21 July 1999 Improved wavelet-based multiresolution edge detection in noisy images
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We used the multiresolution property of the discrete wavelet transform to detect edges in noisy images. In our approach, we used wavelets corresponding to 1st and 2nd 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 1D experimental result and compared 2D results of noisy images to a more common edge detection method. Our results lead to improved edge detection result in noisy images.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yunwoo Lee, Yunwoo Lee, Samuel Peter Kozaitis, Samuel Peter Kozaitis, } "Improved wavelet-based multiresolution edge detection in noisy images", Proc. SPIE 3716, Visual Information Processing VIII, (21 July 1999); doi: 10.1117/12.354706; https://doi.org/10.1117/12.354706

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