An edge sensitive 3D measurement using two directional laser stripes scanning with a laser projector

Li, Dong; Zhou, Xiang; Xu, Changda; Wang, Chao; Guo, Jiayu

doi:10.1117/12.2276848

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In ref. [13], Li D et al chose Gaussian filter for gray value of the image to get the center of each transversal line, which means a large amount calculation should be used. In ref.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

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

“…In ref. [13], Li D et al chose Gaussian filter for gray value of the image to get the center of each transversal line, which means a large amount calculation should be used. In ref.…”

Section: Discussionmentioning

confidence: 99%

“…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

show abstract

An Octree-Based Two-Step Method of Surface Defects Detection for Remanufacture

Wen

et al. 2022

Int. J. of Precis. Eng. and Manuf.-Green Tech.

View full text Add to dashboard Cite

Accurate and quick detection has a significant bearing on overall productivity of remanufacture. 3D scanning technologies have been widely applied in defects detection by comparing the damaged model with the nominal model. In this process, a huge amount of point cloud data is required to ensure detection accuracy whereas resulting in large storage space and long processing time of detection. This paper proposed an efficient two-step method based on octree to detect defects accurately and quickly for remanufacturing. In this method, the damaged point cloud and the nominal point cloud are first registered.Then a two-step detection approach is developed to extract the surface defects, coarse detection and detailed extraction, where the octree method is applied to create an effective topology of discrete points and perform the Boolean operation for defects extraction. In coarse detection, rough location and size information of the defects are acquired from the whole point cloud data. Based on coarse detected boundary box containing defects, the detailed extraction step is applied to extract corresponding defects shape accurately. The feasibility of proposed method was validated by using a case to detect defects of a damaged turbine blade and the detection results can be used to generate restoration tool path. The results show that the proposed method outperforms state-of-art defects detection methods, which can reduce time by 74.03% and reduce error by 36.86%, respectively.

show abstract

An edge sensitive 3D measurement using two directional laser stripes scanning with a laser projector

Cited by 2 publications

References 0 publications

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

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

An Octree-Based Two-Step Method of Surface Defects Detection for Remanufacture

Contact Info

Product

Resources

About