8.4.1 Watershed Algorithms, Watershed Segmentation

Beucher, S.,
Watersheds of Functions and Picture Segmentation,
ICASSP82(1928-1931). The original watershed paper. See also Segmentation Tools in Mathematical Morphology. BibRef 8200

Meyer, F., and Beucher, S.,
Morphological Segmentation,
JVCIR(1), No. 1, September 1990, pp. 21-46. Watershed technique. BibRef 9009

Meyer, F.,
Topographic Distance and Watershed Lines,
SP(38), No. 1, July 1994, pp. 113-125. BibRef 9407

Meyer, F.,
Flooding and Segmentation,
MMAISP00(189-198). BibRef 0001

Watson, A.I.,
A New Method of Classification for Landsat Data Using the 'Watershed' Algorithm,
PRL(6), 1987, pp. 15-19. BibRef 8700

Vincent, L., and Soille, P.[Pierre],
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations,
PAMI(13), No. 6, June 1991, pp. 583-598.
IEEE Abstract. IEEE Top Reference.
WWW Version. Description of Watershed techniques. BibRef 9106

Najman, L., Schmitt, M.,
Geodesic Saliency of Watershed Contours and Hierarchical Segmentation,
PAMI(18), No. 12, December 1996, pp. 1163-1173.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9701
Morphology. Morphology based segmentation, find the regions based on analysis of the contours. See also Comments on Geodesic Saliency of Watershed Contours and Hierarchical Segmentation. BibRef

Najman, L., Schmitt, M.,
Watershed of a continuous function,
SP(38), No. 1, 1994, pp. 99-112. BibRef 9400

Cousty, J.[Jean], Couprie, M.[Michel], Najman, L.[Laurent], Bertrand, G.[Gilles],
Fusion Graphs: Merging Properties and Watersheds,
JMIV(30), No. 1, January 2008, pp. 87-104.
Springer DOI Link 0801
BibRef
Earlier: A1, A4, A2, A3:
Grayscale Watersheds on Perfect Fusion Graphs,
IWCIA06(60-73).
Springer DOI Link 0606
BibRef

Cousty, J.[Jean], Bertrand, G.[Gilles], Najman, L.[Laurent], Couprie, M.[Michel],
Watershed Cuts: Minimum Spanning Forests and the Drop of Water Principle,
PAMI(31), No. 8, August 2009, pp. 1362-1374.
IEEE DOI Link 0906
BibRef
Earlier:
On Watershed Cuts and Thinnings,
DGCI08(xx-yy).
Springer DOI Link 0804
Watersheds in edge-weighted graphs. See also On Topological Watersheds. BibRef

Cousty, J.[Jean], Najman, L.[Laurent], Serra, J.[Jean],
Raising in watershed lattices,
ICIP08(2196-2199).
IEEE DOI Link 0810
BibRef

Cousty, J.[Jean], Bertrand, G.[Gilles],
Uniqueness of the Perfect Fusion Grid on Zd,
JMIV(34), No. 3, July 2009, pp. xx-yy.
Springer DOI Link 0906
BibRef

Shafarenko, L., Petrou, M., Kittler, J.V.,
Automatic Watershed Segmentation of Randomly Textured Color Images,
IP(6), No. 11, November 1997, pp. 1530-1544.
IEEE DOI Link 9710
Color. Texture. See also Histogram Based Segmentation in a Perceptually Uniform Color Space. BibRef

Moga, A.N.[Alina N.], Gabbouj, M.[Moncef],
Parallel Image Component Labeling with Watershed Transformation,
PAMI(19), No. 5, May 1997, pp. 441-450.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9705
Watershed. Delimit the extent of connected components locally (on each processor). Use pyramidal structure. Expand the regions out from minima until they colides with another. BibRef

Moga, A.N., Gabbouj, M.,
A Parallel Marker Based Watershed Transformation,
ICIP96(II: 137-140).
IEEE DOI Link BibRef 9600

Dorbin, B.P., Viero, T., Gabbouj, M.,
Fast Watershed Algorithms: Analysis and Extensions,
SPIE(2180), 1994, pp. 209-220. BibRef 9400

Moga, A.N.,
Parallel Watershed Algorithms for Image Segmentation,
Ph.D.Thesis, Tampere Univ. of Tech., Finland, February 1997. BibRef 9702

Moga, A.N., Cramariuc, B., Gabbouj, M.,
An Efficient Watershed Segmentation Algorithm Suitable for Parallel Implementation,
ICIP95(II: 101-104).
IEEE DOI Link 9510
BibRef

Lemarechal, C., Fjortoft, R., Marthon, P., Cubero-Castan, E.,
Comments on Geodesic Saliency of Watershed Contours and Hierarchical Segmentation,
PAMI(20), No. 7, July 1998, pp. 762-766.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9808
See also Geodesic Saliency of Watershed Contours and Hierarchical Segmentation. BibRef

Schmitt, M.,
Response to the Comment on Geodesic Saliency of Watershed Contours and Hierarchical Segmentation,
PAMI(20), No. 7, July 1998, pp. 764-766.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9808
BibRef

Wang, D.M.,
A Multiscale Gradient Algorithm for Image Segmentation Using Watersheds,
PR(30), No. 12, December 1997, pp. 2043-2052.
WWW Version. 9805
For Video application: See also Unsupervised Video Segmentation Based on Watersheds and Temporal Tracking. BibRef

Gauch, J.M.[John M.],
Image Segmentation and Analysis via Multiscale Gradient Watershed Hierarchies,
IP(8), No. 1, January 1999, pp. 69-79.
IEEE DOI Link BibRef 9901

Haris, K., Efstratiadis, S.N., Maglaveras, N., Katsaggelos, A.K.,
Hybrid Image Segmentation Using Watersheds And Fast Region Merging,
IP(7), No. 12, December 1998, pp. 1684-1699.
IEEE DOI Link 9812
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

Haris, K., Efstratiadis, S.N., Maglaveras, N.,
Watershed-based image segmentation with fast region merging,
ICIP98(III: 338-342).
IEEE DOI Link 9810
BibRef

Pratikakis, I.E., Sahli, H., Cornelis, J.,
Low level image partitioning guided by the gradient watershed hierarchy,
SP(75), No. 2, 1 June 1999, pp. 173-195. BibRef 9906

Li, W.[Wei], Benie, G.B.[Goze B.], He, D.C.[Dong-Chen], Wang, S.R.[Sheng-Rui], Ziou, D.[Djemel], Gwyn, Q.H.J.[Q. Hugh J.],
Watershed-based hierarchical SAR image segmentation,
JRS(20), No. 17, November 1999, pp. 3377. BibRef 9911

Hansen, M.W., Higgins, W.E.,
Watershed-Based Maximum-Homogeneity Filtering,
IP(8), No. 7, July 1999, pp. 982-988.
IEEE DOI Link BibRef 9907
Earlier:
Image enhancement using watershed-based maximum homogeneity filtering,
ICIP95(I: 482-485).
IEEE DOI Link 9510
BibRef

Arcelli, C.[Carlo],
Topological changes in grey-tone digital pictures,
PR(32), No. 6, June 1999, pp. 1019-1023.
WWW Version. Reduce to a few regions. BibRef 9906

Bleau, A.[Andrè], Leon, L.J.[L. Joshua],
Watershed-Based Segmentation and Region Merging,
CVIU(77), No. 3, March 2000, pp. 317-370. 0004

WWW Version. BibRef

Bieniek, A., Moga, A.,
An efficient watershed algorithm based on connected components,
PR(33), No. 6, June 2000, pp. 907-916.
WWW Version. 0004
BibRef

Bieniek, A.[Andreas], Burkhardt, H.[Hans], Marschner, H.[Heiko], Noolle, M.[Michael], and Schreiber, G.[Gerald],
A Parallel Watershed Algorithm,
SCIA97(xx-yy) 9705

HTML Version. BibRef

Pitas, I., Cotsaces, C.I.,
Memory Efficient Propagation-Based Watershed and Influence Zone Algorithms for Large Images,
IP(9), No. 7, July 2000, pp. 1185-1199.
IEEE DOI Link 0006
BibRef

Kim, J.B.[Jong-Bae], Kim, H.J.[Hang-Joon],
Multiresolution-based watersheds for efficient image segmentation,
PRL(24), No. 1-3, January 2003, pp. 473-488.
HTML Version. 0211
BibRef

Kim, J.B.[Jong Bae], Kim, H.J.[Hang Joon],
A wavelet-based watershed image segmentation for VOP generation,
ICPR02(III: 505-508).
IEEE DOI Link 0211
BibRef

Nguyen, H.T.[Hieu Tat], Worring, M.[Marcel], van den Boomgaard, R.[Rein],
Watersnakes: Energy-Driven Watershed Segmentation,
PAMI(25), No. 3, March 2003, pp. 330-342.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0301
BibRef
And: TR12, Intelligent Sensory Information Systems Group, Univ. of Amsterdam, 2000.
Postscript Version. Combine energy approach with watershed approach by including (as energy) distance to the watershed. Impose a priori conditions (smoothness). See also Tracking nonparameterized object contours in video. BibRef

Nguyen, H.T.[Hieu Tat], Ji, Q.A.[Qi-Ang],
Shape-Driven Three-Dimensional Watersnake Segmentation of Biological Membranes in Electron Tomography,
MedImg(27), No. 5, May 2008, pp. 616-628.
IEEE DOI Link 0711
BibRef
Earlier:
Improved watershed segmentation using water diffusion and local shape priors,
CVPR06(I: 985-992).
IEEE DOI Link 0606
BibRef

Malpica, N.[Norberto], Ortuño, J.E.[Juan E.], Santos, A.[Andrés],
A multichannel watershed-based algorithm for supervised texture segmentation,
PRL(24), No. 9-10, June 2003, pp. 1545-1554.
WWW Version. 0304
BibRef

Vanhamel, I., Pratikakis, I.E., Sahli, H.,
Multiscale gradient watersheds of color images,
IP(12), No. 6, June 2003, pp. 617-626.
IEEE DOI Link 0307
BibRef

Vanhamel, I., Pratikakis, I.E., Sahli, H.,
Multiscale Graph Theory Based Color Segmentation,
ICIP06(769-772). 0610

IEEE DOI Link BibRef
Earlier: A1, A3, A2:
Nonlinear Multiscale Graph Theory based Segmentation of Color Images,
ICPR06(II: 407-411).
WWW Version. 0609
BibRef
Earlier: A1, A2, A3:
Hierarchical segmentation using dynamics of multi-scale color gradient watersheds,
ScaleSpace01(xx-yy). 0106
BibRef

Pratikakis, I.E., Sahli, H., Cornelis, J.,
Hierarchical Segmentation Using Dynamics of Multiscale Gradient Watersheds,
SCIA99(Image Analysis). BibRef 9900
Earlier:
Hierarchy Determination of the Gradient Watershed Adjacent Groups,
SCIA97(xx-yy) 9705

HTML Version. BibRef

Katartzis, A., Vanhamel, I., Sahli, H.,
A Hierarchical Markovian Model for Multiscale Region-Based Classification of Vector-Valued Images,
GeoRS(43), No. 3, March 2005, pp. 548-558.
IEEE Abstract. IEEE Top Reference. 0501
BibRef

Vanhamel, I., Katartzis, A., Sahli, H.,
Hierarchical segmentation via a diffusion scheme in color/texture feature space,
ICIP03(I: 969-972).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Hill, P.R., Canagarajah, C.N., Bull, D.R.,
Image segmentation using a texture gradient based watershed transform,
IP(12), No. 12, December 2003, pp. 1618-1633.
IEEE DOI Link 0402
BibRef

Nieniewski, M.,
Extraction of Diffuse Objects From Images by Means of Watershed and Region Merging: Example of Solar Images,
SMC-B(34), No. 1, February 2004, pp. 796-801.
IEEE Abstract. IEEE Top Reference. 0403
Developed for segmentation of solar images obtained from extreme-UV imaging telescope (EIT). BibRef

Grau, V., Mewes, A.U.J., Alcaniz, M., Kikinis, R., Warfield, S.K.,
Improved watershed transform for medical image segmentation using prior information,
MedImg(23), No. 4, April 2004, pp. 447-458.
IEEE Abstract. IEEE Top Reference. 0406
BibRef

Rambabu, C., Chakrabarti, I., Mahanta, A.,
Flooding-based watershed algorithm and its prototype hardware architecture,
VISP(151), No. 3, June 2004, pp. 224-234.
IEEE Abstract. IEEE Top Reference. 0409
BibRef

Tsai, Y.P.[Yu-Pao], Lai, C.C.[Chih-Chuan], Hung, Y.P.[Yi-Ping], Shih, Z.C.,
A Bayesian Approach to Video Object Segmentation via Merging 3-D Watershed Volumes,
CirSysVideo(15), No. 1, January 2005, pp. 175-180.
IEEE Abstract. IEEE Top Reference. 0501
BibRef
Earlier: A3, A1, A2 only: ICPR02(I: 496-499).
IEEE DOI Link 0211
BibRef

Makrogiannis, S., Economou, G., Fotopoulos, S., Bourbakis, N.G.,
Segmentation of Color Images Using Multiscale Clustering and Graph Theoretic Region Synthesis,
SMC-A(35), No. 2, March 2005, pp. 224-238.
IEEE Abstract. IEEE Top Reference. 0501
Combine region segmentation and clustering. Multi-scale clustering, then combine these regions into the final result. BibRef

Makrogiannis, S., Vanhamel, I., Sahli, H., Fotopoulos, S.,
Scale Space Segmentation of Color Images Using Watersheds and Fuzzy Region Merging,
ICIP01(I: 734-737).
IEEE Abstract. IEEE Top Reference. 0108
BibRef

Makrogiannis, S., Economou, G., Fotopoulos, S.,
Region oriented compression of color images using fuzzy inference and fast merging,
PR(35), No. 9, September 2002, pp. 1807-1820.
WWW Version. 0206
BibRef

Theoharatos, C., Pothos, V.K., Laskaris, N.A., Economou, G., Fotopoulos, S.,
Multivariate image similarity in the compressed domain using statistical graph matching,
PR(39), No. 10, October 2006, pp. 1892-1904.
WWW Version. 0606
Image similarity; Multivariate statistics; Graph matching; Minimal spanning tree (MST); Similarity measures; Discrete cosine transform (DCT); JPEG image compression; Image retrieval See also Combining self-organizing neural nets with multivariate statistics for efficient color image retrieval. BibRef

Makrogiannis, S., Schelkens, P., Fotopoulos, S., Cornelis, J.,
Region-oriented Compression of Color Images Using Fuzzy Inference and Shape Adaptive DCT,
ICIP01(III: 478-481).
IEEE Abstract. IEEE Top Reference. 0108
BibRef

Makrogiannis, S., Theoharatos, C., Economou, G., Fotopoulos, S.,
Color image segmentation using multiscale fuzzy C-means and graph theoretic merging,
ICIP03(I: 985-988).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Makrogiannis, S., Economou, G., Fotopoulos, S.,
A region dissimilarity relation that combines feature-space and spatial information for color image segmentation,
SMC-B(35), No. 1, February 2005, pp. 44-53.
IEEE Abstract. IEEE Top Reference. 0501
See also Combining self-organizing neural nets with multivariate statistics for efficient color image retrieval. BibRef

Patino, L.[Luis],
Fuzzy relations applied to minimize over segmentation in watershed algorithms,
PRL(26), No. 6, 1 May 2005, pp. 819-828.
WWW Version. 0501
BibRef

Jung, C.R.[Cláudio Rosito], Scharcanski, J.[Jacob],
Robust watershed segmentation using wavelets,
IVC(23), No. 7, 1 July 2005, pp. 661-669.
WWW Version. 0506
BibRef

Jung, C.R.[Cláudio Rosito],
Combining wavelets and watersheds for robust multiscale image segmentation,
IVC(25), No. 1, January 2007, pp. 24-33.
WWW Version. 0611
Segmentation; Watersheds; Wavelets; Multiresolution; Denoising; Region merging BibRef

Jung, C.R.[Cláudio Rosito],
Unsupervised multiscale segmentation of color images,
PRL(28), No. 4, 1 March 2007, pp. 523-533.
WWW Version. 0701
Watersheds; Wavelets; Multiresolution; Color images; Region merging BibRef

Zhao, C.G.[Chen Guang], Zhuang, T.G.[Tian Ge],
A hybrid boundary detection algorithm based on watershed and snake,
PRL(26), No. 9, 1 July 2005, pp. 1256-1265.
WWW Version. 0506
BibRef

Sun, H.[Han], Yang, J.Y.[Jing-Yu], Ren, M.[Mingwu],
A fast watershed algorithm based on chain code and its application in image segmentation,
PRL(26), No. 9, 1 July 2005, pp. 1266-1274.
WWW Version. 0506
BibRef

Beare, R.,
A Locally Constrained Watershed Transform,
PAMI(28), No. 7, July 2006, pp. 1063-1074.
IEEE DOI Link 0606
Introduce border constraints by modifying the path definition of the watershed transform. BibRef

Osma-Ruiz, V.[Víctor], Godino-Llorente, J.I.[Juan I.], Sáenz-Lechón, N.[Nicolás], Gómez-Vilda, P.[Pedro],
An improved watershed algorithm based on efficient computation of shortest paths,
PR(40), No. 3, March 2007, pp. 1078-1090.
WWW Version. 0611
Watershed; Image segmentation; Arrowing BibRef

de Carvalho, M.A.G.[Marco A.G.], de Alencar Lotufo, R.[Roberto], Couprie, M.[Michel],
Morphological segmentation of yeast by image analysis,
IVC(25), No. 1, January 2007, pp. 34-39.
WWW Version. 0611
Yeast; Watershed; Scale-space; Image analysis BibRef

Frucci, M.[Maria], Ramella, G.[Giuliana], Sanniti di Baja, G.[Gabriella],
Using resolution pyramids for watershed image segmentation,
IVC(25), No. 6, 1 June 2007, pp. 1021-1031.
WWW Version. 0704
Segmentation; Watershed transformation; Resolution pyramid See also Shape and topology preserving multi-valued image pyramids for multi-resolution skeletonization. BibRef

Ramella, G.[Giuliana], Sanniti di Baja, G.[Gabriella],
Detecting Foreground Components in Grey Level Images for Shift Invariant and Topology Preserving Pyramids,
ICIAR04(I: 57-64).
WWW Version. 0409
BibRef

Audigier, R.[Romaric], Lotufo, R.A.[Roberto A.],
Uniquely-Determined Thinning of the Tie-Zone Watershed Based on Label Frequency,
JMIV(27), No. 2, February 2007, pp. 157-173.
Springer DOI Link 0704
BibRef

Levner, I.[Ilya], Zhang, H.[Hong],
Classification-Driven Watershed Segmentation,
IP(16), No. 5, May 2007, pp. 1437-1445.
IEEE DOI Link 0704
BibRef

Levner, I.[Ilya], Greiner, R.[Russell], Zhang, H.[Hong],
Supervised image segmentation via ground truth decomposition,
ICIP08(737-740).
IEEE DOI Link 0810
BibRef

Trieu, D.B.K.[Dang Ba Khac], Maruyama, T.[Tsutomu],
Real-time image segmentation based on a parallel and pipelined watershed algorithm,
RealTimeIP(2), No. 4, December 2007, pp. 319-329.
Springer DOI Link 0712
BibRef

Sofou, A., Maragos, P.[Petros],
Generalized Flooding and Multicue PDE-Based Image Segmentation,
IP(17), No. 3, March 2008, pp. 364-376.
IEEE DOI Link 0802
BibRef
Earlier:
PDE-based modeling of image segmentation using volumic flooding,
ICIP03(II: 431-434).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Meyer, F.[Fernand], Maragos, P.[Petros],
Multiscale Morphological Segmentations based on Watershed, Flooding, and Eikonal PDE,
ScaleSpace99(351-362). BibRef 9900

Peter, Z., Bousson, V., Bergot, C., Peyrin, F.,
A constrained region growing approach based on watershed for the segmentation of low contrast structures in bone micro-CT images,
PR(41), No. 7, July 2008, pp. 2358-2368.
WWW Version. 0804
Image segmentation; Anisotropic diffusion; Bones; X-ray tomography BibRef

Dagher, I.[Issam], El Tom, K.[Kamal],
WaterBalloons: A hybrid watershed Balloon Snake segmentation,
IVC(26), No. 7, 2 July 2008, pp. 905-912.
WWW Version. 0804
Watershed; Active contour model; Snake balloon; Segmentation; WaterBalloons BibRef

Eom, S.[Seongeun], Shin, V.[Vladimir], Ahn, B.[Byungha],
Cellular Watersheds: A Parallel Implementation of the Watershed Transform on the CNN Universal Machine,
IEICE(E90-D), No. 4, April 2007, pp. 791-794.
WWW Version. 0704
BibRef

Rao, A.R.[A. Ramachandra], Srinivas, V.V.,
Regionalization of Watersheds: An Approach Based on Cluster Analysis,
Springer2008, ISBN: 978-1-4020-6851-5
WWW Version. To purchase this book look here BibRef 0800

Hamarneh, G.[Ghassan], Li, X.X.[Xiao-Xing],
Watershed segmentation using prior shape and appearance knowledge,
IVC(27), No. 1-2, January 2009, pp. 59-68.
WWW Version. 0811
BibRef
Earlier: A2, A1:
Modeling Prior Shape and Appearance Knowledge in Watershed Segmentation,
CRV05(27-33).
IEEE DOI Link 0505
Watershed transformation; Prior shape knowledge; Segmentation; k-Means clustering Medical applications. BibRef

Hanselmann, M.[Michael], Köthe, U.[Ullrich], Renard, B.Y.[Bernhard Y.], Kirchner, M.[Marc], Heeren, R.M.A.[Ron M. A.], Hamprecht, F.A.[Fred A.],
Multivariate Watershed Segmentation of Compositional Data,
DGCI09(180-192).
Springer DOI Link 0909
BibRef

Meine, H.[Hans], Stelldinger, P.[Peer], Köthe, U.[Ullrich],
Pixel Approximation Errors in Common Watershed Algorithms,
DGCI09(193-202).
Springer DOI Link 0909
BibRef

Monteiro, F.C.[Fernando C.], Campilho, A.[Aurelio],
Watershed framework to region-based image segmentation,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Kauffmann, C.[Claude], Piche, N.[Nicolas],
Cellular automaton for ultra-fast watershed transform on GPU,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Chefd'hotel, C.[Christophe], Sebbane, A.[Alexis],
Random Walk and Front Propagation on Watershed Adjacency Graphs for Multilabel Image Segmentation,
ICV07(1-7).
IEEE DOI Link 0710
BibRef

Meyer, F.[Fernand], Lerallut, R.[Romain],
Morphological Operators for Flooding, Leveling and Filtering Images Using Graphs,
GbRPR07(158-167).
Springer DOI Link 0706
BibRef

Delest, S.[Sebastien], Bone, R.[Romuald], Cardot, H.[Hubert],
Automatically Computed Markers for the 3D Watershed Segmentation,
ICIP07(VI: 533-536).
IEEE DOI Link 0709
BibRef

Corcoran, P.[Padraig], Winstanley, A.[Adam],
Watershed Segmentation Using a Multiscale Ramp Edge Merging Strategy,
IMVIP07(158-168).
IEEE DOI Link 0709
BibRef

Frucci, M.[Maria], Perner, P.[Petra], Sanniti di Baja, G.[Gabriella],
Watershed Segmentation Via Case-Based Reasoning,
BVAI07(244-253).
Springer DOI Link 0710
BibRef

Mory, B.[Benoit], Ardon, R.[Roberto], Thiran, J.P.[Jean-Philippe],
Variational Segmentation using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Mory, B.[Benoit], Ardon, R.[Roberto],
Fuzzy Region Competition: A Convex Two-Phase Segmentation Framework,
SSVM07(214-226).
Springer DOI Link 0705
BibRef

Lefèvre, S.[Sébastien],
Knowledge from Markers in Watershed Segmentation,
CAIP07(579-586).
Springer DOI Link 0708
BibRef

de Bock, J.[Johan], Philips, W.[Wilfried],
Line Segment Based Watershed Segmentation,
MIRAGE07(579-586).
Springer DOI Link 0703
BibRef

Huang, W.L.[Wen-Long], Jiao, L.C.[Li-Cheng],
Unsupervised Texture Segmentation Based on Watershed and a Novel Artificial Immune Antibody Competitive Network,
PSIVT06(495-503).
Springer DOI Link 0612
BibRef

Pina, P.[Pedro], Saraiva, J.[José], Bandeira, L.[Lourenço], Barata, T.[Teresa],
Identification of Martian Polygonal Patterns Using the Dynamics of Watershed Contours,
ICIAR06(II: 691-699).
Springer DOI Link 0610
BibRef

Macenko, M.[Marc], Celenk, M.[Mehmet], Ma, L.M.[Li-Min],
Lesion Detection Using Morphological Watershed Segmentation and Modelbased Inverse Filtering,
ICPR06(IV: 679-682).
WWW Version. 0609
BibRef

Climent, J.[Joan], Sanfeliu, A.[Alberto],
Visually Significant Dynamics for Watershed Segmentation,
ICPR06(II: 341-344).
WWW Version. 0609
BibRef

Pinidiyaarachchi, A.[Amalka], Wählby, C.[Carolina],
Seeded Watersheds for Combined Segmentation and Tracking of Cells,
CIAP05(336-343).
Springer DOI Link 0509
BibRef

Holting, P.[Per], Wählby, C.[Carolina],
Easy-to-Use Object Selection by Color Space Projections and Watershed Segmentation,
CIAP05(269-276).
Springer DOI Link 0509
BibRef

Guerfi, S., Gambotto, J.P., Lelandais, S.,
Implementation of the watershed method in the HSI color space for the face extraction,
AVSBS05(282-286).
IEEE DOI Link 0602
BibRef

Tek, H.[Huseyin], Akova, F.[Ferit], Ayvacy, A.[Alper],
Region Competition via Local Watershed Operators,
CVPR05(II: 361-368).
IEEE DOI Link 0507
BibRef

Brun, L.[Luc], Vautrot, P.[Philippe], Meyer, F.[Fernand],
Hierarchical Watersheds with Inter-pixel Boundaries,
ICIAR04(I: 840-847).
WWW Version. 0409
BibRef

Huang, X.[Xiaoqiang], Fisher, M.[Mark], Zhu, Y.O.[Yan-Ong],
From Min Tree to Watershed Lake Tree: Theory and Implementation,
ICIAR04(I: 848-857).
WWW Version. 0409
BibRef

Huang, X.[Xiaoqiang], Fisher, M.[Mark],
From Min Tree to Watershed Lake Tree: Evaluation,
ICIAR04(I: 858-865).
WWW Version. 0409
BibRef

Gies, V., Bernard, T.M.,
Statistical solution to watershed over-segmentation,
ICIP04(III: 1863-1866).
IEEE DOI Link 0505
BibRef

Hu, Y.[Yi], Nagao, T.,
A matching method based on marker-controlled watershed segmentation,
ICIP04(I: 283-286).
IEEE DOI Link 0505
BibRef

Chen, Q.X.[Qiu-Xiao], Zhou, C.H.[Cheng-Hu], Luo, J.[Jiancheng], Ming, D.[Dongping],
Fast Segmentation of High-Resolution Satellite Images Using Watershed Transform Combined with an Efficient Region Merging Approach,
IWCIA04(621-630).
WWW Version. 0505
BibRef

Park, C.B.[Chang-Beom], Lee, K.W.[Kwang-Woo], Lee, S.W.[Seong-Whan],
Automatic microarray image segmentation based on watershed transformation,
ICPR04(III: 786-789).
IEEE DOI Link 0409
BibRef

Kazanov, M.,
A new color image segmentation algorithm based on watershed transformation,
ICPR04(II: 590-593).
IEEE DOI Link 0409
BibRef

Soares, F., Muge, F.,
Watershed lines suppression by waterfall marker improvement and lineneighbourhood analysis,
ICPR04(I: 604-607).
IEEE DOI Link 0409
BibRef

Kazanov, M.,
Modification of watershed transformation for images, containing small objects,
ICPR04(I: 612-615).
IEEE DOI Link 0409
BibRef

Scheunders, P., Sijbers, J.,
Multiscale watershed segmentation of multivalued images,
ICPR02(III: 855-858).
IEEE DOI Link 0211
See also orthogonal wavelet representation of multivalued images, An. BibRef

Scheunders, P.,
Multivalued image segmentation based on first fundamental form,
CIAP01(185-190).
IEEE Top Reference. 0210
Combine edges and color info. Watershed. BibRef

Eom, S.[Sungeun], Chang, S.[Seokcheol], Ahn, B.[Byungha],
Watershed-based region merging using conflicting regions,
ICIP02(II: 781-784).
IEEE Abstract. IEEE Top Reference. 0210
BibRef

Vanderstockt, Y., Whyte, R.N.,
Watershed Transfromation: Reducing the Over-Segmentation Problem by Applying a Noice Reducer and a Region Merger,
WSCG02(POS-57).
WWW Version.
HTML Version. 0209
BibRef

Mortensen, E.N.[Eric N.], Jia, J.[Jin],
Real-Time Semi-Automatic Segmentation Using a Bayesian Network,
CVPR06(I: 1007-1014).
IEEE DOI Link 0606
BibRef
Earlier:
A Bayesian Network Framework for Real-Time Object Selection,
PercOrg04(44).
IEEE DOI Link 0502
BibRef

Blaffert, T., Dippel, S., Stahl, M., Wiemker, R.,
The Laplace Integral for a Watershed Segmentation,
ICIP00(Vol III: 444-447).
IEEE Abstract. IEEE Top Reference. 0008
BibRef

Yuan, Y.[Yu], Barner, K.,
Color Image Segmentation Using Watersheds and Joint Homogeneity-Edge Integrity Region Merging Criteria,
ICIP06(1117-1120). 0610

IEEE DOI Link BibRef

Hernandez, S., Barner, K.,
Joint Region Merging Criteria for Watershed-based Image Segmentation,
ICIP00(Vol II: 108-111).
IEEE Abstract. IEEE Top Reference. 0008
BibRef

Sporring, J.[Jon], Olsen, O.F.[Ole Fogh],
Segmenting by Compression using Linear Scale-Space and Watersheds,
ScaleSpace99(513-518). BibRef 9900

Shiji, A.[Ayako], Hamada, N.[Nozomu],
Color Image Segmentation Method using Watershed Algorithm and Contour Information,
ICIP99(IV:305-309).
IEEE Abstract. IEEE Top Reference. BibRef 9900

Patras, I., Hendriks, E.A., Lagendijk, R.L.,
An iterative motion estimation-segmentation method using watershed segments,
ICIP98(II: 642-646).
IEEE DOI Link 9810
BibRef

Olsen, O.F.[Ole Fogh], Nielsen, M.[Mads],
Multi-scale gradient magnitude watershed segmentation,
CIAP97(I: 6-13).
WWW Version. 9709
BibRef

Hagyard, D., Razaz, M., Atkin, P.,
Analysis of watershed algorithms for greyscale images,
ICIP96(III: 41-44).
IEEE DOI Link 9610
BibRef

Geraud, T., Mangin, J.F., Bloch, I., Maitre, H.,
Segmenting internal structures in 3D MR images of the brain by Markovian relaxation on a watershed based adjacency graph,
ICIP95(III: 548-551).
IEEE DOI Link 9510
BibRef

Ancin, H., Dufresne, T.E., Ridder, G.M., Turner, J.N., Roysam, B.,
An improved watershed algorithm for counting objects in noisy, anisotropic 3-D biological images,
ICIP95(III: 172-175).
IEEE DOI Link 9510
BibRef

Meijster, A., Roerdink, J.B.T.M.,
A proposal for the implementation of a parallel watershed algorithm,
CAIP95(790-795).
Springer DOI Link 9509
BibRef

Saarinen, K.,
Color image segmentation by a watershed algorithm and region adjacency graph processing,
ICIP94(III: 1021-1025).
IEEE DOI Link 9411
BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Segmentation by Split and Merge Techniques .