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 Abstract.
IEEE DOI Link 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 Version.
0401
BibRef
Earlier:
ICPR88(II: 685-688).
IEEE DOI Link
8811
BibRef
Daffertshofer, A.,
Haken, H.,
A New Approach To Recognition Of Deformed Patterns,
PR(27), No. 12, December 1994, pp. 1697-1705.
WWW Version.
BibRef
9412
Porrill, J., and
Ivins, J.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 Version.
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.,
Pernu, F.,
A hierarchical approach to elastic registration based on mutual
information,
IVC(19), No. 1-2, January 2001, pp. 33-44.
WWW Version.
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 Link
IEEE DOI Link 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 Link
0301
BibRef
Earlier:
A Boundary Extraction Method based on Dual-T-Snakes and
Dynamic Programming,
CVPR00(I: 44-49).
IEEE Abstract.
IEEE DOI Link
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 Link
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 Link
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 Link
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 Link
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 Version.
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 Link
0810
BibRef
Earlier:
Deformable Shape Priors in Chan-Vese Segmentation of Image Sequences,
ICIP07(I: 285-288).
IEEE DOI Link
0709
BibRef
And:
Variational Segmentation of Image Sequences Using Deformable Shape
Priors,
SCIA07(31-40).
Springer DOI Link
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 Link
0906
BibRef
Solem, J.E.[Jan Erik],
Geodesic Curves for Analysis of Continuous Implicit Shapes,
ICPR06(I: 43-46).
IEEE DOI Link
0609
BibRef
And:
ICPR06(I: 852-855).
IEEE DOI Link
0609
BibRef
Solem, J.E.[Jan Erik],
Heyden, A.[Anders],
Variational Segmentation Using Dynamical Models for Rigid Motion,
SCIA07(213-222).
Springer DOI Link
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 Link
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 Link
0705
BibRef
Earlier:
An Analysis of Variational Alignment of Curves in Images,
ScaleSpace05(480-491).
WWW Version.
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 Link
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 Link
0507
BibRef
Karlsson, A.[Adam],
Strĺhlén, K.[Kent],
Heyden, A.[Anders],
Segmentation of Histopathological Sections Using Snakes,
SCIA03(595-602).
WWW Version.
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 Link
WWW Version.
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 Link
WWW Version.
1001
BibRef
Earlier:
A General Quasi-Automatic Initialization For Snakes:
Application to Ultrasound Images,
ICIP05(II: 806-809).
IEEE DOI Link
0512
Automatic initialization; Segmentation; Active contours; Gradient vector flow
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 Link
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 Link
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 Link
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 Link
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 Version.
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 Version.
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).
WWW Version.
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 Link
0512
BibRef
Earlier:
3D mechanical characterization of artificial muscles with stereoscopic
computer vision and active contours,
ICIP03(I: 397-400).
IEEE Abstract.
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 Link
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 Abstract.
0210
BibRef
Engel, K.[Karin],
Toennies, K.D.[Klaus D.],
Stable Structural Deformations,
CVS09(114-123).
Springer DOI Link
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.).
HTML Version.
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 Version.
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.).
HTML Version.
0205
BibRef
Earlier:
A PDE Approach for Measuring Tissue Thickness,
CVPR01(I:87-92).
IEEE Abstract.
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 Link
0703
BibRef
Earlier:
CVBIA05(72-81).
Springer DOI Link
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 Abstract.
0108
BibRef
Liu, L.,
Sclaroff, S.,
Medical Image Segmentation and Retrieval Via Deformable Models,
ICIP01(III: 1071-1074).
IEEE Abstract.
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 Link
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 Link
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 Link
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 Link
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 Abstract.
IEEE DOI Link
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 Link
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 Abstract.
BibRef
9900
Gerard, O.,
Makram-Ebeid, S.,
Automatic Contour Detection by Encoding Knowledge into
Active Contour Models,
WACV98(115-120).
IEEE Abstract.
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 Link
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 Link
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).
WWW Version.
9909
BibRef
Earlier:
Segmentation of Muscle Fibre Images Using Voronoi Diagrams and
Active Contour Models,
ICPR96(III: 538-542).
IEEE DOI Link
9608
(Univ. of Ljubljana, SLO)
BibRef
Shackleton, M.A., and
Welsh, W.J.,
Classification of Facial Features for Recognition,
CVPR91(573-579).
IEEE Abstract.
Recognize Faces.
BibRef
9100
Waite, J.B.,
Welsh, W.J.,
An application of active contour models to head boundary location,
BMVC90(xx-yy).
PDF Version.
9009
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Snakes, Algorithms for Computation .