TY - GEN
T1 - A PFA based choice of color components based skin detection approach
AU - Chenaoua, K.
AU - Bouridane, A.
PY - 2007
Y1 - 2007
N2 - Detection of human skin in colored images has always been performed in known standard color spaces. In this paper a new color space coordinate is proposed based on popular existing color spaces but taking into account the most representative ones. Color components are considered features from which a representative set is derived using the Principal Feature Analysis (PFA). An elliptical model based classifier is used to test the performance of the proposed space transformation. A Markov Random Field is used to model the relations among neighboring pixels to further assign pixels to their final classes.
AB - Detection of human skin in colored images has always been performed in known standard color spaces. In this paper a new color space coordinate is proposed based on popular existing color spaces but taking into account the most representative ones. Color components are considered features from which a representative set is derived using the Principal Feature Analysis (PFA). An elliptical model based classifier is used to test the performance of the proposed space transformation. A Markov Random Field is used to model the relations among neighboring pixels to further assign pixels to their final classes.
UR - https://www.scopus.com/pages/publications/51549096241
U2 - 10.1109/ISSPA.2007.4555610
DO - 10.1109/ISSPA.2007.4555610
M3 - Conference contribution
AN - SCOPUS:51549096241
SN - 1424407796
SN - 9781424407798
T3 - 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
BT - 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
ER -