ENHANCED SKIN COLOUR CLASSIFIER USING RGB
RATIO MODEL
Ghazali Osman1
, Muhammad Suzuri Hitam2
and Mohd Nasir Ismail3
1,3Faculty of Information Management
Universiti Teknologi MARA, Kelantan, Malaysia
1
ghaza936@kelantan.uitm.edu.my
3nasir733@kelantan.uitm.edu.my
2Department of Computer Science
Universiti Malaysia Terengganu, Malaysia
suzuri@umt.edu.my
ABSTRACT
Skin colour detection is frequently been used for searching people, face detection, pornographic filtering
and hand tracking. The presence of skin or non-skin in digital image can be determined by manipulating
pixels’ colour and/or pixels’ texture. The main problem in skin colour detection is to represent the skin
colour distribution model that is invariant or least sensitive to changes in illumination condition. Another
problem comes from the fact that many objects in the real world may possess almost similar skin-tone
colour such as wood, leather, skin-coloured clothing, hair and sand. Moreover, skin colour is different
between races and can be different from a person to another, even with people of the same ethnicity.
Finally, skin colour will appear a little different when different types of camera are used to capture the
object or scene. The objective in this study is to develop a skin colour classifier based on pixel-based using
RGB ratio model. The RGB ratio model is a newly proposed method that belongs under the category of an
explicitly defined skin region model. This skin classifier was tested with SIdb dataset and two benchmark
datasets; UChile and TDSD datasets to measure classifier performance. The performance of skin classifier
was measured based on true positive (TF) and false positive (FP) indicator. This newly proposed model
was compared with Kovac, Saleh and Swift models. The experimental results showed that the RGB ratio
model outperformed all the other models in term of detection rate. The RGB ratio model is able to reduce
FP detection that caused by reddish objects colour as well as be able to detect darkened skin and skin
covered by shadow.
KEYWORDS
Image processing, Skin colour detection, Skin colour classifier, Pixel-based classification, RGB ratio model
Original Source URL : http://airccse.org/journal/ijsc/papers/3412ijsc01.pdf
No comments:
Post a Comment