Tsai, A.[Andy],
Yezzi, Jr., A.J.[Anthony J.],
Willsky, A.S.[Alan S.],
Curve evolution implementation of the Mumford-Shah functional for image
segmentation, denoising, interpolation, and magnification,
IP(10), No. 8, August 2001, pp. 1169-1186.
IEEE DOI Link
0108
BibRef
Yezzi, Jr., A.J.[Anthony J.],
Tsai, A.[Andy],
Willsky, A.S.[Alan S.],
A Fully Global Approach to Image Segmentation via Coupled Curve
Evolution Equations,
JVCIR(13), No. 1/2, March/June 2002, pp. 195-216.
WWW Version.
0204
BibRef
Earlier: A2, A1, A3:
A Curve Evolution Approach to Smoothing and Segmentation Using the
Mumford-Shah Functional,
CVPR00(I: 119-124).
IEEE DOI Link
0005
BibRef
Earlier:
Binary and ternary flows for image segmentation,
ICIP99(II:1-5).
IEEE Abstract.
BibRef
And:
A Statistical Approach to Snakes for Bimodal and Trimodal Imagery,
ICCV99(898-903).
IEEE DOI Link See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems.
BibRef
Tsai, A.[Andy],
Yezzi, Jr., A.J.[Anthony J.],
Wells, III, W.M.[William M.],
Tempany, C.[Clare],
Tucker, D.[Dewey],
Fan, A.[Ayres],
Grimson, W.E.L.[W. Eric L.],
Willsky, A.S.[Alan S.],
Model-Based Curve Evolution Technique for Image Segmentation,
CVPR01(I:463-468).
IEEE Abstract.
0110
Award, CVPR, Student HM. For known objects.
BibRef
Kim, J.[Junno],
Tsai, A.,
Cetin, M.,
Willsky, A.S.,
A curve evolution-based variational approach to simultaneous image
restoration and segmentation,
ICIP02(I: 109-112).
IEEE Abstract.
0210
BibRef
Tsai, A.,
Curve Evolution, Boundary-value Stochastic Processes, the Mumford-Shah
Problem, and Missing Data Applications,
ICIP00(Vol III: 588-591).
IEEE Abstract.
0008
See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems.
BibRef
Unal, G.[Gozde],
Krim, H.[Hamid],
Yezzi, A.J.[Anthony J.],
Stochastic differential equations and geometric flows,
IP(11), No. 12, December 2002, pp. 1405-1416.
IEEE DOI Link
0301
Local stochastic interpretation of the basic curve smoothing equation,
the geometric heat equation, this evolution amounts to a tangential
diffusion movement of the particles along the contour.
BibRef
Unal, G.[Gozde],
Yezzi, A.J.[Anthony J.],
Krim, H.[Hamid],
Information-Theoretic Active Polygons for Unsupervised Texture
Segmentation,
IJCV(62), No. 3, May 2005, pp. 199-220.
Springer DOI Link
0501
BibRef
Unal, G.[Gozde],
Krim, H.[Hamid],
Yezzi, A.J.[Anthony J.],
Fast Incorporation of Optical Flow Into Active Polygons,
IP(14), No. 6, June 2005, pp. 745-759.
IEEE DOI Link
0505
BibRef
Earlier:
Active polygon for object tracking,
3DPVT02(696-699).
0206
BibRef
Unal, G.,
Krim, H.,
Feature-preserving Flows: A Stochastic Differential Equation's View,
ICIP00(Vol I: 896-899).
IEEE Abstract.
0008
BibRef
Unal, G.,
Nain, D.,
Ben-Arous, G.,
Shimk-In, N.,
Tannenbaum, A.,
Zeitouni, O.,
Algorithms for stochastic approximations of curvature flows,
ICIP03(II: 651-654).
IEEE Abstract.
0312
BibRef
Li, C.M.[Chun-Ming],
Liu, J.D.[Jun-Dong],
Fox, M.D.[Martin D.],
Segmentation of external force field for automatic initialization and
splitting of snakes,
PR(38), No. 11, November 2005, pp. 1947-1960.
WWW Version.
0509
BibRef
Earlier:
Segmentation of Edge Preserving Gradient Vector Flow: An Approach
Toward Automatically Initializing and Splitting of Snakes,
CVPR05(I: 162-167).
IEEE DOI Link
0507
See also Distance Regularized Level Set Evolution and Its Application to Image Segmentation.
BibRef
Michailovich, O.V.[Oleg V.],
Rathi, Y.[Yogesh],
Tannenbaum, A.[Allen],
Image Segmentation Using Active Contours Driven by the Bhattacharyya
Gradient Flow,
IP(16), No. 11, November 2007, pp. 2787-2801.
IEEE DOI Link
0709
BibRef
Earlier: A2, A3, A1:
Segmenting Images on the Tensor Manifold,
CVPR07(1-8).
IEEE DOI Link
0706
See also high-resolution technique for ultrasound harmonic imaging using sparse representations in gabor frames, A.
BibRef
Liu, L.X.[Li-Xiong],
Bovik, A.C.[Alan C.],
Active contours with neighborhood-extending and noise-smoothing
gradient vector flow external force,
JIVP(2012), No. 1 2012, pp. xx-yy.
WWW Version.
1202
BibRef
Derraz, F.[Foued],
Taleb-Ahmed, A.[Abdelmalik],
Betrouni, N.[Nacim],
Chikh, A.[Azzeddine],
Pinti, A.[Antonio],
Bereksi-Reguig, F.[Fethi],
Unsupervised texture segmentation using active contours driven by the
Chernoff gradient flow,
ICIP09(3005-3008).
IEEE DOI Link
0911
BibRef
Derraz, F.[Foued],
Taleb-Ahmed, A.[Abdelmalik],
Pinti, A.[Antonio],
Peyrodie, L.[Laurent],
Betrouni, N.[Nacim],
Chikh, A.[Azzeddine],
Bereksi-Reguig, F.[Fethi],
Fast Unsupervised Texture Segmentation Using Active Contours Model
Driven by Bhattacharyya Gradient Flow,
CIARP09(193-200).
Springer DOI Link
0911
BibRef
Derraz, F.,
Taleb-Ahmed, A.,
Peyrodie, L.,
Pinti, A.,
Chikh, A.,
Bereksi-Reguig, F.,
Active Contours Based Battachryya Gradient Flow for Texture
Segmentation,
CISP09(1-6).
IEEE DOI Link
0910
BibRef
Zhao, B.[Bin],
Cheng, S.Y.[Si-Yuan],
Zhang, X.W.[Xiang-Wei],
Zhang, G.Y.[Guo-Ying],
B-Spline Curve Fitting Based on Gradient Vector Flow Deformable Models,
CISP09(1-4).
IEEE DOI Link
0910
BibRef
Wang, Y.Q.,
Chen, W.F.,
Yu, T.L.,
Zhang, Y.T.,
Hessian based image structure adaptive gradient vector flow for
parametric active contours,
ICIP10(649-652).
IEEE DOI Link
1009
BibRef
Lu, S.P.[Shao-Pei],
Wang, Y.Q.[Yuan-Quan],
A Reformative Gradient Vector Flow Based on Beltrami Flow,
CISP09(1-4).
IEEE DOI Link
0910
BibRef
Tang, J.S.[Jin-Shan],
Acton, S.T.,
A DCT based gradient vector flow snake for object boundary detection,
Southwest04(157-161).
IEEE Abstract.
0411
BibRef
Yu, Y.J.[Yang-Jian],
Acton, S.T.,
Active contours with area-weighted binary flows for segmenting low SNR
imagery,
ICIP03(I: 129-132).
IEEE Abstract.
0312
BibRef
Yu, H.G.[Hong-Gang],
Pattichis, M.S.,
Goens, M.B.,
Robust Segmentation of Freehand Ultrasound Image Slices Using Gradient
Vector Flow Fast Geometric Active Contours,
Southwest06(115-119).
IEEE DOI Link
0603
BibRef
Rivera-Rovelo, J.[Jorge],
Herold, S.[Silena],
Bayro-Corrochano, E.[Eduardo],
Object Segmentation Using Growing Neural Gas and Generalized Gradient
Vector Flow in the Geometric Algebra Framework,
CIARP06(306-315).
Springer DOI Link
0611
See also Use of Geometric Algebra for 3D Modeling and Registration of Medical Data, The.
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Interactive Region Segmentations, Snakes, User-Assisted Segmentation .