Gradient vector flow: Difference between revisions

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'''Gradient Vector Flow'''

'''Gradient vector flow''' ('''GVF'''), a [[computer vision]] framework introduced by [[Chenyang Xu]] and [[Jerry L. Prince]] <ref name=":1" />, is the vector field that is produced by a process that smooths and diffuses an input vector field, and is usually used to create a vector field that points to object edges from a distance. It's widely used in object tracking, shape recognition, [[Image segmentation|segmentation]], and [[edge detection]].

Chenyang Xu, Silicon Valley Future Academy

Jerry L. Prince, Johns Hopkins University

'''Synonyms:''' GVF

Gradient vector flow is the vector field that is produced by a process that smooths and diffuses an input vector field, and is usually used to create a vector field that points to object edges from a distance.

==Background==

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* [http://homepages.inf.ed.ac.uk/cgi/rbf/CVONLINE/entries.pl?TAG709 Snakes: Active Contours, CVOnline]

* [[Edge detection]]

==References==

{{reflist|2}}