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Local picture property; texture coarseness; nonmaxima suppressed!!
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Segmentation by Texture Using a Split-and-Merge Algorithm,
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Texture Segmentation Using Voronoi Polygons,
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9002
Earlier:
Add A3:
Lee, Y.,
CVPR88(94-99).
IEEE DOI
BibRef
Raja, N.S.,
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Jain, A.K.,
Texture segmentation on two high-performance computers,
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9208
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Supervised Textured Image Segmentation Using Feature Smoothing and
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Unsupervised Textured Image Segmentation Using Feature
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Elsevier DOI
Segmentation, Region Growing. Find texturally homogeneous core regions, and grow (classify) to
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IEEE DOI
9608
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Texture Segmentation by Minimizing Vector-Valued Energy
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Feature Selection for Texture Segmentation,
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9600
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2D phase-independent local features for texture segmentation,
ICIP95(III: 640-643).
IEEE DOI
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9607
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9607
Bayes Nets.
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And: A1, A2, Only:
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9808
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Earlier: A2, A1, A3:
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ICIP97(I: 235-238).
IEEE DOI
9710
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Elsevier DOI
9710
Consider a range of possible partitions.
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Earlier: A1, A3, A2:
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IEEE DOI
9608
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9903
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CIAP97(I: 311-318).
Springer DOI
9709
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And:
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WWW Link. A split-and-merge scheme gives coarse segmentation and initial
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Combining local and global correlation for texture description,
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1311
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0910
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Earlier:
Unsupervised dynamic texture segmentation using local spatiotemporal
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0812
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Texture segmentation by frequency-sensitive elliptical competitive
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0108
BibRef
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CIAP99(64-69).
IEEE DOI
9909
BibRef
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Self-supervised texture segmentation using complementary types of
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0108
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Earlier: A1, Only:
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Analysis of Irregularly Shaped Texture Regions,
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0203
BibRef
Earlier:
Analysis of Irregularly Shaped Texture Regions: a Comparative Study,
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Dwivedi, R.S.,
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Path Based Pairwise Data Clustering with Application to Texture
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0205
BibRef
Earlier:
Perceptual Grouping by Path Based Clustering,
PercOrg01(xx-yy).
0106
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Fischer, B.[Bernd],
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Data Resampling for Path Based Clustering,
DAGM02(206 ff.).
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0303
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Nonparametric Bayesian Image Segmentation,
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0803
BibRef
Earlier:
Smooth Image Segmentation by Nonparametric Bayesian Inference,
ECCV06(I: 444-457).
Springer DOI
0608
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Karmakar, G.C.[Gour C.],
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0205
BibRef
Earlier:
Extended Fuzzy Rules for Image Segmentation,
ICIP01(III: 1099-1102).
IEEE DOI
0108
BibRef
Ali, M.A.,
Karmakar, G.C.,
Dooley, L.S.,
Fuzzy Image Segmentation of Generic Shaped Clusters,
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0512
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A fuzzy rule-based colour image segmentation algorithm,
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0312
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0506
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Reyes-Aldasoro, C.C.,
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Elsevier DOI Feature selection; Bhattacharyya distance/space; Texture segmentation
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Learning Outdoor Color Classification,
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0609
BibRef
Earlier:
Learning Outdoor Color Classification from Just One Training Image,
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Springer DOI
0405
Color Constancy.
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Manduchi, R.[Roberto],
Mixture Models and the Segmentation of Multimodal Textures,
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BibRef
Earlier:
A Cluster Grouping Technique for Texture Segmentation,
ICPR00(Vol III: 1060-1063).
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Kampel, M.[Martin],
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Rule based system for archaeological pottery classification,
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BibRef
Earlier:
Automated segmentation of archaeological profiles for classification,
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IEEE DOI
0211
BibRef
Archaeological ceramics; Typology and classification; Curvature analysis; 3D acquisition
Epifanio, I.[Irene],
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Li, N.,
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1003
Digital archiving; Porcelain; Texture feature; Coarseness; Contrast;
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Pustelnik, N.,
Proximal Algorithms for Multicomponent Image Recovery Problems,
JMIV(41), No. 1-2, September 2011, pp. 3-22.
WWW Link.
1108
BibRef
Earlier:
Proximal method for geometry and texture image decomposition,
ICIP10(2721-2724).
IEEE DOI
1009
See also Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization.
BibRef
Wang, L.F.[Ling-Feng],
Wu, H.Y.[Huai-Yu],
Pan, C.H.[Chun-Hong],
Region-based image segmentation with local signed difference energy,
PRL(34), No. 6, 15 April 2013, pp. 637-645.
Elsevier DOI
1303
Image segmentation; Level set; Local signed difference; Local
separability; Global consistency
BibRef
Wang, L.F.[Ling-Feng],
Yu, Z.Y.[Ze-Yun],
Pan, C.H.[Chun-Hong],
Medical Image Segmentation Based on Novel Local Order Energy,
ACCV10(II: 148-159).
Springer DOI
1011
BibRef
Wang, L.F.[Ling-Feng],
Pan, C.H.[Chun-Hong],
Robust level set image segmentation via a local correntropy-based
K-means clustering,
PR(47), No. 5, 2014, pp. 1917-1925.
Elsevier DOI
1402
Image segmentation
BibRef
Su, Z.[Zhuo],
Luo, X.N.[Xiao-Nan],
Artusi, A.[Alessandro],
A novel image decomposition approach and its applications,
VC(29), No. 10, October 2013, pp. 1011-1023.
Springer DOI
1310
Explicit use of texture.
BibRef
Yuan, J.Y.[Jiang-Ye],
Wang, D.L.[De-Liang],
Li, R.X.[Rong-Xing],
Remote Sensing Image Segmentation by Combining Spectral and Texture
Features,
GeoRS(52), No. 1, January 2014, pp. 16-24.
IEEE DOI
1402
feature extraction
BibRef
Yuan, J.Y.[Jiang-Ye],
Wang, D.L.[De-Liang],
Cheriyadat, A.M.,
Factorization-Based Texture Segmentation,
IP(24), No. 11, November 2015, pp. 3488-3497.
IEEE DOI
1509
feature extraction
BibRef
Awate, S.P.[Suyash P.],
Whitaker, R.T.[Ross T.],
Multiatlas Segmentation as Nonparametric Regression,
MedImg(33), No. 9, September 2014, pp. 1803-1817.
IEEE DOI
1410
convergence
BibRef
Awate, S.P.[Suyash P.],
Zhu, P.[Peihong],
Whitaker, R.T.[Ross T.],
How Many Templates Does It Take for a Good Segmentation?: Error
Analysis in Multiatlas Segmentation as a Function of Database Size,
MBIA12(103-114).
Springer DOI
1210
BibRef
Awate, S.P.[Suyash P.],
Tasdizen, T.[Tolga],
Whitaker, R.T.[Ross T.],
Unsupervised Texture Segmentation with Nonparametric Neighborhood
Statistics,
ECCV06(II: 494-507).
Springer DOI
0608
BibRef
Byeon, W.M.[Won-Min],
Liwicki, M.[Marcus],
Breuel, T.M.[Thomas M.],
Scene analysis by mid-level attribute learning using 2D LSTM networks
and an application to web-image tagging,
PRL(63), No. 1, 2015, pp. 23-29.
Elsevier DOI
1508
BibRef
Earlier:
Texture Classification Using 2D LSTM Networks,
ICPR14(1144-1149)
IEEE DOI
1412
BibRef
And: A1, A3, Only:
Supervised texture segmentation using 2D LSTM networks,
ICIP14(4373-4377)
IEEE DOI
1502
Recurrent neural network.
Long short term memory (LSTM) recurrent neural network.
Accuracy
BibRef
Byeon, W.[Wonmin],
Breuel, T.M.[Thomas M.],
Raue, F.[Federico],
Liwicki, M.[Marcus],
Scene labeling with LSTM recurrent neural networks,
CVPR15(3547-3555)
IEEE DOI
1510
BibRef
Medeiros, R.S.,
Scharcanski, J.,
Wong, A.,
Image segmentation via multi-scale stochastic regional texture
appearance models,
CVIU(142), No. 1, 2016, pp. 23-36.
Elsevier DOI
1512
Image segmentation
BibRef
Medeiros, R.S.,
Wong, A.,
Scharcanski, J.,
Scalable image segmentation via decoupled sub-graph compression,
PR(78), 2018, pp. 228-241.
Elsevier DOI
1804
Segmentation, Graph compression, Decoupling, Scalability
BibRef
Nobre, R.H.[Ricardo H.],
Rodrigues, F.A.A.[Francisco A.A.],
Marques, R.C.P.[Regis C. P.],
Nobre, J.S.[Juvêncio S.],
Neto, J.F.S.R.[Jeová F.S.R.],
Medeiros, F.N.S.[Fátima N.S.],
SAR Image Segmentation With Renyi's Entropy,
SPLetters(23), No. 11, November 2016, pp. 1551-1555.
IEEE DOI
1609
entropy
BibRef
Wang, Q.[Qi],
Spratling, M.W.,
A simplified texture gradient method for improved image segmentation,
SIViP(10), No. 4, April 2016, pp. 679-686.
WWW Link.
1604
BibRef
Wang, Z.Z.[Zhen-Zhou],
A New Approach for Robust Segmentation of the Noisy or Textured
Images,
SIIMS(9), No. 3, 2016, pp. 1409-1436.
DOI Link
1610
BibRef
Kiechle, M.,
Storath, M.,
Weinmann, A.,
Kleinsteuber, M.,
Model-Based Learning of Local Image Features for Unsupervised Texture
Segmentation,
IP(27), No. 4, April 2018, pp. 1994-2007.
IEEE DOI
1802
feature extraction, image segmentation, image texture,
learning (artificial intelligence),
unsupervised learning
BibRef
Quan, Y.,
Teng, H.,
Liu, T.,
Huang, Y.,
Weakly-Supervised Sparse Coding With Geometric Prior for Interactive
Texture Segmentation,
SPLetters(27), 2020, pp. 116-120.
IEEE DOI
2001
Texture segmentation, sparse coding, weakly-supervised learning,
geometric constraints
BibRef
Briceño-Arias, L.M.,
Pustelnik, N.,
Convergence Rate Comparison of Proximal Algorithms for Non-Smooth
Convex Optimization With an Application to Texture Segmentation,
SPLetters(29), 2022, pp. 1337-1341.
IEEE DOI
2206
Convergence, Signal processing algorithms, Task analysis,
Optimization, Linear programming, Fractals, Convex functions,
texture segmentation
BibRef
Mikeš, S.[Stanislav],
Haindl, M.[Michal],
Texture Segmentation Benchmark,
PAMI(44), No. 9, September 2022, pp. 5647-5663.
IEEE DOI
2208
Image segmentation, Benchmark testing, Heuristic algorithms,
Image color analysis, Satellites, Lighting, Time measurement,
rotation and illumination invariants
BibRef
Yamada, R.,
Ide, H.,
Yudistira, N.,
Kurita, T.,
Texture Segmentation using Siamese Network and Hierarchical Region
Merging,
ICPR18(2735-2740)
IEEE DOI
1812
Feature extraction, Image segmentation, Merging,
Clustering algorithms, Training, Neural networks, Convolution
BibRef
Pascal, B.,
Pustelnik, N.,
Abry, P.,
Serres, M.,
Vidal, V.,
Joint Estimation of Local Variance and Local Regularity for Texture
Segmentation. Application to Multiphase Flow Characterization,
ICIP18(2092-2096)
IEEE DOI
1809
Estimation, Signal to noise ratio, TV, Image segmentation,
Linear regression, Minimization, Optimization, Total Variation,
Multiphase flow
BibRef
Gao, M.Q.[Ming-Qi],
Chen, H.X.[Heng-Xin],
Zheng, S.H.[Shen-Hai],
Fang, B.[Bin],
Zhang, L.[Lin],
Texture Image Segmentation Using Fused Features and Active Contour,
ICPR16(2036-2041)
IEEE DOI
1705
Active contours, Computational modeling, Feature extraction,
Histograms, Image segmentation, Lighting, Robustness
BibRef
Anibou, C.,
Saidi, M.N.,
Aboutajdine, D.[Driss],
Textured image segmentation via scattering transform and score fusion,
ISIVC16(24-28)
IEEE DOI
1704
Convolution
BibRef
Zohrizadeh, F.[Fariba],
Kheirandishfard, M.[Mohsen],
Kamangar, F.[Farhad],
Image Segmentation Using Sparse Subset Selection,
WACV18(1470-1479)
IEEE DOI
1806
approximation theory, estimation theory, image segmentation,
iterative methods, optimisation, ADMM iterations,
Visualization
BibRef
Zohrizadeh, F.[Fariba],
Kheirandishfard, M.[Mohsen],
Ghasedidizaji, K.[Kamran],
Kamangar, F.[Farhad],
Reliability-Based Local Features Aggregation for Image Segmentation,
ISVC16(I: 193-202).
Springer DOI
1701
BibRef
Liang, X.D.[Xiao-Dan],
Shen, X.H.[Xiao-Hui],
Xiang, D.,
Feng, J.S.[Jia-Shi],
Lin, L.[Liang],
Yan, S.C.[Shui-Cheng],
Semantic Object Parsing with Local-Global Long Short-Term Memory,
CVPR16(3185-3193)
IEEE DOI
1612
BibRef
And: A1, A2, A4, A5, A6, Only:
Semantic Object Parsing with Graph LSTM,
ECCV16(I: 125-143).
Springer DOI
1611
BibRef
Li, Z.[Zhen],
Gan, Y.[Yukang],
Liang, X.D.[Xiao-Dan],
Yu, Y.Z.[Yi-Zhou],
Cheng, H.[Hui],
Lin, L.[Liang],
LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D
Scene Labeling,
ECCV16(II: 541-557).
Springer DOI
1611
Long Short-Term Memorized Context Fusion.
BibRef
Salhi, K.,
Jaara, E.M.,
Alaoui, M.T.,
Pretreatment Approaches for Texture Image Segmentation,
CGiV16(221-225)
IEEE DOI
1608
feature extraction
BibRef
Jeulin, D.[Dominique],
Probabilistic Hierarchical Morphological Segmentation of Textures,
ISMM15(313-324).
Springer DOI
1506
BibRef
Bull, G.,
Gao, J.B.[Jun-Bin],
Antolovich, M.[Michael],
Image Segmentation Using Dictionary Learning and Compressed Random
Features,
DICTA14(1-8)
IEEE DOI
1502
compressed sensing
BibRef
Hsu, C.Y.[Chih-Yu],
Hsieh, Y.Y.[Yi-Yu],
Lo, K.H.[Kuo-Hua],
Chuang, J.H.[Jen-Hui],
Incorporating texture information into region-based unsupervised
image segmentation using textural superpixels,
ICIP14(4323-4327)
IEEE DOI
1502
Benchmark testing
BibRef
Tian, H.Y.[Hai-Ying],
Liu, Y.F.[Yan-Fei],
Lai, J.H.[Jian-Huang],
A Histogram-Based Chan-Vese Model Driven by Local Contrast Pattern
for Texture Image Segmentation,
ICPR14(954-959)
IEEE DOI
1412
Feature extraction
BibRef
Skretting, K.[Karl],
Engan, K.[Kjersti],
Energy Minimization by TeX-Erosion for Supervised Texture Segmentation,
ICIAR14(I: 207-214).
Springer DOI
1410
BibRef
Syed, A.H.,
Saber, E.[Eli],
Messinger, D.[David],
Discrete Topology Based Hierarchical Segmentation for Efficient
Object-Based Image Analyis: Application to Object Detection in High
Resolution Satellite Images,
Hannover13(339-344).
DOI Link
1308
Merge to region based analysis.
BibRef
Vantaram, S.R.[Sreenath Rao],
Saber, E.[Eli],
Messinger, D.[David],
An intensity-gradient-texture guided methodology for spatial
segmentation of remotely sensed multi/hyperspectral imagery,
ICIP11(2885-2888).
IEEE DOI
1201
BibRef
Xia, G.S.[Gui-Song],
Yuan, F.[Fei],
Texture Segmentation by Grouping Ellipse Ensembles via Active Contours,
BMVC11(xx-yy).
HTML Version.
1110
BibRef
lo Presti, L.[Liliana],
La Cascia, M.[Marco],
Entropy-Based Localization of Textured Regions,
CIAP11(I: 616-625).
Springer DOI
1109
BibRef
Wang, Y.Q.[Yuan-Quan],
Xiong, Y.[Yue],
Lv, L.P.[Li-Ping],
Zhang, H.[Hua],
Cao, Z.L.[Zuo-Liang],
Zhang, D.[Degan],
Vector-valued Chan-Vese model driven by local histogram for texture
segmentation,
ICIP10(645-648).
IEEE DOI
1009
BibRef
He, W.[Wenda],
Zwiggelaar, R.[Reyer],
Image classification: A novel texture signature approach,
ICIP10(2725-2728).
IEEE DOI
1009
BibRef
Guney, M.[Mesut],
Arica, N.[Nafiz],
Maximally Stable Texture Regions,
ICPR10(4549-4552).
IEEE DOI
1008
BibRef
Li, F.[Fang],
Liu, R.H.[Rui-Hua],
Shen, C.M.[Chao-Min],
Feature extraction and soft segmentation of texture images,
IASP10(367-370).
IEEE DOI
1004
BibRef
Ding, J.D.[Jun-Di],
Shen, J.L.[Jia-Lie],
Pang, H.H.[Hwee-Hwa],
Chen, S.C.[Song-Can],
Yang, J.Y.[Jing-Yu],
Exploiting Intensity Inhomogeneity to Extract Textured Objects from
Natural Scenes,
ACCV09(III: 1-10).
Springer DOI
0909
BibRef
Samanta, S.[Suranjana],
Das, S.[Sukhendu],
A Fast Supervised Method of Feature Ranking and Selection for Pattern
Classification,
PReMI09(80-85).
Springer DOI
0912
BibRef
Samanta, S.[Suranjana],
Das, S.[Sukhendu],
Domain Adaptation Based on Eigen-Analysis and Clustering, for Object
Categorization,
CAIP13(245-253).
Springer DOI
1308
BibRef
Samanta, S.[Suranjana],
Das, S.[Sukhendu],
Unsupervised domain adaptation using manifold alignment for object
and event categorization,
ICIP14(2739-2743)
IEEE DOI
1502
BibRef
And:
Unsupervised texture segmentation using feature selection and fusion,
ICIP09(2197-2200).
IEEE DOI
0911
Accuracy
BibRef
Dahl, A.B.[Anders Bjorholm],
Bogunovich, P.[Peter],
Shokoufandeh, A.[Ali],
Texture Segmentation by Contractive Decomposition and Planar Grouping,
GbRPR09(343-352).
Springer DOI
0905
BibRef
Azzabou, N.[Noura],
Paragios, N.[Nikos],
Guichard, F.[Frédéric],
Uniform and Textured Regions Separation in Natural Images Towards MPM
Adaptive Denoising,
SSVM07(418-429).
Springer DOI
0705
BibRef
Bak, E.S.[Eun-Sang],
Spatial Discriminant Function with Minimum Error Rate for Image
Segmentation,
ICIAR04(I: 49-56).
Springer DOI
0409
BibRef
Fauzi, M.F.A.,
Lewis, P.H.,
A Fully Unsupervised Texture Segmentation Algorithm,
BMVC03(xx-yy).
HTML Version.
0409
BibRef
Paclik, P.,
Duin, R.P.W.,
van Kempen, G.M.P.,
Kohlus, R.,
Supervised segmentation of textures in backscatter images,
ICPR02(II: 490-493).
IEEE DOI
PDF File.
0211
See also Segmentation of multi-spectral images using the combined classifier approach.
BibRef
Okombi-Diba, B.R.,
Miyamichi, J.,
Shoji, K.,
Segmentation of spatially variant image textures,
ICPR02(II: 917-920).
IEEE DOI
0211
BibRef
Gimel'farb, G.L.[Georgy L.],
Supervised Texture Segmentation by Maximising Conditional Likelihood,
EMMCVPR01(169-184).
Springer DOI
0205
BibRef
Ranguelova, E.,
Quinn, A.,
Difference Field Estimation for Enhanced 3-D Texture Segmentation,
BMVC02(Poster Session).
0208
BibRef
Celenk, M.,
Zhou, Q.A.[Qi-Ang],
Chelberg, D.,
Equal-intensity map texture modeling for natural scene segmentation,
Southwest02(219-223).
IEEE Top Reference.
0208
BibRef
Kalitzin, S.N.,
Image Segmentation and Object Recognition by Bayesian Grouping,
ICIP00(Vol III: 580-583).
IEEE DOI
0008
BibRef
Uchiyama, T.[Toshio],
Mukawa, N.[Naoki],
Kaneko, H.[Hiroshi],
Estimation of Homogeneous Regions for Segmentation of Textured Images,
ICPR00(Vol III: 1072-1075).
IEEE DOI
0009
BibRef
Ruiz-del-Solar, J.,
Kottow, D.,
Neural-based Architectures for the Segmentation of Textures,
ICPR00(Vol III: 1080-1083).
IEEE DOI
0009
BibRef
Chanyagorn, P.,
Eom, K.,
Texture Segmentation Using Moving Average Modeling Approach,
ICIP00(Vol II: 116-119).
IEEE DOI
0008
BibRef
de Ridder, D.[Dick],
Kittler, J.V.,
Lemmers, O.[Olaf],
Duin, R.P.W.[Robert P.W.],
The Adaptive Subspace Map for Texture Segmentation,
ICPR00(Vol I: 216-220).
IEEE DOI
0009
BibRef
de Ridder, D.,
Kittler, J.V.,
Duin, R.P.W.,
Probabilistic PCA and ICA Subspace Mixture Models for Image
Segmentation,
BMVC00(xx-yy).
PDF File.
0009
BibRef
Rosenholtz, R.,
Significantly Different Textures: A Computational Model of
Pre-Attentive Texture Segmentation,
ECCV00(II: 197-211).
Springer DOI
0003
BibRef
Rackey, J.,
Pandit, M.,
Automatic Generation of Morphological Opening-Closing Sequences for
Texture Segmentation,
ICIP99(III:217-221).
IEEE DOI
BibRef
9900
Meier, T.[Thomas],
Ngan, K.N.[King N.],
A Flexible Bayesian Framework for Image Segmentation,
ICIP99(III:203-207).
IEEE DOI
BibRef
9900
Earlier:
Video object plane segmentation using a morphological motion filter and
Hausdorff object tracking,
ICIP98(II: 652-656).
IEEE DOI
9810
BibRef
di Ruberto, C.,
Rodriguez, G.,
Vitulano, S.,
Image segmentation by texture analysis,
CIAP99(376-381).
IEEE DOI
9909
BibRef
Cruz, C.A.[Carlos A.],
Unsupervised Texture Segmentation Using Stochastic Version
of the EM Algorithm and Data Fusion,
ICPR98(Vol II: 1005-1009).
IEEE DOI
9808
BibRef
Gimel'farb, G.L.[Georgy L.],
Supervised Segmentation by Pairwise Interactions:
Do Gibbs Models Learn What We Expect?,
ICPR98(Vol I: 817-819).
IEEE DOI
9808
BibRef
Smith, G.[Guy],
Longstaff, I.D.[I. Dennis],
Texture Segmentation Using Zero Crossings Information,
ICPR98(Vol I: 262-264).
IEEE DOI
9808
BibRef
You, J.,
Hungenahally, S., and
Sattar, A.,
Fractional Discrimination for Texture Image Segmentation,
ICIP97(I: 220-223).
IEEE DOI
BibRef
9700
Schwartz, O.,
Quinn, A.[Anthony],
Fast and Accurate Texture Based Image Segmentation,
ICIP96(III: 121-124).
IEEE DOI
BibRef
9600
Martinez Perez, M.E.[Maria-Elena],
Garza Jinich, M.,
Unsupervised Segmentation Based on Robust Estimation and
Cooccurrence Data,
ICIP96(III: 943-945).
IEEE DOI
BibRef
9600
Kacker, D.[Dhiraj],
Bamberger, R.H.,
Flynn, P.J.,
New Subband Geometries for Image Texture Segmentation,
ICIP96(III: 971-974).
IEEE DOI
BibRef
9600
Grau, A.[Antoni],
Saludes, J.[Jordi],
Improved textured images segmentation using an energy functional,
CIAP97(I: 70-78).
Springer DOI
9709
BibRef
Casals, A.,
Amat, J.,
Grau, A.,
Texture Parametrization Method For Image Segmentation,
ECCV92(160-164).
Springer DOI
BibRef
9200
Landraud, A.M.[Anne M.],
Yum, S.O.[Suk Oh],
Texture segmentation using local phase differences in Gabor filtered
images,
CIAP95(447-452).
Springer DOI
9509
BibRef
Wendling, L.[Laurent],
Desachy, J.[Jacky],
Paries, A.[Alain],
Pattern recognition from compressed labelled trees of fuzzy regions,
CIAP97(I: 174-181).
Springer DOI
9709
BibRef
Wendling, L.,
Zehana, M.,
Desachy, J.,
Fuzzy segmentation and structural knowledge for satellite image
analysis,
CIAP95(703-708).
Springer DOI
9509
BibRef
Dhérété, P.[Pierre],
Wendling, L.[Laurent],
Desachy, J.[Jacky],
Fuzzy segmentation and astronomical images interpretation,
CIAP95(281-286).
Springer DOI
9509
BibRef
Ducksbury, P.G.,
Parallel Texture Region Segmentation using a Pearl Bayes Network,
BMVC93(xx-yy).
PDF File.
9309
BibRef
Desachy, J.,
A Knowledge-Based System for Satellite Image Interpretation,
ICPR92(I:198-201).
IEEE DOI
BibRef
9200
Berthod, M.[Marc],
Giraudon, G.[Gérard],
Stromboni, J.P.[Jean Paul],
Deterministic pseudo-annealing: Optimization in Markov-Random-Fields an
application to pixel classification,
ECCV92(67-71).
Springer DOI
9205
BibRef
Berthod, M.[Marc],
Liu-Yu, S.,
Stromboni, J.P.[Jean Paul],
Deterministic pseudo-annealing: a new optimization scheme applied to
texture segmentation,
ICPR92(II:533-536).
IEEE DOI
9208
BibRef
Booth, D.M.,
Mayhew, J.E.W.,
Pidcock, M.J.C.,
The Amplification of Textural Differences,
BMVC91(xx-yy).
PDF File.
9109
BibRef
Grunes, A.,
Sherlock, J.F.,
Texture segmentation for defining driveable regions,
BMVC90(xx-yy).
PDF File.
9009
BibRef
Perry, A.,
Lowe, D.G.,
Segmentation of Textured Images,
CVPR89(319-325).
IEEE DOI
BibRef
8900
Kube, P.,
Polynomial Shift-Invariant Operators for Texture Segmentation,
CVPR88(100-104).
IEEE DOI
BibRef
8800
Gagalowicz, A.,
Graffigne, C.,
Blind Texture Segmentation,
ICPR88(I: 46-50).
IEEE DOI
BibRef
8800
Gong, X.,
Huang, N.K.,
Texture Segmentation Using Iterative Estimate of Energy States,
ICPR88(I: 51-55).
IEEE DOI
BibRef
8800
Cohn, P.,
Nguyen, H.H.,
Unsupervised Bayesian Estimation for Segmenting Textured Images,
ICCV88(303-309).
IEEE DOI
BibRef
8800
Dinstein, I.,
Fong, A.C.,
Ni, L.M.,
Wong, K.Y.,
Fast Discrimination Between Homogeneous and Textured Regions,
ICPR84(361-363).
BibRef
8400
Boubekraoui, A.,
Zavidovique, B.,
Rivaillier, J.,
Region Detection Based on an Homogeneous Set of Local Operators
for Hardware Implementation,
ICPR84(850-852).
BibRef
8400
Xu, G.Y.,
Fu, K.S.,
Natural Scene Segmentation Based on Multiple Threshold and
Textural Measurement,
ICPR84(1111-1113).
BibRef
8400
Wermser, D.,
Unsupervised Segmentation by Use of a Texture Gradient,
ICPR84(1114-1116).
BibRef
8400
Ando, S., and
Doi, Y.,
Region Segmentation and Classification by Textural Features,
ICPR78(553-556).
BibRef
7800
Tsai, W.H., and
Fu, K.S.,
Image Segmentation and Recognition by Texture Discrimination:
A Syntactic Approach,
ICPR78(560-564).
BibRef
7800
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Texture Segmentation Using Filters .