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Colour-based wound assessment application for android smartphone / Nicholas Aaron Nigel

This study focuses on the subject of chronic wounds and the associated wound assessment. The high cost of medical expenses coupled with the overall difficulties in properly assessing a wound has proven to be a major problem associated with chronic wounds. The aim of this study is to create a functio...

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Bibliographic Details
Main Author: Nigel, Nicholas Aaron
Format: Thesis
Language:English
Published: 2016
Subjects:
Application software
Online Access:https://ir.uitm.edu.my/id/eprint/109824/1/109824.pdf
https://ir.uitm.edu.my/id/eprint/109824/
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id my.uitm.ir.109824
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spelling my.uitm.ir.1098242025-02-07T06:11:05Z https://ir.uitm.edu.my/id/eprint/109824/ Colour-based wound assessment application for android smartphone / Nicholas Aaron Nigel Nigel, Nicholas Aaron Application software This study focuses on the subject of chronic wounds and the associated wound assessment. The high cost of medical expenses coupled with the overall difficulties in properly assessing a wound has proven to be a major problem associated with chronic wounds. The aim of this study is to create a functional application that would help healthcare workers to capture wound images using their smartphones and assess wound stages based on wound colour from the acquired image. Data on real wound images obtained over the internet were processed using the proposed application to gauge its accuracy in assessing the wound stage. A usability test was also conducted to obtain data about the application’s performance. GrabCut is chosen as the algorithm for image segmentation because of its easy-to-use algorithm and HSV colour model is chosen as the main colour model in assessing wound colour. The application overall performed to its minimum expectation, whereby it can detect wound colours and assign stages albeit with rather low accuracy. Based on the result, it can be concluded that the application can perform its function but it will need more calibration and tweaking in order for it to accurately assign the appropriate wound stage. 2016 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/109824/1/109824.pdf Colour-based wound assessment application for android smartphone / Nicholas Aaron Nigel. (2016) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/109824.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Application software
spellingShingle Application software
Nigel, Nicholas Aaron
Colour-based wound assessment application for android smartphone / Nicholas Aaron Nigel
description This study focuses on the subject of chronic wounds and the associated wound assessment. The high cost of medical expenses coupled with the overall difficulties in properly assessing a wound has proven to be a major problem associated with chronic wounds. The aim of this study is to create a functional application that would help healthcare workers to capture wound images using their smartphones and assess wound stages based on wound colour from the acquired image. Data on real wound images obtained over the internet were processed using the proposed application to gauge its accuracy in assessing the wound stage. A usability test was also conducted to obtain data about the application’s performance. GrabCut is chosen as the algorithm for image segmentation because of its easy-to-use algorithm and HSV colour model is chosen as the main colour model in assessing wound colour. The application overall performed to its minimum expectation, whereby it can detect wound colours and assign stages albeit with rather low accuracy. Based on the result, it can be concluded that the application can perform its function but it will need more calibration and tweaking in order for it to accurately assign the appropriate wound stage.
format Thesis
author Nigel, Nicholas Aaron
author_facet Nigel, Nicholas Aaron
author_sort Nigel, Nicholas Aaron
title Colour-based wound assessment application for android smartphone / Nicholas Aaron Nigel
title_short Colour-based wound assessment application for android smartphone / Nicholas Aaron Nigel
title_full Colour-based wound assessment application for android smartphone / Nicholas Aaron Nigel
title_fullStr Colour-based wound assessment application for android smartphone / Nicholas Aaron Nigel
title_full_unstemmed Colour-based wound assessment application for android smartphone / Nicholas Aaron Nigel
title_sort colour-based wound assessment application for android smartphone / nicholas aaron nigel
publishDate 2016
url https://ir.uitm.edu.my/id/eprint/109824/1/109824.pdf
https://ir.uitm.edu.my/id/eprint/109824/
_version_ 1823540795602370560
score 13.23648

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