Fast laser stripe extraction for 3D metallic object measurement

Fasogbon, Peter; Duvieubourg, Luc; Macaire, Ludovic

doi:10.1109/iecon.2016.7794138

Cited by 11 publications

(5 citation statements)

References 9 publications

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“…According to [ 42 ], the center line of the light stripe can be quickly and accurately extracted by using the center point of the Gaussian curve as the center point of the light stripe through Gaussian curve fitting. The set of input points is set as

.…”

Section: Methodsmentioning

confidence: 99%

Three-Dimensional-Scanning of Pipe Inner Walls Based on Line Laser

Kong,

Ma,

Wang

et al. 2024

Sensors

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In this study, an innovative laser 3D-scanning technology is proposed to scan pipe inner walls in order to solve the problems of the exorbitant expenses and operational complexities of the current equipment for the 3D data acquisition of the pipe inner wall, and the difficulty of both the efficiency and accuracy of traditional light stripe-center extraction methods. The core of this technology is the monocular-structured light 3D scanner, the image processing strategy based on tracking speckles, and the improved gray barycenter method. The experimental results demonstrate a 52% reduction in the average standard error of the improved gray barycenter method when compared to the traditional gray barycenter method, along with an 83% decrease in the operation time when compared to the Steger method. In addition, the size data of the inner wall of the pipe obtained using this technology is accurate, and the average deviation of the inner diameter and length of the pipe is less than 0.13 mm and 0.41 mm, respectively. In general, it not only reduces the cost, but also ensures high efficiency and high precision, providing a new and efficient method for the 3D data acquisition of the inner wall of the pipe.

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.…”

Section: Methodsmentioning

confidence: 99%

Three-Dimensional-Scanning of Pipe Inner Walls Based on Line Laser

Kong,

Ma,

Wang

et al. 2024

Sensors

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“…This algorithm can obtain the center of the light bar with higher accuracy under suitable conditions.LI et al first used the grayscale center of gravity method to calculate the center point of each column of the light bar, used the least squares method to fit the center point of each column, calculated the normal vector and the radius of curvature, defined a rectangular region around each center point, and re-calculated the coordinates of the center point within the rectangular region along the direction of the normal vector [4]. Fasogbon et al [5] proposed a center extraction algorithm based on Gaussian template. The algorithm first obtains the ROI region, and then filters the region of the line-structured light bar by Gaussian template to weaken the irregularity of the light intensity distribution in the cross-section of the bar, and compares it with the three algorithms, namely, Gaussian fitting, linear fitting, and grayscale center of gravity.…”

Section: Introductionmentioning

confidence: 99%

Accurate extraction of line-structured optical stripe centerlines under low exposure

zhu,

tian,

gao

et al. 2024

MIPPR 2023: Pattern Recognition and Computer Vision

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The line-structure light bar images acquired in industrial metal parts inspection may suffer from inaccurate extraction of the centerline of the line structure light bar due to the interference of ambient lighting and strong diffuse reflection and weak reflection of the part surface material. For this reason, this study proposes a method based on G-HL (Gauss-Hyper-Laplace Distribution) curve fitting to improve the center extraction accuracy of the line structure light bar in complex environments. First, the method uses Gaussian filtering to denoise the line-structured light image. Then, the laser line target pixel region is localized by finding the upper and lower boundaries of the line-structured light bar using the neighborhood gradient for each column of the line-structured light image, and the width of the line-structured light bar is calculated by the difference of the boundary coordinates, and the fitting interval is determined. Finally, within the fitting interval, the G-HL curve is used to fit the gray scale of the line-structured light cross-section to obtain the G-HL parameter, and the point of the maximum value of the G-HL curve is taken to be the coordinates of the center of the line-structured light. Experiments prove that the proposed method can accurately extract the center of the line structure light in low exposure. Compared with the methods such as the grayscale center of gravity method and the extreme value method, the proposed method has high accuracy and robustness.

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“…However, when there is a reflection on the surface of the measured object or a drastic change in the shape and appearance of the object, there is too much noise during the extraction of the laser strip center, which affects the reconstruction effect. In order to obtain a better reconstruction effect, many scholars put forward some solutions [4,5] . Tang [6] proposed an automatic detection method of mismatched points in laser images based on graph theory, which effectively eliminated mismatched points in different scales and illumination.. Yang [7] proposed a method of grid-structured light, which provides easy extraction of stereo-matching feature points for binocular vision.…”

Section: Introductionmentioning

confidence: 99%

Research on 3D reconstruction measurement method of workpieces based on binocular line structured light

Feng,

Sun

2024

International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023)

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During the reconstruction process, the measured object is affected by its own reflection, environmental illumination, and other factors, resulting in a large number of mismatching points during the stereo-matching process, thus affecting the accuracy of the three-dimensional reconstruction. Aiming at the above problems, this paper adopts a scanning method combining single-line laser and binocular vision. The binocular epipolar constraint is used to obtain the initial matching points, and the optical plane constraint is added to eliminate the false matching points. The experimental results show that the 3D modeling error of the workpiece is maintained within 0.5cm, which verifies that the method has certain feasibility and good accuracy in solving problems such as mismatching.

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Fast laser stripe extraction for 3D metallic object measurement

Cited by 11 publications

References 9 publications

Three-Dimensional-Scanning of Pipe Inner Walls Based on Line Laser

Three-Dimensional-Scanning of Pipe Inner Walls Based on Line Laser

Accurate extraction of line-structured optical stripe centerlines under low exposure

Research on 3D reconstruction measurement method of workpieces based on binocular line structured light

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