Defects Detection of Printed Circuit Board Based on the Machine Vision Method

Wen Bin Wang; Dao Yuan Liu; Yu Qin Yao

doi:10.4028/www.scientific.net/AMM.494-495.785

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 494-495Defects Detection of Printed Circuit Board Based...

Defects Detection of Printed Circuit Board Based on the Machine Vision Method

Abstract:

The processing of target image using image processing technology, can realize the non-contact online detecting circuit board, thus greatly improve the detection efficiency, reducing the defective rate. This paper provides the detection system based on the methods of pre-processing the standard circuit board image and the circuit board image to be detected, two value segmentation, morphological image processing, image registration and poor shadow detection processing, among them ,image registration is the key. In order to improve the processing speed to achieve real-time processing, image registration using rapid processing algorithm. Analysis of the experimental results, the method can detect the defects on the circuit board to be detected accurately, and can achieve the automatic real-time detection purposes.

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Periodical:

Applied Mechanics and Materials (Volumes 494-495)

Pages:

785-788

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.494-495.785

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Online since:

February 2014

Authors:

Wen Bin Wang*, Dao Yuan Liu, Yu Qin Yao

Keywords:

Defects Detection, Image Segmentation, Machine Vision

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