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Proceedings Paper

Research of edge detection algorithm based on wavelet transformation
Author(s): Fanxing Kong
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Paper Abstract

According to the evaluation criteria of edge detection, for the design needs of the best edge filter, selection rule of wavelet basis for edge detection is determined. And in this paper multi-scale local modulus maximum of wavelet is used for edge detection; while for threshold selection, block adaptive method is used. In contrast to conventional modulus maximum edge detection method, the improved algorithm can achieve better edge detection effect while suppressing noise.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100331H (29 August 2016); doi: 10.1117/12.2244476
Show Author Affiliations
Fanxing Kong, Lin Yi Univ. (China)

Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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