Proceedings of SPIE - the International Society for Optical Engineering
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.
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.