Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/230722
Title: Dynamic detection method of medium-low speed maglev F-track seams based on machine vision
Authors: Dongkai Zhang;Shibin Gao;Long Yu;Dong Zhan
Year: 2017
Publisher: CES
Abstract: This paper presents a dynamic detection method of medium and low speed maglev F-track seam based on machine vision detection technology. A Kalman filter light bar center extraction algorithm based on ridge line prediction is proposed for the bar image of F-track seam detection. And a threshold segmentation feature point extraction method is proposed for the center of the light bar. The static and dynamic precision of detection system are verified by the stability test, static and dynamic precision test. The static detection accuracy of end of F-track seam is less than 0.5mm and dynamic detection accuracy is less than 0.8mm. Then the static precision is less than 0.2mm the dynamic accuracy is less than 0.5mm about the horizontal F-track seam. And the static precision is less than 0.2mm, and the dynamic accuracy is less than 0.5mm about the vertical F-track seam. The detection accuracy of the system meets the requirements of F-track seam precision.
URI: http://localhost/handle/Hannan/230722
volume: 1
issue: 4
More Information: 343,
353
Appears in Collections:2017

Files in This Item:
File SizeFormat 
8241355.pdf1.6 MBAdobe PDF
Title: Dynamic detection method of medium-low speed maglev F-track seams based on machine vision
Authors: Dongkai Zhang;Shibin Gao;Long Yu;Dong Zhan
Year: 2017
Publisher: CES
Abstract: This paper presents a dynamic detection method of medium and low speed maglev F-track seam based on machine vision detection technology. A Kalman filter light bar center extraction algorithm based on ridge line prediction is proposed for the bar image of F-track seam detection. And a threshold segmentation feature point extraction method is proposed for the center of the light bar. The static and dynamic precision of detection system are verified by the stability test, static and dynamic precision test. The static detection accuracy of end of F-track seam is less than 0.5mm and dynamic detection accuracy is less than 0.8mm. Then the static precision is less than 0.2mm the dynamic accuracy is less than 0.5mm about the horizontal F-track seam. And the static precision is less than 0.2mm, and the dynamic accuracy is less than 0.5mm about the vertical F-track seam. The detection accuracy of the system meets the requirements of F-track seam precision.
URI: http://localhost/handle/Hannan/230722
volume: 1
issue: 4
More Information: 343,
353
Appears in Collections:2017

Files in This Item:
File SizeFormat 
8241355.pdf1.6 MBAdobe PDF
Title: Dynamic detection method of medium-low speed maglev F-track seams based on machine vision
Authors: Dongkai Zhang;Shibin Gao;Long Yu;Dong Zhan
Year: 2017
Publisher: CES
Abstract: This paper presents a dynamic detection method of medium and low speed maglev F-track seam based on machine vision detection technology. A Kalman filter light bar center extraction algorithm based on ridge line prediction is proposed for the bar image of F-track seam detection. And a threshold segmentation feature point extraction method is proposed for the center of the light bar. The static and dynamic precision of detection system are verified by the stability test, static and dynamic precision test. The static detection accuracy of end of F-track seam is less than 0.5mm and dynamic detection accuracy is less than 0.8mm. Then the static precision is less than 0.2mm the dynamic accuracy is less than 0.5mm about the horizontal F-track seam. And the static precision is less than 0.2mm, and the dynamic accuracy is less than 0.5mm about the vertical F-track seam. The detection accuracy of the system meets the requirements of F-track seam precision.
URI: http://localhost/handle/Hannan/230722
volume: 1
issue: 4
More Information: 343,
353
Appears in Collections:2017

Files in This Item:
File SizeFormat 
8241355.pdf1.6 MBAdobe PDF