Application of Haar-Gaussian wavelet transform to edge-detection | Zendy

Feijun Song | Zendy; Wenjie Zhao | Zendy; Suganda Jutamulia | Zendy; Jian-li Song | Zendy; Siyi Yao | Zendy; Dong Wang | Zendy

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Application of Haar-Gaussian wavelet transform to edge-detection

Author(s) -

Feijun Song,

Wenjie Zhao,

Suganda Jutamulia,

Jian-li Song,

Siyi Yao,

Dong Wang

Publication year - 2003

Publication title -

acta physica sinica

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.

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