8.9 Other Segmentation Techniques

Farag, R.F.H.,
An Information Theoretic approach to Image Partitioning,
SMC(8), 1978, pp. 829-833. BibRef 7800

Kailay, B.C.[Balbir Chand], Sadananda, R., Das, J.R.[Junu R.],
An Algorithm for Segmenting Juxtaposed Objects,
PR(13), No. 5, 1981, pp. 347-351.
Elsevier DOI concavities in border. BibRef 8100

Danielsson, P.E.[Per-Erik],
An Improvement of Kruse's Segmentation Algorithm,
CGIP(17), No. 4, December 1981, pp. 394-396.
Elsevier DOI BibRef 8112

Asano, T.[Tetsuo], Yokoya, N.[Naokazu],
Image Segmentation Schema for Low-Level Computer Vision,
PR(14), No. 1-6, 1981, pp. 267-273.
Elsevier DOI Region growing. BibRef 8100

Korn, A.F.[Axel F.],
Toward a Symbolic Representation of Intensity Changes in Images,
PAMI(10), No. 5, September 1988, pp. 610-625.
IEEE DOI Generates regions by combining scan line results. Each scan line is processed to get the point where the region changes. The may be more at home in the edge detection section, but the results are all segmentation results. BibRef 8809

Korn, A.F.[Axel F.],
Robust grouping of intensity changes in outdoor scenes by a histogram and graph based method,
BMVC90(xx-yy).
PDF File. 9009
BibRef

Moran, C.J.,
A Morphological Transformation for Sharpening Edges of Features before Segmentation,
CVGIP(49), No. 1, January 1990, pp. 85-94.
Elsevier DOI Enhance edges, use a histogram based threshold selection procedure. The results are better. BibRef 9001

Phoha, V.V., Oldham, W.J.B.,
Image Recovery and Segmentation Using Competitive Learning in a Layered Network,
TNN(7), No. 4, July 1996, pp. 843-856. 9608
BibRef
And: Correction: TNN(7), No. 6, November 1996, pp. 1547-1548. BibRef

Marchant, J.A., Tillett, R., Brivot, R.,
Real-Time Segmentation of Plants and Weeds,
RealTimeImg(4), 1998, pp. 243-253. Application, Crops. Use IR, apply a threshold. BibRef 9800

Brivot, R., Marchant, J.A.,
Segmentation of Plants and Weeds for a Precision Crop Protection Robot Using Infrared Images,
VISP(143), No. 2, April 1996, pp. 118-124. 9609
IR. BibRef

Marchant, J.A.[John A.], Onyango, C.M.[Christine M.],
Fitting Grey Level Point Distribution Models to Animals in Scenes,
IVC(13), No. 1, February 1995, pp. 3-12.
Elsevier DOI BibRef 9502
Earlier: A1, Only:
Adding Grey Level Information to Point Distribution Models Using Finite Elements,
BMVC93(xx-yy).
PDF File. 9309
BibRef

Onyango, C.M.[Christine M.], Marchant, J.A.[John A.],
Flexible Color Point Distribution Models,
IVC(14), No. 9, October 1996, pp. 703-708.
Elsevier DOI Color Models. Flexible Templates. BibRef 9610

Onyango, C.M.[Christine M.], Marchant, J.A.[John A.],
Physics-based colour image segmentation for scenes containing vegetation and soil,
IVC(19), No. 8, May 2001, pp. 523-538.
Elsevier DOI 0106

See also Design and operation of an imaging sensor for detecting vegetation. BibRef

Onyango, C.M.[Christine M.], Marchant, J.A.[John A.],
Modeling Grey Level Surfaces Using 3-Dimensional Point Distribution Models,
IVC(14), No. 10, December 1996, pp. 733-739.
Elsevier DOI 9612
BibRef

Tambouratzis, G.,
Image Segmentation with the SolNN Unsupervised Logic Neural-Network,
NeurCompApp(6), No. 2, 1997, pp. 91-101. 9801
BibRef

Lee, T.C.M.[Thomas C.M.],
Segmenting Images Corrupted By Correlated Noise,
PAMI(20), No. 5, May 1998, pp. 481-492.
IEEE DOI 9806
BibRef
Earlier: ICIP97(I: 247-250).
IEEE DOI 9710
MDL. Minimum Description Length descriptions. Define the best, and merge to find the best. BibRef

Lee, T.C.M.[Thomas C.M.],
Some Models and Methods in Image Segmentation,
Ph.D.Thesis, Macquarie Univ, Sydney, Australia, 1997. BibRef 9700

Kampke, T.[Thomas], Kober, R.[Rudolf],
Non Parametric Image Segmentation,
PAA(1), No. 3, 1998, pp. xx-yy. BibRef 9800

Tsai, D.M.[Du-Ming], Wang, H.J.[Hu-Jong],
Segmenting focused objects in complex visual images,
PRL(19), No. 10, 31 August 1998, pp. 929-940. BibRef 9808

Lee, J.W.[Joon-Woong], Kweon, I.S.[In-So],
MAP-Based probabilistic reasoning to vehicle segmentation,
PR(31), No. 12, December 1998, pp. 2017-2026.
Elsevier DOI BibRef 9812

Xu, Y.[Ying], Olman, V.[Victor], Uberbacher, E.C.[Edward C.],
A segmentation algorithm for noisy images: Design and evaluation,
PRL(19), No. 13, November 1998, pp. 1213-1224. Evaluation, Texture. BibRef 9811

Cortez, D.[Diogo], Nunes, P.[Paulo], de Sequeira, M.M.[Manuel Menezes], Pereira, F.[Fernando],
Image segmentation towards new image representation methods,
SP:IC(6), No. 6, February 1995, pp. 485-498.
Elsevier DOI BibRef 9502

Jansing, E.D.[E. David], Albert, T.A.[Thomas A.], Chenoweth, D.L.[Darrel L.],
Two-dimensional entropic segmentation,
PRL(20), No. 3, March 1999, pp. 329-336. BibRef 9903

Soh, L.K., Tsatsoulis, C.,
Segmentation of Satellite Imagery of Natural Scenes Using Data Mining,
GeoRS(37), No. 2, March 1999, pp. 1086.
IEEE Top Reference. BibRef 9903

Banerjee, A.[Amit], Burlina, P.[Philipe], Alajaji, F.[Fady],
Image Segmentation and Labeling Using the Polya Urn Model,
IP(8), No. 9, September 1999, pp. 1243-1253.
IEEE DOI BibRef 9909
Earlier: DARPA97(1403-1410). BibRef
And: UMD--TR3801, May 1997.
WWW Link. BibRef

Banerjee, A.[Amit], Burlina, P.[Philipe], Alajaji, F.[Fady],
Contagion-Based Image Segmentation and Labeling,
ICCV98(255-260).
IEEE DOI BibRef 9800

Braquelaire, J.P., Brun, L.,
Image Segmentation with Topological Maps and Inter-Pixel Representation,
JVCIR(9), 1998, pp. 62-79. BibRef 9800

Brun, L.[Luc], Kropatsch, W.G.[Walter G.],
Contraction kernels and combinatorial maps,
PRL(24), No. 8, May 2003, pp. 1051-1057.
Elsevier DOI 0304
BibRef

Shareef, N., Wang, D.L., Yagel, R.,
Segmentation of Medical Images using LEGION,
MedImg(18), No. 1, January 1999, pp. 74-91.
IEEE Top Reference. BibRef 9901

Kim, J.H.[Jung H.], Yoon, S.H.[Sung H.], Lee, C.W.[Chil-Woo], Sohn, K.H.[Kwang H.],
A robust solution for object recognition by mean field annealing techniques,
PR(34), No. 4, April 2001, pp. 885-902.
Elsevier DOI 0101
BibRef

Kalitzin, S.N.[Stiliyan N.], Staal, J.[Joes], ter Haar Romeny, B.M.[Bart M.], and Viergever, M.A.[Max A.],
A Computational Method for Segmenting Topological Point-Sets and Application to Image Analysis,
PAMI(23), No. 5, May 2001, pp. 447-459.
IEEE DOI 0105
BibRef
Earlier:
Frame-Relative Critical Point Sets in Image Analysis,
CAIP99(578-587).
Springer DOI 9909
BibRef

Weickert, J.[Joachim],
Efficient image segmentation using partial differential equations and morphology,
PR(34), No. 9, September 2001, pp. 1813-1824.
Elsevier DOI 0108
BibRef

Chung, D.H.[Do Hyun], Sapiro, G.,
Segmenting skin lesions with partial-differential-equations-based image processing algorithms,
MedImg(19), No. 7, July 2000, pp. 763-767.
IEEE Top Reference. 0110
BibRef
Earlier: ICIP00(Vol III: 404-407).
IEEE DOI 0008
BibRef

Wei, J.[Jie],
Image segmentation based on situational DCT descriptors,
PRL(23), No. 1-3, January 2002, pp. 295-302.
Elsevier DOI 0201
BibRef
Earlier:
Image Segmentation Using Situational DCT Descriptors,
ICIP01(I: 738-741).
IEEE DOI 0108
BibRef

Rombaut, M.[Michèle], Zhu, Y.M.[Yue Min],
Study of Dempster-Shafer theory for image segmentation applications,
IVC(20), No. 1, January 2002, pp. 15-23.
Elsevier DOI 0201
BibRef

Nagarajan, R.,
Intensity-based segmentation of microarray images,
MedImg(22), No. 7, July 2003, pp. 882-889.
IEEE Abstract. 0308
BibRef

Kang, H.W.[Hyung Woo], Shin, S.Y.[Sung Yong],
Enhanced lane: interactive image segmentation by incremental path map construction,
GM(64), No. 5, September 2002, pp. Graphical Models, Volume 64, Issue 5, September 2002, 282-303.
Elsevier DOI 0309
BibRef

Kang, H.W.[Hyung W.],
G-wire: A livewire segmentation algorithm based on a generalized graph formulation,
PRL(26), No. 13, 1 October 2005, pp. 2042-2051.
Elsevier DOI 0509
BibRef

Felzenszwalb, P.F.[Pedro F.], Huttenlocher, D.P.[Daniel P.],
Efficient Graph-Based Image Segmentation,
IJCV(59), No. 2, September 2004, pp. 167-181.
DOI Link
PDF File. Code, Segmentation. And code:
WWW Link. 0404
BibRef

Felzenszwalb, P.F.[Pedro F.], Huttenlocher, D.P.[Daniel P.],
Image Segmentation Using Local Variation,
CVPR98(98-104).
IEEE DOI BibRef 9800

Felzenszwalb, P.F.[Pedro F.], Huttenlocher, D.P.[Daniel P.],
Efficiently Computing a Good Segmentation,
DARPA98(251-258). Motion Segmentation BibRef 9800

Neto, J.F.S.R.[Jeova F. S. Rocha], Felzenszwalb, P.F.[Pedro F.], Vazquez, M.[Marilyn],
Direct Estimation of Appearance Models for Segmentation,
SIIMS(15), No. 1, 2022, pp. 172-191.
DOI Link 2204
BibRef

Galland, F.[Frédéric], Bertaux, N.[Nicolas], Réfrégier, P.[Philippe],
Multi-component image segmentation in homogeneous regions based on description length minimization: Application to speckle, Poisson and Bernoulli noise,
PR(38), No. 11, November 2005, pp. 1926-1936.
Elsevier DOI 0509
BibRef

Galland, F.[Frederic], Refregier, P.[Philippe],
Segmentation of noisy images using information theory based approaches,
IPTA08(1-4).
IEEE DOI 0811
BibRef

Wang, X.N.[Xiao-Nian], Feng, Z.R.[Zu-Ren], Zhang, M.[Miao],
A new segmentation method for phase change thermography sequence,
PR(40), No. 7, July 2007, pp. 1868-1878.
Elsevier DOI 0704
Image segmentation; Phase change thermography sequence; Illumination model; Threshold coefficient BibRef

Edison: Edge Detection and Image SegmentatiON system,
Online2003.
HTML Version. Code, Segmentation. Code, Edge Detection.
See also Mean Shift: A Robust Approach Toward Feature Space Analysis. BibRef 0300

Guo, Y.H.[Yan-Hui], Cheng, H.D.,
New neutrosophic approach to image segmentation,
PR(42), No. 5, May 2009, pp. 587-595.
Elsevier DOI 0902
Neutrosophic set; Entropy; Image segmentation; Indeterminacy; [gamma]-means clustering BibRef

Wang, Z.Z.[Zhen-Zhou], Zhang, Y.M.[Yu-Ming],
Segmentation of fuzzy images: A novel and fast two-step pseudo MAP method,
MVA(23), No. 6, November 2012, pp. 1209-1218.
WWW Link. 1210
BibRef

Kim, Y., Kang, M., Kim, J.M.,
Exploration of Optimal Many-Core Models for Efficient Image Segmentation,
IP(22), No. 5, May 2013, pp. 1767-1777.
IEEE DOI 1303
Parallel computer issues. BibRef

Bardera, A.[Anton], Rigau, J.[Jaume], Boada, I.[Imma], Feixas, M.[Miquel], Sbert, M.[Mateu],
Image Segmentation Using Information Bottleneck Method,
IP(18), No. 7, July 2009, pp. 1601-1612.
IEEE DOI 0906
BibRef
Earlier: A1, A4, A3, A2, A5:
Registration-Based Segmentation Using the Information Bottleneck Method,
IbPRIA07(II: 130-137).
Springer DOI 0706
BibRef
Earlier: A1, A4, A3, A2, A5:
Medical Image Registration Based on BSP and Quad-Tree Partitioning,
WBIR06(1-8).
Springer DOI 0607
BibRef

Bonaventura, X.[Xavier], Feixas, M.[Miquel], Sbert, M.[Mateu],
Information measures for object understanding,
SIViP(7), No. 3, May 2013, pp. 467-478. 1305
BibRef

Rigau, J.[Jaume], Feixas, M.[Miquel], Sbert, M.[Mateu],
Image Information in Digital Photography,
CompPhot10(122-131).
Springer DOI 1109
BibRef
Earlier:
An information theoretic framework for image segmentation,
ICIP04(II: 1193-1196).
IEEE DOI 0505
BibRef

Liu, C.[Cong], Zhou, A.[Aimin], Wu, C.X.[Chun-Xue], Zhang, G.X.[Gui-Xu],
Image segmentation framework based on multiple feature spaces,
IET-IPR(9), No. 4, 2015, pp. 271-279.
DOI Link 1505
evolutionary computation BibRef

Liu, F.[Fayao], Lin, G.S.[Guo-Sheng], Shen, C.H.[Chun-Hua],
CRF learning with CNN features for image segmentation,
PR(48), No. 10, 2015, pp. 2983-2992.
Elsevier DOI 1507
Conditional random field (CRF) BibRef

Karmakar, S.[Supriya], Gogna, M.[Mukesh], Jain, F.C.[Faquir C.],
Application of quantum dot gate nonvolatile memory (QDNVM) in image segmentation,
SIViP(10), No. 3, March 2016, pp. 551-558.
WWW Link. 1602
BibRef

Wang, J., Huang, W.,
Image Segmentation With Eigenfunctions of an Anisotropic Diffusion Operator,
IP(25), No. 5, May 2016, pp. 2155-2167.
IEEE DOI 1604
eigenvalues and eigenfunctions BibRef

Li, F.[Fang], Qin, J.[Jing],
Robust fuzzy local information and -norm distance-based image segmentation method,
IET-IPR(11), No. 4, April 2017, pp. 217-226.
DOI Link 1704
BibRef

Takayama, N.[Natsuki], Takahashi, H.[Hiroki],
Blur Map Generation Based on Local Natural Image Statistics for Partial Blur Segmentation,
IEICE(E100-D), No. 12, December 2017, pp. 2984-2992.
WWW Link. 1712
ANGHS (Amplitude-Normalized Gradient Histogram Span) as a local blur feature. BibRef

Zhou, Y., Do, T.T., Zheng, H., Cheung, N.M., Fang, L.,
Computation and Memory Efficient Image Segmentation,
CirSysVideo(28), No. 1, January 2018, pp. 46-61.
IEEE DOI 1801
Algorithm design and analysis, Image segmentation, Memory management, Mobile communication, Shape, segmentation BibRef

Li, M.F.[Meng-Fei], Gao, H.[Hong], Zuo, F.F.[Fei-Fei], Li, H.W.[Hong-Wei],
A Continuous Random Walk Model With Explicit Coherence Regularization for Image Segmentation,
IP(28), No. 4, April 2019, pp. 1759-1772.
IEEE DOI 1901
convergence of numerical methods, image segmentation, iterative methods, random processes, Peaceman-Rachford scheme BibRef

Shepherd, J.D.[James D.], Bunting, P.[Pete], Dymond, J.R.[John R.],
Operational Large-Scale Segmentation of Imagery Based on Iterative Elimination,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Kumar, B.V.R.[B.V. Rathish], Halim, A.[Abdul], Vijayakrishna, R.[Rowthu],
Higher order PDE based model for segmenting noisy image,
IET-IPR(14), No. 11, September 2020, pp. 2597-2609.
DOI Link 2009
BibRef

Jayaraman, K.[Kumaran], Srilakshmi, K.[Koganti], Jayaraman, S.[Sasikala],
Modified Flower Pollination-based Segmentation of Medical Images,
IJIG(22), No. 2, April 2022, pp. 2250026.
DOI Link 2205
multilevel segmentation of medical images. BibRef

Xie, E.Z.[En-Ze], Wang, W.J.[Wen-Jia], Wang, W.H.[Wen-Hai], Ding, M.Y.[Ming-Yu], Shen, C.H.[Chun-Hua], Luo, P.[Ping],
Segmenting Transparent Objects in the Wild,
ECCV20(XIII:696-711).
Springer DOI 2011
BibRef

Sahbi, H.,
Structured Scene Decoding with Finite State Machines,
ICIP18(485-489)
IEEE DOI 1809
Labeling, Visualization, Lattices, Image segmentation, Stochastic processes, Feature extraction, Decoding, scene parsing BibRef

Zhao, Q.Y.[Qi-Yang],
Segmenting natural images with the least effort as humans,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Krahenbuhl, P.[Philipp], Koltun, V.[Vladlen],
Learning to propose objects,
CVPR15(1574-1582)
IEEE DOI 1510
Ensemble of figure-ground models. Segmentation. BibRef

Rupprecht, C.[Christian], Peter, L.[Loic], Navab, N.[Nassir],
Image segmentation in Twenty Questions,
CVPR15(3314-3322)
IEEE DOI 1510
BibRef

Pan, H.[Hong], Lang, J.[Jochen],
Improving Segmentation Boundaries with Nonparametric Image Parsing,
CRV15(328-335)
IEEE DOI 1507
Context BibRef

Mozdren, K., Sojka, E., Surkala, M., Fusek, R.,
Affiliation possibility map filtering for image segmentation improvement,
IPTA14(1-6)
IEEE DOI 1503
computer vision. Removing over segmentation, too much detail, small or thin segments. BibRef

Liu, S.W.[Si-Wei], Galland, F.[Frederic], Bertaux, N.[Nicolas],
Nonparametric MDL segmentation of inhomogeneous images based on Quadratic Local Binary Fitting,
ICIP14(6071-6075)
IEEE DOI 1502
Active contours BibRef

Desrosiers, C.[Christian],
A Fast and Adaptive Random Walks Approach for the Unsupervised Segmentation of Natural Images,
ICPR14(130-135)
IEEE DOI 1412
Accuracy BibRef

Vu, H.[Huyen], Olsson, R.[Roland],
Automatic Improvement of Graph Based Image Segmentation,
ISVC12(II: 578-587).
Springer DOI 1209
BibRef

Yang, H.Z.[Hong-Zhe], Yang, J.[Jian], Wang, Y.T.[Yong-Tian], Liu, Y.[Yue],
Segmentation Based on Routing Image Algorithms,
ICIG11(424-428).
IEEE DOI 1109
BibRef

Wang, Q.W.[Qi-Wei], Wan, S.H.[Shou-Hong], Yue, L.H.[Li-Hua],
A Novel Robust Algorithm for Image Segmentation,
ICIG11(238-243).
IEEE DOI 1109
BibRef

Yang, Y.Y.[Ying-Yun], Shi, D.X.[Dong-Xin], Sun, K.[Ke], Zhang, Q.[Qin],
A new approach to image sparse decomposition based on MP,
CIIP09(65-68).
IEEE DOI 0903
BibRef

Deng, J.[Juan],
A novel similarity-based approach for image segmentation,
IASP09(36-39).
IEEE DOI 0904
BibRef

Shepherd, T., Alexander, D.C.,
Supervised methods for perfect segmentation in medical images,
ICIP08(1460-1463).
IEEE DOI 0810
BibRef

Andreetto, M.[Marco], Zelnik-Manor, L.[Lihi], Perona, P.[Pietro],
Non-Parametric Probabilistic Image Segmentation,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Xie, S.S.[Shui-Sheng], Liu, J.D.[Jun-Dong], Berryman, D.[Darlene], List, E.[Edward], Smith, C.[Charles], Chebrolu, H.[Hima],
A Robust Image Segmentation Model Based on Integrated Square Estimation,
ISVC07(II: 643-651).
Springer DOI 0711
BibRef

Chen, D.T.[Da-Tong],
Modeling vs. Segmenting Images Using A Probabilistic Approach,
ICIP07(II: 277-280).
IEEE DOI 0709
BibRef

Adamek, T.[Tomasz], O'Connor, N.E.[Noel E.],
Using Dempster-Shafer Theory to Fuse Multiple Information Sources in Region-Based Segmentation,
ICIP07(II: 269-272).
IEEE DOI 0709
BibRef

Lee, S.C.[Sang-Chul], Moon, J.Y.[Jae-Young], Kim, J.K.[Jae-Kyeong], Suh, Y.H.[Yung-Ho],
Application of a Two-Level Self Organizing Map for Korean Online Game Market Segmentation,
SSPR06(808-816).
Springer DOI 0608
BibRef

Ruwwe, C.[Christian], Zölzer, U.[Udo],
GrayCut: Object Segmentation in IR-Images,
ISVC06(I: 702-711).
Springer DOI 0611
BibRef

Martin, V.[Vincent], Thonnat, M.[Monique],
Learning Contextual Variations for Video Segmentation,
CVS08(xx-yy).
Springer DOI 0805
BibRef

Martin, V.[Vincent], Thonnat, M.[Monique], Maillot, N.E.[Nicolas E.],
A Learning Approach for Adaptive Image Segmentation,
CVS06(40).
IEEE DOI 0602
BibRef

Aifanti, N., Delopoulos, A.,
Fuzzy-logic Based Information Fusion for Image Segmentation,
ICIP05(II: 1210-1213).
IEEE DOI 0512
Segmentation using multiple cues. BibRef

Kalinin, M., Raicu, D.S., Furst, J.D., Channin, D.S.,
A Classification Approach for Anatomical Regions Segmentation,
ICIP05(II: 1262-1265).
IEEE DOI 0512

See also Optimal Parameter Height Ridges. BibRef

Levine, S.E.[Stacey E.],
An Adaptive Variational Model for Image Decomposition,
EMMCVPR05(382-397).
Springer DOI 0601
BibRef

Zhang, Q.L.[Qi-Long], Pless, R.[Robert],
Segmenting Multiple Familiar Objects Under Mutual Occlusion,
ICIP06(197-200).
IEEE DOI 0610
BibRef

Zhang, Q.L.[Qi-Long], Souvenir, R.[Richard], Pless, R.[Robert],
Segmentation Informed by Manifold Learning,
EMMCVPR05(398-413).
Springer DOI 0601

See also Image distance functions for manifold learning. BibRef

Boccignone, G.[Giuseppe], Ferraro, M.[Mario], Napoletano, P.[Paolo],
A Variational Bayes Approach to Image Segmentation,
BVAI07(234-243).
Springer DOI 0710
BibRef

Boccignone, G., Caggiano, V., Napoletano, P., Ferraro, M.,
Image Segmentation via Multiresolution Diffused Expectation-Maximisation,
ICIP05(I: 289-292).
IEEE DOI 0512
BibRef

Rital, S.[Soufiane], Cherifi, H.[Hocine], Miguet, S.[Serge],
A Segmentation Algorithm for Noisy Images,
CAIP05(205).
Springer DOI 0509
BibRef

Martínez, P.[Pablo], Pinzolas, M.[Miguel], Coronado, J.L.[Juan López], García, D.[Daniel],
A Functional Simplification of the BCS/FCS Image Segmentation,
IbPRIA05(I:110).
Springer DOI 0509
BibRef

Singh, P.K.,
Segmentation of regions in jpeg compressed medical images,
ICIP04(V: 3483-3486).
IEEE DOI 0505
BibRef

McCallister, W.O.[William O.], Hung, C.C.[Chih-Cheng],
Image Segmentation Using Dynamic Run-Length Coding Technique,
SCIA03(343-348).
Springer DOI 0310
BibRef

Kim, J.[Junhwan], Zabih, R.,
A segmentation algorithm for contrast-enhanced images,
ICCV03(502-509).
IEEE DOI 0311
BibRef

Drot, S., Descombes, X., Le Men, H., Zerubia, J.B.,
Object point processes for image segmentation,
ICPR02(II: 913-916).
IEEE DOI 0211
BibRef

Chernyak, D.A.[Dimitri A.], Stark, L.W.[Lawrence W.],
Sequential Knowledge-Driven Scene Recognition Model,
CVPR01(II:382-387).
IEEE DOI 0110
Segment into objects based on human perception models of eye movements. BibRef

Ndili, U., Nowak, R.D., Figueiredo, M.A.T.,
Coding Theoretic Approach to Image Segmentation,
ICIP01(III: 78-81).
IEEE DOI 0108
BibRef

Pollak, I.,
ML Optimality of PDE-based Segmentation Algorithms,
ICIP01(II: 564).
IEEE DOI 0108
BibRef

López Rubio, E.[Ezequiel], Muñoz Pérez, J.[Jose], Gómez Ruiz, J.A.[Jose Antonio],
A Robust Two-stage System for Image Segmentation,
ICPR00(Vol I: 606-609).
IEEE DOI 0009
BibRef

Salembier, P., Garrido, L.,
Connected Operators Based on Region-tree Pruning Strategies,
ICPR00(Vol III: 367-370).
IEEE DOI 0009
Finding regions in space or time. BibRef

Marques, F.,
Partition-based Image Representation as Basis for User-assisted Segmentation,
ICIP00(Vol I: 312-315).
IEEE DOI 0008
BibRef

Signoroni, A., Zanetti, G., Grazioli, R., Leonardi, R.,
Watershed segmentation of medical volumes with paint drop marking,
ICIP10(2561-2564).
IEEE DOI 1009
BibRef

Signoroni, A.[Alberto], Leonardi, R.[Riccardo],
Two-way interactive refinement of segmented medical volumes,
CIAP07(697-704).
IEEE DOI 0709
BibRef

Benini, S., Boniotti, E., Leonardi, R.[Riccardo], Signoroni, A.[Alberto],
Interactive Segmentation of Biomedical Images and Volumes Using Connected Operators,
ICIP00(Vol III: 452-455).
IEEE DOI 0008
BibRef

Ikeda, O.,
Real-time Interactive Object Outlining Using Control Points and Smoothness Parameter Manipulation,
ICIP00(Vol I: 784-787).
IEEE DOI 0008
BibRef

Reyna, R., Hernandez, N., Esteve, D.,
Segmenting Images with Support Vector Machines,
ICIP00(Vol I: 820-823).
IEEE DOI 0008
BibRef

Sinclair, D.A.,
Smooth Region Structure: Folds, Domes, Bowls, Ridges, Valleys, and Slopes,
CVPR00(I: 389-394).
IEEE DOI 0005
BibRef

Shim, J.C.[Jae-Chang], Dorai, C.[Chitra],
A Generalized Region Labeling Algorithm for Image Coding, Restoration, and Segmentation,
ICIP99(I:46-50).
IEEE DOI BibRef 9900

Bellando, J., Kothari, R.,
Region-based modeling and tree edit distance as a basis for gesture recognition,
CIAP99(698-703).
IEEE DOI 9909
BibRef

Dias, A.V., Picanco-Diniz, C.W., Gorcon, S.,
Segmentation of Neurons Using Mathematical Morphology,
MVA98(xx-yy). BibRef 9800

Gang, H.Z.[Hu Zhi], Wei, D.R.[Dai Ru], Ying, Z.[Zhuge], Ning, L.[Liu], Jie, T.[Tian],
An Interactive Image Segmentation Method Based on Dynamic Programming and its Application in Medical Image Analysis,
ICPR98(Vol II: 1558-1560).
IEEE DOI 9808
BibRef

Visa, A.[Ari],
A Genetic Algorithm Based Method to Improve Image Segmentation,
ICPR98(Vol II: 1015-1017).
IEEE DOI 9808
BibRef
Earlier:
Unsupervised image segmentation based on a self-organizing feature map and a texture measure,
ICPR92(III:101-104).
IEEE DOI 9208
BibRef
Earlier:
Identification of stochastic textures with multiresolution features and self-organizing maps,
ICPR90(I: 518-522).
IEEE DOI 9006
BibRef

Williams, P.[Paul], Alder, M.D.[Michael D.],
Segmentation of Natural Images for CBIR,
ICPR98(Vol I: 468-470).
IEEE DOI 9808
BibRef

Nguyen, P., Guan, L.[Ling], Levialdi, S., Cinque, L.[Luigi], Romagnoli, R.,
Self-Organizing Map for Segmenting 3D Biological Images,
ICPR98(Vol I: 471-473).
IEEE DOI 9808
BibRef

Wang, J.K.[Jian-Kang], Li, X.B.[Xiao-Bo],
A System for Segmenting Ultrasound Images,
ICPR98(Vol I: 456-461).
IEEE DOI 9808
BibRef

Yu, M., Eua-Anant, N., Saudagar, A., Udpa, L.,
Genetic algorithm approach to image segmentation using morphological operations,
ICIP98(III: 775-779).
IEEE DOI 9810
BibRef

Kaufhold, J., Schneider, M.K., Karl, W.C., and Willsky, A.S.,
A Recursive Estimation Approach to the Segmentation of MR Imagery,
ICIP97(II: 506-509).
IEEE DOI BibRef 9700

Lin, J.S., Chen, R.M., and Huang, Y.M.,
Medical Image Segmentation Using Mean Field Annealing Network,
ICIP97(II: 855-858).
IEEE DOI BibRef 9700

Ranjan, U., and Satyaranjan, M.,
A Stochastic Dynamical System for Image Segmentation,
ICIP97(II: 859-862).
IEEE DOI BibRef 9700

Kalitzin, S.N., ter Haar Romeny, B.M., and Viergever, M.A.,
On Topological Deep-Structure Segmentation,
ICIP97(II: 863-866).
IEEE DOI BibRef 9700

Ramos, M., Hemami, S.S., and Tamburro, M.,
Psychovisually Based Multiresolution Image Segmentation,
ICIP97(III: 66-69).
IEEE DOI BibRef 9700

Niimi, M., Noda, H., and Kawaguchi, E.,
An Image Embedding in Image by a Complexity Based Region Segmentation Method,
ICIP97(III: 74-77).
IEEE DOI BibRef 9700

Campbell, N.W., Thomas, B.T., and Troscianko, T.,
Segmentation of Natural Images Using Self-Organising Feature Maps,
BMVC96(Poster Session 1). 9608
University of Bristol BibRef

Succi, A.[Antonio], Torre, V.[Vincent],
A new approach to image segmentation,
CIAP95(17-22).
Springer DOI 9509
BibRef

Cai, X.[Xin], Kelly, P.A., Gong, W.B.[Wei-Bo],
Digital diffusion network for image segmentation,
ICIP95(III: 73-76).
IEEE DOI 9510
BibRef

Dobrzeniecki, A.B., Levitt, N.D.,
Interactive and intuitive segmentation of volumetric data: The segmentVIEW system and the Kooshball algorithm,
ICIP95(III: 540-543).
IEEE DOI 9510
BibRef

Cagnoni, S., Dobrzeniecki, A.B., Yanch, J.C., Poli, R.,
Interactive segmentation of multi-dimensional medical data with contour-based application of genetic algorithms,
ICIP94(III: 498-502).
IEEE DOI 9411
BibRef

Li, X.Q., Zhao, Z.W., Cheng, H.D., Huang, C.M., Harris, R.W.,
A fuzzy logic approach to image segmentation,
ICPR94(A:337-341).
IEEE DOI 9410
BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Color Applied to Segmentation .