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

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 j... Full description

Journal Title: Circuit World 01 August 2016, Vol.42(3), pp.97-103
Main Author: Wang, Shi Yuan
Other Authors: Zhao, Yang , Wen, Liuying
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 0305-6120 ; E-ISSN: 1758-602X ; DOI: 10.1108/CW-08-2015-0039
Link: http://www.emeraldinsight.com/doi/abs/10.1108/CW-08-2015-0039
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recordid: emerald_s10.1108/CW-08-2015-0039
title: PCB welding spot detection with image processing method based on automatic threshold image segmentation algorithm and mathematical morphology
format: Article
creator:
  • Wang, Shi Yuan
  • Zhao, Yang
  • Wen, Liuying
subjects:
  • Image Processing
  • Circuit Implementation
  • Morphology
  • Soldered Dot
  • Threshold Selection
  • Engineering
ispartof: Circuit World, 01 August 2016, Vol.42(3), pp.97-103
description: 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.
language: eng
source:
identifier: ISSN: 0305-6120 ; E-ISSN: 1758-602X ; DOI: 10.1108/CW-08-2015-0039
fulltext: fulltext
issn:
  • 0305-6120
  • 03056120
  • 1758-602X
  • 1758602X
url: Link


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subjectImage Processing ; Circuit Implementation ; Morphology ; Soldered Dot ; Threshold Selection ; Engineering
descriptionPurpose 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.
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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.

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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.

pubEmerald Group Publishing Limited
doi10.1108/CW-08-2015-0039
date2016-08-01