Title :
Symmetric wavelet edge detector of the minimum length
Author :
Sun, Mingui ; Sclabassi, Robert J.
Author_Institution :
Dept. of Neurology, Pittsburgh Univ., PA, USA
Abstract :
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
Keywords :
digital filters; edge detection; minimisation; roundoff errors; wavelet transforms; computational cost; digital filters; edge localization; images; infinite support; minimum length; symmetric wavelet edge detector; truncation error; wavelet transform; Computational efficiency; Detectors; Digital filters; Finite wordlength effects; Image edge detection; Image resolution; Neurosurgery; Sun; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537443
