Development and Application of Machine Vision Recognition Technology in the Field of Mechanical Transmission
An image acquisition method based on machine vision and its application in many fields are expounded； an image processing technology is introduced，and a schematic diagram of the processing results of each method is given by taking the gear tooth surface as an example； the characteristics of various...
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| Fformat: | Erthygl |
| Iaith: | zho |
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Editorial Office of Journal of Mechanical Transmission
2022-07-01
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| Cyfres: | Jixie chuandong |
| Pynciau: | |
| Mynediad Ar-lein: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.07.025 |
| _version_ | 1826882727259930624 |
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| author | Luji Wu Jiayin Qin Anhu Li Linjie Yang |
| author_facet | Luji Wu Jiayin Qin Anhu Li Linjie Yang |
| author_sort | Luji Wu |
| collection | DOAJ |
| description | An image acquisition method based on machine vision and its application in many fields are expounded； an image processing technology is introduced，and a schematic diagram of the processing results of each method is given by taking the gear tooth surface as an example； the characteristics of various classification and recognition technologies are summarized； finally，the application and development trend of machine vision recognition technology in the field of mechanical transmission，such as gear tooth surface damage recognition direction，are prospected. |
| first_indexed | 2024-03-13T09:18:38Z |
| format | Article |
| id | doaj.art-d7497962d20a42f0a0f88eac2165ced5 |
| institution | Directory Open Access Journal |
| issn | 1004-2539 |
| language | zho |
| last_indexed | 2025-02-17T03:18:58Z |
| publishDate | 2022-07-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj.art-d7497962d20a42f0a0f88eac2165ced52025-01-10T13:58:33ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392022-07-014616717630476442Development and Application of Machine Vision Recognition Technology in the Field of Mechanical TransmissionLuji WuJiayin QinAnhu LiLinjie YangAn image acquisition method based on machine vision and its application in many fields are expounded； an image processing technology is introduced，and a schematic diagram of the processing results of each method is given by taking the gear tooth surface as an example； the characteristics of various classification and recognition technologies are summarized； finally，the application and development trend of machine vision recognition technology in the field of mechanical transmission，such as gear tooth surface damage recognition direction，are prospected.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.07.025Machine visionImage recognitionTransmission partsDevelopment trend |
| spellingShingle | Luji Wu Jiayin Qin Anhu Li Linjie Yang Development and Application of Machine Vision Recognition Technology in the Field of Mechanical Transmission Jixie chuandong Machine vision Image recognition Transmission parts Development trend |
| title | Development and Application of Machine Vision Recognition Technology in the Field of Mechanical Transmission |
| title_full | Development and Application of Machine Vision Recognition Technology in the Field of Mechanical Transmission |
| title_fullStr | Development and Application of Machine Vision Recognition Technology in the Field of Mechanical Transmission |
| title_full_unstemmed | Development and Application of Machine Vision Recognition Technology in the Field of Mechanical Transmission |
| title_short | Development and Application of Machine Vision Recognition Technology in the Field of Mechanical Transmission |
| title_sort | development and application of machine vision recognition technology in the field of mechanical transmission |
| topic | Machine vision Image recognition Transmission parts Development trend |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.07.025 |
| work_keys_str_mv | AT lujiwu developmentandapplicationofmachinevisionrecognitiontechnologyinthefieldofmechanicaltransmission AT jiayinqin developmentandapplicationofmachinevisionrecognitiontechnologyinthefieldofmechanicaltransmission AT anhuli developmentandapplicationofmachinevisionrecognitiontechnologyinthefieldofmechanicaltransmission AT linjieyang developmentandapplicationofmachinevisionrecognitiontechnologyinthefieldofmechanicaltransmission |