JOURNAL ARTICLE

Circuit board defect detection based on image processing

Abstract

Because the conventional printed circuit board defect detection is slow, a method base on the edge of image is proposed, this method can quickly locate and detect the detects on the circuit board. The algorithm combines gradient direction characteristics of image edge gray, the different characteristics of different defects in standard image and defect image are used to classify the defects, and then identify the type of defects. Experiments show that this method can detect the short circuit, opening, burr, hole and other defects of the circuit board quickly.

Keywords:
Printed circuit board Edge detection Artificial intelligence Computer science Computer vision Image (mathematics) Enhanced Data Rates for GSM Evolution Image processing Electronic circuit Circuit extraction Engineering Equivalent circuit Electrical engineering Voltage

Metrics

19
Cited By
3.82
FWCI (Field Weighted Citation Impact)
0
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Industrial Vision Systems and Defect Detection
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology
Advanced Measurement and Detection Methods
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

Related Documents

© 2026 ScienceGate Book Chapters — All rights reserved.