Study of Edge Detection of Printed Circuit Board Photoelectric Image Based on Multi-Scale Wavelet Transform

2012 ◽  
Vol 542-543 ◽  
pp. 850-853
Author(s):  
Nao Sheng Qiao ◽  
Jing Tang

Aiming at the dark printed circuit board photoelectric image that contains noise acquired by CCD system, the edge detection method by using multi-scale wavelet transform is proposed. Firstly, its basic principle is analyzed in detail, and the simple physics explanation and formula deduction are given. Secondly, the idiographic detection steps are given. Finally, the results of experiment verify the correctness of theory analysis.

2018 ◽  
Vol E101.D (9) ◽  
pp. 2392-2400 ◽  
Author(s):  
Su LIU ◽  
Xingguang GENG ◽  
Yitao ZHANG ◽  
Shaolong ZHANG ◽  
Jun ZHANG ◽  
...  

2008 ◽  
Vol 16 (1) ◽  
Author(s):  
A. Walczak ◽  
L. Puzio

AbstractThe novel two-dimensional (2D) wavelet with anisotropic property and application of it has been presented. Wavelet is constructed in the polar coordinate system to obtain anisotropic properties. A novel edge detection method has been developed with the aid of this wavelet. This method detects gradient jump and than follows along this jump. In this way the number of calculation for edge localization is reduced. Moreover, the presented method is able to detect all edges in an image in multi-scale together with its spatial orientation. Proposed wavelet as well as edge extraction method seems to be new way to edge detection for an image.


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