8.7.1.2 Snakes, Region Segmentation Issues

Guichard, F.[Frederic], and Dal Maso, G., Morel, J.M.[Jean-Michel], and Solimini, S.,
A variational method in image segmentation: Existence and approximation results,
ActaMat(168), 1992, pp. 89-151. BibRef 9200

Sinclair, D.A., Blake, A., Smith, S., and Rothwell, C.A.,
Planar Region Detection and Motion Recovery,
IVC(11), No. 4, May 1993, pp. 229-234.
WWW Version. BibRef 9305

Sinclair, D., Blake, A.,
Quantitative Planar Region Detection,
IJCV(18), No. 1, April 1996, pp. 77-91. 9605 BibRef

Ronfard, R.,
Region-Based Strategies for Active Contour Models,
IJCV(13), No. 2, October 1994, pp. 229-251. Introduces heuristic rules to derive equations for a snake, using local statistics of the regions around the contour. BibRef 9410

Ivins, J.P., Porrill, J.,
Active-Region Models for Segmenting Textures and Colors,
IVC(13), No. 5, June 1995, pp. 431-438.
WWW Version. BibRef 9506
And:
Active-Region Models for Segmenting Medical Images,
ICIP94(II: 227-231).
WWW Version. 9411 BibRef

Ivins, J.P.[Jim P.], Porrill, J.[John],
Constrained Active Region Models for Fast Tracking in Color Image Sequences,
CVIU(72), No. 1, October 1998, pp. 54-71.
WWW Version. BibRef 9810

Ivins, J.P.,
Statistical Snakes: Active Region Models,
Ph.D.Thesis, Univ. of Sheffield, 1996. BibRef 9600

Zhu, S.C., Yuille, A.,
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation,
PAMI(18), No. 9, September 1996, pp. 884-900.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9609
Earlier: Add A2: Lee, T.S., ICCV95(416-423).
WWW Version.
WWW Version. BibRef
And:
Region Competition and its Analysis: A Unified Theory for Image Segmentation,
HarvardTR-95-07, 1995. Bayes Nets. Region Growing. Minimum Description Length. Color Models. These are the same if viewed in the right way. Problems with different size regions. BibRef

Tu, Z.W.[Zhuo-Wen], Chen, X.R.[Xiang-Rong], Yuille, A.L.[Alan L.], Zhu, S.C.[Song-Chun],
Image Parsing: Unifying Segmentation, Detection, and Recognition,
IJCV(63), No. 2, July 2005, pp. 113-140.
WWW Version. 0501 BibRef
And: CLOR06(545-576).
WWW Version. 0711 BibRef
Earlier: ICCV03(18-25).
WWW Version. 0311 Award, Marr Prize. BibRef

Dubinskiy, A., Zhu, S.C.[Song Chun],
A multi-scale generative model for animate shapes and parts,
ICCV03(249-256).
WWW Version. 0311Model shapes and parts. BibRef

Chan, F.H.Y., Lam, F.K., Poon, P.W.F., Zhu, H., Chan, K.H.,
Object Boundary Location by Region and Contour Deformation,
VISP(143), No. 6, December 1996, pp. 353-360. 9702 BibRef

Milroy, M.J., Bradley, C., Vickers, G.W.,
Segmentation of a Wrap-Around Model Using an Active Contour,
CAD(29), No. 4, April 1997, pp. 299-320. 9703 BibRef

Grzeszczuk, R.P.[Robert P.], Levin, D.N.[David N.],
Brownian Strings: Segmenting Images with Stochastically Deformable Contours,
PAMI(19), No. 10, October 1997, pp. 1100-1114.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9710Use simulated annealing so less dependant on initial contour. BibRef

Ip, H.H.S., Shen, D.G.,
An Affine-Invariant Active Contour Model (AI-Snake) for Model-Based Segmentation,
IVC(16), No. 2, February 20 1998, pp. 135-146.
WWW Version. 9803 BibRef

Hewer, G.A., Kenney, C., Manjunath, B.S.,
Variational Image Segmentation Using Boundary Functions,
IP(7), No. 9, September 1998, pp. 1269-1282.
WWW Version. 9809
PDF Version. BibRef
Earlier:
Image Segmentation via Functionals Based on Boundary Functions,
ICIP96(I: 813-816).
WWW Version.
PDF Version. BibRef

Vilarino, D.L., Brea, V.M., Cabello, D., Pardo, J.M.,
Discrete-Time CNN for Image Segmentation by Active Contours,
PRL(19), No. 8, June 1998, pp. 721-734. 9808 BibRef

Pardo, X.M., Cabello, D.,
Biomedical active segmentation guided by edge saliency,
PRL(21), No. 6-7, June 2000, pp. 559-572. 0006 BibRef

Vilarińo, D.L.[David L.], Cabello, D.[Diego], Pardo, X.M.[Xose M.], Brea, V.M.[Victof M.],
Cellular neural networks and active contours: A tool for image segmentation,
IVC(21), No. 2, February 2003, pp. 189-204.
WWW Version. 0301 BibRef
Earlier:
Pixel-level Snakes,
ICPR00(Vol I: 640-643).
WWW Version.
HTML Version. 0009 BibRef

Ngoi, K.P., Jia, J.C.,
An active contour model for colour region extraction in natural scenes,
IVC(17), No. 13, 1 November 1999, pp. 955-966.
WWW Version. 9911 BibRef
Earlier:
A Robust Active Contour Model for Natural Scene Contour Extraction with Automatic Thresholding,
ECCV96(II:335-346).
WWW Version. Extract various objects from images. BibRef

Chesnaud, C.[Christophe], Réfrégier, P.[Philippe], Boulet, V.[Vlady],
Statistical Region Snake-Based Segmentation Adapted to Different Physical Noise Models,
PAMI(21), No. 11, November 1999, pp. 1145-1157.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9912Region snakes, not edge snakes, base on statistics of the region inside and outside the snake. The examples seem to show extraction with very low contrasts. BibRef

Yuille, A.L., Coughlan, J.M.[James M.],
An A* perspective on deterministic optimization for deformable templates,
PR(33), No. 4, April 2000, pp. 603-616.
WWW Version. 0002 BibRef

Sclaroff, S.[Stan], Liu, L.F.[Li-Feng],
Deformable Shape Detection and Description via Model-Based Region Grouping,
PAMI(23), No. 5, May 2001, pp. 475-489.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0105 BibRef
And: Corrections: PAMI(23), No. 6, June 2001, pp. 686.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0106 BibRef
Earlier: A2, A1: CVPR99(II: 21-27).
IEEE Abstract. IEEE Top Reference.
WWW Version. Partition the image using deformable shape templates. By using learned templates, shapes are segmented from background. BibRef

Liu, L.F.[Li-Feng], Sclaroff, S.[Stan],
Deformable model-guided region split and merge of image regions,
IVC(22), No. 4, 1 April 2004, pp. 343-354.
WWW Version. 0402 BibRef
Earlier:
Region Segmentation via Deformable Model-Guided Split and Merge,
ICCV01(I: 98-104).
WWW Version. 0106 BibRef
And:
Shape-Guided Split and Merge of Image Regions,
VF01(367 ff.).
HTML Version. 0209 BibRef

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.
WWW Version. 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 Abstract. IEEE Top Reference.
WWW Version. 0005 See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems. BibRef

Yezzi, Jr., A.J.[Anthony J.], Tsai, A.[Andy], Willsky, A.S.[Alan S.],
Binary and ternary flows for image segmentation,
ICIP99(II:1-5).
IEEE Abstract. IEEE Top Reference. BibRef 9900
And:
A Statistical Approach to Snakes for Bimodal and Trimodal Imagery,
ICCV99(898-903).
WWW Version. 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. IEEE Top Reference. 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. IEEE Top Reference. 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. IEEE Top Reference. 0008 See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems. BibRef

Unal, G., Krim, H., Yezzi, A.J.,
Stochastic differential equations and geometric flows,
IP(11), No. 12, December 2002, pp. 1405-1416.
WWW Version. 0301Local 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.
WWW Version. 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.
WWW Version. 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. IEEE Top Reference. 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. IEEE Top Reference. 0312 BibRef

Germain, O.[Olivier], Réfrégier, P.[Philippe],
Statistical active grid for segmentation refinement,
PRL(22), No. 10, August 2001, pp. 1125-1132.
HTML Version. 0108 BibRef

Falcao, A.X.[Alexandre X.], Udupa, J.K.[Jayaram K.], Miyazawa, F.K.,
An ultra-fast user-steered image segmentation paradigm: Live wire on the fly,
MedImg(19), No. 1, January 2000, pp. 55-62.
IEEE Top Reference. 0110 BibRef

Falcao, A.X.[Alexandre X.], Udupa, J.K.[Jayaram K.], Samarasekera, S.[Supun], Sharma, S.[Shoba], Hirsch, B.E.[Bruce Elliot], de Alencar Lotufo, R.[Roberto],
User-Steered Image Segmentation Paradigms: Live Wire and Live Lane,
GMIP(60), No. 4, July 1998, pp. 233-260. BibRef 9807

Tang, M.[Ming], Ma, S.D.[Song-De],
General Scheme of Region Competition Based on Scale Space,
PAMI(23), No. 12, December 2001, pp. 1366-1378.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0112 BibRef
And: Corrections: PAMI(24), No. 7, July 2002, pp. 1007.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0207 BibRef
Earlier:
A Fast Algorithm of Multiresolution Elastic Matching,
SCIA97(xx-yy) 9705
HTML Version. Region segmentation. Cluster then group clusters. See also Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation. BibRef

Tang, M.[Ming], Xiao, J.[Jing], Ma, S.D.[Song-De],
Semantically Homogeneous Segmentation with Nonparametric Region Competition,
ICPR00(Vol I: 648-651).
WWW Version.
HTML Version. 0009 BibRef

Jang, J.H.[Jeong-Hun], Hong, K.S.[Ki-Sang],
Detection of curvilinear structures and reconstruction of their regions in gray-scale images,
PR(35), No. 4, April 2002, pp. 807-824.
WWW Version. 0201 See also Linear band detection based on the Euclidean distance transform and a new line segment extraction method. BibRef

Jeon, B.K.[Byoung-Ki], Jung, Y.B.[Yun-Beom], Hong, K.S.[Ki-Sang],
Image Segmentation by Unsupervised Sparse Clustering,
PRL(27), No. 14, 15 October 2006, pp. 1650-1664.
WWW Version. 0609 BibRef
Earlier: WACV05(I: 2-7).
WWW Version. 0502Positiveness; Sparse clustering; Binary tree; Model selection; Intra- and inter-cluster measures Cluster into regions based on positiveness. BibRef

Kim, J.S.[Jong-Sung], Hong, K.S.[Ki-Sang],
A new graph cut-based multiple active contour algorithm without initial contours and seed points,
MVA(19), No. 3, May 2008, pp. 181-193.
WWW Version. 0803 BibRef

Ji, L.[Lilian], Yan, H.[Hong],
Robust Topology-adaptive Snakes for Image Segmentation,
IVC(20), No. 2, February 2002, pp. 147-164.
WWW Version. 0202 BibRef
Earlier: ICIP01(II: 797-800).
IEEE Abstract. IEEE Top Reference. 0108 BibRef

Ji, L.[Lilian], Yan, H.[Hong],
Attractable snakes based on the greedy algorithm for contour extraction,
PR(35), No. 4, April 2002, pp. 791-806.
WWW Version. 0201 BibRef

Ji, L.[Lilian], Yan, H.[Hong],
Loop-free snakes for highly irregular object shapes,
PRL(23), No. 5, March 2002, pp. 579-591.
HTML Version. 0202 BibRef
Earlier:
Loop-Free Snakes for Image Segmentation,
ICIP99(III:193-197).
IEEE Abstract. IEEE Top Reference. BibRef

Jehan-Besson, S.[Stéphanie], Barlaud, M.[Michel], Aubert, G.[Gilles],
A 3-Step Algorithm Using Region-Based Active Contours for Video Objects Detection,
JASP(2002), No. 6, June 2002, pp. 572-581. 0208 BibRef
Earlier:
Video Objects Segmentation Using Eulerian Region-Based Active Contours,
ICCV01(I: 353-360).
WWW Version. 0106 BibRef
And:
Region-based Active Contours for Video Object Segmentation with Camera Compensation,
ICIP01(II: 61-64).
IEEE Abstract. IEEE Top Reference. 0108 BibRef

Herbulot, A.[Ariane], Jehan-Besson, S.[Stéphanie], Duffner, S.[Stefan], Barlaud, M.[Michel], Aubert, G.[Gilles],
Segmentation of Vectorial Image Features Using Shape Gradients and Information Measures,
JMIV(25), No. 3, October 2006, pp. 365-386.
WWW Version. 0611 BibRef
Earlier: A1, A2, A4, A5, Only:
Shape gradient for multi-modal image segmentation using mutual information,
ICIP04(IV: 2729-2732).
WWW Version. 0505 BibRef

Jehan-Besson, S.[Stephanie], Barlaud, M.[Michel], Aubert, G.[Gilles], Faugeras, O.D.,
Shape gradients for histogram segmentation using active contours,
ICCV03(408-415).
WWW Version. 0311 BibRef

Castaud, M., Barlaud, M.,
Video segmentation using active contours on a group of pictures,
ICIP02(II: 81-84).
IEEE Abstract. IEEE Top Reference. 0210 BibRef

Lecellier, F., Jehan-Besson, S., Fadili, J., Aubert, G., Revenu, M., Saloux, E.,
Region-Based Active Contour with Noise and Shape Priors,
ICIP06(1649-1652). 0610
WWW Version. BibRef

Gastaud, M., Barlaud, M., Aubert, G.,
Combining shape prior and statistical features for active contour segmentation,
CirSysVideo(14), No. 5, May 2004, pp. 726-734.
IEEE Abstract. IEEE Top Reference. 0407 BibRef
Earlier:
Tracking video objects using active contours,
Motion02(90-95).
IEEE Abstract. IEEE Top Reference. 0303 BibRef

Debreuve, É., Gastaud, M., Barlaud, M., Aubert, G.,
Using the Shape Gradient for Active Contour Segmentation: from the Continuous to the Discrete Formulation,
JMIV(28), No. 1, May 2007, pp. 47-66.
WWW Version. 0710 See also Outer-Layer Based Tracking using Entropy as a Similarity Measure. See also DREAM 2 S: Deformable Regions Driven by an Eulerian Accurate Minimization Method for Image and Video Segmentation. BibRef

Boltz, S.[Sylvain], Debreuve, É.[Éric], Barlaud, M.[Michel],
Joint Appearance and Deformable Shape for Nonparametric Segmentation,
HUMO07(180-195).
WWW Version. 0710 BibRef
And:
A High Dimensional Framework for Joint Color-Spatial Segmentation,
ICIP07(VI: 313-316).
WWW Version. 0709 BibRef

Debreuve, E., Barlaud, M., Marmorat, J.P., Aubert, G.,
Active Contour Segmentation with a Parametric Shape Prior: Link with the Shape Gradient,
ICIP06(1653-1656). 0610
WWW Version. BibRef

Jehan-Besson, S., Gastaud, M., Barlaud, M., Aubert, G.,
Region-based active contours using geometrical and statistical features for image segmentation,
ICIP03(II: 643-646).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Kervrann, C.[Charles], Hoebeke, M.[Mark], Trubuil, A.[Alain],
Isophotes Selection and Reaction-Diffusion Model for Object Boundaries Estimation,
IJCV(50), No. 1, October 2002, pp. 63-94.
WWW Version. 0210 BibRef
Earlier:
A Level Line Selection Approach for Object Boundary Estimation,
ICCV99(963-968).
WWW Version. BibRef

Mahamud, S.[Shyjan], Williams, L.R.[Lance R.], Thornber, K.K.[Karvel K.], Xu, K.[Kanglin],
Segmentation of multiple salient closed contours from real images,
PAMI(25), No. 4, April 2003, pp. 433-444.
IEEE Abstract. IEEE Top Reference. 0304Based on a global property, identify smooth closed contours. BibRef

Mahamud, S., Thornber, K.K., Williams, L.R.,
Segmentation of Salient Closed Contours from Real Images,
ICCV99(891-897).
WWW Version. BibRef 9900

Cremers, D.[Daniel], Tischhäuser, F.[Florian], Weickert, J.[Joachim], Schnörr, C.[Christoph],
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional,
IJCV(50), No. 3, December 2002, pp. 295-313.
WWW Version.
PDF Version. 0211 BibRef

Cremers, D.[Daniel], Kohlberger, T.[Timo], Schnörr, C.[Christoph],
Shape statistics in kernel space for variational image segmentation,
PR(36), No. 9, September 2003, pp. 1929-1943.
WWW Version. 0307 BibRef
Earlier:
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation,
ECCV02(II: 93 ff.).
HTML Version. 0205
Postscript Version. BibRef
And:
Nonlinear Shape Statistics via Kernel Spaces,
DAGM01(269-276). BibRef
And:
Diffusion-Snakes: Combining Statistical Shape Knowledge and Image Information in a Variational Framework,
LevelSet01(137-144).
Postscript Version. 0106 See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems. BibRef

Cremers, D.[Daniel],
Statistical Shape Knowledge in Variational Image Segmentation,
Ph.D.Thesis, Department of Mathematics and Computer Science, University of Mannheim, Germany, July 2002.
PDF Version. BibRef 0207

Schoenemann, T.[Thomas], Cremers, D.[Daniel],
Globally Optimal Image Segmentation with an Elastic Shape Prior,
ICCV07(1-6).
WWW Version. 0710 BibRef

Schoenemann, T.[Thomas], Cremers, D.[Daniel],
Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs,
ICCV07(1-6).
WWW Version. 0710 BibRef

Heiler, M.[Matthias], Schnörr, C.[Christoph],
Natural Image Statistics for Natural Image Segmentation,
IJCV(63), No. 1, June 2005, pp. 5-19.
WWW Version. 0501 BibRef
Earlier: ICCV03(1259-1266).
WWW Version. 0311 Award, Marr Prize. BibRef

Keuchel, J.[Jens], Schnorr, C.[Chrostoph], Schellewald, C.[Christian], Cremers, D.[Daniel],
Binary partitioning, perceptual grouping, and restoration with semidefinite programming,
PAMI(25), No. 11, November 2003, pp. 1364-1379.
IEEE Abstract. IEEE Top Reference. 0311 BibRef
Earlier:
Unsupervised Image Partitioning with Semidefinite Programming,
DAGM02(141 ff.).
HTML Version. 0303Figure-ground. Segment into coherent parts. BibRef

Heiler, M.[Matthias], Keuchel, J.[Jens], Schnörr, C.[Christoph],
Semidefinite Clustering for Image Segmentation with A-priori Knowledge,
DAGM05(309).
WWW Version. 0509 BibRef
Earlier: A2, A1, A3:
Hierarchical Image Segmentation Based on Semidefinite Programming,
DAGM04(120-128).
WWW Version. 0505 BibRef

Keuchel, J.[Jens], Küttel, D.[Daniel],
Efficient Combination of Probabilistic Sampling Approximations for Robust Image Segmentation,
DAGM06(41-50).
WWW Version. 0610 BibRef

Keuchel, J.[Jens],
Multiclass Image Labeling with Semidefinite Programming,
ECCV06(II: 454-467).
WWW Version. 0608 BibRef

Bergtholdt, M.[Martin], Kappes, J.H.[Jörg H.], Schnörr, C.[Christoph],
Learning of Graphical Models and Efficient Inference for Object Class Recognition,
DAGM06(273-283).
WWW Version. 0610 BibRef

Bergtholdt, M.[Martin], Schnörr, C.[Christoph],
Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes,
DAGM05(342).
WWW Version. 0509 BibRef

Cremers, D.[Daniel], Schnörr, C.[Christoph],
Statistical shape knowledge in variational motion segmentation,
IVC(21), No. 1, January 2003, pp. 77-86.
WWW Version.
PDF Version. 0301 BibRef

Cremers, D.[Daniel], Sochen, N.A.[Nir A.], Schnörr, C.[Christoph],
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation,
IJCV(66), No. 1, January 2006, pp. 67-81.
WWW Version. 0601 BibRef
Earlier:
Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling,
ScaleSpace03(388-400).
HTML Version. 0310 BibRef

Cremers, D.,
A variational framework for image segmentation combining motion estimation and shape regularization,
CVPR03(I: 53-58).
IEEE Abstract. IEEE Top Reference. 0307 BibRef

Manay, S.[Siddharth], Cremers, D.[Daniel], Hong, B.W.[Byung-Woo], Yezzi, A.J.[Anthony J.], Soatto, S.[Stefano],
Integral Invariants for Shape Matching,
PAMI(28), No. 10, October 2006, pp. 1602-1618.
WWW Version. 0609Integral invariants as opposed to differential invariants. BibRef

Manay, S.[Siddharth], Cremers, D.[Daniel], Yezzi, A.J.[Anthony J.], Soatto, S.[Stefano],
One-Shot Integral Invariant Shape Priors for Variational Segmentation,
EMMCVPR05(414-426).
WWW Version. 0601 BibRef

Jackson, J.D.[Jeremy D.], Yezzi, A.J.[Anthony J.], Soatto, S.[Stefano],
Dynamic Shape and Appearance Modeling via Moving and Deforming Layers,
IJCV(79), No. 1, August 2008, pp. xx-yy.
WWW Version. 0804 BibRef
Earlier: EMMCVPR05(427-438).
WWW Version. 0601 BibRef
And:
Joint Priors for Variational Shape and Appearance Modeling,
MultiView07(1-7).
WWW Version. 0706 BibRef

Cremers, D., Soatto, S.,
Variational space-time motion segmentation,
ICCV03(886-893).
WWW Version. 0311 BibRef

Hintermüller, M.[Michael], Ring, W.[Wolfgang],
An Inexact Newton-CG-Type Active Contour Approach for the Minimization of the Mumford-Shah Functional,
JMIV(20), No. 1-2, January-March 2004, pp. 19-42.
WWW Version. 0403 BibRef

Xie, X.H.[Xiang-Hua], Mirmehdi, M.[Majid],
RAGS: Region-Aided Geometric Snake,
IP(13), No. 5, May 2004, pp. 640-652.
WWW Version. 0404 BibRef
Earlier:
Geodesic Colour Active Contour Resistent to Weak Edges and Noise,
BMVC03(xx-yy).
HTML Version. 0409 BibRef

Xie, X.H.[Xiang-Hua], Mirmehdi, M.[Majid],
Implicit Active Model using Radial Basis Function Interpolated Level Sets,
BMVC07(xx-yy).
PDF Version. 0709 BibRef

Xie, X.H.[Xiang-Hua], Mirmehdi, M.[Majid],
MAC: Magnetostatic Active Contour Model,
PAMI(30), No. 4, April 2008, pp. 632-646.
WWW Version. 0803 BibRef
And: PAMI(30), No. 5, May 2008, pp. xx.
WWW Version. 0803 BibRef
Earlier:
Magnetostatic Field for the Active Contour Model: A Study in Convergence,
BMVC06(I:127).
PDF Version. 0609 BibRef

Yang, R.H.[Rong-Hua], Mirmehdi, M.[Majid], Xie, X.H.[Xiang-Hua],
A Charged Active Contour Based on Electrostatics,
ACIVS06(173-184).
WWW Version. 0609 BibRef

Yang, R.H.[Rong-Hua], Mirmehdi, M.[Majid],
A Charged Geometric Model for Active Contours,
ICPR06(II: 183-186).
WWW Version. 0609 BibRef

Hanek, R.[Robert], Beetz, M.[Michael],
The Contracting Curve Density Algorithm: Fitting Parametric Curve Models to Images Using Local Self-Adapting Separation Criteria,
IJCV(59), No. 3, September-October 2004, pp. 233-258.
WWW Version. 0405Locally adaptive criteria in fitting. BibRef

Hanek, R.[Robert],
The Contracting Curve Density Algorithm and its Application to Model-based Image Segmentation,
CVPR01(I:797-804).
IEEE Abstract. IEEE Top Reference. 0110 BibRef

Ronse, C.[Christian], Agnus, V.[Vincent],
Morphology on Label Images: Flat-Type Operators and Connections,
JMIV(22), No. 2-3, May 2005, pp. 283-307.
WWW Version. 0505 BibRef

Ronse, C.[Christian],
Flat Morphology on Power Lattices,
JMIV(26), No. 1-2, November 2006, pp. 185-216.
WWW Version. 0701 BibRef

Agnus, V.[Vincent],
Segmentation d'images par cooperation contours-regions,
M.S.Thesis, 1997, Strasbourg, France. Study an approach based on combining edge and regions techniques.
Postscript Version. BibRef 9700

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).
WWW Version. 0507 See also Level Set Evolution without Re-Initialization: A New Variational Formulation. BibRef

Kim, J.[Junmo], Fisher, III, J.W., Yezzi, A.J., Cetin, M., Willsky, A.S.,
A nonparametric statistical method for image segmentation using information theory and curve evolution,
IP(14), No. 10, October 2005, pp. 1486-1502.
WWW Version. 0510 BibRef
Earlier:
Nonparametric methods for image segmentation using information theory and curve evolution,
ICIP02(III: 797-800).
IEEE Abstract. IEEE Top Reference. 0210 BibRef
And:
Incorporating complex statistical information in active contour-based image segmentation,
ICIP03(II: 655-658).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Vanzella, W., Torre, V.,
A Versatile Segmentation Procedure,
SMC-B(36), No. 2, April 2006, pp. 366-378.
WWW Version. 0604Regularize with Mumford-Shah ( See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems. ) BibRef

Tao, T.C.Y.[Trevor Chi-Yuen], Crisp, D.J.[David James], van der Hoek, J.[John],
Mathematical Analysis of An Extended Mumford-Shah Model for Image Segmentation,
JMIV(24), No. 3, May 2006, pp. 327-340.
WWW Version. 0605 BibRef

Feddern, C.[Christian], Weickert, J.[Joachim], Burgeth, B.[Bernhard], Welk, M.[Martin],
Curvature-Driven PDE Methods for Matrix-Valued Images,
IJCV(69), No. 1, August 2006, pp. 93-107.
WWW Version. 0606 BibRef
Earlier: A3, A4, A1, A2:
Morphological Operations on Matrix-Valued Images,
ECCV04(Vol IV: 155-167).
WWW Version. 0405Applied to diffusion tensor magnetic resonance imaging. Detecting edges in tensor fields. Tensorial active contours. See also Tensor-driven Active Contour Model for Moving Object Segmentation, A. BibRef

Burgeth, B.[Bernhard], Bruhn, A.[Andres], Didas, S.[Stephan], Weickert, J.[Joachim], Welk, M.[Martin],
Morphology for matrix data: Ordering versus PDE-based approach,
IVC(25), No. 4, April 2007, pp. 496-511.
WWW Version. 0702Mathematical morphology; Dilation; Erosion; Matrix-valued images; Diffusion tensor MRI; Loewner ordering; Nonlinear partial differential equation BibRef

Bresson, X.[Xavier], Vandergheynst, P.[Pierre], Thiran, J.P.[Jean-Philippe],
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional,
IJCV(68), No. 2, June 2006, pp. 145-162.
WWW Version. 0606 BibRef
Earlier:
A priori information in image segmentation: energy functional based on shape statistical model and image information,
ICIP03(III: 425-428).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Bresson, X.[Xavier], Vandergheynst, P.[Pierre], Thiran, J.P.[Jean-Philippe],
Multiscale Active Contours,
IJCV(70), No. 3, December 2006, pp. 197-211.
WWW Version. 0608 BibRef
Earlier: ScaleSpace05(167-178).
WWW Version. 0505 BibRef

Bogdanova, I., Bresson, X.[Xavier], Thiran, J.P.[Jean-Philippe], Vandergheynst, P.[Pierre],
Scale Space Analysis and Active Contours for Omnidirectional Images,
IP(16), No. 7, July 2007, pp. 1888-1901.
WWW Version. 0707 BibRef

Bresson, X.[Xavier], Esedoglu, S.[Selim], Vandergheynst, P.[Pierre], Thiran, J.P.[Jean-Philippe], Osher, S.J.[Stanley J.],
Fast Global Minimization of the Active Contour/Snake Model,
JMIV(28), No. 2, June 2007, pp. 151-167.
WWW Version. 0710 BibRef

Bresson, X.[Xavier], Chan, T.F.[Tony F.],
Active Contours Based on Chambolle's Mean Curvature Motion,
ICIP07(I: 33-36).
WWW Version. 0709 BibRef

Sirakov, N.M.[Nikolay M.],
A New Active Convex Hull Model for Image Regions,
JMIV(26), No. 3, December 2006, pp. 309-325.
WWW Version. 0701 BibRef

Zagorchev, L.[Lyubomir], Goshtasby, A.[Ardeshir], Satter, M.[Martin],
R-snakes,
IVC(25), No. 6, 1 June 2007, pp. 945-959.
WWW Version. 0704Image segmentation; Energy minimizing contours; R-snakes BibRef

Li, B.[Bing], Acton, S.T.[Scott T.],
Active Contour External Force Using Vector Field Convolution for Image Segmentation,
IP(16), No. 8, August 2007, pp. 2096-2106.
WWW Version. 0709 BibRef
Earlier:
Vector Field Convolution for Image Segmentation using Snakes,
ICIP06(1637-1640). 0610
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Earlier:
Feature Weighted Active Contours for Image Segmentation,
Southwest06(188-192).
WWW Version. 0603 BibRef

Song, Y.,
A Topdown Algorithm for Computation of Level Line Trees,
IP(16), No. 8, August 2007, pp. 2107-2116.
WWW Version. 0709 BibRef

Destrempes, F.[Francois], Mignotte, M.[Max], Angers, J.F.[Jean-Francois],
Localization of Shapes Using Statistical Models and Stochastic Optimization,
PAMI(29), No. 9, September 2007, pp. 1603-1615.
WWW Version. 0709Color segmentation based on deformations. BibRef

Koo, H.I.[Hyung Il], Lee, S.H.[Sang Hwa], Cho, N.I.[Nam Ik],
Bayesian object extraction from uncalibrated image pairs,
SP:IC(22), No. 10, November 2007, pp. 866-876.
WWW Version. 0711Segmentation; MRF models; SIFT; Homography BibRef

Koo, H.I.[Hyung Il], Lee, S.H.[Sang Hwa], Cho, N.I.[Nam Ik], Kim, S.K.[Seong Keun], Lee, D.H.[Dong Hahk], Lee, S.[Sunghoon],
MAP-Based Object Extraction from Uncalibrated Image Pair,
ICIP06(2425-2428). 0610
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Ferrari, V.[Vittorio], Fevrier, L., Jurie, F.[Frederic], Schmid, C.[Cordelia],
Groups of Adjacent Contour Segments for Object Detection,
PAMI(30), No. 1, January 2008, pp. 36-51.
WWW Version. 0711 BibRef
Earlier: A1, A3, A4, Only:
Accurate Object Detection with Deformable Shape Models Learnt from Images,
CVPR07(1-8).
WWW Version. 0706Scale invariant features from chains of straight line segments. BibRef

Bergo, F.P.G.[Felipe P. G.], Falcăo, A.X.[Alexandre X.], Miranda, P.A.V.[Paulo A. V.], Rocha, L.M.[Leonardo M.],
Automatic Image Segmentation by Tree Pruning,
JMIV(29), No. 2-3, November 2007, pp. 141-162.
WWW Version. 0712 BibRef

Falcăo, A.X.[Alexandre X.], Miranda, P.A.V.[Paulo A. V.], Rocha, A.[Anderson],
A Linear-Time Approach for Image Segmentation Using Graph-Cut Measures,
ACIVS06(138-149).
WWW Version. 0609 BibRef

Le Guyader, C., Vese, L.A.[Luminita A.],
Self-Repelling Snakes for Topology-Preserving Segmentation Models,
IP(17), No. 5, May 2008, pp. 767-779.
WWW Version. 0804 BibRef

Zhuang, Y.T.[Yue-Ting], Chen, C.[Cheng],
Efficient Silhouette Extraction with Dynamic Viewpoint,
ICCV07(1-8).
WWW Version. 0710 BibRef

Li, Z.[Zhong], Najarian, K.[Kayvan],
Biomedical Image Segmentation Based on Shape Stability,
ICIP07(VI: 281-284).
WWW Version. 0709 BibRef

Mu, Y.[Ying], Zhang, H.[Hong], Wang, H.[Helong], Zuo, W.[Wei],
Automatic Video Object Segmentation using Graph Cut,
ICIP07(III: 377-380).
WWW Version. 0709 BibRef

Corrigan, D.[David], Harte, N.[Naomi], Kokaram, A.[Anil],
Automated Segmentation of Torn Frames using the Graph Cuts Technique,
ICIP07(I: 557-560).
WWW Version. 0709 BibRef

Chang, H.[Hang], Yang, Q.[Qing], Auer, M.[Manfred], Parvin, B.[Bahram],
Modeling of Front Evolution with Graph Cut Optimization,
ICIP07(I: 241-244).
WWW Version. 0709 BibRef

Hudy, C.[Christopher], Campbell, J.[Jonathan], Slater, J.[John],
Model-based Edge Tracking for Segmentation of Low Contrast Images,
IMVIP07(212-212).
WWW Version. 0709 BibRef

Silveira, M.[Margarida], Marques, J.S.[Jorge S.],
Estimation of Multiple Objects at Unknown Locations with Active Contours,
IbPRIA07(II: 372-379).
WWW Version. 0706 BibRef

Barreira, N., Penedo, M.G., Ibáńez, O., Santos, J.,
Automatic Topological Active Net Division in a Genetic-Greedy Hybrid Approach,
IbPRIA07(II: 226-233).
WWW Version. 0706 BibRef

Kohli, P.[Pushmeet], Kumar, M.P.[M. Pawan], Torr, P.H.S.[Philip H. S.],
P3 & Beyond: Solving Energies with Higher Order Cliques,
CVPR07(1-8).
WWW Version. 0706Energy minimization for texture segmentation. BibRef

Zheng, S.F.[Song-Feng], Tu, Z.W.[Zhuo-Wen], Yuille, A.L.[Alan L.],
Detecting Object Boundaries Using Low-, Mid-, and High-level Information,
CVPR07(1-8).
WWW Version. 0706 BibRef

Simon, I.[Ian], Seitz, S.M.[Steven M.],
A Probabilistic Model for Object Recognition, Segmentation, and Non-Rigid Correspondence,
CVPR07(1-7).
WWW Version. 0706 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.
WWW Version. 0709 BibRef
Earlier: A2, A3, A1:
Segmenting Images on the Tensor Manifold,
CVPR07(1-8).
WWW Version. 0706 BibRef

Michailovich, O.V.[Oleg V.], Tannenbaum, A.[Allen],
Segmentation of Medical Ultrasound Images using Active Contours,
ICIP07(V: 513-516).
WWW Version. 0709 BibRef

Malcolm, J.[James], Rathi, Y.[Yogesh], Tannenbaum, A.[Allen],
Graph Cut Segmentation with Nonlinear Shape Priors,
ICIP07(IV: 365-368).
WWW Version. 0709 BibRef
And:
A Graph Cut Approach to Image Segmentation in Tensor Space,
ComponentAnalysis07(1-8).
WWW Version. 0706 BibRef

Corpetti, T.,
An Active Contour Method Based on Wavelet for Texture Boundaries,
ICIP06(1109-1112). 0610
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Kim, S.H.[Shin-Hyoung], Jang, J.W.[Jong Whan],
Robust Contour Tracking Using a Modified Snake Model in Stereo Image Sequences,
ICIAR07(307-317).
WWW Version. 0708 BibRef
And:
An Improved Snake-Based Method for Object Contour Detection,
ICIP07(I: 249-252).
WWW Version. 0709 BibRef

Alattar, A.M.[Ashraf M.], Jang, J.W.[Jong Whan],
A New Stereo Correspondence Method for Snake-Based Object Segmentation,
ICIP07(III: 381-384).
WWW Version. 0709 BibRef

Kim, S.H.[Shin-Hyoung], Alattar, A.M.[Ashraf M.], Jang, J.W.[Jong Whan],
Snake-Based Objects Tracking in Stereo Sequences with the Optimization of the Number of Snake Points,
ICIP06(193-196). 0610
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Accurate Contour Detection Based on Snakes for Objects with Boundary Concavities,
ICIAR06(I: 226-235).
WWW Version. 0610 BibRef

Han, D.[Dongfeng], Li, W.H.[Wen-Hui], Lu, X.[Xiaosuo], Li, L.[Lin], Wang, Y.[Yi],
Graph-Based Fast Image Segmentation,
SSPR06(468-474).
WWW Version. 0608 BibRef

Han, D.[Dongfeng], Li, W.H.[Wen-Hui], Lu, X.[Xiaosuo], Wang, T.[Tianzhu], Wang, Y.[Yi],
Automatic Segmentation Based on AdaBoost Learning and Graph-Cuts,
ICIAR06(I: 215-225).
WWW Version. 0610 BibRef

Han, D.[Dongfeng], Li, W.H.[Wen-Hui], Lu, X.[Xiaosuo], Wang, Y.[Yi], Zou, X.Q.[Xiao-Qiang],
Certain Object Segmentation Based on AdaBoost Learning and Nodes Aggregation Iterative Graph-Cuts,
AMDO06(196-202).
WWW Version. 0607 BibRef

Beaulieu, J.,
Pseudo-convex Contour Criterion for Hierarchical Segmentation of SAR Images,
CRV06(29-29).
WWW Version. 0607 BibRef

Das, P., Veksler, O.[Olga],
Semiautomatic Segmentation with Compact Shapre Prior,
CRV06(28-28).
WWW Version. 0607Based on See also Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images. BibRef

Lee, S.M.[Sang-Mook], Abbott, A.L., Clark, N.A., Araman, P.A.,
Diffusion on Statistical Manifolds,
ICIP06(233-236). 0610
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Earlier:
Active Contours on Statistical Manifolds And Texture Segmentation,
ICIP05(III: 828-831).
WWW Version. 0512 BibRef

Chia, A., Zagorodnov, V.,
Graph Cut Based Segmentation of Convoluted Objects,
ICIP05(III: 848-851).
WWW Version. 0512 BibRef

Butenuth, M.[Matthias],
Segmentation of Imagery Using Network Snakes,
PCV06(xx-yy).
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Butenuth, M.[Matthias], Heipke, C.[Christian],
Network Snakes-Supported Extraction of Field Boundaries from Imagery,
DAGM05(417).
WWW Version. 0509 BibRef

Jiang, C.Y.[Chun-Yan], Zhang, X.H.[Xin-Hua], Meinel, C.[Christoph],
Hybrid Framework for Medical Image Segmentation,
CAIP05(264).
WWW Version. 0509 BibRef

Kokkinos, I.[Iasonas], Maragos, P.[Petros],
An Expectation Maximization Approach to the Synergy between Image Segmentation and Object Categorization,
ICCV05(I: 617-624).
WWW Version. 0510 BibRef

Kokkinos, I., Evangelopoulos, G., Maragos, P.,
Modulation-feature based textured image segmentation using curve evolution,
ICIP04(II: 1201-1204).
WWW Version.
PDF Version. 0505 BibRef

Gelautz, M.[Margrit], Markovic, D.[Danijela],
Recognition of Object Contours from Stereo Images: An Edge Combination Approach,
3DPVT04(774-780).
IEEE Abstract. IEEE Top Reference. 0412Combine depth edges from stereo with intensity images from image. Then active contours to get precise extraction. BibRef

Bueno, G.[Gloria], Martínez-Albalá, A.[Antonio], Adán, A.[Antonio],
Fuzzy-Snake Segmentation of Anatomical Structures Applied to CT Images,
ICIAR04(II: 33-42).
WWW Version. 0409 BibRef

Wang, Z.[Zhizhou], Vemuri, B.C.[Baba C.],
An affine invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation,
CVPR04(I: 228-233).
IEEE Abstract. IEEE Top Reference. 0408 BibRef

Wang, Z.[Zhizhou], Vemuri, B.C.[Baba C.],
Tensor Field Segmentation Using Region Based Active Contour Model,
ECCV04(Vol IV: 304-315).
WWW Version. 0405 BibRef

Tang, J.[Jinshan], Acton, S.T.,
A DCT based gradient vector flow snake for object boundary detection,
Southwest04(157-161).
IEEE Abstract. IEEE Top Reference. 0411 BibRef

Yu, Y.[Yangjian], Acton, S.T.,
Active contours with area-weighted binary flows for segmenting low SNR imagery,
ICIP03(I: 129-132).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Jodouin, S.[Sylvie], Bentabet, L.[Layachi], Ziou, D.[Djemel], Vaillancourt, J.[Jean], Armenakis, C.[Costas],
A Combined Estimation-Deformation Model for Area Detection: Application to Topographic Area Feature Update,
PCV02(A: 181). 0305 BibRef

Tipwai, P., Madarasmi, S.,
Image search using deformable contours,
ICIP02(I: 437-440).
IEEE Abstract. IEEE Top Reference. 0210 BibRef

Gallo, G., Grasso, G., Nicotra, S., Pulvirenti, A.,
Remote sensed images segmentation through shape refinement,
CIAP01(137-144).
IEEE Top Reference. 0210 BibRef

Lachaud, J.O.[Jacques-Olivier], Vialard, A.[Anne],
Discrete Deformable Boundaries for the Segmentation of Multidimensional Images,
VF01(542 ff.).
HTML Version. 0209 BibRef

Rivera, M.[Mariano], Gee, J.[James],
Image Segmentation by Flexible Models Based on Robust Regularized Networks,
ECCV02(III: 621 ff.).
HTML Version. 0205 BibRef

Tan, K.H.[Kar-Han], Ahuja, N.[Narendra],
A Representation for Image Structure and Its Application to Object Selection Using Freehand Sketches,
CVPR01(II:677-683).
IEEE Abstract. IEEE Top Reference. 0110Rough outline of the desired object. Select the good segmentation. BibRef

Fenster, S.D., Kuo, C.B.G., Kender, J.R.,
Nonparametric Training of Snakes to Find Indistinct Boundaries,
MMBIA01(xx-yy). 0110 BibRef

Matsuzawa, Y., Kumazawa, I., Abe, T.,
Region Extraction Method Based on Clustering Along an Object Contour,
ICIP01(III: 86-89).
IEEE Abstract. IEEE Top Reference. 0108 BibRef

Haris, K., Efstratiadis, S., Maglaveras, N.,
Hierarchical Image Segmentation Based on Contour Dynamics,
ICIP01(I: 54-57).
IEEE Abstract. IEEE Top Reference. 0108 BibRef

Yu, H.[Honggang], Pattichis, M.S., Goens, M.B.,
Robust Segmentation of Freehand Ultrasound Image Slices Using Gradient Vector Flow Fast Geomet