Please use this identifier to cite or link to this item:
https://er.chdtu.edu.ua/handle/ChSTU/4657
Title: | Вдосконалення цифрової обробки зображень кольорової капілярної дефектоскопії |
Authors: | Мацак, Б.В. Гальченко, Володимир Якович Тичков, Володимир Володимирович Трембовецька, Руслана Володимирівна |
Keywords: | color capillary flaw detection;automatic digital processing;algorithm |
Issue Date: | Sep-2023 |
Publisher: | Датчики, прилади та системи – 2023: збірник праць Х Міжнародної науково-технічної конференції, присвяченої пам'яті професора Шарапова В.М., Черкаси, вересень 2023 року |
Abstract: | Penetrant inspection (capillary inspection or capillary flaw detection) is primarily aimed at the industrial sector to inspect metal objects such as oil and gas pipelines, as well as various components of machinery to prevent malfunctions and accidents. Among the defects that can be detected using this method are fatigue cracks, hairlines, pores, and pore clusters. An analytical review of technical literature sources and major publications on the topic of algorithms for digital image processing of indicator traces in capillary flaw detection was carried out. As a result of the analysis of the obtained digital images, the color features of indicator traces in capillary flaw detection were revealed, which led to the development of an algorithm for binary conversion of the digital image of the indicator trace. |
URI: | https://er.chdtu.edu.ua/handle/ChSTU/4657 |
First Page: | 102 |
End Page: | 103 |
Appears in Collections: | Наукові публікації викладачів (ФЕТР) |
Files in This Item:
File | Description | Size | Format | |
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Збірник матеріалів МНТК ДПС-2023.pdf | 3.89 MB | Adobe PDF | View/Open |
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