Abstract
We propose an efficient skin region segmentation methodology using low complexity fuzzy decision tree constructed over B, G, R colour space. Skin and nonskin training dataset has been generated by using various skin textures obtained from face images of diversity of age, gender, and race people and nonskin pixels obtained from arbitrary thousands of random sampling of nonskin textures. Compact fuzzy model with very few numbers of rules allow to raster scan consumer photographs and classify each pixel as skin or nonskin for various face and human detection applications for embedded platforms.
Original language | English |
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Title of host publication | Proceedings of INDICON 2009 - An IEEE India Council Conference |
DOIs | |
Publication status | Published - 1 Dec 2009 |
Externally published | Yes |
Event | Annual Conference of the IEEE India Council 2009 - Ahmedabad, India Duration: 18 Dec 2009 → 20 Dec 2009 https://ieeexplore.ieee.org/xpl/conhome/5409246/proceeding (Proceedings) |
Publication series
Name | Proceedings of INDICON 2009 - An IEEE India Council Conference |
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Conference
Conference | Annual Conference of the IEEE India Council 2009 |
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Abbreviated title | INDICON 2009 |
Country/Territory | India |
City | Ahmedabad |
Period | 18/12/09 → 20/12/09 |
Internet address |
Keywords
- Fuzzy decision trees
- Skin Segmentation