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PCB welding spot detection with image processing method based on automatic threshold image segmentation algorithm and mathematical morphology

Shi yuan Wang (Department of Computer Science, Southwest Petroleum University, Chengdu, China)
Yang Zhao (Department of Electronic and Information Technology, Jiangmen Polytechnic, Jiangmen, China)
Liuying Wen (Department of Computer Science, Southwest Petroleum University, Chengdu, China)

Circuit World

ISSN: 0305-6120

Article publication date: 1 August 2016

329

Abstract

Purpose

To enhance the detection efficiency of printed circuit board (PCB) soldered dot, this study aims to detect PCB soldered dot with image processing method.

Design/methodology/approach

Through a series of image processing algorithms, threshold segmentation and feature extraction of the solder joint images were completed; then, sphericity was confirmed based on the area and perimeter, as well as the shape parameter and eccentricity ratio of the calculated region, paving the way for defect pattern recognition.

Findings

It proves that the method with high efficiency and precision can satisfy the requirements of PCB soldered dot detection.

Originality/value

This paper is original in presenting a method for PCB welding spot detection.

Keywords

Citation

Wang, S.y., Zhao, Y. and Wen, L. (2016), "PCB welding spot detection with image processing method based on automatic threshold image segmentation algorithm and mathematical morphology", Circuit World, Vol. 42 No. 3, pp. 97-103. https://doi.org/10.1108/CW-08-2015-0039

Publisher

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Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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