Adaptive skin detection in colour images using error signal space

Maciej Papież, Michał Kawulok


In this paper we present a study on skin detection methods which operate in an error signal, obtained from the RGB colour space. Using this single-dimensional space, a global skin colour model was defined, as well as a facial region-based adaptation scheme was proposed recently. Our contribution lies in investigating the importance of how the facial regions are defined, and also we extend the existing methods that operate in the error space. Obtained experimental results indicate that the proposed improvements help better exploit the potential of the error space, and they reduce the skin detection errors.


skin detection; skin segmentation; image processing; adaptive skin colour modelling

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