Gradient vector flow: Difference between revisions

Revision as of 05:58, 4 April 2020

Revision as of 06:01, 4 April 2020

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<ref name=":2">{{Cite journal | title = Snakes, Shapes, and Gradient Vector Flow| journal = IEEE Transactions on Image Processing | volume = 7| issue = 3| pages = 359-369| year = 1998| last1 = Xu | first1 = C.| last2 = Prince | first2 = J.L. | url = http://iacl.ece.jhu.edu/pubs/p084j.pdf}}</ref>, 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]]. In particular, it's commonly used in conjunction with [[active contour model]].

[[File:Gradient Vector Flow 3D Metasphere Example Result.png|thumb|300px|Results from Gradient Vector Flow algorithm applied to 3-D Metasphere data]]

==Background==