
The Research on the Measurement System of Target Dimension Based on Digital Image
Author(s) -
Weiliang Yu,
Xuefeng Zhu,
Zihao Mao,
Weihua Liu
Publication year - 2021
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 - 10.1088/1742-6596/1865/4/042072
Subject(s) - computer vision , artificial intelligence , computer science , edge detection , digital image processing , noise (video) , dimension (graph theory) , image processing , enhanced data rates for gsm evolution , canny edge detector , image (mathematics) , mathematics , pure mathematics
Targets dimension measurement technology based on digital image processing has the advantages of non-contact, low cost and wide environmental adaptability. It has been widely used in chip manufacturing, biomedicine, aerospace, military and other fields. In the traditional image acquisition and edge detection, it is inevitable to be affected by noise such as illumination, shadow and edge defect, which makes the measurement accuracy vulnerable to environmental impact. In this paper, on the basis of gray scale transformation and Gaussian filtering of the image, Canny operator was used to detect the target’s edge, and morphological algorithms such as hole filling and small object removal were used for post-processing, so as to finally achieve the dimension measurement and display of the target. This system eliminates the influence of light and Gaussian noise, and realizes the extraction of the edge while carrying out meticulous and de-noising, which makes the system realize the extraction of the edge fine, wide applicability and high precision.