TY - GEN
T1 - A review and comparative study of skin segmentation techniques for handheld imaging devices
AU - Ungureanu, Adrian Stefan
AU - Javidnia, Hossein
AU - Costache, Claudia
AU - Corcoran, Peter
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/3/10
Y1 - 2016/3/10
N2 - A number of well-known algorithms for skin segmentation in unconstrained acquisition conditions are tested across many of the best known color spaces and some less well known ones. Although in theory each color space provides the exact same information, our results show that certain color spaces are more optimal where fast segmentation with limited resources is required. A comparative analysis and discussion of the results are presented and conclusions drawn as to the effectiveness of a range of different color spaces.
AB - A number of well-known algorithms for skin segmentation in unconstrained acquisition conditions are tested across many of the best known color spaces and some less well known ones. Although in theory each color space provides the exact same information, our results show that certain color spaces are more optimal where fast segmentation with limited resources is required. A comparative analysis and discussion of the results are presented and conclusions drawn as to the effectiveness of a range of different color spaces.
UR - https://www.scopus.com/pages/publications/84965156676
U2 - 10.1109/ICCE.2016.7430717
DO - 10.1109/ICCE.2016.7430717
M3 - Conference Publication
T3 - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016
SP - 530
EP - 531
BT - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016
A2 - Bellido, Francisco J.
A2 - Diaz-Sanchez, Daniel
A2 - Vun, Nicholas C. H.
A2 - Dolar, Carsten
A2 - Ling, Wing-Kuen
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Consumer Electronics, ICCE 2016
Y2 - 7 January 2016 through 11 January 2016
ER -