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The baseline system has been designed using modified histogram based fuzzy color filter (MHFC) technique.
To solve this problem, a modified histogram based detector is proposed.
Our color observation model is composed of a 2D histogram based on Hue and Saturation and a 1D histogram based on value.
BBHE partitions the histogram based on the image mean whereas DSIHE uses image median to partition.
Besides, a histogram based saliency detection scheme is employed for initialization.
(E_i) was derived via the frequency histogram based on the measured data.
Similar(43)
A 48-dimensional color histogram-based feature is used for this purpose.
As we have histogram-based feature vectors, we discuss here on positive definite kernels which are proper for histograms and then on characteristic kernels tailored on histogram-based information.
Other brightness preserving histogram-based enhancement techniques are based on histogram matching (HM) procedure.
And we consider the histogram-based feature as our final feature representation for each face image.
Both methods search for maximal local similarity by evaluating a histogram-based measure.
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