Quantification of the Area of the Highest Temperature in Equine Infrared Images
Infrared thermography is a valuable tool adapted for veterinary diagnostics with an increasing number of uses. However, proper image acquisition is hard, not only due to various factors affecting the image but also because informative image processing is a struggle. Thus, this study aims to quantify...
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Published in: | Applied sciences Vol. 13; no. 19; p. 11006 |
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Abstract | Infrared thermography is a valuable tool adapted for veterinary diagnostics with an increasing number of uses. However, proper image acquisition is hard, not only due to various factors affecting the image but also because informative image processing is a struggle. Thus, this study aims to quantify the area of maximum temperature (Area of Tmax) on the lateral surface of horses and foals to compare the Areas of Tmax between horses and foals and to compare two new approaches to the Area of Tmax quantification in horses. Infrared images were acquired with a thermographic camera from 12 horses and 12 foals in the same ambient condition. The backgrounds of the images were removed, and the images were then processed in Rainbow HC and a grayscale palette. Then, 10 images were created, showing the Areas of Tmax in gradually decreasing ranges. The evaluation of the Area of Tmax with two image processing methods showed higher maximum temperatures in foals, although the high-temperature values covered less of their total body area than in adult horses. The results indicate the struggles of foals with thermal homeostasis. The proposed methods—multi-colored annotated pixels on Rainbow HC and red-annotated pixels on grayscale—provide a common quality in the thermogram evaluation of foals and adult horses. Further research is essential to determine their diagnostic application. |
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AbstractList | Infrared thermography is a valuable tool adapted for veterinary diagnostics with an increasing number of uses. However, proper image acquisition is hard, not only due to various factors affecting the image but also because informative image processing is a struggle. Thus, this study aims to quantify the area of maximum temperature (Area of Tmax) on the lateral surface of horses and foals to compare the Areas of Tmax between horses and foals and to compare two new approaches to the Area of Tmax quantification in horses. Infrared images were acquired with a thermographic camera from 12 horses and 12 foals in the same ambient condition. The backgrounds of the images were removed, and the images were then processed in Rainbow HC and a grayscale palette. Then, 10 images were created, showing the Areas of Tmax in gradually decreasing ranges. The evaluation of the Area of Tmax with two image processing methods showed higher maximum temperatures in foals, although the high-temperature values covered less of their total body area than in adult horses. The results indicate the struggles of foals with thermal homeostasis. The proposed methods—multi-colored annotated pixels on Rainbow HC and red-annotated pixels on grayscale—provide a common quality in the thermogram evaluation of foals and adult horses. Further research is essential to determine their diagnostic application. |
Audience | Academic |
Author | Sikorska, Urszula Ciesielska, Anna Domino, Małgorzata Maśko, Małgorzata Borowska, Marta Zdrojkowski, Łukasz |
Author_xml | – sequence: 1 givenname: Małgorzata surname: Maśko fullname: Maśko, Małgorzata – sequence: 2 givenname: Marta orcidid: 0000-0003-0148-9912 surname: Borowska fullname: Borowska, Marta – sequence: 3 givenname: Urszula surname: Sikorska fullname: Sikorska, Urszula – sequence: 4 givenname: Anna surname: Ciesielska fullname: Ciesielska, Anna – sequence: 5 givenname: Łukasz orcidid: 0000-0002-4401-9016 surname: Zdrojkowski fullname: Zdrojkowski, Łukasz – sequence: 6 givenname: Małgorzata orcidid: 0000-0001-9436-1074 surname: Domino fullname: Domino, Małgorzata |
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Cites_doi | 10.3390/ani10122201 10.1080/10888700701353493 10.1016/j.jtherbio.2020.102664 10.3390/s22166052 10.1152/ajpregu.1999.276.2.R606 10.1079/9781780647876.0000 10.1016/j.cveq.2016.04.008 10.1016/j.applanim.2020.105071 10.1016/j.infrared.2020.103447 10.1523/JNEUROSCI.4729-07.2008 10.3390/app13063992 10.1016/S0749-0739(17)30077-9 10.1053/tvjl.2001.0618 10.1016/j.compag.2016.01.027 10.1590/S0102-09352006000400012 10.1186/s12917-021-02803-2 10.3390/ani11072022 10.1016/j.jevs.2016.11.002 10.1111/rda.13994 10.1016/S0737-0806(07)80253-X 10.1016/j.physbeh.2015.02.040 10.1207/s15327604jaws0903_3 10.1016/j.jtherbio.2015.11.011 10.2527/1990.68103152x 10.3390/ani12040444 10.1002/9780470682234 10.3390/ani12020195 10.1016/j.jevs.2016.06.005 10.1016/j.cbpa.2016.02.022 10.1016/S0306-4565(01)00076-6 10.3390/s22010191 10.3390/ani10112072 10.1017/S096272860002964X 10.1016/0306-4565(92)90013-6 10.1016/S0749-0739(17)30546-1 10.1111/j.2042-3306.1984.tb01936.x 10.1111/j.2042-3306.2010.00259.x |
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SubjectTerms | Age Animals Body fat Cameras Energy foal Heart rate Horses Humidity Image processing infrared thermography Malnutrition Metabolism Military electronics industry quantitative thermography Radiation Software Temperature Thermogenesis Thermography Veterinary medicine |
Title | Quantification of the Area of the Highest Temperature in Equine Infrared Images |
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