TY  - CONF
A1  - Hani, A.F.M.
A1  - Eltegani, N.M.
A1  - Hussein, S.H.
A1  - Jamil, A.
A1  - Gill, P.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-76449112045&doi=10.1109%2fISIEA.2009.5356484&partnerID=40&md5=6c47f3f5a216efe431e9dc1a0fb13e3a
N1  - cited By 3; Conference of 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 ; Conference Date: 4 October 2009 Through 6 October 2009; Conference Code:79286
ID  - scholars520
CY  - Kuala Lumpur
EP  - 139
SN  - 9781424446827
N2  - Measuring changes in ulcer during treatment can indicate the effectiveness of a treatment regime. Identifying appropriate treatment regime will reduce healing time. Current methods for measuring wound size are subjective and require manual contact with the wound. With the availability of techniques which can provide accurate depth measurement and surface profile, computer programs that can construct solids out of the wounds and quantitatively compute volume are indispensable. The development of volume estimation algorithms from 3D skin surface images to monitor wounds progress throughout treatment is discussed. The performance of midpoint projection and convex hull approximation (Delaunay tetrahedralization) methods, for solid reconstruction and volume computation, is detailed. Results of calculating wound models volume indicate that convex hull reconstruction preceded by surface division outperforms midpoint projection in case of regular boundary models. The error ranged from (0-2.8) for convex hull reconstruction, while midpoint projection error range was from (0-6.5). © 2009 IEEE.
Y1  - 2009///
KW  - 3D surface; Boundary models; Computer program; Convex hull; Delaunay tetrahedralization; Depth measurements; Healing time; Projection error; Quantitative assessments; Skin surfaces; Solid reconstruction; Surface division; Surface profiles; Volume estimations
KW  -  Computational geometry; Industrial electronics; Repair; Surface reconstruction
KW  -  Three dimensional
TI  - Quantitative assessment of ulcers volume using 3D surface imaging
VL  - 1
SP  - 134
AV  - none
ER  -