An advanced multi-camera system for automatic, high-precision and efficient tube profile measurement

Pai, Wenyan; Liang, Jin; Zhang, Ming-kai; Tang, Zhengqiang; Li, Leigang

doi:10.1016/j.optlaseng.2021.106890

Cited by 8 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The accuracy of the fitting result is poorer when the ellipse is well rounded, that is, when the length of the long axis is roughly equal to the length of the short axis. Pai et al [28] proposed a seed growth method to reconstruct the tube. They believe that the tube was made up of many short straight tubes, and then the center line of the tube was divided into many short straight segments.…”

Section: Related Workmentioning

confidence: 99%

A precise measurement method for tube endpoints based on spatial geometry and perspective projection model

Zhao¹,

Xia²,

Chen³

et al. 2022

Meas. Sci. Technol.

View full text Add to dashboard Cite

Tubes are widely used in the aerospace field for such things as engines, fuel pipelines, cooling systems, etc. To improve manufacturing efficiency and accuracy, researchers develop multi-camera vision methods for measuring tube geometry parameters. However, these methods cannot measure the exact position of the endpoints of the tube because the projection points of the tube endpoints have no obvious texture features in the image. To solve the above problem, a precise measurement method for tube endpoints based on spatial geometry and perspective projection model is proposed in this paper. First, we establish a Plücker coordinate system, which treats the end of the tube as a cylinder. Then, several line equations parallel to the center line are calculated on the surface of the cylinder, and their intersections with the end face are obtained on these lines, which refer to the optical center of the camera, the radius of the tube, etc. These intersections are projected onto the centerline and optimized to get the endpoint. Finally, we build a multi-camera vision measurement system consisting of 10 industrial cameras to verify the effectiveness of the proposed method. Extensive experiments have shown that the average error of this method is within 0.1 mm and the standard deviation is within 0.08 mm, which proves the superiority of our proposed method.

show abstract

Section: Related Workmentioning

confidence: 99%

A precise measurement method for tube endpoints based on spatial geometry and perspective projection model

Zhao¹,

Xia²,

Chen³

et al. 2022

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…Researchers at home and abroad have extensively studied the online size measurement of parts, and made notable progress [1][2][3][4]. Different measurement protocols should be adopted depending on the type of parts, precision requirement, and processing condition.…”

Section: Introductionmentioning

confidence: 99%

An Improved BM3D-Canny-Zernike Algorithm for Micro-Size Detection of Electronic Connectors

Wang¹,

Yang²,

Ren³

et al. 2022

View full text Add to dashboard Cite

To detect the micro-size injection molded parts of electronic connectors, this paper establishes a complete size detection system based on machine vision, and measures the size through image acquisition and processing, according to the features of the injection molded parts. The proposed system is called the improved BM3D-Canny-Zernike algorithm. Specifically, the traditional block matching and three-dimensional filtering (BM3D) image denoising algorithm was improved to optimize the peak signal-to-noise ratio (PSNR) and reduce the mean squared error (MSE). Then, the Canny algorithm was improved for pixel-level edge detection, and the Zernike moment is improved for detecting edges on the subpixel-level more effectively and reducing the calculation amount. Finally, the least squares method was employed to fit the edge to be measured. The exact pixel length was obtained by solving the function of different edges, thereby realizing size measurement. Experimental results show that the mean error percentage of our algorithm was 8.73%, which meets the needs of industrial detection.

show abstract

Fast inspection of flange faces of welded tubes using photogrammetry and auxiliary measuring tools

Zhou,

Luo,

Zhang

2024

Measurement

View full text Add to dashboard Cite

An advanced multi-camera system for automatic, high-precision and efficient tube profile measurement

Cited by 8 publications

References 27 publications

A precise measurement method for tube endpoints based on spatial geometry and perspective projection model

A precise measurement method for tube endpoints based on spatial geometry and perspective projection model

An Improved BM3D-Canny-Zernike Algorithm for Micro-Size Detection of Electronic Connectors

Fast inspection of flange faces of welded tubes using photogrammetry and auxiliary measuring tools

Contact Info

Product

Resources

About