7.13 Structural Methods for Texture Description

Chapter Contents (Back)
Structural Texture. Texture, Structural.

Abdali, S.K.[S. Kamal],
Feature extraction algorithms,
PR(3), No. 1, April 1971, pp. 3-21.
Elsevier DOI 0309
extracting pattern-synthesizing features BibRef

Carlucci, L.[Luigia],
A Formal System for Texture Languages,
PR(4), No. 1, January 1972, pp. 53-72.
Elsevier DOI BibRef 7201

Cohen, M.[Melvin], Toussaint, G.T.[Godfried T.],
On the Detection of Structures in Noisy Pictures,
PR(9), No. 2, July 1977, pp. 95-98.
Elsevier DOI BibRef 7707

Toriwaki, J.I.[Jun-Ichiro], Fukumura, T.[Teruo],
Extraction of Structural Information from Grey Pictures,
CGIP(7), No. 1, February 1978, pp. 30-51.
Elsevier DOI BibRef 7802

Schachter, B.J., Rosenfeld, A., Davis, L.S.[Larry S.],
Random Mosaic Models for Textures,
SMC(8), 1978, pp. 694-702. BibRef 7800

Haralick, R.M.[Robert M.],
Structural Pattern Recognition, Homomorphisms, and Arrangements,
PR(10), No. 3, 1978, pp. 223-236.
Elsevier DOI BibRef 7800

Haralick, R.M.[Robert M.],
The Characterization of Binary Relation Homomorphisms,
General Systems(4), 1978, pp. 113-121. BibRef 7800

Haralick, R.M.[Robert M.], Kartus, J.,
Arrangements, Homomorphisms, and Discrete Relaxation,
SMC(8), 1978, pp. 600-612. BibRef 7800
And: PRIP78(291-300). BibRef

Maleson, J.T., Brown, C.M., Feldman, J.,
Understanding Natural Textures,
DARPAO77(19-27). The only paper that describes his unfinished work to describe textures using basic regions and relations between these regions. BibRef 7700

Funakubo, N.,
Analysis and Discussion of a Coarseness Detector,
SMC(8), 1978, pp. 229-232. BibRef 7800

Modestino, J.W., Fries, R.W., Vickers, A.L.,
Stochastic Image Models Generated by Random Tessellations of the Plane,
CGIP(12), No. 1, January 1980, pp. 74-98.
Elsevier DOI BibRef 8001

Ahuja, N., Dubitzki, T., Rosenfeld, A.,
Some Experiments with Mosaic Models for Textures,
SMC(10), November 1980, pp. 744-749. BibRef 8011

Ahuja, N., Rosenfeld, A.,
Mosaic Models for Textures,
PAMI(3), No. 1, January 1981, pp. 1-11. BibRef 8101

Ahuja, N.,
Mosaic Models for Images - I: Geometric Properties of Components in Cell-Structure Mosaics,
IS(23), 1981, pp. 69-104. BibRef 8100

Ahuja, N.,
Mosaic Models for Images - II: Geometric Properties of Components in Coverage Mosaics,
IS(23), 1981, pp. 159-200. BibRef 8100

Ahuja, N.,
Mosaic Models for Images - III: Spatial Correlation in Mosaics,
IS(24), 1981, pp. 43-69. BibRef 8100

Ahuja, N.,
Mosaic Models for Image Analysis and Synthesis,
Ph.D.Thesis, 1979, BibRef 7900 UMD BibRef

Ahuja, N.,
Connectivity in Lattices and Mosaics,
ICPR78(488-493). BibRef 7800

Vilnrotter, F.M., Nevatia, R., Price, K.E.,
Structural Analysis of Natural Textures,
PAMI(8), No. 1, January 1986, pp. 76-89. BibRef 8601 USC Computer Vision BibRef
And: DARPA81(61-68). BibRef
And: A1 only: Ph.D.Thesis (Comp. Sci.), September 1981, BibRef USC_ISGTR-100. Complete structural texture analysis system description. The thesis has all the details BibRef

Vilnrotter, F.M., Nevatia, R., Price, K.E.,
Structural Description of Natural Textures,
ICPR80(1142-1144). BibRef 8000 USC Computer Vision BibRef

Vilnrotter, F.M., Nevatia, R.,
Structural Texture Analysis Applications,
DARPA82(243-252). BibRef 8200 USC Computer Vision BibRef

Nevatia, R., Price, K.E., Vilnrotter, F.M.,
Describing Natural Textures,
IJCAI79(642-644). BibRef 7900 USC Computer Vision BibRef
And: DARPA79(55-60). BibRef

Lu, S.Y., Fu, K.S.,
A Clustering Procedure for Syntactic Patterns,
SMC(7), October 1977, pp. 734-742. BibRef 7710

Lu, S.Y., Fu, K.S.,
Stochastic Error-Correcting Syntax Analysis for Recognition of Noisy Patterns,
TC(26), No. 12, December 1977, pp. 1268-1276. BibRef 7712

Lu, S.Y., Fu, K.S.,
A Syntactic Approach to Texture Analysis,
CGIP(7), No. 3, June 1978, pp. 303-330.
Elsevier DOI (Asilomar paper).
See also Comparative Study of Texture Measures for Terrain Classification, A. Tree grammar to describe the texture, i.e., patterns of ideal textural elements; not that clear. BibRef 7806

Lu, S.Y., Fu, K.S.,
Stochastic Tree Grammar Inference for Texture Synthesis and Discrimination,
CGIP(9), No. 3, March 1979, pp. 234-245.
Elsevier DOI BibRef 7903

Fu, K.S., Lu, S.Y.,
Size Normalization and Pattern Orientation Problems in Syntactic Clustering,
SMC(9), 1979, pp. 55-58. BibRef 7900

Lu, S.Y., Fu, K.S.,
Error Correcting Tree Automata for Syntactic Pattern Recognition,
TC(27), No. 11, November 1978, pp. 1040-1053. BibRef 7811

Zucker, S.W.[Steven W.],
Toward a Model of Texture,
CGIP(5), No. 2, June 1976, pp. 190-202.
Elsevier DOI Introduce texture primitives. Relate statistical textures to deterministic patterns. BibRef 7606

Zucker, S.W.[Steven W.],
Vertical and Horizontal Processes in Low Level Vision,
CVS78(187-195). BibRef 7800

Zucker, S.W.[Steven W.], Kant, K.,
Multiple Level Representations for Texture Description,
PRIP81(609-614). BibRef 8100
And: McGill Univ. TRTR-81-3, Montreal, Quebec, March 1981. An attempt to produce multilevel descriptions - incomplete. BibRef

Zucker, S.W.[Steven W.], Terzopoulos, D.[Demetri],
Finding Structure in Co-Occurrence Matrices for Texture Analysis,
CGIP(12), No. 3, March 1980, pp. 286-308.
Elsevier DOI BibRef 8003
Earlier: A2, A1:
Texture Discrimination Using Intensity and Edge Co-Occurrences,
ICPR80(565-567). BibRef

Tamura, H., Mori, T., Yamawaki, T.,
Textural Features Corresponding to Visual Perception,
SMC(8), June 1978, pp. 460-473. BibRef 7806
Earlier:
Effectiveness of Textural Features for Classification of Aerial Multispectral Images,
PRIP77(289-298). Uses tricks such as cooccurrence of edges to get line length. BibRef

Davis, L.S.[Larry S.],
Computing the Spatial Structures of Cellular Texture,
CGIP(11), No. 2, October 1979, pp. 111-122.
Elsevier DOI BibRef 7910

Conners, R.W., Ng, C.T.,
Developing a Quantitative Model of Human Preattentive Vision,
SMC(19), No. 6, November/December 1989, pp. 1384-1407. Mostly it is a discussion of structural texture descriptions. A very good set of references. BibRef 8911

Conners, R.W.,
Toward a Set of Statistical Features Which Measure Visually Perceivable Qualities of Textures,
PRIP79(382-390). (LSU) BibRef 7900

Conners, R.W.[Richard W.], Harlow, C.A.[Charles A.],
A Theoretical Comparison of Texture Algorithms,
PAMI(2), No. 3, May 1980, pp. 204-222. Texture, Evaluation. (LSU)
See also Comparative Study of Texture Measures for Terrain Classification, A. compare the same techniques empirically. Histogram flattening; statistical classification methods; features Fourier ring/sector; difference of average and co-occurrence; contrast, ASM, entropy, correlation. Difference of averages, 8H, and 8V. Gray level runlength. BibRef 8005

Conners, R.W.[Richard W.], Harlow, C.A.[Charles A.],
Toward a Structural Textural Analyzer Based on Statistical Methods,
CGIP(12), No. 3, March 1980, pp. 224-256.
Elsevier DOI (LSU) BibRef 8003

Conners, R.W.[Richard W.], Trivedi, M.M.[Mohan M.], Harlow, C.A.[Charles A.],
Segmentation of a High-Resolution Urban Scene Using Texture Operators,
CVGIP(25), No. 3, March 1984, pp. 273-310.
Elsevier DOI Textures are measured for the training samples in the given aerial image using various operators. These are then used to segment the image using small blocks by classification. BibRef 8403

Tomita, F., Shirai, Y., Tsuji, S.,
Description of Textures by a Structural Analysis,
PAMI(4), No. 2, March 1982, pp. 183-191. BibRef 8203
Earlier: IJCAI79(884-889). BibRef
Earlier:
Classification of Textures by Structural Analysis,
ICPR78(556-558). Texture, Recognition. Using natural textures, extract primitives by region growing. Get description of elements and arrangement (use for recognition), reconstruct pattern.
See also Structural Analysis of Natural Textures. for similar tone and results. BibRef

Tomita, F., Yachida, M., Tsuji, S.,
Description of Homogeneous Regions by a Structural Analysis,
IJCAI73(564-571). BibRef 7300

Tomita, F.,
Hierarchical Description of Textures,
IJCAI81(728-733). BibRef 8100

Tsuji, S., Tomita, F.,
A Structural Analyzer for a Class of Textures,
CGIP(2), December 1973, pp. 216-231. BibRef 7312

van Oeffelen, M.P.[Michiel P.], Vos, P.G.[Peter G.],
An Algorithm for Pattern Description on the Level of Relative Proximity,
PR(16), No. 3, 1983, pp. 341-348.
Elsevier DOI BibRef 8300

Aso, H., Honda, N.,
Representation of Iterative Patterns,
PRAI(3), 1989, pp. 479-495. BibRef 8900

Meisels, A.[Amnon], Versano, R.[Ronen],
Token-Textured Object Detection by Pyramids,
IVC(10), No. 1, January-February 1992, pp. 55-62.
Elsevier DOI BibRef 9201

Rao, A.R.[A. Ravishankar], Lohse, G.L.[Gerald L.],
Identifying High Level Features of Texture Perception,
GMIP(55), No. 3, May 1993, pp. 218-yy. BibRef 9305

Ferryanto, S.,
A Kolmogorov-Smirnov Type Statistic for Detecting Structural-Changes of Textures,
PRL(16), No. 3, March 1995, pp. 247-256. BibRef 9503

Hild, M.[Michael], Shirai, Y.[Yoshiaki],
Extraction of Texture Elements from Images of Shaded Scenes,
PR(26), No. 8, August 1993, pp. 1177-1191.
Elsevier DOI BibRef 9308

Dougherty, E.R.[Edward R.], Newell, J.T.[John T.], Pelz, J.B.[Jeff B.],
Morphological Texture-Based Maximum-Likelihood Pixel Classification Based on Local Granulometric Moments,
PR(25), No. 10, October 1992, pp. 1181-1198.
Elsevier DOI BibRef 9210

Bonneh, Y., Reisfeld, D., Yeshurun, Y.,
Quantification of Local Symmetry: Application to Texture Discrimination,
SV(8), 1994, pp. 515-530. BibRef 9400
Earlier:
Texture discrimination by local generalized symmetry,
ICCV93(461-465).
IEEE DOI 0403

See also Context-Free Attentional Operators: The Generalized Symmetry Transform. BibRef

Mesrobian, E., Skrzypek, J.,
Segmenting Textures Using Cells with Adaptive Receptive Fields,
SV(9), 1995, pp. 163-190. BibRef 9500

Lee, J.H., Hsueh, Y.C.,
Texture Classification Method Using Multiple Space Filling Curves,
PRL(15), 1994, pp. 1241-1244. BibRef 9400

Jan, S.R., Hsueh, Y.C.,
Window-Size Determination for Granulometric Structural Texture Classification,
PRL(19), No. 5-6, April 1998, pp. 439-446. 9808
BibRef

Kundu, P., Chaudhuri, B.B.,
Fuzzy Geometric Feature-Based Texture Classification,
PRL(14), 1993, pp. 825-832. BibRef 9300

Wen, W., Fryer, R.J.,
Multiscale Texture Element Detection,
PRL(12), 1991, pp. 793-804. BibRef 9100

Wen, W.[Wen], Fryer, R.J.[Richard J.],
Texture Boundary Detection: A Structural Approach,
BMVC91(xx-yy).
PDF File. 9109
BibRef

Pikaz, A., Averbuch, A.,
An Efficient Topological Characterization of Gray-Levels Textures, Using a Multiresolution Representation,
GMIP(59), No. 1, January 1997, pp. 1-17. 9703
BibRef

Barth, E., Zetzsche, C., Rentschler, I.,
Intrinsic Two Dimensional Features as Textons,
JOSA-A(15), No. 7, July 1998, pp. 1723-1732. 9807
BibRef

Kraus, E.J., Heijmans, H.J.A.M., Dougherty, E.R.,
Gray-scale granulometries compatible with spatial scalings,
SP(34), No. 1, 1993, pp. 1-17. BibRef 9300

Szirányi, T.[Tamás], Hanis, A.[Attila],
Sub-pattern texture recognition using intelligent focal-plane imaging sensor of small window-size,
PRL(20), No. 11-13, November 1999, pp. 1133-1139. 0001
BibRef

Jones, D.G.[Damian G.], Jackway, P.T.[Paul T.],
Granolds: a novel texture representation,
PR(33), No. 6, June 2000, pp. 1033-1045.
Elsevier DOI 0004
BibRef

Choudhury, R.[Ragini], Chaudhury, S.[Santanu], Srivastava, J.B.,
A Framework for Reconstruction based Recognition of Partially Occluded Repeated Objects,
JMIV(14), No. 1, February 2001, pp. 5-20.
DOI Link 0102
BibRef

Ayala, G.[Guillermo], Domingo, J.[Juan],
Spatial Size Distributions: Applications to Shape and Texture Analysis,
PAMI(23), No. 12, December 2001, pp. 1430-1442.
IEEE DOI 0112
Spatial Size Distributions. (SSD). Combine a granulometric analysis with a comparison between the covarigrams for binary (or auto-correlation for gray level) and its granulometric transformation. Compare to earlier models. MRF (
See also Classification of Textures Using Gaussian Markov Random Fields. ), GLCM (
See also Theoretical Comparison of Texture Algorithms, A. ), Fractal Dimension (
See also Improved Fractal Geometry Based Texture Segmentation Technique. ), Gabor Convolution Energies (
See also Gabor Filters as Texture Discriminator. ), (as implemented in (
See also Measuring Texture Classification Algorithms. )). BibRef

Balagurunathan, Y.[Yoganand], Dougherty, E.R.[Edward R.],
Optimal linear granulometric estimation for random sets,
PR(35), No. 6, June 2002, pp. 1315-1325.
Elsevier DOI 0203
BibRef

Balagurunathan, Y.[Yoganand], Dougherty, E.R.[Edward R.],
Granulometric parametric estimation for the random Boolean model using optimal linear filters and optimal structuring elements,
PRL(24), No. 1-3, January 2003, pp. 283-293.
Elsevier DOI 0211
BibRef

Oh, G.[Gyuhwan], Lee, S.Y.[Seung-Yong],
Motif analysis of noisy regular textures,
PRL(23), No. 10, August 2002, pp. 1179-1190.
Elsevier DOI 0205
Motif: minimal regular parallelograms to reproduce texture. BibRef

Hoogs, A.[Anthony], Collins, R.[Roderic], Kaucic, R.[Robert], Mundy, J.L.[Joseph L.],
A common set of perceptual observables for grouping, figure-ground discrimination, and texture classification,
PAMI(25), No. 4, April 2003, pp. 458-474.
IEEE Abstract. 0304
Texture characterization as collection of piecewise constant image segments. BibRef

Hoogs, A.[Anthony], Collins, R.[Roderic],
Object Boundary Detection in Images using a Semantic Ontology,
SLAM06(111).
IEEE DOI 0609
True boundaries are edges between different classes. BibRef

Hoogs, A.[Anthony], Collins, R.[Roderic], Kaucic, R.[Robert],
Classification of 3D macro texture using perceptual observables,
ICPR02(IV: 113-117).
IEEE DOI 0211
BibRef

Curry, D.J.[Donald J.],
Micro region count image texture characterization,
US_Patent6,483,942, Nov 19, 2002
WWW Link. scan finding dots. BibRef 0211

Tuytelaars, T.[Tinne], Turina, A.[Andreas], Van Gool, L.J.,
Noncombinatorial detection of regular repetitions under perspective skew,
PAMI(25), No. 4, April 2003, pp. 418-432.
IEEE Abstract. 0304
Integration of nonlocal information. Rely on geometric structure and symmerty. BibRef

Riquelme, J.C.[José C.], Aguilar-Ruiz, J.S.[Jesús S.], Toro, M.[Miguel],
Finding representative patterns with ordered projections,
PR(36), No. 4, April 2003, pp. 1009-1018.
Elsevier DOI 0304
BibRef

Lin, H.C.[Hsin-Chih], Chiu, C.Y.[Chih-Yi], Yang, S.N.[Shi-Nine],
Finding textures by textual descriptions, visual examples, and relevance feedbacks,
PRL(24), No. 14, October 2003, pp. 2255-2267.
Elsevier DOI 0307
BibRef

Zhu, S.C.[Song-Chun], Guo, C.E.[Cheng-En], Wang, Y.Z.[Yi-Zhou], Xu, Z.J.[Zi-Jian],
What are Textons?,
IJCV(62), No. 1-2, April-May 2005, pp. 121-143.
DOI Link 0411
BibRef
Earlier: A1, A2, A4, A3: ECCV02(IV: 793 ff.).
Springer DOI 0205
Patches for descriptions. BibRef

Zalesny, A.V., Ferrari, V., Caenen, G., Van Gool, L.J.,
Composite Texture Synthesis,
IJCV(62), No. 1-2, April-May 2005, pp. 161-176.
DOI Link 0411
BibRef
Earlier:
Parallel Composite Texture Synthesis,
Texture02(151-156). 0207
BibRef

Zalesny, A.V.[Alexey V.], Van Gool, L.J.[Luc J.],
Multiview Texture Models,
CVPR01(I:615-622).
IEEE DOI BibRef 0100
And: Color plates: CVPR01(I:1179-1180). 0110
BibRef
Earlier:
A Compact Model for Viewpoint Dependent Texture Synthesis,
SMILE00(124 ff.).
Springer DOI 0209
Texture for synthesis. BibRef

Caenen, G., Ferrari, V., Zalesny, A.V., Van Gool, L.J.,
Analyzing the Layout of Composite Textures,
Texture02(15-20). 0207
BibRef

Zalesny, A.V.[Alexey V.], Ferrari, V.[Vittorio], Caenen, G.[Geert], Auf der Maur, D.[Dominik], Van Gool, L.J.[Luc J.],
Composite Texture Descriptions,
ECCV02(III: 180 ff.).
Springer DOI 0205
Texture is a composition of subtextures. BibRef

Van Gool, L.J., Vandermeulen, D., Kalberer, G.A., Tuytelaars, T., Zalesny, A.V.,
Modeling shapes and textures from images: new frontiers,
3DPVT02(286-294).
IEEE DOI 0206
BibRef

Zalesny, A.V.,
Homogeneity and texture. General approach,
ICPR94(A:592-594).
IEEE DOI 9410
BibRef

Caenen, G.[Geert], Van Gool, L.J.[Luc J.],
Maximum Response Filters for Texture Analysis,
PercOrg04(58).
IEEE DOI 0502
BibRef

Lazebnik, S.[Svetlana], Schmid, C.[Cordelia], Ponce, J.,
A Sparse Texture Representation Using Local Affine Regions,
PAMI(27), No. 8, August 2005, pp. 1265-1278.
IEEE Abstract. 0506
BibRef
Earlier:
A sparse texture representation using affine-invariant regions,
CVPR03(II: 319-324).
IEEE DOI
PS File. 0307

See also Discriminative Framework for Texture and Object Recognition Using Local Image Features, A. BibRef

Zhang, J.G.[Jian-Guo], Marszalek, M.[Marcin], Lazebnik, S.[Svetlana], Schmid, C.[Cordelia],
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study,
IJCV(73), No. 2, June 2007, pp. 213-238.
Springer DOI 0702
BibRef
Earlier: BP06(13).
IEEE DOI 0609
BibRef
And:
Local Features and Kernels for Classification of Texture and Object Categories: An In-Depth Study,
INRIARR-5737, 2005.
HTML Version. BibRef

Aujol, J.F.[Jean-François], Gilboa, G.[Guy], Chan, T.[Tony], Osher, S.J.[Stanley J.],
Structure-Texture Image Decomposition: Modeling, Algorithms, and Parameter Selection,
IJCV(67), No. 1, April 2006, pp. 111-136.
Springer DOI 0604

See also Nonlinear Scale Space with Spatially Varying Stopping Time. BibRef

Gilboa, G.[Guy],
Semi-Inner-Products for Convex Functionals and Their Use in Image Decomposition,
JMIV(57), No. 1, January 2017, pp. 26-42.
Springer DOI 1701
BibRef

Craiu, R.V., Lee, T.C.M.,
Pattern Generation Using Likelihood Inference for Cellular Automata,
IP(15), No. 7, July 2006, pp. 1718-1727.
IEEE DOI 0606
BibRef

Umarani, C., Ganesan, L., Radhakrishnan, S.,
Analysis of skin images using texture descriptor by a combined statistical and structural approach,
IJIST(17), No. 6, 2007, pp. 359-366.
DOI Link 0804
Texture analysis of skin variations. BibRef

Vartiainen, J.[Jarkko], Sadovnikov, A.[Albert], Kamarainen, J.K.[Joni-Kristian], Lensu, L.[Lasse], Kälviäinen, H.[Heikki],
Detection of irregularities in regular patterns,
MVA(19), No. 4, July 2008, pp. xx-yy.
Springer DOI 0711
BibRef
Earlier: A1, A2, A4, A3, A5:
Detecting irregularities in regular patterns,
ICPR06(III: 926-929).
IEEE DOI 0609
BibRef

Liao, S., Law, M.W.K., Chung, A.C.S.[Albert C.S.],
Dominant Local Binary Patterns for Texture Classification,
IP(18), No. 5, May 2009, pp. 1107-1118.
IEEE DOI 0904
BibRef
Earlier:
Combining Microscopic and Macroscopic Information for Rotation and Histogram Equalization Invariant Texture Classification,
ACCV06(I:100-109).
Springer DOI 0601
BibRef

Peyré, G.[Gabriel],
Sparse Modeling of Textures,
JMIV(34), No. 1, May 2009, pp. xx-yy.
Springer DOI 0905
BibRef
Earlier:
Non-negative Sparse Modeling of Textures,
SSVM07(628-639).
Springer DOI 0705
BibRef

Ni, J.B.[Jing-Bo], Matsakis, P.[Pascal],
An equivalent definition of the histogram of forces: Theoretical and algorithmic implications,
PR(43), No. 4, April 2010, pp. 1607-1617.
Elsevier DOI 1002
Relative position; Histogram of forces; Spatial correlation; Histogram of angles; Spatial relationships BibRef

Yalniz, I.Z.[Ismet Zeki], Aksoy, S.[Selim],
Unsupervised detection and localization of structural textures using projection profiles,
PR(43), No. 10, October 2010, pp. 3324-3337.
Elsevier DOI 1007
Structural texture analysis; Texture periodicity; Textons; Regularity detection; Wavelet analysis BibRef

Park, H.C.[Hee-Chan], Martin, G.R.[Graham R.], Bhalerao, A.H.[Abhir H.],
An Affine Symmetric Image Model and Its Applications,
IP(19), No. 7, July 2010, pp. 1695-1705.
IEEE DOI 1007
BibRef
Earlier:
Structural Texture Segmentation using Affine Symmetry,
ICIP07(II: 49-52).
IEEE DOI 0709
BibRef

Park, H.C.[Hee-Chan], Martin, G.R.[Graham R.], Bhalerao, A.H.[Abhir H.],
Local Affine Image Matching and Synthesis Based on Structural Patterns,
IP(19), No. 8, August 2010, pp. 1968-1977.
IEEE DOI 1008
BibRef

Battiato, S.[Sebastiano], Farinella, G.M.[Giovanni Maria], Gallo, G.[Giovanni], Ravì, D.,
Exploiting Textons Distributions on Spatial Hierarchy for Scene Classification,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 1003
BibRef
Earlier:
Scene categorization using bag of Textons on spatial hierarchy,
ICIP08(2536-2539).
IEEE DOI 0810
BibRef

Farinella, G.M.[Giovanni Maria], Battiato, S.[Sebastiano],
Scene classification in compressed and constrained domain,
IET-CV(5), No. 5, 2011, pp. 320-334.
DOI Link 1110
BibRef

Farinella, G.M.[Giovanni Maria], Battiato, S.[Sebastiano], Gallo, G.[Giovanni], Cipolla, R.[Roberto],
Natural Versus Artificial Scene Classification by Ordering Discrete Fourier Power Spectra,
SSPR08(137-146).
Springer DOI 0812
BibRef

Rouco, J.[José], Mosquera, A.[Antonio], Penedo, M.G.[Manuel G.], Ortega, M.[Marcos], Penas, M.,
Texture description in local scale using texton histograms with quadrature filter universal dictionaries,
IET-CV(5), No. 4, 2011, pp. 211-221.
DOI Link 1107
BibRef
Earlier: A1, A3, A4, A2, Only:
Texture Description in Local Scale Using Texton Histograms with Universal Dictionary,
DICTA09(47-52).
IEEE DOI 0912
BibRef

Li, Z., Liu, G., Yang, Y., You, J.,
Scale- and Rotation-Invariant Local Binary Pattern Using Scale-Adaptive Texton and Subuniform-Based Circular Shift,
IP(21), No. 4, April 2012, pp. 2130-2140.
IEEE DOI 1204
BibRef

Hua, W.[Wei], Wang, R.[Rui], Zeng, X.S.[Xu-Sheng], Tang, Y.[Ying], Wang, H.M.[Hua-Min], Bao, H.J.[Hu-Jun],
Compressing repeated content within large-scale remote sensing images,
VC(27), No. 6-8, June 2011, pp. 755-764.
Springer DOI 1205
BibRef

Zhang, J.[Jun], Zhao, H.[Heng], Liang, J.[Jimin],
Continuous rotation invariant local descriptors for texton dictionary-based texture classification,
CVIU(117), No. 1, January 2013, pp. 56-75.
Elsevier DOI 1212
Continuous maximum responses; Principal curvatures; Texton dictionary; Continuous rotation invariance; Texture classification BibRef

Zhang, J.[Jun], Liang, J.[Jimin], Zhang, C.H.[Chun-Hui], Zhao, H.[Heng],
Scale invariant texture representation based on frequency decomposition and gradient orientation,
PRL(51), No. 1, 2015, pp. 57-62.
Elsevier DOI 1412
Scale invariance BibRef

Wang, X.Y.[Xing-Yuan], Wang, Z.Y.[Zong-Yu],
A novel method for image retrieval based on structure elements' descriptor,
JVCIR(24), No. 1, January 2013, pp. 63-74.
Elsevier DOI 1301
Texture descriptor; Color descriptor; Quantization color space; Content based image retrieval; Structure elements' descriptor; Structure elements' histogram; Texton detection; HSV color space BibRef

Wang, X.Y.[Xing-Yuan], Wang, Z.Y.[Zong-Yu],
The method for image retrieval based on multi-factors correlation utilizing block truncation coding,
PR(47), No. 10, 2014, pp. 3293-3303.
Elsevier DOI 1406
Content based image retrieval
See also improved no-search fractal image coding method based on a fitting plane, An. BibRef

Lizarraga-Morales, R.A.[Rocio A.], Sanchez-Yanez, R.E.[Raul E.], Ayala-Ramirez, V.[Victor],
Fast texel size estimation in visual texture using homogeneity cues,
PRL(34), No. 4, 1 March 2013, pp. 414-422.
Elsevier DOI 1302
Texel size detection; Textural periodicity; Difference histogram BibRef

Zujovic, J.[Jana], Pappas, T.N.[Thrasyvoulos N.], Neuhoff, D.L.[David L.],
Structural Texture Similarity Metrics for Image Analysis and Retrieval,
IP(22), No. 7, 2013, pp. 2545-2558.
IEEE DOI 1307
BibRef
Earlier:
Structural similarity metrics for texture analysis and retrieval,
ICIP09(2225-2228).
IEEE DOI 0911
image retrieval; steerable filter decomposition; texture analysis-synthesis
See also Structural Similarity Quality Metrics in a Coding Context: Exploring the Space of Realistic Distortions. BibRef

Zhai, Y.H.[Yuan-Hao], Neuhoff, D.L.[David L.],
Photographic paper classification via local radius index metric,
ICIP15(1439-1443)
IEEE DOI 1512
BibRef
And:
Distributions of local radius indices on periodic tessellations,
ICIP15(187-191)
IEEE DOI 1512
BibRef
Earlier:
Rotation-invariant local radius index: A compact texture similarity feature for classification,
ICIP14(5711-5715)
IEEE DOI 1502
LRI; Texture similarity; tessellation. Accuracy BibRef

Pappas, T.N.[Thrasyvoulos N.], Neuhoff, D.L.[David L.], de Ridder, H., Zujovic, J.[Jana],
Image Analysis: Focus on Texture Similarity,
PIEEE(101), No. 9, 2013, pp. 2044-2057.
IEEE DOI 1309
Image analysis BibRef

Zhao, X.N.[Xiao-Nan], Reyes, M.G.[Matthew G.], Pappas, T.N.[Thrasyvoulos N.], Neuhoff, D.L.[David L.],
Structural texture similarity metrics for retrieval applications,
ICIP08(1196-1199).
IEEE DOI 0810
BibRef

Han, J.W.[Jun-Wei], McKenna, S.J.[Stephen J.],
Lattice estimation from images of patterns that exhibit translational symmetry,
IVC(32), No. 1, 2014, pp. 64-73.
Elsevier DOI 1402
Texture BibRef

Xie, J.[Jin], Zhang, L.[Lei], You, J.[Jane], Shiu, S.[Simon],
Effective texture classification by texton encoding induced statistical features,
PR(48), No. 2, 2015, pp. 447-457.
Elsevier DOI 1411
Texture classification BibRef

Xie, J.[Jin], Zhang, L.[Lei], You, J.[Jane], Zhang, D.[David],
Texture classification via patch-based sparse texton learning,
ICIP10(2737-2740).
IEEE DOI 1009
BibRef

He, C., Zhuo, T., Su, X., Tu, F., Chen, D.,
Local Topographic Shape Patterns for Texture Description,
SPLetters(22), No. 7, July 2015, pp. 871-875.
IEEE DOI 1412
BibRef

Hafiane, A.[Adel], Palaniappan, K.[Kannappan], Seetharaman, G.[Guna],
Joint Adaptive Median Binary Patterns for texture classification,
PR(48), No. 8, 2015, pp. 2609-2620.
Elsevier DOI 1505
BibRef
Earlier:
Adaptive Median Binary Patterns for Texture Classification,
ICPR14(1138-1143)
IEEE DOI 1412
Adaptive median. Accuracy; Databases; Histograms; Joints; Noise; Noise measurement; Training BibRef

Alkhatib, M., Hafiane, A.[Adel],
Robust Adaptive Median Binary Pattern for Noisy Texture Classification and Retrieval,
IP(28), No. 11, November 2019, pp. 5407-5418.
IEEE DOI 1909
Noise measurement, Robustness, Gaussian noise, Microstructure, Feature extraction, local binary pattern (LBP) BibRef

Hafiane, A.[Adel], Seetharaman, G.[Guna], Zavidovique, B.[Bertrand],
Median Binary Pattern for Textures Classification,
ICIAR07(387-398).
Springer DOI 0708
BibRef

Hafiane, A.[Adel], Seetharaman, G.[Guna], Palaniappan, K.[Kannappan], Zavidovique, B.[Bertrand],
Rotationally Invariant Hashing of Median Binary Patterns for Texture Classification,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Hafiane, A., Zavidovique, B.[Bertrand],
Local Relational String for Textures Classification,
ICIP06(2157-2160).
IEEE DOI 0610
BibRef

Zhu, Z.Q.[Zi-Qi], You, X.G.[Xin-Ge], Chen, C.L.P.[C.L. Philip], Tao, D.C.[Da-Cheng], Ou, W.H.[Wei-Hua], Jiang, X.B.[Xiu-Bao], Zou, J.X.[Ji-Xin],
An adaptive hybrid pattern for noise-robust texture analysis,
PR(48), No. 8, 2015, pp. 2592-2608.
Elsevier DOI 1505
Noise robust BibRef

Zhu, Z.Q.[Zi-Qi], You, X.G.[Xin-Ge], Chent, C.L.P.[C.L. Philip], Tao, D.C.[Da-Cheng], Jiang, X.B.[Xiu-Bao], You, F.[Fanyu], Zou, J.X.[Ji-Xing],
A Noise-Robust Adaptive Hybrid Pattern for Texture Classification,
ICPR14(1633-1638)
IEEE DOI 1412
Accuracy BibRef

Juliet, S.[Sujitha], Rajsingh, E.B.[Elijah Blessing], Ezra, K.[Kirubakaran],
A novel image compression method for medical images using geometrical regularity of image structure,
SIViP(9), No. 7, October 2015, pp. 1691-1703.
Springer DOI 1509
BibRef

Juliet, S.[Sujitha], Rajsingh, E.B.[Elijah Blessing], Ezra, K.[Kirubakaran],
A novel medical image compression using Ripplet transform,
RealTimeIP(11), No. 2, February 2016, pp. 401-412.
Springer DOI 1602
BibRef

Kolár, M.[Martin], Chalmers, A.[Alan], Debattista, K.[Kurt],
Repeatable texture sampling with interchangeable patches,
VC(32), No. 10, October 2016, pp. 1263-1272.
WWW Link. 1610
BibRef

Rosu, R.G.[Roxana G.], Donias, M.[Marc], Bombrun, L.[Lionel], Said, S.[Salem], Regniers, O.[Olivier], da Costa, J.P.[Jean-Pierre],
Structure Tensor Riemannian Statistical Models for CBIR and Classification of Remote Sensing Images,
GeoRS(55), No. 1, January 2017, pp. 248-260.
IEEE DOI 1701
description of texture on very high resolution (VHR) remote sensing images. BibRef

Rosu, R.G., da Costa, J.P., Donias, M.,
Structure tensor Log-Euclidean statistical models for texture analysis,
ICIP16(3553-3557)
IEEE DOI 1610
Adaptation models BibRef

Zou, Q.[Qin], Ni, L.H.[Li-Hao], Wang, Q.[Qian], Hu, Z.W.[Zhong-Wen], Li, Q.Q.[Qing-Quan], Wang, S.[Song],
Local Pattern Collocations Using Regional Co-occurrence Factorization,
MultMed(19), No. 3, March 2017, pp. 492-505.
IEEE DOI 1702
Feature extraction BibRef

Manandhar, D., Yap, K.H.,
Feature Repetitiveness Similarity Metrics in Visual Search,
SPLetters(24), No. 9, September 2017, pp. 1368-1372.
IEEE DOI 1708
Databases, Feature extraction, Image matching, Measurement, Signal processing algorithms, Visualization, Image retrieval, repetitive pattern, similarity metrics, visual burstiness BibRef

Adanova, V.[Venera], Tari, S.[Sibel],
Analysis of Planar Ornament Patterns via Motif Asymmetry Assumption and Local Connections,
JMIV(61), No. 3, March 2019, pp. 269-291.
Springer DOI 1903
Wall paper -- repeating patterns. BibRef

de Bortoli, V.[Valentin], Desolneux, A.[Agnès], Galerne, B.[Bruno], Leclaire, A.[Arthur],
Patch Redundancy in Images: A Statistical Testing Framework and Some Applications,
SIIMS(12), No. 2, 2019, pp. 893-926.
DOI Link 1907
Spatial redundancy in images. BibRef

Liu, J.[Juan], Psarakis, E.Z.[Emmanouil Z.], Feng, Y., Stamos, I.[Ioannis],
A Kronecker Product Model for Repeated Pattern Detection on 2D Urban Images,
PAMI(41), No. 9, Sep. 2019, pp. 2266-2272.
IEEE DOI 1908
BibRef
Earlier: A1, A2, A4, Only:
Automatic Kronecker Product Model Based Detection of Repeated Patterns in 2D Urban Images,
ICCV13(401-408)
IEEE DOI 1403
Cost function, Feature extraction, urban façade. City Analysis; Grouping; Repetition Detection; Segmentation BibRef

Gui, Y.[Yan], Liu, Y.[Yang],
Discrete texture elements synthesis on surfaces using elements distribution,
IJCVR(10), No. 1, 2020, pp. 61-78.
DOI Link 2001
BibRef

Oh, H.S.[Hee-Seok], Kim, D.[Donghoh],
Image decomposition by bidimensional ensemble patch transform,
PRL(135), 2020, pp. 173-179.
Elsevier DOI 2006
Decomposition, Ensemble filter, Extraction, Multiscale methods BibRef

Wang, W.Z.[Wen-Zhen], Deng, N.[Na], Xin, B.J.[Bin-Jie], Wang, Y.L.[Yi-Liang], Lu, S.G.[Shuai-Gang],
Novel segmentation algorithm for jacquard patterns based on multi-view image fusion,
IET-IPR(14), No. 17, 24 December 2020, pp. 4563-4570.
DOI Link 2104
BibRef

Men, P.[Peng], Guo, H.[Hao], An, J.[Jubai], Li, G.[Guanyu],
An Improved L2Net for Repetitive Texture Image Registration with Intensity Difference Heterogeneous SAR Images,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Cui, Z.[Zhen], Zhou, L.[Ling], Wang, C.[Chaoqun], Xu, C.Y.[Chun-Yan], Yang, J.[Jian],
Visual Micro-Pattern Propagation,
PAMI(45), No. 1, January 2023, pp. 1267-1286.
IEEE DOI 2212
Patterns recur in images. Visualization, Task analysis, Semantics, Object tracking, Multitasking, Image segmentation, Deep learning, cross-task learning BibRef

Ibrahim, Y.[Yahya], Nagy, B.[Balázs], Benedek, C.[Csaba],
A GAN-based Blind Inpainting Method for Masonry Wall Images,
ICPR21(3178-3185)
IEEE DOI 2105
Training, Image segmentation, Visualization, Mortar, Pipelines, Neural networks, Observers BibRef

Xia, Z., Chakrabarti, A.,
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising,
WACV20(2415-2423)
IEEE DOI 2006
Noise measurement, Noise reduction, Neural networks, Image color analysis, Task analysis, Feature extraction, Image denoising BibRef

Lin, J., Pappas, T.N.,
Structural Texture Similarity for Material Recognition,
ICIP19(4424-4428)
IEEE DOI 1910
Texture analysis, subband statistics, dominant colors, material identification BibRef

Ibrahim, Y.[Yahya], Nagy, B.[Balázs], Benedek, C.[Csaba],
CNN-Based Watershed Marker Extraction for Brick Segmentation in Masonry Walls,
ICIAR19(I:332-344).
Springer DOI 1909
BibRef