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dc.contributor.authorLee, Yunwoo
dc.contributor.authorKozatis, Samuel Peter
dc.date.accessioned2017-10-04T19:44:42Z
dc.date.available2017-10-04T19:44:42Z
dc.date.issued1999-07-21
dc.identifier.citationLee, Y., & Kozaitis, S. P. (1999). Improved wavelet-based multiresolution edge detection in noisy images. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 3716 185-193.en_US
dc.identifier.urihttp://hdl.handle.net/11141/1741
dc.descriptionedge detection, multiresolution, wavelet transformen_US
dc.description.abstractWe used the multiresolution property of the discrete wavelet transform to detect edges in noisy images. In our approach, we used wavelets corresponding to 1 and 2 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 l..D experimental results and compar1 2..D results ofnoisy images to a more common edge detection method. Our results lead to improved edge detection resutts 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. © (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleImproved wavelet-based multiresolution edge detection in noisy imagesen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.354706


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