Gradient vector flow: Difference between revisions

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Although GVF was designed originally for the purpose of segmenting objects using active contours attracted to edges, it has been since

adapted and used for many alternative purposes. Some newer purposes including defining a continuous medial axis representation<ref name=":3">{{Cite journal | title = Variational curve skeletons using gradient vector flow | journal = IEEE Transactions on Pattern Analysis and Machine Intelligence | volume = 31| issue = 12| pages = 2257–2274| year = 2009| last1 = Hassouna | first1 = M.S.| last2 = Farag | first2 = A.Y. }}</ref>, regularizing image anisotropic diffusion algorithms<ref name=":YuxTIP06">{{Cite journal | title = GVF-based anisotropic diffusion models | journal = IEEE Transactions on Image Processing | volume = 15 | issue = 6 | pages = 1517--1524 | year = 2006 | last1 = Yu | first1 = H. | last2 = Chua | first2 = C.S. }}</ref>, finding the centers of ribbon-like objects<ref name=":HanxNI04">{{Cite journal | title = CRUISE: cortical reconstruction using implicit surface evolution | journal = NeuroImage | volume = 23 | number = 3 | pages = 997--1012 | year = 2004 | last1 = Han | first1 = X. | last2 = Pham | first2 = D.L. | last3 = Tosun | first3 = D. | last4 = Rettmann | first4 = M.E. | last5 = Xu | first5 = C. | last6 = Prince | first6 = J.L. | display-authors = etal }}</ref>, constructing graphs for optimal surface segmentations~\cite{<ref name=":MirxCMIG17"> {{Cite journal | title = Incorporation of gradient vector flow field in a multimodal graph-theoretic approach for segmenting the internal limiting membrane from glaucomatous optic nerve head-centered SD-OCT volumes | journal = Computerized Medical Imaging and Graphics | volume = 55 | pages = 87-94 | year = 2017 | last1 = Miri | first1 = M.S., | last2 = Robles | first2 = V.A. | last3 = Abràmoff | first3 = M.D. | last4 = Kwon | first4 = Y.H. | last5 = Garvin | first5 = M.K.}}</ref>, creating a shape prior~\cite{BaixCMIG18}, and much more.

==Related Concepts==