TY - GEN
T1 - Combinatorial color space models for skin detection in sub-continental human images
AU - Khaled, Shah Mostafa
AU - Saiful Islam, Md
AU - Rabbani, Md Golam
AU - Tabassum, Mirza Rehenuma
AU - Gias, Alim Ul
AU - Kamal, Md Mostafa
AU - Muctadir, Hossain Muhammad
AU - Shakir, Asif Khan
AU - Imran, Asif
AU - Islam, Saiful
PY - 2009
Y1 - 2009
N2 - Among different color models HSV, HLS, YIQ, YCbCr, YUV, etc. have been most popular for skin detection. Most of the research done in the field of skin detection has been trained and tested on human images of African, Mongolian and Anglo-Saxon ethnic origins, skin colors of Indian sub-continentals have not been focused separately. Combinatorial algorithms, without affecting asymptotic complexity can be developed using the skin detection concepts of these color models for boosting detection performance. In this paper a comparative study of different combinatorial skin detection algorithms have been made. For training and testing 200 images (skin and non skin) containing pictures of sub-continental male and females have been used to measure the performance of the combinatorial approaches, and considerable development in success rate with True Positive of 99.5% and True Negative of 93.3% have been observed.
AB - Among different color models HSV, HLS, YIQ, YCbCr, YUV, etc. have been most popular for skin detection. Most of the research done in the field of skin detection has been trained and tested on human images of African, Mongolian and Anglo-Saxon ethnic origins, skin colors of Indian sub-continentals have not been focused separately. Combinatorial algorithms, without affecting asymptotic complexity can be developed using the skin detection concepts of these color models for boosting detection performance. In this paper a comparative study of different combinatorial skin detection algorithms have been made. For training and testing 200 images (skin and non skin) containing pictures of sub-continental male and females have been used to measure the performance of the combinatorial approaches, and considerable development in success rate with True Positive of 99.5% and True Negative of 93.3% have been observed.
KW - Color segmentation
KW - Color space model
KW - Image processing
KW - Skin detection
UR - https://www.scopus.com/pages/publications/76549133908
U2 - 10.1007/978-3-642-05036-7_50
DO - 10.1007/978-3-642-05036-7_50
M3 - Conference contribution
AN - SCOPUS:76549133908
SN - 3642050352
SN - 9783642050350
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 532
EP - 542
BT - Visual Informatics
T2 - 1st International Visual Informatics Conference, IVIC 2009
Y2 - 11 November 2009 through 13 November 2009
ER -