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,
PAMI(10), No. 5, September 1988, pp. 731-737.
IEEE DOI Fit the contour to the data for recognition. BibRef 8809

Yamada, H.[Hiromitsu], Yamamoto, K.[Kazuhiko],
Recognition of echocardiograms by a dynamic programming matching method,
PR(24), No. 2, 1991, pp. 147-155.
WWW Link. 0401
BibRef
Earlier: ICPR88(II: 685-688).
IEEE DOI 8811
BibRef

Daffertshofer, A., Haken, H.,
A New Approach To Recognition Of Deformed Patterns,
PR(27), No. 12, December 1994, pp. 1697-1705.
WWW Link. BibRef 9412

Porrill, J.[John], Ivins, J.P.[Jim P.],
A Semiautomatic Tool for 3-D Medical Image Analysis Using Active Contour Models,
Medical Informatics(19), No. 1, 1994, pp. 81-90. See also Active-Region Models for Segmenting Textures and Colors. BibRef 9400

Drewniok, C.,
Some Concepts for Precise Estimation of Deformations Rigid Areas in Polar Pack Ice Based on Time-Series of ERS-1 SAR Images,
JRS(15), No. 18, December 1994, pp. 3743-3765. BibRef 9412

Pardo, J.M., Cabello, D., Heras, J.,
A Snake for Model Based Segmentation of Biomedical Images,
PRL(18), No. 14, December 1997, pp. 1529-1538. 9806
BibRef

Lefebvre, F., Berger, G., Laugier, P.,
Automatic Detection of the Boundary of the Calcaneus from Ultrasound Parametric Images Using an Active Contour Model: Clinical Assessment,
MedImg(17), No. 1, February 1998, pp. 45-52.
IEEE Top Reference. 9806
BibRef

Amini, A.A., Chen, Y.S., Curwen, R.W., Mani, V., Sun, J.,
Coupled B-Snake Grids and Constrained Thin-Plate Splines for Analysis of 2-D Tissue Deformations from Tagged MRI,
MedImg(17), No. 3, June 1998, pp. 344-356.
IEEE Top Reference. 9809
BibRef

Morris, D.T., Donnison, C.,
Identifying the neuroretinal rim boundary using dynamic contours,
IVC(17), No. 3/4, March 1999, pp. 169-174.
WWW Link. BibRef 9903

Kang, D.J.[Dong Joong],
A fast and stable snake algorithm for medical images,
PRL(20), No. 5, May 1999, pp. 507-512. 9912
BibRef
And: Add A2: Kweon, I.S.[In-So], Erratum: PRL(20), No. 10, October 1999, pp. 1069. 9911
BibRef

Ladret, P.[Patricia], Latombe, B.[Bertrand], Granada, F.[Francesc],
Active Contour Algorithm: An Attractive Tool for Snow Avalanche Analysis,
SP(79), No. 2, December 1999, pp. 197-204. 0002
BibRef

Senasli, M., Garnero, L., Herment, A., Mousseaux, E.,
3D Reconstruction of Vessel Lumen from Very Few Angiograms by Dynamic Contours Using a Stochastic Approach,
GM(62), No. 2, March 2000, pp. 105-127. 0003
BibRef

Likar, B., Pernus, F.,
A hierarchical approach to elastic registration based on mutual information,
IVC(19), No. 1-2, January 2001, pp. 33-44.
WWW Link. 0101
BibRef

Jones, T.D., Plassmann, P.,
An active contour model for measuring the area of leg ulcers,
MedImg(19), No. 12, December 2000, pp. 1202-1210.
IEEE Top Reference. 0110
BibRef

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,
MedImg(16), No. 2, April 1997, pp. 199-209.
IEEE Top Reference. 0205
BibRef

Giraldi, G.A.[Gilson A.], Strauss, E.[Edilberto], Oliveira, A.A.F.[Antonio A.F.],
Dual-T-Snakes model for medical imaging segmentation,
PRL(24), No. 7, April 2003, pp. 993-1003.
Elsevier DOI 0301
BibRef
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
BibRef

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
BibRef

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
BibRef

Hoetzl, E.[Elena], Ring, W.[Wolfgang],
An Active Contour Approach for a Mumford-Shah Model in X-Ray Tomography,
ISVC09(II: 1021-1030).
Springer DOI 0911
BibRef

Keeling, S.L.[Stephen L.],
Generalized Rigid and Generalized Affine Image Registration and Interpolation by Geometric Multigrid,
JMIV(29), No. 2-3, November 2007, pp. 163-183.
Springer DOI 0712
BibRef

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.
WWW Link. 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
BibRef

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
BibRef
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
BibRef

Solem, J.E.[Jan Erik],
Geodesic Curves for Analysis of Continuous Implicit Shapes,
ICPR06(I: 43-46).
IEEE DOI 0609
BibRef
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], Strĺhlén, 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


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

Badoual, A.[Anais], Schmitter, D.[Daniel], Unser, M.[Michael],
Locally refinable parametric snakes,
ICIP15(354-358)
IEEE DOI 1512
active contour BibRef

Schmitter, D.[Daniel], Gaudet-Blavignac, C.[Christophe], Piccini, D.[Davide], Unser, M.[Michael],
New parametric 3D snake for medical segmentation of structures with cylindrical topology,
ICIP15(276-280)
IEEE DOI 1512
3D segmentation; active contours; aorta; medical; spline snakes; splines BibRef

Johnson, B.A.[Bruce A.], Qi, H.R.[Hai-Rong], Isaacs, J.C.[Jason C.],
A Photon-Mapping Informed Chan-Vese Segmentation Algorithm to Enable Multispectral Sensing and Path-Planning in 3D Virtual Environments,
PBVS14(281-286)
IEEE DOI 1409
3D Chan-Vese segmentation; Multi-spectral photon mapping; Path planning BibRef

Zhang, Y.P.[Yun-Ping], Huang, Y.[Yan], Wang, M.Q.[Mei-Qing],
An Improved C-V Model without Reinitialization,
CISP09(1-5).
IEEE DOI 0910
Chan-Vese model. See also Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model, A. BibRef

Wang, Z.Y.[Zu-Ying], Mandal, M.K.[Mrinal K.], Koles, Z.[Zoltan],
Multiscale Boundary Identification for Medical Images,
PReMI07(177-185).
Springer DOI 0712
BibRef

Hara, K.[Kenji], Kurazume, R.[Ryo], Inoue, K.[Kohei], Urahama, K.[Kiichi],
Segmentation of Images on Polar Coordinate Meshes,
ICIP07(II: 245-248).
IEEE DOI 0709
See also Active contours without edges. Apply to topography and remote sensing. BibRef

Van Raad, V.,
Active contour models: A multiscale implementation for anatomical feature delineation in cervical images,
ICIP04(I: 557-560).
IEEE DOI 0505
BibRef

Caro, A., Alonso, T., Rodríguez, P.G., Durán, M.L., Ávila, M.M.,
Testing Geodesic Active Contours,
IbPRIA07(II: 64-71).
Springer DOI 0706
BibRef

Caro, A., Rodríguez, P.G., Durán, M.L., Ávila, J.A., Antequera, T., Palacios, R.,
Evolutionary Active Contours for Muscle Recognition,
ICIAR04(II: 150-157).
WWW Link. 0409
BibRef

Caro, A.[Andres], Rodriguez, P.G.[Pablo G.], Cernadas, E.[Eva], Duran, M.L., Antequera, T.[Teresa],
Potential Fields as an External Force and Algorithmic Improvements in Deformable Models,
ELCVIA(2), No. 1, September 2003, pp. xx.
WWW Link. BibRef 0309

Caro, A., Rodríguez, P.G., Durán, M.L., Ávila, M.M., Antequera, T., Gallardo, R.,
A Comparison of Algorithm Design Paradigms in Active Contours for Muscle Recognition,
AMDO04(249-258).
Springer DOI 0505
BibRef

Verdu-Monedero, R.[Rafael], Berenguer, R., Morales, J., Vazquez, G., Otero, T.F., Weruaga, L.,
Mechanical Characterization of the Life Cycle of Artificial Muscles Through Stereoscopic Computer Vision and Active Contours,
ICIP05(III: 401-404).
IEEE DOI 0512
BibRef
Earlier:
3D mechanical characterization of artificial muscles with stereoscopic computer vision and active contours,
ICIP03(I: 397-400).
IEEE DOI 0312
BibRef

Zhang, Y.[Yong], Goldgof, D.B., Sarkar, S., Shin, M.C.,
Recovering elastic property of soft tissues using 2d image sequences with limited range data,
ICPR02(I: 755-758).
IEEE DOI 0211
BibRef

Kondo, K., Ogawa, K., Sakurai, K.,
Extraction of the vertebral foramen of the third lumbar vertebra with snakes,
ICIP02(II: 69-72).
IEEE DOI 0210
BibRef

Engel, K.[Karin], Toennies, K.D.[Klaus D.],
Stable Structural Deformations,
CVS09(114-123).
Springer DOI 0910
BibRef

Pohle, R.[Regina], Toennies, K.D.[Klaus D.],
A New Approach for Model-Based Adaptive Region Growing in Medical Image Analysis,
CAIP01(238 ff.).
Springer DOI 0210
BibRef

Hicks, Y.A., Marshall, A.D., Martin, R.R., Rosin, P.L., Bayer, M.M., Mann, D.G.,
Modelling life cycle related and individual shape variation in biological specimens,
BMVC02(323-332).
PDF File. 0208
BibRef

Stegmann, M.B., Fisker, R., Ersbřll, B.K.,
Extending and Applying Active Appearance Models for Automated, High Precision Segmentation in Different Image Modalities,
SCIA01(P-W3A). 0206
BibRef

Yezzi, Jr., A.J.[Anthony J.], and Prince, J.L.[Jerry L.],
An Eulerian PDE Approach for Computing Tissue Thickness,
MedImg(22), No. 10, October 2003, pp. 1332-1339.
IEEE Abstract. 0310
BibRef
Earlier:
A PDE Approach for Thickness, Correspondence, and Gridding of Annular Tissues,
ECCV02(IV: 575 ff.).
Springer DOI 0205
BibRef
Earlier:
A PDE Approach for Measuring Tissue Thickness,
CVPR01(I:87-92).
IEEE DOI 0110
Thickness between two boundaries. BibRef

Rocha, K.R.[Kelvin R.], Yezzi, Jr., A.J.[Anthony J.], Prince, J.L.[Jerry L.],
A Hybrid Eulerian-Lagrangian Approach for Thickness, Correspondence, and Gridding of Annular Tissues,
IP(16), No. 3, March 2007, pp. 636-648.
IEEE DOI 0703
BibRef
Earlier: CVBIA05(72-81).
Springer DOI 0601
BibRef

Valverde, F., Guil, N., Muńoz, J., Li, Q., Aoyama, M., Doi, K.,
A Deformable Model for Image Segmentation in Noisy Medical Images,
ICIP01(III: 82-85).
IEEE DOI 0108
BibRef

Liu, L., Sclaroff, S.,
Medical Image Segmentation and Retrieval Via Deformable Models,
ICIP01(III: 1071-1074).
IEEE DOI 0108
BibRef

Wang, S.[Song], Zhu, W.Y.[Wei-Yu], Liang, Z.P.[Zhi-Pei],
Shape Deformation: SVM Regression and Application to Medical Image Segmentation,
ICCV01(II: 209-216).
IEEE DOI 0106
BibRef

Li, H.[Hua], Efinoataz, A., Fadili, J., Ruan, S.[Su], Roinaniu, B.,
3d medical image segmentation approach based on multi-label front propagation,
ICIP04(V: 2925-2928).
IEEE DOI 0505
BibRef

Li, H.[Hua], El Moataz, A., Fadili, J., Ruan, S.[Su],
A multi-label front propagation approach for object segmentation,
ICPR04(I: 600-603).
IEEE DOI 0409
BibRef

Schüpp, S., El Moataz, A., Fadili, J., Herlin, P., Bloyet, D.,
Image Segmentation Via Multiple Active Contour Models and Fuzzy Clustering with Biomedical Applications,
ICPR00(Vol I: 622-625).
IEEE DOI 0009
BibRef

Fenster, S.D.[Samuel D.], Kender, J.R.[John R.],
A Comparative Technique and Performance Results on Novel Learned Snakes in Two Dissimilar Medical Domains,
CVPR00(II: 706-713).
IEEE DOI 0005
Evaluation BibRef

Hassouna, M.S.[M. Sabry], Farag, A.A.[Aly A.],
Accurate Tracking of Monotonically Advancing Fronts,
CVPR06(I: 355-362).
IEEE DOI 0606
BibRef

Guidry, D.L.[Diana L.], Farag, A.A.[Aly A.],
Using Active Contours and Fourier Descriptors for Motion Tracking with Applications in MRI,
ICIP99(II:177-181).
IEEE DOI BibRef 9900

Gerard, O., Makram-Ebeid, S.,
Automatic Contour Detection by Encoding Knowledge into Active Contour Models,
WACV98(115-120).
WWW Link. 9809
BibRef

Chaudhuri, B., Adiga, P.U.[P. Umesh],
Segmentation of Volumetric Histo-Pathological Images by Surface Following Using Constrained Snakes,
ICPR98(Vol II: 1674-1676).
IEEE DOI 9808
BibRef

Wirth, M.A.[Michael A.], Choi, C.[Christopher], and Jennings, A.[Andrew],
Registration Of Non-Rigid Medical Images Using an Elastic Spatial Transformation,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Lakshmanan, V., Witt, A.,
Detection of Bounded Weak Echo Regions in Meteorological Radar Images,
ICPR96(III: 895-899).
IEEE DOI 9608
(National Severe Storms Lab., USA) BibRef

Klemencic, A.[Ales], Pernus, F.[Franjo], Kovacic, S.[Stanislav],
Modeling Morphological Changes during Contraction of Muscle Fibres by Active Contours,
CAIP99(134-141).
Springer DOI 9909
BibRef
Earlier:
Segmentation of Muscle Fibre Images Using Voronoi Diagrams and Active Contour Models,
ICPR96(III: 538-542).
IEEE DOI 9608
(Univ. of Ljubljana, SLO) BibRef

Shackleton, M.A., and Welsh, W.J.,
Classification of Facial Features for Recognition,
CVPR91(573-579).
IEEE DOI Recognize Faces. BibRef 9100

Waite, J.B., Welsh, W.J.,
An application of active contour models to head boundary location,
BMVC90(xx-yy).
PDF File. 9009
BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Snakes, Algorithms for Computation .


Last update:Apr 26, 2017 at 10:20:07