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
Recommended Citation
Lee, 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.