Autor: |
Kozlov Anton, Ugarova Ludmila, Gulyaev Vadim, Loginov Nikolay |
Jazyk: |
English<br />French |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
E3S Web of Conferences, Vol 548, p 06005 (2024) |
Druh dokumentu: |
article |
ISSN: |
2267-1242 |
DOI: |
10.1051/e3sconf/202454806005 |
Popis: |
The research is aimed at solving the problem of automating the search for visual defects in the car body paintwork. A digital image was used to search for paintwork defects. It is proposed to use a system based on a personal computer and an opto-digital module to obtain it. The image recognition process automation is achieved by applying various algorithms that ensure the corresponding subsystems operation. The image processing process involves the procedures for its evaluation and quality improvement production, as well as the objects recognition and the characteristics determination in the image. Carrying out these procedures requires the development of appropriate algorithms. The evaluating and improving the quality algorithm main function input image in relation to the problem being solved is to find possible paintwork defects in the image and bring the image quality to acceptable for further processing in case of defects. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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