Xie Mei, Gu Deren. AN IMAGE EDGE DETECTION ALGORITHM BASED ON THE WAVELET TRANSFORM[J]. Journal of Electronics & Information Technology, 1997, 19(2): 173-176.
Citation:
Xie Mei, Gu Deren. AN IMAGE EDGE DETECTION ALGORITHM BASED ON THE WAVELET TRANSFORM[J]. Journal of Electronics & Information Technology, 1997, 19(2): 173-176.
Xie Mei, Gu Deren. AN IMAGE EDGE DETECTION ALGORITHM BASED ON THE WAVELET TRANSFORM[J]. Journal of Electronics & Information Technology, 1997, 19(2): 173-176.
Citation:
Xie Mei, Gu Deren. AN IMAGE EDGE DETECTION ALGORITHM BASED ON THE WAVELET TRANSFORM[J]. Journal of Electronics & Information Technology, 1997, 19(2): 173-176.
A new image edge detection algorithm which utilizes the wavelet transform theory is proposed. A symmetric scaling function corresponding to (c0,c3) = (0.05,0.05) is used to perform the dyadic wavelet transform. The authors get a multiresolution image strategy and extract edges. Experimental results show that the algorithm is adaptive and capable for dealing with an image edge.
Mallat S, Zhong S. Characterization of signals from multiscale edges. IEEE Trans. on PAMI, 1992, PAMI-14(7): 710-732.[2]Mallat S, Hwang W L. Singularity detection and processing with wavelets. IEEE Trans. on IT, 1992, IT-38(2): 617-643.[3]Mallat S, Zhong S. Complete Signal Representations with Multiscale Edges, Computer Science Tech. Report No. 483, Courant Institute of Mathematical Sciences, New York University, November, 1989.
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