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(Or Hartley??)
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Distribution of Runs in Binary Words,
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And:
Correction:
PAMI(1), No. 4, October 1979, pp. 417.
BibRef
Lumia, R.[Ronald],
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Texture Analysis of Aerial Photographs,
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Elsevier DOI A complete analysis system that starts with a basic segmentation
and the classifies the regions based on texture parameters using
decision theory and clustering of statistical data. A
classification is large versus small building textures. The
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Interesting results in terms of the style of research.
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Vickers, A.L., and
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de Souza, P.[Peter],
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Elsevier DOI relates to chi square test of homogeneity.
See also Random Walk Procedure for Texture Discrimination, A.
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Percus, J.K.,
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Elsevier DOI
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See also Random Walk Procedure for Texture Discrimination, A.
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Harwood, D.[David],
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Texture Classification by Local Rank Correlation,
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And:
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And:
CGPR75(62-64).
Evaluation, Texture.
Histogram flattening; statistical classification methods; features
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co-occurrence better than Fourier. Co-occurrence: contrast, ASM,
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Experiments in Terrain Classification on Landsat Imagery by
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Robust Morphological Features for Texture Classification,
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IEEE DOI
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Tsatsanis, M.K., and
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Cohen, H.A.,
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Hierarchical Maximum Entropy Partitioning in Texture Image Analysis,
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Textured Image Segmentation by Context Enhanced Clustering,
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9504
Earlier:
Texture classification using statistical geometrical features,
ICIP94(III: 446-450).
IEEE DOI
9411
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Evaluation, Texture.
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9601
Earlier:
Performance Evaluation of Texture Measures with
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IEEE DOI
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Earlier:
Computerized Classification of Color Textured Perthite Images,
ICPR96(II: 601-605).
IEEE DOI
9608
(Ben Gurion Univ. of Negev, IL)
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Texture Classification and Segmentation by Cellular Neural Networks
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Earlier:
Texture classification by cellular neural network and genetic learning,
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IEEE DOI
9410
BibRef
Kurosu, T.,
Uratsuka, S.,
Maeno, H.,
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Texture Statistics for Classification of Land Use with Multitemporal
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9902
Earlier:
A maximum likelihood approach to texture classification using wavelet
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ICIP94(II: 640-644).
IEEE DOI
9411
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Goon, A.A.[Alexei A.],
Rolland, J.P.[Jannick P.],
Texture classification based on comparison of second-order statistics.
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Chou, W.S.[Wen-Shou],
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Elsevier DOI
0005
BibRef
Earlier: A1, A3, A2:
SCIA97(xx-yy)
HTML Version.
9705
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Abut, H.[Hüseyin],
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Associative memory to model pairwise pixel interactions.
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Elsevier DOI
0308
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Xia, Y.[Yong],
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Image segmentation; Image texture analysis; Spatial pattern; Fuzzy clustering
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Kaur, P.[Prabhjot],
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Retracted Paper:
A robust kernelized intuitionistic fuzzy c-means clustering algorithm
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1212
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And:
Retraction Notice:
PRL(34), No. 6, 15 April 2013, pp. 709.
Elsevier DOI
1303
BibRef
Florin, C.[Charles],
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IEEE DOI
0709
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Texture image segmentation based on entropy theory,
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IEEE DOI
0412
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Sanei, S.,
Lee, T.K.M.,
A semi-supervised support vector machine for texture segmentation,
ICIP04(I: 223-226).
IEEE DOI
0505
BibRef
Hamdan, H.M.,
Larson, L.M.,
Texture classification through level lines,
ICIP02(III: 937-940).
IEEE DOI
0210
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Fan, G.L.[Guo-Liang],
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A study of contextual modeling and texture craracterization for
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IEEE DOI
0210
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Liu, F.[Fei],
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Luo, Y.,
Hu, D.,
Unsupervised Mumford-Shah energy based hybrid of texture and nontexture
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IEEE DOI
0210
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Roula, M.A.,
Bouridane, A.,
Kurugollu, F.,
Amira, A.,
Unsupervised segmentation of multispectral images using edge
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IEEE DOI
0210
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Roula, M.A.,
Bouridane, A.,
Amira, A.,
Sage, P.,
Milligan, P.,
A Novel Technique for Unsupervised Texture Segmentation,
ICIP01(I: 58-61).
IEEE DOI
0108
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Tian, B.,
Azimi-Sadjadi, M.R.,
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Neural Network-Based Cloud Classification on Satellite Imagery Using
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9700
Hepplewhite, L.,
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Unsupervised Texture Segmentation by Hebbian Learnt Cortical Cells,
ICPR96(IV: 381-385).
IEEE DOI
9608
(Brunel Univ., UK)
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Runnacles, B.S.[Ben S.],
Nixon, M.S.[Mark S.],
Texture Extraction and Segmentation via Statistical Geometric Features,
ICIP96(III: 129-132).
IEEE DOI
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9600
Ohm, J.R., and
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Texture Segmentation Using Multiscale Hurst Features,
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9700
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Complex Texture Classification Using Edge Information,
Visual97(xx).
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9700
Shen, J.[Jun],
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Fuzzy Neural Nets with Asymmetric Pi Membership Functions and
Application to Texture Classification,
SCIA97(xx-yy)
HTML Version.
9705
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Debbarma, P.,
Unsupervised texture segmentation using Hermite transform filters,
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Springer DOI
9709
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Horng, M.H.,
Sun, Y.N.,
Lin, X.Z.,
Texture Feature Coding Method for Classification of Liver Sonography,
ECCV96(I:209-218).
Springer DOI Gray-level gradient variations in 3X3 region.
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9600
Potlapalli, H.[Harsh], and
Luo, R.C.[Ren C.],
Fractal Based Classification of Natural Textures,
ARPA94(II:1595-1606).
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9400
Dasarathy, B.V.,
Texture Based Classification of Cell Imagery,
SPIE(1652), Medical Imaging VI: Image Processing, February 1992, pp. 284-291.
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9202
Dasarathy, K.B.,
Chittur, K.K., and
Dasarathy, B.V.,
Analysis of Skin Oil by FTIR Spectroscopy,
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9608
Hepplewhite, L.,
Stonham, T.,
Texture Classification Using N-Tuple Pattern Recognition,
ICPR96(IV: 159-163).
IEEE DOI
9608
(Brunel Univ., UK)
BibRef
Reed, T.R.,
Wechsler, H.,
Texture Analysis and Clustering Using the Wigner Distribution,
ICPR88(II: 770-772).
IEEE DOI
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8800
Wechsler, H.,
Feature Extraction for Texture Discrimination,
PRIP79(399-403).
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7900
Hallion, A.,
Masson, P.,
Roux, C.,
A Non-Parametric Approach to Linear Feature Extraction:
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8811
BibRef
Chen, C.H.,
A Comparative Study of Texture Classification Using Spectral Features,
ICPR82(1074-1077).
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8200
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Multi-Scale, Pyramid Texture Segmentation Approaches .