Open AccessApplication of Haar-Gaussian wavelet transform to edge-detection
Author(s) -
Feijun Song,
Wenyi Zhao,
Suganda Jutamulia,
Song Jian-Li,
Yao Si-Yi,
Dong Wang
Publication year - 2003
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.52.3055
Subject(s) - haar , computer science , haar wavelet , discrete wavelet transform , gaussian , wavelet transform , enhanced data rates for gsm evolution , artificial intelligence , pattern recognition (psychology) , wavelet , physics , quantum mechanics
The Haar-Gaussian wavelet transform is applied to analyze the pattern edges in the frequency domain and to establish a physical model for the edge detection. The bandwidth-matching algorithm is proposed. A telecentric optics is used to achieve a high-precision edge detection results with large-depth of focus.