Laser Stripe Center Extraction Based on Hessian Matrix and Regional Growth

Jian, 刘剑 Liu; Lihua, 刘丽华 Liu

doi:10.3788/lop56.021203

Cited by 2 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the preset movement parameter k in the scanning stage, the corresponding k units of point clouds in each section are translated along the z-axis, thus achieving a complete point cloud reconstruction of the inner wall of the pipe. The converted coordinates are shown in Equation (33).…”

Section: Pipe Inner Wall Reconstructionmentioning

confidence: 99%

“…The technology relies on the Gaussian convolution process, leading to high computational durations [ 32 ]. Liu et al suggested an algorithm for extracting centers, which utilized the Hessian matrix and expanding regions; this method is noted for high accuracy and strong resilience, yet it falls short in real-time efficiency with a wide stripe width [ 33 ]. Wang et al obtained the approximate position of the light stripe center by extracting the skeleton, and then calculated the coordinates of the light stripe center along the skeleton normal direction using the weighted gray barycenter method.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

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

Kong,

Ma,

Wang

et al. 2024

Sensors

View full text Add to dashboard Cite

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.

show abstract

Section: Pipe Inner Wall Reconstructionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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

Kong,

Ma,

Wang

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…To solve this problem, Hu et al [13] proposed a approach based on adaptive threshold power transformation, which improved the extraction speed and met the requirements of real-time extraction in the industry. Liu et al [14] proposed a approach for extracting the center of the light stripe based on the Hessian matrix and region growth approach. Although this approach can extract the stripe center accurately, it is not sensitive to the object surface with strong optical properties.…”

Section: Introductionmentioning

confidence: 99%

Weld line structured light stripe center extraction approach based on data dimensionality reduction

ZHENG,

LIU,

ZHU

et al. 2023

Proc. Rom. Acad. Ser. A - Math. Phys. Tech. Sci. Inf. Sci.

View full text Add to dashboard Cite

In order to improve the accuracy and speed of extracting the center of the line structured light stripe when using the vision measurement technology to get the 3D information of the weld sample, this paper proposes a center extraction approach based on the idea of data dimensionality reduction. First, use the weighted gray centroid approach to get the initial center point of the light stripe. Then, build a 7×7 template centered on the pixel block where the initial point is located and performs singular value decomposition on the 49×3 matrix within the template to get the normal direction of the initial point. Finally, calculate the stripe's exact center points through second-order Taylor expansion and smooth repair by cubic spline interpolation of breakpoints. The comparison experimental results show that this approach can effectively reduce the influence of the noise outside the light stripe on the center extraction, reduce the extraction time while ensuring the measurement accuracy, which can lay a good foundation for the point cloud data processing and surface reconstruction.

show abstract

Laser Stripe Center Extraction Based on Hessian Matrix and Regional Growth

Cited by 2 publications

References 0 publications

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

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

Weld line structured light stripe center extraction approach based on data dimensionality reduction

Contact Info

Product

Resources

About