8.7.1.6 Snakes, Applications

Chapter Contents (Back)
Deformable Curves. Snakes. Active Contours. Curve Evolution. Tracking.

Yamada, H., Merritt, C., and Kasvand, T.,
Recognition of Kidney Glomerulus by Dynamic Programming Matching Method,
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Drewniok, C.,
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A Snake for Model Based Segmentation of Biomedical Images,
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Automatic Detection of the Boundary of the Calcaneus from Ultrasound Parametric Images Using an Active Contour Model: Clinical Assessment,
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Amini, A.A., Chen, Y.S., Curwen, R.W., Mani, V., Sun, J.,
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Kang, D.J.[Dong Joong],
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Ladret, P.[Patricia], Latombe, B.[Bertrand], Granada, F.[Francesc],
Active Contour Algorithm: An Attractive Tool for Snow Avalanche Analysis,
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Senasli, M., Garnero, L., Herment, A., Mousseaux, E.,
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McInerney, T.[Tim], Terzopoulos, D.[Demetri],
T-Snakes: Topology Adaptive Snakes,
MIA(4), 2000, pp. 73-91. BibRef 0001
Earlier:
Topologically Adaptable Snakes,
ICCV95(840-845).
IEEE DOI Merging and splitting snakes to better describe the object. BibRef

McInerney, T.[Tim], Terzopoulos, D.[Demetri],
Medical Image Segmentation Using Topologically Adaptable Snakes,
CVRMed95(XX-YY) BibRef 9500

Yezzi, Jr., A.J., Kichenassamy, S., Kumar, A., Olver, P.J., Tannenbaum, A.R.,
A geometric snake model for segmentation of medical imagery,
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IEEE Top Reference. 0205
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Giraldi, G.A.[Gilson A.], Strauss, E.[Edilberto], Oliveira, A.A.F.[Antonio A.F.],
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Elsevier DOI 0301
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Earlier:
A Boundary Extraction Method based on Dual-T-Snakes and Dynamic Programming,
CVPR00(I: 44-49).
IEEE DOI 0005
Snakes BibRef

Giraldi, G.A.[Gilson A.], Oliveira, A.A.F.[Antonio A. F.],
Invariant Snakes And Initialization Of Deformable Models,
IJIG(4), No. 3, July 2004, pp. 363-384. 0407
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Parari, A.E.C.[Alvaro E. Cuno], Esperança, C.[Claudio], Oliveira, A.A.F.[Antonio A. F.],
Shape-sensitive MLS deformation,
VC(25), No. 10, October 2009, pp. xx-yy.
Springer DOI 0910
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Keeling, S.L.[Stephen L.], Ring, W.[Wolfgang],
Medical Image Registration and Interpolation by Optical Flow with Maximal Rigidity,
JMIV(23), No. 1, July 2005, pp. 47-65.
Springer DOI 0505
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Hoetzl, E.[Elena], Ring, W.[Wolfgang],
An Active Contour Approach for a Mumford-Shah Model in X-Ray Tomography,
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Springer DOI 0911
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Keeling, S.L.[Stephen L.],
Generalized Rigid and Generalized Affine Image Registration and Interpolation by Geometric Multigrid,
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Springer DOI 0712
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Chang, J.S.[Jae Sik], Kim, E.Y.[Eun Yi], Kim, H.J.[Hang Joon],
Facial boundary detection with an active contour model,
PRL(28), No. 1, 1 January 2007, pp. 64-74.
Elsevier DOI 0611
Facial boundary detection; Active contour model; Level sets; Skin-color model; Markov random field BibRef

Djemal, K.[Khalifa], Puech, W.[William], Rossetto, B.[Bruno],
Automatic Active Contours Propagation In A Sequence Of Medical Images,
IJIG(6), No. 2, April 2006, pp. 267-292. 0604
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Fundana, K.[Ketut], Overgaard, N.C.[Niels C.], Heyden, A.[Anders],
Variational Segmentation of Image Sequences Using Region-Based Active Contours and Deformable Shape Priors,
IJCV(80), No. 3, December 2008, pp. xx-yy.
Springer DOI 0810
BibRef
Earlier:
Deformable Shape Priors in Chan-Vese Segmentation of Image Sequences,
ICIP07(I: 285-288).
IEEE DOI 0709
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And:
Variational Segmentation of Image Sequences Using Deformable Shape Priors,
SCIA07(31-40).
Springer DOI 0706

See also Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model, A. BibRef

Overgaard, N.C.[Niels C.], Fundana, K.[Ketut], Heyden, A.[Anders],
Pose Invariant Shape Prior Segmentation Using Continuous Cuts and Gradient Descent on Lie Groups,
SSVM09(684-695).
Springer DOI 0906
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Solem, J.E.[Jan Erik],
Geodesic Curves for Analysis of Continuous Implicit Shapes,
ICPR06(I: 43-46).
IEEE DOI 0609
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And: ICPR06(I: 852-855).
IEEE DOI 0609
BibRef

Solem, J.E.[Jan Erik], Heyden, A.[Anders],
Variational Segmentation Using Dynamical Models for Rigid Motion,
SCIA07(213-222).
Springer DOI 0706
BibRef

Solem, J.E.[Jan Erik], Overgaard, N.C.[Niels C.], Persson, M.[Markus], Heyden, A.[Anders],
Fast Variational Segmentation using Partial Extremal Initialization,
CVPR06(I: 1099-1105).
IEEE DOI 0606
BibRef

Overgaard, N.C.[Niels C.], Solem, J.E.[Jan Erik],
The Variational Origin of Motion by Gaussian Curvature,
SSVM07(430-441).
Springer DOI 0705
BibRef
Earlier:
An Analysis of Variational Alignment of Curves in Images,
ScaleSpace05(480-491).
Springer DOI 0505
BibRef

Solem, J.E.[Jan Erik], Overgaard, N.C.[Niels C.], Heyden, A.[Anders],
Initialization Techniques for Segmentation with the Chan-Vese Model,
ICPR06(II: 171-174).
IEEE DOI 0609

See also Active contours without edges. BibRef

Karlsson, A.[Adam], Overgaard, N.C.[Niels C.],
Theory for Variational Area-Based Segmentation Using Non-Quadratic Penalty Functions,
CVPR05(II: 1089-1096).
IEEE DOI 0507
BibRef

Karlsson, A.[Adam], Stråhlén, K.[Kent], Heyden, A.[Anders],
Segmentation of Histopathological Sections Using Snakes,
SCIA03(595-602).
Springer DOI 0310
BibRef

Sun, C.M.[Chang-Ming], Vallotton, P.[Pascal], Wang, D.D.[Da-Dong], Lopez, J.[Jamie], Ng, Y.[Yvonne], James, D.[David],
Membrane boundary extraction using circular multiple paths,
PR(42), No. 4, April 2009, pp. 523-530.
Elsevier DOI 0812
Membrane; Membrane assay; High content analysis; Membrane segmentation; Membrane boundary extraction; Image transformation; Circular multiple paths; Closed contours BibRef

Tauber, C., Batatia, H., Ayache, A.,
Quasi-automatic initialization for parametric active contours,
PRL(31), No. 1, 1 January 2010, pp. 83-90.
Elsevier DOI 1001
BibRef
Earlier:
A General Quasi-Automatic Initialization For Snakes: Application to Ultrasound Images,
ICIP05(II: 806-809).
IEEE DOI 0512
Automatic initialization; Segmentation; Active contours; Gradient vector flow BibRef

Jaouen, V., Gonzalez, P., Stute, S., Guilloteau, D., Chalon, S., Buvat, I., Tauber, C.,
Variational Segmentation of Vector-Valued Images With Gradient Vector Flow,
IP(23), No. 11, November 2014, pp. 4773-4785.
IEEE DOI 1410
Force BibRef

Jaouen, V., Gonzalez, P., Guilloteau, D., Buvat, I., Tauber, C.,
4DGVF-based filtering of vector-valued images,
ICIP14(4592-4596)
IEEE DOI 1502
Anisotropic magnetoresistance BibRef

Jaouen, V., Gonzalez, P., Chalon, S., Guilloteau, D., Buvat, I., Tauber, C.,
4DGVF segmentation of vector-valued images,
ICIP14(11-15)
IEEE DOI 1502
Computational modeling BibRef

Liu, H.[Hao], Qian, H.B.[Hong-Bo], Dai, N.[Ning], Zhao, J.N.[Jian-Ning],
Heuristic Initialization for Active Contour Models in CT/MRI Image Processing,
IJIG(15), No. 03, 2015, pp. 1550010.
DOI Link 1506
BibRef

Lee, H.J., Kim, J.U., Lee, S., Kim, H.G., Ro, Y.M.,
Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary,
CVPR20(4816-4825)
IEEE DOI 2008
Image segmentation, Biomedical imaging, Prediction algorithms, Shape, Generators, Training, Knowledge engineering BibRef

Chen, H., Qi, X., Yu, L., Heng, P.A.,
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation,
CVPR16(2487-2496)
IEEE DOI 1612
BibRef