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 .