Direction of Groove Detection for Wear Image of Four-Ball Friction Test Based on Gray Difference of Inclination Angle
In order to avoid subjective estimation of the direction of groove by using a tester in the four-ball friction test, an automatic wear angle detection method based on gray difference of inclination angle is proposed in this paper. First, the gray difference between the pixel and its W × 2W neighborh...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/9579853 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832554996097351680 |
|---|---|
| author | Mei Xiao Ying Zhang Haiming Wang Lei Zhang |
| author_facet | Mei Xiao Ying Zhang Haiming Wang Lei Zhang |
| author_sort | Mei Xiao |
| collection | DOAJ |
| description | In order to avoid subjective estimation of the direction of groove by using a tester in the four-ball friction test, an automatic wear angle detection method based on gray difference of inclination angle is proposed in this paper. First, the gray difference between the pixel and its W × 2W neighborhood pixels is acquired, in which each neighborhood pixel corresponds to an inclination angle. Second, a row’s grayscale difference of inclination angle is calculated, which is the sum of grayscale difference of all pixels in the same row with the same inclination angle. Third, the inclination angle corresponding to the minimum row’s grayscale difference is defined as the approach angles. Finally, the first t approaching angles with the highest frequency determine the wear angles. Compared with true angles determined manually, the simulation results of 200 samples show that the average absolute error is 2.1238° and the average running time is 1.3 s per frame. The influence of the algorithm parameters on detection precision is also analyzed. |
| format | Article |
| id | doaj-art-5b6fc860536a4c6d8125b286ee7ba32f |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-5b6fc860536a4c6d8125b286ee7ba32f2025-02-03T05:49:53ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422020-01-01202010.1155/2020/95798539579853Direction of Groove Detection for Wear Image of Four-Ball Friction Test Based on Gray Difference of Inclination AngleMei Xiao0Ying Zhang1Haiming Wang2Lei Zhang3College of Transportation Engineering, Chang’ an University, Xi’an 710064, Shaanxi, ChinaCollege of Transportation Engineering, Chang’ an University, Xi’an 710064, Shaanxi, ChinaCollege of Transportation Engineering, Chang’ an University, Xi’an 710064, Shaanxi, ChinaLaboratory and Equipment Management Department, Chang’ an University, Xi’an 710064, Shaanxi, ChinaIn order to avoid subjective estimation of the direction of groove by using a tester in the four-ball friction test, an automatic wear angle detection method based on gray difference of inclination angle is proposed in this paper. First, the gray difference between the pixel and its W × 2W neighborhood pixels is acquired, in which each neighborhood pixel corresponds to an inclination angle. Second, a row’s grayscale difference of inclination angle is calculated, which is the sum of grayscale difference of all pixels in the same row with the same inclination angle. Third, the inclination angle corresponding to the minimum row’s grayscale difference is defined as the approach angles. Finally, the first t approaching angles with the highest frequency determine the wear angles. Compared with true angles determined manually, the simulation results of 200 samples show that the average absolute error is 2.1238° and the average running time is 1.3 s per frame. The influence of the algorithm parameters on detection precision is also analyzed.http://dx.doi.org/10.1155/2020/9579853 |
| spellingShingle | Mei Xiao Ying Zhang Haiming Wang Lei Zhang Direction of Groove Detection for Wear Image of Four-Ball Friction Test Based on Gray Difference of Inclination Angle Advances in Materials Science and Engineering |
| title | Direction of Groove Detection for Wear Image of Four-Ball Friction Test Based on Gray Difference of Inclination Angle |
| title_full | Direction of Groove Detection for Wear Image of Four-Ball Friction Test Based on Gray Difference of Inclination Angle |
| title_fullStr | Direction of Groove Detection for Wear Image of Four-Ball Friction Test Based on Gray Difference of Inclination Angle |
| title_full_unstemmed | Direction of Groove Detection for Wear Image of Four-Ball Friction Test Based on Gray Difference of Inclination Angle |
| title_short | Direction of Groove Detection for Wear Image of Four-Ball Friction Test Based on Gray Difference of Inclination Angle |
| title_sort | direction of groove detection for wear image of four ball friction test based on gray difference of inclination angle |
| url | http://dx.doi.org/10.1155/2020/9579853 |
| work_keys_str_mv | AT meixiao directionofgroovedetectionforwearimageoffourballfrictiontestbasedongraydifferenceofinclinationangle AT yingzhang directionofgroovedetectionforwearimageoffourballfrictiontestbasedongraydifferenceofinclinationangle AT haimingwang directionofgroovedetectionforwearimageoffourballfrictiontestbasedongraydifferenceofinclinationangle AT leizhang directionofgroovedetectionforwearimageoffourballfrictiontestbasedongraydifferenceofinclinationangle |