Gradient vector flow: Difference between revisions

Revision as of 02:33, 21 October 2019

Revision as of 02:34, 21 October 2019

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* Edge detection

* Vector diffusion

* Vector �fieldfield convolution (VCF)

<br />'''Definition'''

Gradient vector flow is the vector fi�eldfield that is produced by a process that

smooths and diffuses an input vector fi�eldfield, and is usually used to create a vector

field that points to object edges from a distance.

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active contour or a snake, so that it passes through the edge map in a smooth

way, therefore de�finingdefining the object itself.

A common way to encourage a deformable model to move toward the edge

map is to take the spatial gradient of the edge map, yielding a vector �fieldfield.

Since the edge map has its highest intensities directly on the edge and drops to

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move, and this is the correct behavior when the contour rests on the peak of the

edge map itself. However, because the edge itself is de�fineddefined by local operators,

these gradient vectors will also be zero far away from the edge and therefore the