Open AccessResearch on Detection Method of Sheet Surface Defects Based on Machine Vision
Author(s) -
Yuanmin Huang,
Ming Yi,
Weihang Yang,
Man Yang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/632/5/052085
Subject(s) - preprocessor , computer science , artificial intelligence , computer vision , software , image processing , debugging , segmentation , process (computing) , machine vision , image segmentation , image (mathematics) , programming language , operating system
The paper is based on machine vision technology to study the detection of sheet surface defects, designs the hardware system and software processing flow of online detection, introduces processing methods such as image preprocessing, image segmentation and target extraction, and processes the defect images accordingly. Use C# software to design the human-computer interaction interface and on-line debugging and on-line detection for the online detection of sheet defects. The experimental results show that the detection method is feasible, the false detection rate is low, and it can be well applied to the online detection of wood automatic production process.