This paper presents a new approach for skin detection in colour images. The method is based on the building of a dynamic clustering in the YCbCr colour space, taking into account the illumination conditions of the examined image. The results of a comparative evaluation on a publicly available database, show that the proposed method outperforms well known rule based static methods, both in qualitative and quantitative terms.

Dynamic clustering for skin detection in YCbCr colour space

Brancati N;De Pietro G;Frucci M;Gallo L
2016

Abstract

This paper presents a new approach for skin detection in colour images. The method is based on the building of a dynamic clustering in the YCbCr colour space, taking into account the illumination conditions of the examined image. The results of a comparative evaluation on a publicly available database, show that the proposed method outperforms well known rule based static methods, both in qualitative and quantitative terms.
2016
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
978-985-553-383-3
skin colour
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/320997
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