images with another wavelet-based edge detection method. Our results led to improved edge detection in noisy images.

Paper Details

Date Published: 1 September 2000
PDF: 8 pages
Opt. Eng. 39(9) doi: 10.1117/1.1287992
Published in: Optical Engineering Volume 39, Issue 9
Show Author Affiliations
Yunwoo Lee, Florida Institute of Technology (United States)
Samuel Peter Kozaitis, Florida Institute of Technology (United States)


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