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dc.contributor.authorLee, Yunwoo
dc.contributor.authorKozaitis, S.P.
dc.date.accessioned2017-10-06T18:15:54Z
dc.date.available2017-10-06T18:15:54Z
dc.date.issued2000-09-01
dc.identifier.citationLee, Y., & Kozaitis, S. P. (2000). Multiresolution gradient-based edge detection in noisy images using wavelet domain filters. Optical Engineering, 39(9), 2405-2412.en_US
dc.identifier.urihttp://hdl.handle.net/11141/1836
dc.descriptionAlgorithms, Approximation theory, High pass filters, Integral equations, Low pass filters, Signal to noise ratio, Wavelet transformsen_US
dc.description.abstractWe 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.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law. © 2016, SPIE. All rights reserved.en_US
dc.rights.urihttps://www.spiedigitallibrary.org/journals/optical-engineering/author-guidelinesen_US
dc.titleMultiresolution gradient-based edge detection in noisy images using wavelet domain filtersen_US
dc.title.alternativeMultiresolution gradient-based edge detection in noisy images using wavelet domain filtersen_US
dc.typeArticleen_US
dc.identifier.doi10.1117/1.1287992


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