Modelos matemáticos para redução do espectro provável e detecção de tons de pele humana em imagens coloridas representadas nos espaços de cores RGB e HSV
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2015-04-14
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Universidade Federal de Goiás
Resumo
Skin detection techniques are widely applied to locate and to track parts of the human
body with the objective of posterior recognition, having received great attention in recent
years in the development of research in reason to the innumerable possible applications
with the detection and tracking of faces, identification of naked people, identification
of hand movements, among others. The present work proposed the construction of
mathematical models for the detection of human skin tones such as, white, yellow, brown
and black in digital color images in the RGB and HSV color spaces. Using a set of
human skin tone samples, mathematical models were constructed describing how the
variables of each color pixel in the RGB and HSV systems interrelate. To understand
the answer of the proposed system, the mechanistic model was chosen, dividing it into
components, observing the behavior of each part and the interactions that occurred
between them. The proposed RGB filter reached a 98.3657% reduction index of the
spectrum, classifying only 1.6343% (253,159 tones) as possible skin tones and the HSV
model reduced the likely spectrum to 2.5352% (94,030 tones), discarding 97.4648% of
the colors as candidates for human skin tones. When the proposed filters, were applied
to the reduction of the probable range of human skin tones, well-defined bands in the
geometric representation of the color spaces were selected. The experimental validation
of the effectiveness of the RGB model showed that the proposed filter has conservative
characteristics in the detection of skin, mistakenly classifying as skin only 6.7163% of
the sample space. The proposed RGB filter has low sensitivity of 61.0831% and high
specificity of 95.2769% in the detection of human skin in digital images. The HSV model
had rates of (54,6333%) low sensitivity and (92,6390%) high specificity, considered low
when compared to the performance of the other algorithms.
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FEITOSA, R. D. F. Modelos matemáticos para redução do espectro provável e detecção de tons de pele humana em imagens coloridas representadas nos espaços de cores RGB e HSV. 2015. 110 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2015.