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PIEEE(67), No. 5, May 1979, pp. 773-785.
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A Bottom Up Image Segmentor,
DARPA77(44-54).
Clustering. Find the optimal number of clusters along with the best clusters (try all
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9703
See also Estimation of Generalized Mixtures and Its Application in Image Segmentation.
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Masson, P.,
Global and Local Methods of Unsupervised
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Benmiloud, B.,
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9705
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Earlier:
Unsupervised Segmentation of Multisensor Images Using Generalized
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ICIP96(III: 987-990).
IEEE DOI Link 4-Class segmentation examples.
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Segmentation non Supervisee d'Images Multispectrales
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Ph.D.Thesis, Univ. de Tech. de Compiegne, 1996.
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Hall, L.O.,
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9702
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And:
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PAMI(19), No. 2, February 1997, pp. 192-192.
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Earlier:
Unsupervised feature reduction in image segmentation by local
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ICPR92(II:79-83).
IEEE DOI Link
9208
BibRef
Soh, L.K.,
Tsatsoulis, C.,
Unsupervised segmentation of ERS and Radarsat sea ice images using
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Tang, M.[Ming],
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0112
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And:
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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
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See also Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation.
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Xiao, J.[Jing],
Ma, S.D.[Song-De],
Semantically Homogeneous Segmentation with Nonparametric Region
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ICPR00(Vol I: 648-651).
IEEE DOI Link
HTML Version.
0009
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Heiler, M.[Matthias],
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IJCV(63), No. 1, June 2005, pp. 5-19.
Springer DOI Link
0501
BibRef
Earlier:
ICCV03(1259-1266).
IEEE DOI Link
0311
Award, Marr Prize.
BibRef
Keuchel, J.[Jens],
Schnorr, C.[Chrostoph],
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IEEE Abstract. IEEE Top Reference.
0311
BibRef
Earlier:
Unsupervised Image Partitioning with Semidefinite Programming,
DAGM02(141 ff.).
HTML Version.
0303
Figure-ground.
Segment into coherent parts.
BibRef
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Keuchel, J.[Jens],
Schnörr, C.[Christoph],
Semidefinite Clustering for Image Segmentation with A-priori Knowledge,
DAGM05(309).
Springer DOI Link
0509
BibRef
Earlier: A2, A1, A3:
Hierarchical Image Segmentation Based on Semidefinite Programming,
DAGM04(120-128).
WWW Version.
0505
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Keuchel, J.[Jens],
Küttel, D.[Daniel],
Efficient Combination of Probabilistic Sampling Approximations for
Robust Image Segmentation,
DAGM06(41-50).
Springer DOI Link
0610
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Multiclass Image Labeling with Semidefinite Programming,
ECCV06(II: 454-467).
Springer DOI Link
0608
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Provost, J.N.,
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Rostaing, P.,
Pérez, P.,
Bouthemy, P.,
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CVIU(93), No. 2, February 2004, pp. 155-174.
WWW Version.
0402
Apply water depth model to each segmented region.
BibRef
Provost, J.N.,
Collet, C.,
Perez, P.,
Bouthemy, P.,
A Hierarchical Unsupervised Multispectral Model to Segment SPOT Images
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ICIP99(I:333-337).
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0501
Two classes.
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Jung, Y.B.[Yun-Beom],
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PRL(27), No. 14, 15 October 2006, pp. 1650-1664.
WWW Version.
0609
BibRef
Earlier:
WACV05(I: 2-7).
WWW Version.
0502
Positiveness; Sparse clustering; Binary tree; Model selection;
Intra- and inter-cluster measures
Cluster into regions based on positiveness.
BibRef
Cariou, C.[Claude],
Chehdi, K.[Kacem],
Unsupervised texture segmentation/classification using 2-D
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PRL(29), No. 7, 1 May 2008, pp. 905-917.
WWW Version.
0804
Image segmentation; Classification; Texture; Stochastic modeling;
Parameter estimation; Remote sensing
BibRef
Rosenberger, C.,
Chehdi, K.,
Unsupervised Clustering Method with Optimal Estimation of the Number of
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ICPR00(Vol I: 656-659).
IEEE DOI Link
HTML Version.
0009
BibRef
Franti, P.,
Virmajoki, O.,
Kaukoranta, T.,
Branch-and-bound technique for solving optimal clustering,
ICPR02(II: 232-235).
IEEE DOI Link
0211
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Baggenstoss, P.M.,
The chain-rule processor:
Optimal Classification Through Signal Processing,
ICPR02(I: 230-234).
IEEE DOI Link
0211
BibRef
Baggenstoss, P.M.,
Niemann, H.,
A Theoretically Optimal Probabilistic Classifier Using Class-specific
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ICPR00(Vol II: 763-768).
IEEE DOI Link
HTML Version.
0009
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Comaniciu, D.[Dorin],
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Multivariate Saddle Point Detection for Statistical Clustering,
ECCV02(III: 561 ff.).
HTML Version.
0205
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Comaniciu, D.,
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ICIP02(III: 297-300).
IEEE Abstract. IEEE Top Reference.
0210
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HTML Version.
0009
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Kam, A.H.,
Fitzgerald, W.J.,
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ECCV00(II: 69-84).
WWW Version.
0003
BibRef
Earlier:
Unsupervised multiscale image segmentation,
CIAP99(316-321).
IEEE DOI Link
9909
BibRef
Guo, G.D.[Guo-Dong],
Yu, S.[Shan],
Ma, S.D.[Song-De],
Unsupervised Segmentation Based on Multi-Resolution Analysis,
Robust Statistics and Majority Game Theory,
ICPR98(Vol I: 799-801).
IEEE DOI Link
9808
BibRef
Iivarinen, J.,
Rauhamaa, J.,
Visa, A.,
Unsupervised Segmentation of Surface Defects,
ICPR96(IV: 356-360).
IEEE DOI Link
9608
(Helsinki Univ. of Technology., SF)
BibRef
Kumar, V.,
Manolakos, E.[Elias],
Unsupervised Model-Based Object Recognition by
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ICIP96(III: 967-970).
IEEE DOI Link
BibRef
9600
Rouquet, C.[Catherine],
Bonton, P.[Pierre],
Region-based segmentation of textured images,
CIAP95(11-16).
Springer DOI Link
9509
BibRef
Derras, M.,
Debain, C.,
Berducat, M.,
Bonton, P.,
Gallice, J.,
Unsupervised Regions Segmentation:
Real Time Control of an Upkeep Machine of Natural Spaces,
ECCV94(B:207-212).
Springer DOI Link
BibRef
9400
Horita, Y.,
Murai, T.,
Miyahara, M.,
Region segmentation using K-mean clustering and genetic algorithms,
ICIP94(III: 1016-1020).
IEEE DOI Link
9411
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Other Complete Systems .