2015
DOI: 10.1117/12.2177890
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Cognitive high speed defect detection and classification in MWIR images of laser welding

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Cited by 5 publications
(3 citation statements)
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“…10 [71]- [72] developed a coaxial monitoring system integrating VIS and NIR-camera without auxiliary illumination, and a real-time image processing system analyzes the camera images regarding welding irregularities and delivers information to characterize the weld process and its result. In laser lap welding, Lapido et al [73] presented a novel approach for real-time monitoring evolution of the melt pool under several welding procedures by utilizing uncooled PbSe image sensors in the mid-wavelength infrared range.…”
Section: Co-axial Visual Sensingmentioning
confidence: 99%
See 1 more Smart Citation
“…10 [71]- [72] developed a coaxial monitoring system integrating VIS and NIR-camera without auxiliary illumination, and a real-time image processing system analyzes the camera images regarding welding irregularities and delivers information to characterize the weld process and its result. In laser lap welding, Lapido et al [73] presented a novel approach for real-time monitoring evolution of the melt pool under several welding procedures by utilizing uncooled PbSe image sensors in the mid-wavelength infrared range.…”
Section: Co-axial Visual Sensingmentioning
confidence: 99%
“…The proposed machine-learning algorithm can reduce the feature space by removing redundant information based on a statistical approach compared to geometrical feature extraction. Lapido et al [73] also used the PCA algorithm for decomposing the high-dimensional space of the MWIR images in a subspace of orthogonal components of maximum variance, which is closely related with the melt pool geometry in laser welding. However, the disadvantage of PCA method for feature extraction is less generally valid and more sensitive to variations of the experimental set up than geometry-based features.…”
Section: Statistical Features Exactionmentioning
confidence: 99%
“…Thermal imaging is an effective technique for defect detection (Jager and Hamprecht 2009;You et al 2015) defect classification (Lapido et al 2015) and laser power control (Hofman et al 2012;Rodriguez-Araujo et al 2012). In particular, high-speed Medium Wavelength Infrared (MWIR) imaging, has the benefits of being low cost and providing a high thermal dynamic range (Rodríguez-Araújo et al 2017), and has been successfully applied to the control of laser processes (Panadeiro-Castro et al 2018;Garcia et al 2018).…”
Section: Introductionmentioning
confidence: 99%