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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.],
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0110
Create graph from watershed lines, determine whether the graph arc
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de Alencar Lotufo, R.[Roberto],
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Falcao, A.X.[Alexandre X.],
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Rubberband: an improved graph search algorithm for interactive object
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ICIP02(I: 101-104).
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Luo, H.T.[Hui-Tao],
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ICIP02(I: 169-172).
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0210
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Harders, M.,
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US_Patent6,999,620, Feb 14, 2006
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WWW Version. From given shape model
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Protiere, A.[Alexis],
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Interactive Image Segmentation via Adaptive Weighted Distances,
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Shor, R.[Ronen],
Intellegent Scissors:
Interactive tool for image segmentation,
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HTML Version.
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See also Interactive Segmentation with Intelligent Scissors.
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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
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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],
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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
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Benmansour, F.[Fethallah],
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Cohen, L.D.[Laurent D.],
From a Single Point to a Surface Patch by Growing Minimal Paths,
SSVM09(648-659).
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0906
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Image segmentation by geodesic voting. Application to the extraction of
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IEEE DOI Link
0812
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Wu, W.,
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Semi-Automatically Labeling Objects in Images,
IP(18), No. 6, June 2009, pp. 1340-1349.
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0905
SmartLabel,
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Kobayashi, T.[Takumi],
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WWW Version.
0909
BibRef
Earlier: A2, A1, A3:
Image Matting in the Framework of Quantification IV,
ICIP07(VI: 57-60).
IEEE DOI Link
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Image matting; Markov random field; Support vector machine; Belief propagation
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WWW Version.
0910
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0910
Image segmentation; Region merging; Maximal similarity; Mean shift
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0910
Interactive evolution; Texture-based segmentation; Evolutionary algorithm
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Interactive Image Segmentation Based on Hierarchical Graph-Cut
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ICIAR09(201-210).
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0907
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Interactive image segmentation via multi-cue dynamic integration,
ICIP08(3044-3047).
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0810
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A conditional random field for automatic photo editing,
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IEEE DOI Link
0806
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P-brush: Continuous valued MRFs with normed pairwise distributions for
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CVPR09(1303-1310).
IEEE DOI Link
0906
BibRef
Earlier:
Interactive image segmentation via minimization of quadratic energies
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CVPR08(1-8).
IEEE DOI Link
0806
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Rother, C.[Carsten],
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New appearance models for natural image matting,
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0906
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IEEE DOI Link
0806
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Bloch, I.[Isabelle],
Structural Image Segmentation with Interactive Model Generation,
ICIP07(VI: 45-48).
IEEE DOI Link
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Segmentation by oversegmentation and user sketch.
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ICV07(1-7).
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Edge Tracking of subjective contours in Biomedical Imaging,
CIAP07(737-742).
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Boundaries as Contours of Optimal Appearance and Area of Support,
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Globally Optimal Interactive Boundary Extraction Using Markov Chain
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PercOrg06(187).
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0609
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A Model-Based Interactive Object Segmentation Procedure,
WACV05(I: 522-527).
WWW Version.
0502
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Blake, A.[Andrew],
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Brown, M.,
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WWW Version.
0405
Use a Gaussian Mixture Markov Random Field
and pseudolikelihood algorithm which jointly
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BibRef
Shotton, J.D.J.[Jamie D.J.],
Johnson, M.[Matthew],
Cipolla, R.[Roberto],
Semantic texton forests for image categorization and segmentation,
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IEEE DOI Link
0806
BibRef
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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).
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0210
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Bertelli, L.[Luca],
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Manjunath, B.S.,
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PAMI(30), No. 8, August 2008, pp. 1400-1414.
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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
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ICIP08(3052-3055).
IEEE DOI Link
0810
BibRef
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Manjunath, B.S.,
Shape prior segmentation of multiple objects with graph cuts,
CVPR08(1-8).
IEEE DOI Link
0806
BibRef
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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 .