Convenient and smart wound scanner
Several wound evaluations are developed based on the change of color and wound size (surface area). Most of the wounds may have an overlying layer of black necrotic, yellow slough or red granulation tissue. During the wound healing process, wound color changes from black to yellow and finally red...
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2015
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my.ums.eprints.185302018-02-03T13:52:02Z https://eprints.ums.edu.my/id/eprint/18530/ Convenient and smart wound scanner Teh, Mun Yee QC Physics Several wound evaluations are developed based on the change of color and wound size (surface area). Most of the wounds may have an overlying layer of black necrotic, yellow slough or red granulation tissue. During the wound healing process, wound color changes from black to yellow and finally red. In this case, it is clear that from inspection of Red, Green and Blue plane intensity-level histograms for the different tissue in the wound. For the surface area of wound, it can be determined from wound tracings and photography. In this wound scanner, wound area data (changes of area) is generated using the comparison between two images taken at an earlier time and later time. This wound scanner combines two features analysis methods which are: color-based and size-based in order to increase the accuracy of monitoring wound healing process. The analysis is presented in both graph and pie chart from which give the user a clear illustration on the rate of recovery of their wound. The wound information can be stored accurately as the file name has information about date and time for future references. In conclusion, the software has been successfully developed to provide a simple and easy solution in monitoring the wound recovery rate. 2015 Academic Exercise NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/18530/1/Convenient%20and%20smart%20wound%20scanner.pdf Teh, Mun Yee (2015) Convenient and smart wound scanner. Universiti Malaysia Sabah. (Unpublished) |
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Several wound evaluations are developed based on the change of color and wound
size (surface area). Most of the wounds may have an overlying layer of black necrotic,
yellow slough or red granulation tissue. During the wound healing process, wound
color changes from black to yellow and finally red. In this case, it is clear that from
inspection of Red, Green and Blue plane intensity-level histograms for the different
tissue in the wound. For the surface area of wound, it can be determined from
wound tracings and photography. In this wound scanner, wound area data (changes
of area) is generated using the comparison between two images taken at an earlier
time and later time. This wound scanner combines two features analysis methods
which are: color-based and size-based in order to increase the accuracy of
monitoring wound healing process. The analysis is presented in both graph and pie
chart from which give the user a clear illustration on the rate of recovery of their
wound. The wound information can be stored accurately as the file name has
information about date and time for future references. In conclusion, the software
has been successfully developed to provide a simple and easy solution in monitoring
the wound recovery rate. |
format |
Academic Exercise |
author |
Teh, Mun Yee |
author_facet |
Teh, Mun Yee |
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Teh, Mun Yee |
title |
Convenient and smart wound scanner |
title_short |
Convenient and smart wound scanner |
title_full |
Convenient and smart wound scanner |
title_fullStr |
Convenient and smart wound scanner |
title_full_unstemmed |
Convenient and smart wound scanner |
title_sort |
convenient and smart wound scanner |
publishDate |
2015 |
url |
https://eprints.ums.edu.my/id/eprint/18530/1/Convenient%20and%20smart%20wound%20scanner.pdf https://eprints.ums.edu.my/id/eprint/18530/ |
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