{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T12:08:01Z","timestamp":1790424481918,"version":"4.1.0"},"reference-count":30,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2013,8,9]],"date-time":"2013-08-09T00:00:00Z","timestamp":1376006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Sintering is a complex industrial process that applies heat to fine particles of iron ore and other materials to produce sinter, a solidified porous material used in blast furnaces. The sintering process needs to be carefully adjusted, so that the combustion zone reaches the bottom of the material just before the discharge end. This is known as the burnthrough point. Many different parameters need to be finely tuned, including the speed and the quantities of the materials mixed. However, in order to achieve good results, sintering control requires precise feedback to adjust these parameters. This work presents a sensor to monitor the sintering burn-through point based on infrared thermography. The proposed procedure is based on the acquisition of infrared images at the end of the sintering process. At this position, infrared images contain the cross-section temperatures of the mixture. The objective of this work is to process this information to extract relevant features about the sintering process. The proposed procedure is based on four steps: key frame detection, region of interest detection, segmentation and feature extraction. The results indicate that the proposed procedure is very robust and reliable, providing features that can be used effectively to control the sintering process.<\/jats:p>","DOI":"10.3390\/s130810287","type":"journal-article","created":{"date-parts":[[2013,8,9]],"date-time":"2013-08-09T11:21:13Z","timestamp":1376047273000},"page":"10287-10305","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":41,"title":["Monitoring Sintering Burn-Through Point Using Infrared Thermography"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0551-3203","authenticated-orcid":false,"given":"Rub\u00e9n","family":"Usamentiaga","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, University of Oviedo, Campus de Viesques, Gij\u00f3n, Asturias 33204, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julio","family":"Molleda","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Oviedo, Campus de Viesques, Gij\u00f3n, Asturias 33204, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Garcia","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Oviedo, Campus de Viesques, Gij\u00f3n, Asturias 33204, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francisco","family":"Bulnes","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Oviedo, Campus de Viesques, Gij\u00f3n, Asturias 33204, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2013,8,9]]},"reference":[{"key":"ref_1","unstructured":"Kang, S.J.L. (2005). Sintering: Densification, Grain Growth and Microstructure, Butterworth-Heinemann."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2959","DOI":"10.1063\/1.1305516","article-title":"Review of temperature measurement","volume":"71","author":"Childs","year":"2000","journal-title":"Rev. Sci. Instrum."},{"key":"ref_3","unstructured":"Maldague, X.P. (2001). Theory and Practice of Infrared Technology for Nondestructive Testing, Wiley-Interscience."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1149","DOI":"10.1109\/TIM.2011.2178675","article-title":"Temperature measurement of molten pig iron with slag characterization and detection using infrared computer vision","volume":"61","author":"Usamentiaga","year":"2012","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"7756","DOI":"10.3390\/s130607756","article-title":"Robust vehicle detection under various environmental conditions using an infrared thermal camera and its application to road traffic flow monitoring","volume":"13","author":"Iwasaki","year":"2013","journal-title":"Sensors"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Castro, R., and Benthem, K. (2013). Sintering, Springer.","DOI":"10.1007\/978-3-642-31009-6"},{"key":"ref_7","unstructured":"German, R.M. (1996). Sintering Theory and Practice, Wiley-Interscience."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1109\/87.736747","article-title":"Event-based modeling and control for the burnthrough point in sintering processes","volume":"7","author":"Kwon","year":"1999","journal-title":"IEEE Trans. Control Syst. Technol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1109\/91.855919","article-title":"Fuzzy neural networks-based quality prediction system for sintering process","volume":"8","author":"Er","year":"2000","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S1006-706X(07)60018-1","article-title":"Multi-objective optimization and analysis model of sintering process based on BP neural network","volume":"14","author":"Zhang","year":"2007","journal-title":"J. Iron Steel Res. Int."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1051\/metal\/2009038","article-title":"Sintering process burn-through point modelization","volume":"106","author":"Posada","year":"2009","journal-title":"Revue de M\u00e9tallurgie"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S1006-706X(10)60188-4","article-title":"Data-driven prediction of sintering burn-through point based on novel genetic programming","volume":"17","author":"Shang","year":"2010","journal-title":"J. Iron Steel Res. Int."},{"key":"ref_13","unstructured":"Zhi-kun, C., Yu-tian, W., and Fu-bin, W. (2011, January 15\u201317). The Research of Control for Sintering Burn-Through Point Based on Finite-State Machine. Wuhan, China."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1179\/030192304225018118","article-title":"Optimisation of suction pressure for iron ore sintering by genetic algorithm","volume":"31","author":"Nath","year":"2004","journal-title":"Ironmak. Steelmak."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1109\/TIP.2004.823819","article-title":"Differentiation of discrete multidimensional signals","volume":"13","author":"Farid","year":"2004","journal-title":"IEEE Trans. Image Process."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/S0734-189X(88)80033-1","article-title":"A survey of the Hough transform","volume":"44","author":"Illingworth","year":"1988","journal-title":"Comput. Vis. Graph. Image Process."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"3017","DOI":"10.1117\/1.3514741","article-title":"Real-time line scan extraction from infrared images using the wedge method in industrial environments","volume":"19","author":"Usamentiaga","year":"2010","journal-title":"J. Electron Imaging"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Szeliski, R. (2010). Computer Vision: Algorithms and Applications, Springer-Verlag New York Inc.","DOI":"10.1007\/978-1-84882-935-0"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"582","DOI":"10.1016\/j.ndteint.2008.07.002","article-title":"Dynamic-template processing for passive thermograms: Applied to automotive stamping split detection","volume":"41","author":"Zhou","year":"2008","journal-title":"NDT E Int."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.infrared.2004.03.011","article-title":"Infrared image processing and data analysis","volume":"46","author":"Gonzalez","year":"2004","journal-title":"Infrared Phys. Technol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1016\/j.ndteint.2009.06.008","article-title":"Defect detection in thermal image for nondestructive evaluation of petrochemical equipments","volume":"42","author":"Heriansyah","year":"2009","journal-title":"NDT E Int."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1016\/j.infrared.2012.08.002","article-title":"Non-destructive inspection of drilled holes in reinforced honeycomb sandwich panels using active thermography","volume":"55","author":"Usamentiaga","year":"2012","journal-title":"Infrared Phys. Technol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.infrared.2013.01.004","article-title":"Automatic detection of impact damage in carbon fiber composites using active thermography","volume":"58","author":"Usamentiaga","year":"2013","journal-title":"Infrared Phys. Technol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1007\/BF00133570","article-title":"Snakes: Active contour models","volume":"1","author":"Kass","year":"1988","journal-title":"Int. J. Comput. Vis."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1109\/83.902291","article-title":"Active contours without edges","volume":"10","author":"Chan","year":"2001","journal-title":"IEEE Trans. Image Process."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Dietenbeck, T., Alessandrini, M., Friboulet, D., and Bernard, O. (2010, January 26\u201329). CREASEG: A Free Software for the Evaluation of Image Segmentation Algorithms Based on Level-Set. Hong Kong.","DOI":"10.1109\/ICIP.2010.5652991"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1940","DOI":"10.1109\/TIP.2008.2002304","article-title":"Minimization of region-scalable fitting energy for image segmentation","volume":"17","author":"Li","year":"2008","journal-title":"IEEE Trans. Image Process."},{"key":"ref_28","unstructured":"Zuiderveld, K. (1994). Graphics Gems IV, Academic Press Professional, Inc."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1117\/1.1631315","article-title":"Survey over image thresholding techniques and quantitative performance evaluation","volume":"13","author":"Sezgin","year":"2004","journal-title":"J. Electron. Imaging"},{"key":"ref_30","unstructured":"Duda, R.O., Hart, P.E., and Stork, D.G. (2001). Pattern Classification, John Willey & Sons."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/13\/8\/10287\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:48:32Z","timestamp":1760219312000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/13\/8\/10287"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,8,9]]},"references-count":30,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2013,8]]}},"alternative-id":["s130810287"],"URL":"https:\/\/doi.org\/10.3390\/s130810287","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,8,9]]}}}