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.
WWW Version. 0309
extracting pattern-synthesizing features BibRef

Carlucci, L.,
A Formal System for Texture Languages,
PR(4), No. 1, January 1972, pp. 53-72.
WWW Version. BibRef 7201

Cohen, M., Toussiant, G.T.,
On the Detection of Structures in Noisy Pictures,
PR(9), No. 2, July 1977, pp. 95-98.
WWW Version. BibRef 7707

Toriwaki, J., and Fukumura, T.,
Extraction of Structural Information from Grey Pictures,
CGIP(7), No. 1, February 1978, pp. 30-51.
WWW Version. BibRef 7802

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

Haralick, R.M.,
Structural Pattern Recognition, Homomorphisms, and Arrangements,
PR(10), No. 3, 1978, pp. 223-236.
WWW Version. BibRef 7800

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

Haralick, R.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., and 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.
WWW Version. BibRef 8001

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

Ahuja, N., and 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., and 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., and 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., and Vilnrotter, F.M.,
Describing Natural Textures,
IJCAI79(642-644). BibRef 7900 USC Computer Vision BibRef
And: DARPA79(55-60). BibRef

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

Lu, S.Y., and 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., and Fu, K.S.,
A Syntactic Approach to Texture Analysis,
CGIP(7), No. 3, June 1978, pp. 303-330.
WWW Version. (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., and Fu, K.S.,
Stochastic Tree Grammar Inference for Texture Synthesis and Discrimination,
CGIP(9), No. 3, March 1979, pp. 234-245.
WWW Version. 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., and 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.,
Toward a Model of Texture,
CGIP(5), No. 2, June 1976, pp. 190-202.
WWW Version. Introduce texture primitives. Relate statistical textures to deterministic patterns. BibRef 7606

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

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

Tamura, H., Mori, T., and Yamawaki, T.,
Textural Features Corresponding to Visual Perception,
SMC(8), June 1978, pp. 460-473. Uses tricks such as cooccurrence of edges to get line length. BibRef 7806

Tamura, H., Mori, T., and Yamawaki, T.,
Effectiveness of Textural Features for Classification of Aerial Multispectral Images,
PRIP77(289-298). BibRef 7700

Davis, L.S.,
Computing the Spatial Structures of Cellular Texture,
CGIP(11), No. 2, October 1979, pp. 111-122.
WWW Version. BibRef 7910

Conners, R.W., and 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., and Harlow, C.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., (LSU) and Harlow, C.A.,
Toward a Structural Textural Analyzer Based on Statistical Methods,
CGIP(12), No. 3, March 1980, pp. 224-256.
WWW Version. BibRef 8003

Conners, R.W.[Richard W.], Trivedi, M.M.[Mohan M.], and Harlow, C.A.[Charles A.],
Segmentation of a High-Resolution Urban Scene Using Texture Operators,
CVGIP(25), No. 3, March 1984, pp. 273-310.
WWW Version. 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., and 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., and 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., and 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.
WWW Version. BibRef 8300

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

Meisels, A., Versano, R.,
Token-Textured Object Detection by Pyramids,
IVC(10), No. 1, January-February 1992, pp. 55-62.
WWW Version. 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., Shirai, Y.,
Extraction of Texture Elements from Images of Shaded Scenes,
PR(26), No. 8, August 1993, pp. 1177-1191.
WWW Version. BibRef 9308

Dougherty, E.R., Newell, J.T., Pelz, J.B.,
Morphological Texture-Based Maximum-Likelihood Pixel Classification Based on Local Granulometric Moments,
PR(25), No. 10, October 1992, pp. 1181-1198.
WWW Version. BibRef 9210

Bonneh, Y., Reisfeld, D., and 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 Link 0403
See also Context-Free Attentional Operators: The Generalized Symmetry Transform. BibRef

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

Lee, J.H., and 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 Version. 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.
WWW Version. 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.
WWW Version. 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 Abstract. IEEE Top Reference.
WWW Version. 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.
WWW Version. 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.
HTML Version. 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.
HTML Version. 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. IEEE Top Reference. 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 Link 0609
True boundaries are edges between different classes. BibRef

Kaufhold, J.[John], Collins, R.[Roderic], Hoogs, A.[Anthony], Rondot, P.[Pascale],
Recognition and Segmentation of Scene Content using Region-Based Classification,
ICPR06(I: 755-760).
WWW Version. 0609
BibRef

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

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. IEEE Top Reference. 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.
WWW Version. 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.
WWW Version. 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.
WWW Version. 0411
BibRef
Earlier: A1, A2, A4, A3: ECCV02(IV: 793 ff.).
HTML Version. 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.
WWW Version. 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 Abstract. IEEE Top Reference. BibRef 0100
And: Color plates: CVPR01(I:1179-1180). 0110
BibRef
Earlier:
A Compact Model for Viewpoint Dependent Texture Synthesis,
SMILE00(124 ff.).
HTML Version. 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.).
HTML Version. 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 Link 0206
BibRef

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

Caenen, G.[Geert], Van Gool, L.J.[Luc J.],
Maximum Response Filters for Texture Analysis,
PercOrg04(58).
IEEE DOI Link 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. IEEE Top Reference. 0506
BibRef
Earlier:
A sparse texture representation using affine-invariant regions,
CVPR03(II: 319-324).
IEEE Abstract. IEEE Top Reference.
Postscript Version. 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 Link 0702
BibRef
Earlier: BP06(13).
IEEE DOI Link 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 Link 0604
See also Nonlinear Scale Space with Spatially Varying Stopping Time. 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 Link 0606
BibRef

Le Borgne, H., Gurin-Dugu, A., O'Connor, N.E.,
Learning Midlevel Image Features for Natural Scene and Texture Classification,
CirSysVideo(17), No. 3, March 2007, pp. 286-297.
IEEE DOI Link 0703
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.
WWW Version. 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 Link 0711
BibRef
Earlier: A1, A2, A4, A3, A5:
Detecting irregularities in regular patterns,
ICPR06(III: 926-929).
WWW Version. 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 Link 0904
BibRef
Earlier:
Combining Microscopic and Macroscopic Information for Rotation and Histogram Equalization Invariant Texture Classification,
ACCV06(I:100-109).
Springer DOI Link 0601
BibRef

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

Flint, A.[Alex], Reid, I.D.[Ian D.], Murray, D.W.[David W.],
Learning texton models for real-time scene context,
Egocentric09(41-48).
IEEE DOI Link 0906
BibRef

Battiato, S., Farinella, G.M., Gallo, G., Ravi, D.,
Scene categorization using bag of Textons on spatial hierarchy,
ICIP08(2536-2539).
IEEE DOI Link 0810
BibRef