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Pregled bibliografske jedinice broj: 933126

Časopis

Autori: Filko, Damir; Cupec, Robert; Nyarko, Emmanuel Karlo
Naslov: Wound measurement by RGB-D camera
Izvornik: Machine vision and applications (0932-8092) 29 (2018), 4; 633-654
Vrsta rada: članak
Ključne riječi: Chronic wound ; Detection ; 3D reconstruction ; Segmentation ; Measurement ; RGB-D camera
Sažetak:
The robot and computer vision community has seen a lot of novelties developed in the past few years as a result of the appearance of cheap RGB-D sensors spearheaded by the Kinect sensor. In this paper, the feasibility of using an RGB-D camera in detecting, segmenting, reconstructing and measuring chronic wounds in 3D is explored. The wound is detected by implementing nearest-neighbor approach on color histograms generated from the image. The proposed wound segmentation procedure extracts the wound contour using visual and geometrical information of the surface. A procedure comparable to KinectFusion is used for the 3D reconstruction of the wound. In order to achieve real-time performance, the whole system is realized in CUDA. The resulting system provides an accurate colored 3D model of the segmented wound and enables the user to determine the volume, area and perimeter of the wound, thereby aiding in the selection of a suitable therapy. The developed system is experimentally evaluated using the Saymour II wound care model by VATA Inc.
Projekt / tema: IZIP-2014-70
Izvorni jezik: ENG
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo,Kliničke medicinske znanosti
URL Internet adrese: https://link.springer.com/article/10.1007/s00138-018-0920-4
Broj citata:
Altmetric:
DOI: 10.1007/s00138-018-0920-4
URL cjelovitog teksta:
Časopis izlazi u samo elektroničkom izdanju: NE
Google Scholar: Wound measurement by RGB-D camera
Upisao u CROSBI: Damir Filko (damir.filko@etfos.hr), 3. Tra. 2018. u 09:25 sati



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