Research Article
Micro Image Surface Defect Detection Technology Based on Machine Vision Big Data Analysis
@INPROCEEDINGS{10.1007/978-3-030-67874-6_40, author={Chao Su and Jin-lei Hu and Dong Hua and Pei-yi Cui and Guang-yong Ji}, title={Micro Image Surface Defect Detection Technology Based on Machine Vision Big Data Analysis}, proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2021}, month={1}, keywords={Machine vision Micro image Surface defect Big data Detection technology}, doi={10.1007/978-3-030-67874-6_40} }- Chao Su
Jin-lei Hu
Dong Hua
Pei-yi Cui
Guang-yong Ji
Year: 2021
Micro Image Surface Defect Detection Technology Based on Machine Vision Big Data Analysis
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-67874-6_40
Abstract
The traditional micro image surface defect detection system had slower running speed and less detection precision, which made the detection system operate inefficient and could not meet the requirements of small image surface defect detection. To this end, the optimization design of the micro image surface defect detection system based on machine vision-based big data analysis was carried out. The system design was optimized with MATLAB 7.0 programming environment; MATLAB technology was used to process small images to visualize calculation results and programming; The filtering of the micro image was detected by the method of spatial domain filtering to complete the detection task of the surface defect of the micro image. The design method was validated and the test data showed that the micro image surface defect detection system ran faster and the detection was more precise. The detection accuracy was 92% and the detection quality was high.
