Document Type

Conference Proceeding

Publication Title

Proceedings of SPIE - the International Society for Optical Engineering

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 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.

First Page

185

Last Page

193

DOI

10.1117/12.354706

Publication Date

7-21-1999

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