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These gradients are called 'main gradient values'.
A global metric often uses image gradient values.
The eight gradient values according to the eight different directions (or neighbors) are called main gradient values.
Equations for the evolution of the gradient values are solved.
Finally, the following fuzzy rule is designed to connect gradient values with angle deviations, thus forming the 'fuzzy vectorial-gradient values'.
The Hessian may be approximated either from function or from gradient values.
The computation of the gradient values is performed through a discrete differentiation operator.
Similarly, high gradient values in exist on the boundaries of moving object of and.
Gradient infimum value is computed from the gradient values of difference images of consecutive frames.
If more than pixels in contain high gradient values, the segment is marked as foreground.
Figure 7(c) shows, where high gradient values exist on the boundary region of moving object.
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