Analysis of mixtures at laser surfacing using computer vision
dc.contributor.author | Kovalevskyi, M. | |
dc.date.accessioned | 2022-02-10T11:43:48Z | |
dc.date.available | 2022-02-10T11:43:48Z | |
dc.date.issued | 2021 | |
dc.description | Kovalevskyi M. Analysis of mixtures at laser surfacing using computer vision / M. Kovalevskyi ; sci. advisors D. Kritskiy, O. Pohudina // Black Sea Science 2021. Information Technology, Automation and Robotics : рroc. of the Intern. Competition of Student Scientific Works / Odessa Nat. Acad. of Food Technologies ; eds. B. Yegorov, M. Mardar, S. Kotlyk [et al.]. – Odessa : ONAFT, 2021. – P. 127-134 : fig. – Ref.: 9 tit. | ru_RU |
dc.description.abstract | A method of contour recognition is considered, which includes several stages of processing the original image. Some methods of contour recognition are highlighted and their characteristic features are described. A certain sequence of applying the stages of processing the input image is proposed. Examples of output data after applying image processing and the results of their analysis are given. The comparison of the quality of contour recognition for each type of powder is carried out, the error of the analysis is calculated, and the corresponding conclusions are drawn. | ru_RU |
dc.identifier.uri | https://card-file.ontu.edu.ua/handle/123456789/19641 | |
dc.subject | computer vision | ru_RU |
dc.subject | OpenCV | ru_RU |
dc.subject | laser surfacing | ru_RU |
dc.subject | Freeman chain code | ru_RU |
dc.subject | Gaussian filter | ru_RU |
dc.subject | threshold transformation | ru_RU |
dc.title | Analysis of mixtures at laser surfacing using computer vision | ru_RU |
dc.type | Article | ru_RU |
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