Online measurement system of slab front-end bending in hot rough rolling based on line structured light vision

Yan, Shuzong; Xu, Dong; He, Wanzhang; Yan, Hongxiang; Zhou, Jinhang; Jin, Guangyong; Wu, Tung Hsin; Liu, Lihui; Yu, Hongying; Wang, Xiaochen; Yang, Quan

doi:10.1088/1361-6501/acd6ae

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…Recent advancements have been made in multi-line laser inspection for planar surfaces [21,22]. Yet, in industrial manufacturing environments, applying this technique to curved surfaces, such as steel tubes, results in images with uneven brightness, where elevated areas appear brighter (as shown in figure 1).…”

Section: Introductionmentioning

confidence: 99%

Depth extraction of 3D defects on curved surfaces with multi-line lasers

Jin,

Li,

2024

Meas. Sci. Technol.

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The adoption of computer vision technology has significantly impacted surface defect inspection by providing a non-contact, cost-effective solution that has been widely accepted. Among the various techniques available, three-dimensional (3D) defect inspection using multi-line lasers is notable for its simplicity, high detection speed, and extensive coverage. The accuracy of this method is significantly constrained by the precision of laser stripe extraction. In industrial environments, achieving accurate extraction is hindered by the intricate surface geometries of objects and the challenge of maintaining uniform brightness in multi-line laser stripes. To address these challenges, we propose a novel approach to extract the depth of 3D defects on surfaces using multi-line lasers. Our method combines guided filtering and the Frankle-McCann Retinex algorithms to improve the quality of captured images. We have refined the laser stripe extraction process and proposed an advanced adaptive threshold segmentation technique that utilizes the OTSU method to determine threshold coefficients, followed by secondary segmentation based on a neighborhood search. The extracted laser strips are then processed using the quadratic weighted gray gravity method. Additionally, we proposed an innovative region-growth segmentation method based on neighborhood search that effectively segments individual laser strips. We also design a strategy for determining 3D defect depths in situations where precise camera calibration is challenging. The efficacy of our proposed method was rigorously tested on a hot-rolled seamless steel tube with a diameter of 145 mm. The resulting 3D defect depth exhibited an error of less than 0.5 mm, meeting the stringent standards required for practical applications.

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Section: Introductionmentioning

confidence: 99%

Depth extraction of 3D defects on curved surfaces with multi-line lasers

Jin,

Li,

2024

Meas. Sci. Technol.

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“…The speed and accuracy of laser stripe center extraction directly determines the speed and accuracy of subsequent measurements. To solve the problem of extracting the center of the laser stripe, Yan et al 26 proposed a line structured light vision technique for detecting bending in slabs at the front end. They successfully extracted the laser centerline on the surface of large high-temperature slabs using multiple regions-of-interest (ROIs) grayscale thresholds and Steger's algorithm.…”

Section: Introductionmentioning

confidence: 99%

High-efficiency flatness detection method for medium-thick steel plates based on multiline parallel laser vision

Xia,

Wang,

Wang

et al. 2023

Opt. Eng.

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.To resolve the disparity between accuracy and speed in the current surface flatness detection of medium and thick steel plates, which predominantly relies on the single-line laser vision method, we propose a high-efficiency flatness detection method for medium-thick steel plates based on multiline parallel laser vision. On the basis of building a flatness detection system, we present the adaptive cropping algorithm and improved variable threshold Otsu thresholding segmentation algorithm (IVT-Otsu) for image preprocessing. Then, the centerline of subpixel-level laser stripes is accurately extracted using a weighted quadratic grayscale center of gravity method. Meanwhile, a pruning algorithm-based multiline laser stripe center extraction method is proposed to address the phenomenon of spotting and branching in the center of multiline parallel laser, to efficiently obtain the surface depth information and flatness index of medium-thick steel plate. Results of the experiment indicate that the proposed method better fulfills the accuracy and efficiency requirements for online inspection when extracting the laser centers and calculating the flatness.

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Online measurement system of slab front-end bending in hot rough rolling based on line structured light vision

Cited by 2 publications

References 26 publications

Depth extraction of 3D defects on curved surfaces with multi-line lasers

Depth extraction of 3D defects on curved surfaces with multi-line lasers

High-efficiency flatness detection method for medium-thick steel plates based on multiline parallel laser vision

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