Skin colour detection using the statistical decision theory
- Publication Type:
- Conference Proceeding
- Citation:
- Advanced Materials Research, 2013, 694 697 pp. 1891 - 1895
- Issue Date:
- 2013-06-12
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
2012006387OK.pdf | 742.65 kB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
Skin colour is an important attribute that can be used to detect human presence in an image. In this paper, a new method is introduced to detect skin pixels in an image based on statistical decision theory. The proposed method uses a parametric model to produce a pixel seed that represents a potential skin pixel. Then the validity of the pixel is confirmed using a moving window and the nonparametric sign test. Experiments show that the proposed method can produce very accurate skin detection results. © (2013) Trans Tech Publications, Switzerland.
Please use this identifier to cite or link to this item: