Improvement of the manufacturing quality test of plastic containers by using thermography scans

References

• Kackar R. Off-Line quality control, parameter design, and the Taguchi method. J Qual Technol. 2015;17(4):176–188.
   Google Scholar
• Iqbal R, Maniak T, Doctor K, et al. Fault detection in industrial processes using deep learning approaches. IEEE Trans Ind Inform. 2019;15(5):3077–3084.
   Web of Science ®Google Scholar
• Madami K, Kachurka V, Sabourin C. A soft computing-based approach to artificial vision attetntion using human eye fixation paradigm: toward a human like skill in robot vision. Software Comput. 2019;23:2369–2389.
   Web of Science ®Google Scholar
• Laiwang B, Liu S, Chi J, et al. Safety evaluation of different acids in high-density polyethylene container loading. J Loss Prevent Process Ind. 2020;63:1–8.
   Web of Science ®Google Scholar
• Sierra N, Plazas C, Guillen L, et al. Quality control guide of the packing employed in the pharmaceutical, cosmetics and food industry. Rev Colomb Ciencias Quím Farm. 2010;39(2):149–167.
   Google Scholar
• Theodorakeas P, Cheilakou E, Koui M. Passive and active infrared thermography: an overview of applications for the inspection of mosaic structures. J Phys. 2015;655:1–10.
   Google Scholar
• Wiecek B. Review of thermal image processing for passive and active thermography. Eng Med Biol. 2005;1–4. DOI:10.1109/IEMBS.2005.1616506
   Google Scholar
• Oswald-Tranta B. Detection and characterization of short fatigue cracks by inductive thermography. Quant Infrared Thermogr J. 2021;1–22. DOI:10.1080/17686733.2021.1953226
   Web of Science ®Google Scholar
• Mota-Grajales R, Torres-Pena J, Camas-Anzueto L, et al. Defect detection in eggshell using a vision system to ensure the incubation in poultry production. Meas. 2018;135:36–46.
   Web of Science ®Google Scholar
• Changmin K, Gwanyong P, Hyangin J, et al. Automated classification of thermal deffects in the building envelope using thermal and visible images. Quant Infrared Thermogr J. 2022. DOI:10.1080/17686733.2022.2033531
   Web of Science ®Google Scholar
• Xing C, Xu H, Tan Y, et al. Gradiation measurement of asphalt mixture by X-ray CT images and digital image processing methods. Measurement. 2019;132:377–386.
   Web of Science ®Google Scholar
• Zalameda J, Winfree W. Detection and characterization of damage in Quasi-Static loaded composite structures using passive thermography. Sensors. 2018;10(3562):1–18.
   Google Scholar
• Sanati H, Wood D, Sun Q. Condition monitoring of wind-turbine blades using active and passive thermography. Appl Sci. 2018;8(2004):1–19.
   Google Scholar
• Li Y, Ming A, Mao H, et al. Detection and characterization of mechanical impact damage within multi-layer carbon fiber reinforce polymer (CFRP) laminate using passive thermography. IEEE Access. 2019;7:27689–27698.
   Web of Science ®Google Scholar
• Chen X, Li E, Cai J, et al. Resistive failure localization of electronic components by lock-in thermography. In: International Conference on Electronic Packaging Technology; 2020. DOI:10.1109/ICEPT50128.2020.9202980
   Google Scholar
• Bloss R. Sensor technology, even more important to packaging: a highlight at packexpo. Sens Rev. 2010;32(3):199–202.
   Web of Science ®Google Scholar
• Chang H, Yuan F. Visualization of hidden damage from scatered wvefield reconstructed using an integrated high-speed camera. Struct Health Monit. 2020;1–17. DOI:10.1177/1475921720940805
   Web of Science ®Google Scholar
• Liu B, Wu S, Zou S. Automatic detection technology of surface defects on plastic products based on machine vision. In: International Conference on Machine Automation and Control Engineering; 2010. p. 2213–2216. DOI:10.1109/MACE.2010.5536470
   Google Scholar
• Shafait F, Imran S, Klette-Mazat S. Fault detection and localization in empty water bottles through machine vision. E-Tech. 2004;30–34. DOI:10.1109/ETECH.2204.1353840
   Google Scholar
• Zhou X, Wang Y, Xiao C, et al. Automated visual inspection of glass bottle bottom with saliency detection and template mactching. IEEE Trans Instrum Meas. 2019;1–15. DOI:10.1109/TIM.2018.2886977
   Web of Science ®Google Scholar
• Prabuwono A, Usino W, Yazdi L, et al. Automated visual ispection for bottle caps using fuzzy logic. TEM J. 2019;8(1):107–112.
   Google Scholar
• Saavedra-García M, Camarena-Adame M, and Tapia-Sanchez B. Quality for competitiveness micro, small, and medium enterprises of Mexico City. Rev Venezolana de Gerencia. 2017;22(80):551-572.
   Google Scholar
• Gade R, Moeslund T. Thermal cameras and applications: a survey. Mach Vision Appl. 2013;25:245–262.
   Web of Science ®Google Scholar
• Papamprkou I, Papamarkos N. Conversion of color documents to grayscale. In: Mediterranean Conference on Control and Automation; 2013. p. 1609–1614. DOI:10.1109/MED.2013.6608937
   Google Scholar
• Lou J, Adams M. A highly effective approach for generating delaunay mesh models of RGB color images. In: IEEE Pacific Rim Conference on Communications, Computers, and Signal Processing; 2020. DOI:10.1109/PACRIM47961.2019.8985067
   Google Scholar
• Wei L, Yin C, Fujita Y, et al. Handheld line-scanned dual-axis confocal microscope with pistoned MEMS actuation for flat-field fluorescence imaging. Opt Lett. 2019;44(3):671–674.
   PubMed Web of Science ®Google Scholar
• Kask P, Palo K, Hinnah C, et al. Flat field correction for high-troughput imaging of fluorescent samples. J Microsc. 2016;263(3):328–340.
   PubMed Web of Science ®Google Scholar
• Bekyaev A, Fayolle P. Adaptive curvature-guided image filtering for structure+texture image descomposition. IEEE Trans Image Process. 2018;27(10):5192–5203.
   Web of Science ®Google Scholar
• Komatsu T, Saito T. Super-Resolution sharpening demosaicking method for removing image blurs caused by an optical low-pass filter. In: IEEE Conference on Image Processing; 2005. p. 1–4. DOI:10.1109/ICIP.2005.1529883
   Google Scholar
• Mahmood A, Khan S, Hussain S, et al. An adaptive image contrast enhancement technique for low contrast images. IEEE Access. 2019;7:161584–161593.
   Web of Science ®Google Scholar
• Tiwari M, Gupta B. Brightness preserving contrast enhancement of medical images using adaptive gamma correction and homomorphic filtering. In: IEEE Students Conference on Electrical, Electronics, and Computer Science; 2016. p.1–4. DOI:10.1109/SCEECS.2016.7509287
   Google Scholar
• Melnyk R, Kalychak Y, Kvit R. Analysis of cloudiness segmentation and monitoring of satellite maps images. Int J Comput. 2019;18(2). DOI:10.47839/ijc.18.2.1415
   Google Scholar
• Bardera A, Riagau J, Boada I, et al. Image segmentation using information bottleneck method. Trans Image Process. 2009;18(7):1601–1612.
   PubMed Web of Science ®Google Scholar
• Pavel S, Aiordachionaie D, Frangu L. Automated thermal images processing system for change detection and diagnosis. In: IEEE 25th Int Symp Des Technol Electron Packag. 2019. DOI:10.1109/SIITME47687.2019.8990719
   Google Scholar
• Montonaro M, Peralta M, and Di Maio A. Efecto del enfriamiento en probetas de hormigon expuestas a temperatura. Mecánica Compu. 2004;23(09):893–902.
   Google Scholar
• Zhang H, Sfarra S, Osman A, et al. An infrared-induced terahertz imaging modality for foreign object detection in a lightweight honeycomb structure. IEEE Trans Ind Inform. 2018;14(12):5629–5636.
   Web of Science ®Google Scholar
• Sfarra S, Cicone A, Yousefi B, et al. Maximizing the detection of thermal imprints in civil engineering composites via numerical and thermographic results pre-processed by a groundbreaking mathematical approach. Int J Therm Sci. 2022;177. DOI:10.1016/j.jthermalsci.2022.107553
   Web of Science ®Google Scholar