8.7.1.2.1 Snakes, Assisted, Interactive Region Segmentations

Chapter Contents (Back)
Deformable Curves. Snakes. Active Contours. Segmentation. Interactive Segmentation.

Mortensen, E.N.[Eric N.], Barrett, W.A.[William A.],
Interactive Segmentation with Intelligent Scissors,
GMIP(60), No. 5, September 1998, pp. 349-384.
PDF Version. BibRef 9809
Earlier:
Toboggan-Based Intelligent Scissors with a Four Parameter Edge Model,
CVPR99(II: 452-458).
IEEE Abstract. IEEE Top Reference.
WWW Version. Extend the above. First find general boundaries -- i.e. using the gradient find the regions that are bounded by high gradients. Then interactive boundaries are easy. Interactive system. For implementation see: See also Intellegent Scissors: Interactive tool for image segmentation. BibRef

Mortensen, E.N.[Eric N.],
Simultaneous Multi-Frame Subpixel Boundary Definition using Toboggan-Based Intelligent Scissors for Image and Movie Editing,
Ph.D.Thesis, Department of Computer Science, Brigham Young University, Provo, UT, December 2000.
HTML Version. BibRef 0012

Mortensen, E.N.[Eric N.],
Vision-Assisted Image Editing,
Computer Graphics(33), No. 4, November 1999, pp. 55-57.
PDF Version. BibRef 9911

Mortensen, E.N.[Eric N.], Barrett, W.A.[William A.],
A Confidence Measure for Boundary Detection and Object Selection,
CVPR01(I:477-484).
IEEE Abstract. IEEE Top Reference. 0110
Create graph from watershed lines, determine whether the graph arc is a boundary. BibRef

Mortensen, E.N., Reese, L.J., Barrett, W.A.,
Intelligent selection tools,
CVPR00(II: 776-777).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0403
BibRef

Nyúl, L.G.[László G.], Falcăo, A.X.[Alexandre X.], Udupa, J.K.[Jayaram K.],
Fuzzy-connected 3D image segmentation at interactive speeds,
GM(64), No. 5, September 2002, pp. Graphical Models, Volume 64, Issue 5, September 2002, 259-281.
WWW Version. 0309
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

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

Luo, H.T.[Hui-Tao], Eleftheriadis, A.[Alexandros],
An interactive authoring system for video object segmentation and annotation,
SP:IC(17), No. 7, August 2002, pp. 559-572.
WWW Version. 0208
BibRef
Earlier:
Rubberband: an improved graph search algorithm for interactive object segmentation,
ICIP02(I: 101-104).
IEEE Abstract. IEEE Top Reference. 0210
BibRef

Luo, H.T.[Hui-Tao],
Efficient image-dependent object shape coding,
ICIP02(I: 169-172).
IEEE Abstract. IEEE Top Reference. 0210
BibRef

Harders, M., Szekely, G.,
Enhancing human-computer interaction in medical segmentation,
PIEEE(91), No. 9, September 2003, pp. 1430-1442.
IEEE DOI Link 0309
BibRef

Harville, M.[Michael],
Segmenting video input using high-level feedback,
US_Patent6,999,620, Feb 14, 2006
WWW Version. BibRef 0602

Weese, J.[Juergen], Pekar, V.[Vladimir], Kaus, M.[Michael],
Image segmentation,
US_Patent7,010,164, Mar 7, 2006
WWW Version. From given shape model BibRef 0603

Protiere, A.[Alexis], Sapiro, G.[Guillermo],
Interactive Image Segmentation via Adaptive Weighted Distances,
IP(16), No. 4, April 2007, pp. 1046-1057.
IEEE DOI Link 0704
BibRef

Shor, R.[Ronen],
Intellegent Scissors: Interactive tool for image segmentation,
Online2008.
HTML Version. Code, Segmentation. Implementation of See also Interactive Segmentation with Intelligent Scissors. BibRef 0800

Shotton, J.D.J.[Jamie D.J.], Winn, J.[John], Rother, C.[Carsten], Criminisi, A.[Antonio],
TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context,
IJCV(81), No. 1, January 2009, pp. xx-yy.
Springer DOI Link 0901
BibRef
And:
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation,
ECCV06(I: 1-15).
Springer DOI Link 0608
BibRef

Bai, X.[Xue], Sapiro, G.[Guillermo],
Geodesic Matting: A Framework for Fast Interactive Image and Video Segmentation and Matting,
IJCV(82), No. 2, April 2009, pp. xx-yy.
Springer DOI Link 0903
BibRef
Earlier:
A Geodesic Framework for Fast Interactive Image and Video Segmentation and Matting,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef
Earlier:
Distancecut: Interactive Segmentation and Matting of Images and Videos,
ICIP07(II: 249-252).
IEEE DOI Link 0709
BibRef

Benmansour, F.[Fethallah], Cohen, L.D.[Laurent D.],
Fast Object Segmentation by Growing Minimal Paths from a Single Point on 2D or 3D Images,
JMIV(33), No. 2, February 2009, pp. xx-yy.
Springer DOI Link 0903
BibRef

Benmansour, F.[Fethallah], Cohen, L.D.[Laurent D.],
From a Single Point to a Surface Patch by Growing Minimal Paths,
SSVM09(648-659).
Springer DOI Link 0906
BibRef

Benmansour, F.[Fethallah], Bonneau, S.[Stephane], Cohen, L.D.[Laurent D.],
Finding a Closed Boundary by Growing Minimal Paths from a Single Point on 2D or 3D Images,
MMBIA07(1-8).
IEEE DOI Link 0710
BibRef

Rouchdy, Y.[Youssef], Cohen, L.D.[Laurent D.],
Image segmentation by geodesic voting. Application to the extraction of tree structures from confocal microscope images,
ICPR08(1-5).
IEEE DOI Link 0812
BibRef

Wu, W., Yang, J.,
Semi-Automatically Labeling Objects in Images,
IP(18), No. 6, June 2009, pp. 1340-1349.
IEEE DOI Link 0905
SmartLabel, BibRef

Hosaka, T.[Tadaaki], Kobayashi, T.[Takumi], Otsu, N.[Nobuyuki],
Image matting based on local color discrimination by SVM,
PRL(30), No. 14, 15 October 2009, pp. 1253-1263,.
Elsevier DOI Link
WWW Version. 0909
BibRef
Earlier: A2, A1, A3:
Image Matting in the Framework of Quantification IV,
ICIP07(VI: 57-60).
IEEE DOI Link 0709
Image matting; Markov random field; Support vector machine; Belief propagation BibRef

McGuinness, K.[Kevin], O'Connor, N.E.[Noel E.],
A comparative evaluation of interactive segmentation algorithms,
PR(43), No. 2, February 2010, pp. 434-444,.
Elsevier DOI Link
WWW Version. 0910
Evaluation, Segmentation. Image segmentation; Interactive segmentation; Objective evaluation; Subjective evaluation; Fuzzy sets; User experiments BibRef

Ning, J.[Jifeng], Zhang, L.[Lei], Zhang, D.[David], Wu, C.[Chengke],
Interactive image segmentation by maximal similarity based region merging,
PR(43), No. 2, February 2010, pp. 445-456,.
Elsevier DOI Link
WWW Version. 0910
Image segmentation; Region merging; Maximal similarity; Mean shift See also NGVF: An improved external force field for active contour model. BibRef

Pauplin, O.[Olivier], Caleb-Solly, P.[Praminda], Smith, J.[Jim],
User-centric image segmentation using an interactive parameter adaptation tool,
PR(43), No. 2, February 2010, pp. 519-529,.
Elsevier DOI Link
WWW Version. 0910
Interactive evolution; Texture-based segmentation; Evolutionary algorithm BibRef


Spina, T.V., Montoya-Zegarra, J.A.[Javier A.], Miranda, P.A.V., Falcăo, A.X.,
Improving User Control with Minimum Involvement in User-Guided Segmentation by Image Foresting Transform,
CAIP09(971-978).
Springer DOI Link 0909
BibRef

Liu, C.[Chen], Li, F.X.[Feng-Xia], Zhang, Y.[Yan], Gu, H.Y.[Hai-Yang],
Interactive Image Segmentation Based on Hierarchical Graph-Cut Optimization with Generic Shape Prior,
ICIAR09(201-210).
Springer DOI Link 0907
BibRef

Zhao, J.Y.[Jie-Yu], Geng, X.W.[Xiao-Wei],
Interactive image segmentation via multi-cue dynamic integration,
ICIP08(3044-3047).
IEEE DOI Link 0810
BibRef

Brand, M.[Matthew], Pletscher, P.[Patrick],
A conditional random field for automatic photo editing,
CVPR08(1-7).
IEEE DOI Link 0806
BibRef

Singaraju, D.[Dheeraj], Grady, L.[Leo], Vidal, R.[Rene],
P-brush: Continuous valued MRFs with normed pairwise distributions for image segmentation,
CVPR09(1303-1310).
IEEE DOI Link 0906
BibRef
Earlier:
Interactive image segmentation via minimization of quadratic energies on directed graphs,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Singaraju, D.[Dheeraj], Rother, C.[Carsten], Rhemann, C.[Christoph],
New appearance models for natural image matting,
CVPR09(659-666).
IEEE DOI Link 0906
BibRef

Singaraju, D.[Dheeraj], Vidal, R.[Rene],
Interactive image matting for multiple layers,
CVPR08(1-7).
IEEE DOI Link 0806
BibRef

Stein, A.N.[Andrew N.], Stepleton, T.S.[Thomas S.], Hebert, M.[Martial],
Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Consularo, L.A.[Luis Augusto], Cesar, R.M.[Roberto M.], Bloch, I.[Isabelle],
Structural Image Segmentation with Interactive Model Generation,
ICIP07(VI: 45-48).
IEEE DOI Link 0709
Segmentation by oversegmentation and user sketch. BibRef

Fauqueur, J.[Julien], Brostow, G.[Gabriel], Cipolla, R.[Roberto],
Assisted Video Object Labeling By Joint Tracking of Regions and Keypoints,
ICV07(1-7).
IEEE DOI Link 0710
BibRef

Garibotto, G.[Giovanni], Garibotto, V.[Valentina],
Edge Tracking of subjective contours in Biomedical Imaging,
CIAP07(737-742).
IEEE DOI Link 0709
BibRef

Pavlopoulou, C.[Christina], Yu, S.X.[Stella X.],
Boundaries as Contours of Optimal Appearance and Area of Support,
EMMCVPR09(480-491).
Springer DOI Link 0908
BibRef

Pavlopoulou, C.[Christina], Kak, A.C.[Avi C.],
Globally Optimal Interactive Boundary Extraction Using Markov Chain Modeling,
PercOrg06(187).
IEEE DOI Link 0609
BibRef

Zou, J.[Jie],
A Model-Based Interactive Object Segmentation Procedure,
WACV05(I: 522-527).
WWW Version. 0502
BibRef

Rother, C.[Carsten], Minka, T.[Tom], Blake, A.[Andrew], Kolmogorov, V.[Vladimir],
Cosegmentation of Image Pairs by Histogram Matching: Incorporating a Global Constraint into MRFs,
CVPR06(I: 993-1000).
IEEE DOI Link 0606
BibRef

Blake, A.[Andrew], Rother, C.[Carsten], Brown, M., Perez, P.[Patrick], Torr, P.H.S.[Philip H.S.],
Interactive Image Segmentation Using an Adaptive GMMRF Model,
ECCV04(Vol I: 428-441).
WWW Version. 0405
Use a Gaussian Mixture Markov Random Field and pseudolikelihood algorithm which jointly learns the color mixture and coherence parameters for foreground and background. BibRef

Shotton, J.D.J.[Jamie D.J.], Johnson, M.[Matthew], Cipolla, R.[Roberto],
Semantic texton forests for image categorization and segmentation,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Sumengen, B.[Baris], Manjunath, B.S., Kenney, C.,
Image segmentation using multi-region stability and edge strength,
ICIP03(III: 429-432).
IEEE Abstract. IEEE Top Reference. 0312
BibRef
Earlier:
Image segmentation using curve evolution and region stability,
ICPR02(II: 965-968).
IEEE DOI Link 0211
BibRef
And:
Image segmentation using curve evolution and flow fields,
ICIP02(I: 105-108).
IEEE Abstract. IEEE Top Reference. 0210
BibRef

Bertelli, L.[Luca], Sumengen, B.[Baris], Manjunath, B.S., Gibou, F.[Frédéric],
A Variational Framework for Multiregion Pairwise-Similarity-Based Image Segmentation,
PAMI(30), No. 8, August 2008, pp. 1400-1414.
IEEE DOI Link 0806
BibRef
Earlier: A1, A2, A3, Only:
Redundancy in All Pairs Fast Marching Method,
ICIP06(3033-3036). 0610

IEEE DOI Link BibRef
And: A1, A2, A3, Only:
Fast and Adaptive Pairwise Similarities for Graph Cuts-based Image Segmentation,
PercOrg06(179).
IEEE DOI Link 0609
BibRef

Bertelli, L.[Luca], Ghosh, P.[Pratim], Manjunath, B.S., Gibou, F.[Frederic],
Reference-based probabilistic segmentation as non-rigid registration using Thin Plate Splines,
ICIP08(3052-3055).
IEEE DOI Link 0810
BibRef

Vu, N.[Nhat], Manjunath, B.S.,
Shape prior segmentation of multiple objects with graph cuts,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

El Saban, M.A., Manjunath, B.S.,
Interactive segmentation using curve evolution and relevance feedback,
ICIP04(IV: 2725-2728).
IEEE DOI Link 0505
BibRef

Gérard, O.[Olivier], Deschamps, T.[Thomas], Greff, M.[Myriam], Cohen, L.D.[Laurent D.],
Real-Time Interactive Path Extraction with on-the-Fly Adaptation of the External Forces,
ECCV02(III: 807 ff.).
HTML Version.
PDF Version. 0205
Interactive tools for segmentation. Like Live-Wire ( See also User-Steered Image Segmentation Paradigms: Live Wire and Live Lane. ) and Intelligent Scissors ( See also Interactive Segmentation with Intelligent Scissors. ). Use both discrete and continuous approaches. Energy functions with user control. BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Snakes, Global Fits, Fitting Specific Models .


Last update:Nov 16, 2009 at 19:35:14