Research and Application of SURF and Gray Difference in Detection of Small Modulus Plastic Gear Defect
The FLANN（ Fast library for approximate nearest neighbors） algorithm is used to match the detected SURF（ Speeded up robust features） descriptors. The obtained key points are iteratively sorted,and the RANSAC（ Random sample consensus） algorithm is used to extract the matching points for two times. Th...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2018-01-01
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| Series: | Jixie chuandong |
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| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.05.032 |
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| _version_ | 1841547459484975104 |
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| author | Yang Ya Tao Hongyan Yu Chengbo |
| author_facet | Yang Ya Tao Hongyan Yu Chengbo |
| author_sort | Yang Ya |
| collection | DOAJ |
| description | The FLANN（ Fast library for approximate nearest neighbors） algorithm is used to match the detected SURF（ Speeded up robust features） descriptors. The obtained key points are iteratively sorted,and the RANSAC（ Random sample consensus） algorithm is used to extract the matching points for two times. The gray difference algorithm is used to extract the defective region after the matrix transformation registration,using the Otsu threshold method to segment the image and the characteristics of defect area domain are analyzed,which uses the Otsu threshold method to segment the image. The results show that the method is superior to the traditional detection algorithm in detecting speed and range. So it has positive research significance and value in on-line inspection of small module plastic gear industry. |
| format | Article |
| id | doaj-art-fc00fc188d1148b19ecaee2039793446 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2018-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-fc00fc188d1148b19ecaee20397934462025-01-10T14:42:15ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392018-01-014215616029936547Research and Application of SURF and Gray Difference in Detection of Small Modulus Plastic Gear DefectYang YaTao HongyanYu ChengboThe FLANN（ Fast library for approximate nearest neighbors） algorithm is used to match the detected SURF（ Speeded up robust features） descriptors. The obtained key points are iteratively sorted,and the RANSAC（ Random sample consensus） algorithm is used to extract the matching points for two times. The gray difference algorithm is used to extract the defective region after the matrix transformation registration,using the Otsu threshold method to segment the image and the characteristics of defect area domain are analyzed,which uses the Otsu threshold method to segment the image. The results show that the method is superior to the traditional detection algorithm in detecting speed and range. So it has positive research significance and value in on-line inspection of small module plastic gear industry.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.05.032Small modulus plastic gearFeature matchingGray differenceDetection of defectsConnected domain analysis |
| spellingShingle | Yang Ya Tao Hongyan Yu Chengbo Research and Application of SURF and Gray Difference in Detection of Small Modulus Plastic Gear Defect Jixie chuandong Small modulus plastic gear Feature matching Gray difference Detection of defects Connected domain analysis |
| title | Research and Application of SURF and Gray Difference in Detection of Small Modulus Plastic Gear Defect |
| title_full | Research and Application of SURF and Gray Difference in Detection of Small Modulus Plastic Gear Defect |
| title_fullStr | Research and Application of SURF and Gray Difference in Detection of Small Modulus Plastic Gear Defect |
| title_full_unstemmed | Research and Application of SURF and Gray Difference in Detection of Small Modulus Plastic Gear Defect |
| title_short | Research and Application of SURF and Gray Difference in Detection of Small Modulus Plastic Gear Defect |
| title_sort | research and application of surf and gray difference in detection of small modulus plastic gear defect |
| topic | Small modulus plastic gear Feature matching Gray difference Detection of defects Connected domain analysis |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.05.032 |
| work_keys_str_mv | AT yangya researchandapplicationofsurfandgraydifferenceindetectionofsmallmodulusplasticgeardefect AT taohongyan researchandapplicationofsurfandgraydifferenceindetectionofsmallmodulusplasticgeardefect AT yuchengbo researchandapplicationofsurfandgraydifferenceindetectionofsmallmodulusplasticgeardefect |