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Authors: Ivan Miguel Pires 1 and Nuno M. Garcia 2

Affiliations: 1 University of Beira Interior and Altranportugal, Portugal ; 2 University of Beira Interior and Universidade Lusófona de Humanidades e Tecnologias, Portugal

Keyword(s): Wound, Detection, Contours, Area, Mobile Device, Mobile Application, Wound Area Assessment, OpenCV, Java, Threshold, Image Processing, Color Histograms, Gauss Filter, Mobile Platforms, Android, iOS.

Abstract: This research aims to discover methods for the detection of the area of a wound using mobile devices. These devices have low memory and low processing capacity and they need the use of low complexity operations to identify a wound. The calculation of the wounded area consists of three phases, there are: image acquisition, image processing, surface reconstruction and calculations. This research is related to the use a mobile device to identify wound contours and area in a captured image. This image can be captured with a camera in a smartphone and the wound area is calculated based on the distance of the surface area and the resolution of the image captured. The main study in this research is the image processing in a mobile device, due to the limitations of these devices. However, the application developed during this research was developed for desktop, using the OpenCV library that is compatible with the Android platform and Java desktop technologies. During this research, the deve loped code written in Java will be easily adapted to the Android platform. The desktop application developed is available in a free repository for testing. (More)

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Paper citation in several formats:
Miguel Pires, I. and M. Garcia, N. (2015). Wound Area Assessment using Mobile Application. In Proceedings of the International Conference on Biomedical Electronics and Devices (BIOSTEC 2015) - SmartMedDev; ISBN 978-989-758-071-0; ISSN 2184-4305, SciTePress, pages 271-282. DOI: 10.5220/0005236502710282

@conference{smartmeddev15,
author={Ivan {Miguel Pires}. and Nuno {M. Garcia}.},
title={Wound Area Assessment using Mobile Application},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices (BIOSTEC 2015) - SmartMedDev},
year={2015},
pages={271-282},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005236502710282},
isbn={978-989-758-071-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Biomedical Electronics and Devices (BIOSTEC 2015) - SmartMedDev
TI - Wound Area Assessment using Mobile Application
SN - 978-989-758-071-0
IS - 2184-4305
AU - Miguel Pires, I.
AU - M. Garcia, N.
PY - 2015
SP - 271
EP - 282
DO - 10.5220/0005236502710282
PB - SciTePress