2023
DOI: 10.1016/j.measurement.2023.112680
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A Non-contact approach for cable tension evaluation based on 3D laser scanning data and nonlinear finite element analysis

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Cited by 8 publications
(3 citation statements)
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“…The three-dimensional laser scanning method [16,17] is used to collect three-dimensional images of metal artefacts, and the normal information of point cloud model is used to realize three-dimensional reorganization of metal artefacts. Gradient cloud point information of three-dimensional feature points of metal artefacts is extracted, and the Laplace scale decomposition fusion formula for visual feature detection of three-dimensional reconstruction of metal artefacts is obtained by combining the depth and brightness analysis of colour space:…”
Section: Pretreatment Of Laser 3d Scanning More Features Of Metal Cul...mentioning
confidence: 99%
See 1 more Smart Citation
“…The three-dimensional laser scanning method [16,17] is used to collect three-dimensional images of metal artefacts, and the normal information of point cloud model is used to realize three-dimensional reorganization of metal artefacts. Gradient cloud point information of three-dimensional feature points of metal artefacts is extracted, and the Laplace scale decomposition fusion formula for visual feature detection of three-dimensional reconstruction of metal artefacts is obtained by combining the depth and brightness analysis of colour space:…”
Section: Pretreatment Of Laser 3d Scanning More Features Of Metal Cul...mentioning
confidence: 99%
“…The three‐dimensional laser scanning method [16, 17] is used to collect three‐dimensional images of metal artefacts, and the normal information of point cloud model is used to realize three‐dimensional reorganization of metal artefacts. Gradient cloud point information of three‐dimensional feature points of metal artefacts is extracted, and the Laplace scale decomposition fusion formula for visual feature detection of three‐dimensional reconstruction of metal artefacts is obtained by combining the depth and brightness analysis of colour space: Wij(x,y)badbreak=Gij(x,y)i=1nxj=1nrGij(x,y)+ε$$\begin{equation}{W}^{ij}(x,y) = \frac{{{G}^{ij}(x,y)}}{{\sum\nolimits_{i = 1}^{{n}_x} {\sum\nolimits_{j = 1}^{{n}_r} {{G}^{ij}(x,y) + \varepsilon } } }}\end{equation}$$where x,y$x,y$ represents the distribution coordinates of three‐dimensional pixel points of metal cultural relics laser, Gij(x,y)${G}^{ij}(x,y)$ is the significant parameter of the internal structure of metal cultural relics, false(xij,yijfalse)$({x}^{ij},{y}^{ij})$ is the template feature matching value of metal cultural relics image under the window size, nx,nr${n}_x,{n}_r$ are the optimal three‐dimensional visual feature quantity of metal cultural relics laser and ε respectively represents the global contrast information of metal cultural relics visual image.…”
Section: Construction and Preprocessing Of Feature Point‐to‐line Mode...mentioning
confidence: 99%
“…Comparing with 2D measurements' methods, 3D measurements can provide more comprehensive structural information, facilitating precise measurements at multiple angles. For example, Srimontriphakdi [8] proposed a non-contact method for evaluating the top tension and bending stiffness of large cable-stayed objects using three-dimensional laser scanning data from ground-based laser scanners. However, the disorder and sparsity of point cloud data result in a time-consuming measurement process, which highlights the need for a more efficient processing method.…”
Section: Introductionmentioning
confidence: 99%