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"It's a global color," he said.
A global color scheme using a color gradient was applied for visualization.
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Instead of exploiting a face detector to acquire the skin sample, we analyze the skin probability map P S obtained from the input color image using a global skin color model.
Color is usually represented as a histogram, which is a first-order statistical measure that captures global color distribution from an image.
However, the pattern does not have an influence on the global color mapping, since both cases, T (n1) and T (n2), show equivalent color mappings of their morphology and their MCEP patterns.
In air, the textile was shown to play a major role on the global color change of the sample; in anoxia, color change is relatively independent of the type of textile.
In our method, this is achieved exclusively based on the analysis of a skin probability map obtained using a global skin color model (we utilize the Bayesian classifier here; however, other skin color models may also be exploited for this purpose).
Afterwards, the propagation is carried out using the skin probability map obtained from a global skin color model.
Another approach adopted here consists in using a global skin color locus, which imposes a restriction on the adaptation [37, 38].
From the seeds, the 'skinness' is propagated either using the raw skin probability obtained from a global skin color model or using the probability computed in the DSPF space.
A flowchart of our method is presented in Figure 1, and examples of outcomes obtained at subsequent stages of the processing chain are demonstrated in Figure 2. First of all, an input image (Figure 2(a)) is converted into a skin probability map (Figure 2(b)) using a global skin color model based on the Bayesian classifier (the darker shade indicates higher skin probability).
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