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Pregled bibliografske jedinice broj: 820680

Wound detection and reconstruction using RGB-D camera


Filko, Damir; Emmanuel Karlo, Nyarko; Cupec, Robert
Wound detection and reconstruction using RGB-D camera // Mipro 2016 proceedings
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2016. str. 1490-1495 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 820680 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Wound detection and reconstruction using RGB-D camera

Autori
Filko, Damir ; Emmanuel Karlo, Nyarko ; Cupec, Robert

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Mipro 2016 proceedings / - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2016, 1490-1495

ISBN
978-953-233-087-8

Skup
39. International convention on information and communication technology, electronics and microelectronics (MIPRO 2016)

Mjesto i datum
Opatija, Hrvatska, 30.05.2016. - 03.06.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
wound; detection; reconstruction; RGB-D

Sažetak
The advent of inexpensive RGB-D sensors pioneered by the original Kinect sensor, has paved the way for a lot of innovations in computer and robot vision applications. In this article, we propose a system which uses the new Kinect 2 sensor in a medical application for the purpose of detection and 3D reconstruction of chronic wounds. Wound detection is based on a per block classification of wound tissue using color histograms and the nearest neighbor approach. The 3D reconstruction is similar to KinectFusion where ICP is used for determining the rigid body transformation, color enhanced TSDF is applied for scene fusion, while the marching cubes algorithm is used for creating a surface mesh. The entire system is implemented in CUDA which enables real-time operation. The end result of the developed system is a precise 3D colored model which can be used for determining a correct therapy and treatment of chronic wounds.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Kliničke medicinske znanosti



POVEZANOST RADA


Projekti:
IZIP-2014-70

Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Emmanuel Karlo Nyarko (autor)

Avatar Url Robert Cupec (autor)

Avatar Url Damir Filko (autor)


Citiraj ovu publikaciju:

Filko, Damir; Emmanuel Karlo, Nyarko; Cupec, Robert
Wound detection and reconstruction using RGB-D camera // Mipro 2016 proceedings
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2016. str. 1490-1495 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Filko, D., Emmanuel Karlo, N. & Cupec, R. (2016) Wound detection and reconstruction using RGB-D camera. U: Mipro 2016 proceedings.
@article{article, author = {Filko, Damir and Emmanuel Karlo, Nyarko and Cupec, Robert}, year = {2016}, pages = {1490-1495}, keywords = {wound, detection, reconstruction, RGB-D}, isbn = {978-953-233-087-8}, title = {Wound detection and reconstruction using RGB-D camera}, keyword = {wound, detection, reconstruction, RGB-D}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Filko, Damir and Emmanuel Karlo, Nyarko and Cupec, Robert}, year = {2016}, pages = {1490-1495}, keywords = {wound, detection, reconstruction, RGB-D}, isbn = {978-953-233-087-8}, title = {Wound detection and reconstruction using RGB-D camera}, keyword = {wound, detection, reconstruction, RGB-D}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }




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