Open AccessResearch on Vision-based Intelligent Detection Method of Circle Features
Author(s) -
Zemin Fu,
Zhijin Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1684/1/012097
Subject(s) - hough transform , artificial intelligence , computer science , segmentation , computer vision , feature (linguistics) , machine vision , image segmentation , pattern recognition (psychology) , feature extraction , image (mathematics) , philosophy , linguistics
Aiming at the low efficiency and low accuracy of traditional manual detection of workpiece circular features, a machine vision method is proposed to accurately detect circular features. By adopting algorithms such as iterative threshold segmentation, generating XLD contours, selecting feature contours and random Hough transforms, single or multiple circles on the workpiece can be quickly detected. Experiments show that the detection is efficient and accurate, and can meet the detection needs of industry.