Gradient vector flow: Difference between revisions

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'''Gradient vector flow''' ('''GVF'''), a [[computer vision]] framework introduced by [http://iacl.ece.jhu.edu/~chenyang/ Chenyang Xu] and [http://www.iacl.ece.jhu.edu/index.php/Prince Jerry L. Prince]

<ref name=":1">{{ Cite conference | last1 = Xu | first1 = C. | last2 = Prince | first2 = J.L. | title = Gradient Vector Flow: A New External Force for Snakes | book-title = Proc. IEEE Conf. on Comp. Vis. Patt. Recog. (CVPR) | place = Los Alamitos | publisher = Comp. Soc. Press | pages = 66–71 | date = June 1997 | url = 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 = 359-369| 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,. andIt is usually used to create a vector field from images that points to object edges from a distance. It's widely used in image analysis and computer vision applications for 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]]

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year = 1988 | volume = 1 | pages = 321-331 | last1 = Kass | first1 = M. | last2 = Witkin | first2 = A. | last3 = Terzopoulos | first3 = D.}}</ref>.

GVF helps to connect them by diffusing opposing edge gradient vectors across the gap; and even though there

is no actual edge map, active contour will converseconverge to the perceptual edge because the GVF vectors drive them there (see&nbsp;{{cite web |url=http://www.iacl.ece.jhu.edu/static/gvf |title=Active contours, deformable models, and gradient vector flow |last1 = Xu |

first1 = C. | last2 = Prince | first2 = J.L. |publisher = Online resource including code download | date = 2012}}).

This property carries over when there are so-called ''weak edges'' identified by regions of edge maps having lower values.