A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Theory of discrete and continuous Fourier analysis
Theory of discrete and continuous Fourier analysis
Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In this paper the wavelet-based edge detection problem is investigated. Symmetrical wavelets of infinite support are studied which possess many desirable properties for edge localization in images. A design method for the digital filters that compute the wavelet transform is presented. These filters provide the minimum length under a given truncation error specification. Our method leads to an improved result for edge detection and a reduced computational cost.