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...

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Veröffentlicht in:Circuit world Jg. 42; H. 3; S. 97 - 103
Hauptverfasser: Wang, Shi yuan, Zhao, Yang, Wen, Liuying
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bradford Emerald Group Publishing Limited 01.08.2016
Schlagworte:
Algorithms
Automatic welding
Circuit boards
Feature extraction
Image detection
Image enhancement
Image processing
Image segmentation
Mathematical morphology
Morphology
Neighborhoods
Pattern recognition
Printed circuit boards
Printed circuits
Product reliability
Shape
Welding
China
Soldered dot
Threshold selection
Image processing
Circuit implementation
Morphology
ISSN:0305-6120, 1758-602X
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0305-6120
1758-602X
DOI:10.1108/CW-08-2015-0039