Timed evaluation of the center extraction of a moving laser stripe on a vehicle body using the Sigmoid-Gaussian function and a tracking method

Xu, Guolin; Zhang, Mengjie; Li, Xiaotao; Su, Jian; Hao, Zhaobing

doi:10.1016/j.ijleo.2016.11.146

Cited by 11 publications

(5 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the rapid development of computer, visual, and laser technologies, laser vision detection methods are widely used in mechanical engineering fields, 10 , 11 such as defect detection, 12 – 14 and play an important role in efficient and high-precision nondestructive testing. It is gradually gaining prominence in the field of flatness detection of medium-thick steel plates and is currently the most promising detection method 15 …”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Xia,

Wang,

Wang

et al. 2023

Opt. Eng.

View full text Add to dashboard Cite

.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.

show abstract

Section: Introductionmentioning

confidence: 99%

“…It is gradually gaining prominence in the field of flatness detection of medium-thick steel plates and is currently the most promising detection method. 15 The laser vision inspection system comprises a camera and a linear laser emitter. The linear laser transmitter projects laser stripes onto the object's surface.…”

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.

View full text Add to dashboard Cite

show abstract

“…In addition, other representative algorithms include the curve fitting algorithm based on the Sigmoid-Gaussian function proposed by Xu et al, 18 which requires a robust and uniform light stripe. Zhao et al proposed a method using a neural network to detect stripes and extract the laser area with high precision; 19 however, the calculation duration is long, and the training is complicated.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, other representative algorithms include the curve fitting algorithm based on the Sigmoid-Gaussian function proposed by Xu et al., 18 which requires a robust and uniform light stripe. Zhao et al.…”

Section: Introductionmentioning

confidence: 99%

High-precision multi-curvature line-structured light center extraction algorithm based on a tooth model

Tang,

Jiang,

Miao

et al. 2023

Opt. Eng.

View full text Add to dashboard Cite

Common line-structured light center extraction algorithms have limitations in accuracy and robustness when extracting the center of line-structured light obtained from objects with complex surface structures. In this study, we propose a high-precision center extraction algorithm for multi-curvature line-structured light. This algorithm improves the enhanced parallel thinning algorithm to eliminate redundant points and burrs and fills for missing center points at the end of the light stripe via the improved internal propulsion center extraction algorithm. Finally, sub-pixel centers are recalculated in the direction of the normal vector. A comparative experiment using three classical algorithms was conducted based on a tooth model with a complex curved surface. The experimental results show that the mean absolute error of this algorithm is <0.1, which is only half that of the best-performing dual-threshold grayscale center-of-gravity method in the classical method. Extraction of the center can be performed for multi-curvature line-structured light over 20 curvatures in the range of ð0.0001; 4.1439Þ∕pixel −1 ; moreover, the end of the light stripe and the identification of the truncation can be improved. Therefore, the proposed algorithm is suitable for contour detection of multi-curvature targets and effectively improves the accuracy of high-precision object detection.

show abstract

“…The basic methods for extracting the stripe center include extremum method, threshold method, gray centroid method, etc. [12,13]. Different methods often need to be adapted with different filtering methods to increase the accuracy if images are noisy.…”

Section: Introductionmentioning

confidence: 99%

Research on laser stripe characteristics and center extraction algorithm for desktop laser scanner

et al. 2021

View full text Add to dashboard Cite

This study presents laser stripe center extraction algorithm for desktop-level 3D laser scanners. The laser stripe center extraction accuracy is an important factor affecting 3D scanning result. Desktop-level devices should have adaptability of a wide range of scanning objects. In this paper, laser stripe energy distribution characteristics with different laser stripe width, ambient light, materials and colors are obtained by experiments. Experiment results show that waveforms of bright spot, low brightness stripe and stripe with large width are complex or easily disturbed, so the center extraction algorithm of them are studied. The extraction effects of extremum method, gradient method and gray centroid method under different conditions are compared. Based on traditional grayscale value, a weighted grayscale value is proposed to extract laser stripe center. Standard deviations of extracted pixel position and fitting pixel position are calculated by different method with different weighted grayscale value. For different conditions, especially for different ambient light intensity, weight matrix plays an important role to extraction result.

show abstract

Timed evaluation of the center extraction of a moving laser stripe on a vehicle body using the Sigmoid-Gaussian function and a tracking method

Cited by 11 publications

References 38 publications

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

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

High-precision multi-curvature line-structured light center extraction algorithm based on a tooth model

Research on laser stripe characteristics and center extraction algorithm for desktop laser scanner

Contact Info

Product

Resources

About