Surface Defect System for Long Product Manufacturing Using Differential Topographic Images

Herrero, Fernando; García, Daniel; Usamentiaga, Rubén

doi:10.3390/s20072142

Cited by 6 publications

(1 citation statement)

References 26 publications

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“…The non-touch measurement of the 3D object surface is an attractive problem with potentials in the extensive fields of optical inspection, e.g. product quality inspection 1 , 2 , face recognition 3 , 4 , robot 5 , 6 and medical science 7 , 8 , geography 9 .…”

Section: Introductionmentioning

confidence: 99%

Vision-based reconstruction of laser projection with invariant composed of points and circle on 2D reference

Chen

et al. 2020

Sci Rep

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A vision-based reconstruction method is conducted by the point-circle invariant and the planar laser. The planar laser is coplanar to the two-dimensional (2D) reference. The combination of a circle on the 2D reference, a point on the 2D reference and a random point on the laser stripe is considered as the invariant, which is impervious to the projection from the laser plane to the image. therefore, the reconstruction model is achieved by the invariant, which is generated from the projections of the above geometric features. the experiments are performed to verify the performance and reconstruction error of the method. The minimum error is 0.473 mm for the camera-reference distance of 600 mm, the scaleplate-projector distance of 100 mm and the reference length of 30 mm. Besides, the maximum error is 4.960 mm, for the camera-reference distance of 900 mm, the scaleplateprojector distance of 400 mm and the reference length of 120 mm. The reconstruction error means of 0.891 mm, 1.365 mm, 2.578 mm and 3.767 mm are observed with respect to the test conditions of 600-900 mm, which proves the applicability of the reconstruction method with the point-circle invariant.

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Section: Introductionmentioning

confidence: 99%

Vision-based reconstruction of laser projection with invariant composed of points and circle on 2D reference

Chen

et al. 2020

Sci Rep

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Illumination modelling for reconstructing the machined surface topography

Shi

Zheng²,

Sheng³

et al. 2023

Int J Adv Manuf Technol

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Illumination estimation is crucial for surface detection method based on visual image reconstruction. The existing illumination models which depend on the macro-surface geometric features and reflection characteristics are difficult to accurately describe the luminance of machined surface topography with desertification fractal structure. Therefore, machined surface topography illumination model under coaxial light microscopic vision is proposed in this paper for the needs of on-line detection of complex surface and special functional surface topography in manufacturing field. Based on the light scattering theory, the luminance of surface topography is studied under the coaxial light microscopic vision, the influencing factors of luminance of surface topography are revealed, and the illumination model of machined surface topography is established. The experimental results show that the proposed illumination model has less calculation error and can more accurately describe the luminance of machined surface topography. The research results will lay a foundation for online detection and monitoring of machined surface.

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Hierarchical registration method for surface quality inspection of long products

et al. 2023

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Manufacturing industry often uses 3D scanning technologies to inspect their products. Some of these techniques produce a point cloud that represent a section of the manufactured product. The clouds must be aligned to the model of the product in order to check its quality. Current registration methods are usually affected by dimensional problems or volumetric anomalies. This paper proposes a new method for the registration process aligning the cloud to the model in several steps. The first step is the state-of-the-art method. The second step uses the information acquired in the first one to perform a fine registration in order to not being affected by dimensional defects or little miss alignments in the previous step providing a huge improvement in the measurement of surface defects. In this paper, several techniques are proposed in order to provide a set of tools that the final users can tune to fit their needs. The whole procedure of registration can be run in real-time conditions using the sampling and caching strategies proposed. The methods proposed are tested over more than 10,000 profiles of a rail proving they successfully align the cloud and the model providing better results in the measurement of surface defects.

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Surface Defect System for Long Product Manufacturing Using Differential Topographic Images

Cited by 6 publications

References 26 publications

Vision-based reconstruction of laser projection with invariant composed of points and circle on 2D reference

Vision-based reconstruction of laser projection with invariant composed of points and circle on 2D reference

Illumination modelling for reconstructing the machined surface topography

Hierarchical registration method for surface quality inspection of long products

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