使用小波變換的圖象邊緣檢測算法
AN IMAGE EDGE DETECTION ALGORITHM BASED ON THE WAVELET TRANSFORM
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摘要: 將小波變換理論應用于圖象邊緣提取,提出了一種新的圖象邊緣檢測算法。一種相對于(c0,c3)=(0.05,0.05)的對稱尺度函數(shù)被用于二進小波變換,得到原圖象的一個多分辨率表達式,再提取圖象的邊緣特征。實驗結果表明,本方法是解決圖象邊緣提取的一個十分有效的模型。
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關鍵詞:
- 小波變換; 多尺度; 圖象邊緣; 檢測
Abstract: 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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