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Proceedings Paper

Application of wavelet transformation in image edge extraction
Author(s): Wenjun Zhang; Dong Miao; Guangyuan Fu
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Paper Abstract

Wavelet transform is a new and good image processing method that well separates different frequency components of an image. This paper mainly discuses image edge detection with the band-pass filtering property of wavelet transformation. After wavelet transforming and edge extracting, an image can be clearly seen in detail. Compared with other image edge extraction methods, such as Roberts operator, Laplacian operator, Sobel operator and Kirsch operator, this method has good extraction effect and is suitable to binary process. This is very useful to medical diagnose and remote sense image recognition.

Paper Details

Date Published: 14 September 2001
PDF: 4 pages
Proc. SPIE 4414, International Conference on Sensor Technology (ISTC 2001), (14 September 2001); doi: 10.1117/12.440133
Show Author Affiliations
Wenjun Zhang, Second Artillery Engineering Institute (China)
Dong Miao, Second Artillery Engineering Institute (China)
Guangyuan Fu, Second Artillery Engineering Institute (China)

Published in SPIE Proceedings Vol. 4414:
International Conference on Sensor Technology (ISTC 2001)
Yikai Zhou; Shunqing Xu, Editor(s)

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