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"> C. Xu and J.L. Prince, "Gradient Vector Flow: A New External Force for Snakes," Proc. IEEE Conf. on Comp. Vis. Patt. Recog. (CVPR), Los Alamitos: Comp. Soc. Press, pp. 66–71, June 1997, http://iacl.ece.jhu.edu/pubs/p087c.pdf</ref>
<ref name=":2">{{Cite journal | title = Snakes, Shapes, and Gradient Vector Flow| journal = IEEE Transactions on Image Processing | volume = 7| issue = 3| pages = 359| year = 1998| last1 = Xu | first1 = C.| authorlink1 = Chenyang Xu| last2 = Prince | first2 = J. L. | authorlink2 = Jerry Prince| 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]].

==Background==