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Data Tracking Quadrature Condition Using Joint Histogram Method

Arash Kalami

Data Tracking Quadrature Condition Using Joint Histogram Method

To use the characteristic points of the image is an excellent choice for accurate monitoring data. The main disadvantages are that the properties of the monitoring body easily affected by noise and the data must often large enough to facilitate the monitoring to be dimensioned. In contrast, the facial features Gabor jet features are better than other types of functions of mother wavelets. This paper shows a novel filter for Joint Histogram Method.