7.10.7.1 Local Binary Patterns, LPB for Texture

Chapter Contents (Back)
LBP. Textures, Filters.
See also Gabor Filters -- General.

Guo, Z.H.[Zhen-Hua], Zhang, L.[Lei], Zhang, D.[David],
Rotation invariant texture classification using LBP variance (LBPV) with global matching,
PR(43), No. 3, March 2010, pp. 706-719.
Elsevier DOI 1001
BibRef
Earlier:
Rotation Invariant Texture Classification Using Binary Filter Response Pattern (BFRP),
CAIP09(1130-1137).
Springer DOI 0909
Texture classification; Local binary pattern; Rotation invariant; Global matching BibRef

Guo, Z.H.[Zhen-Hua], Zhang, L.[Lei], Zhang, D.[David], Zhang, S.[Su],
Rotation invariant texture classification using adaptive LBP with directional statistical features,
ICIP10(285-288).
IEEE DOI 1009
BibRef

Guo, Z.H.[Zhen-Hua], Zhang, L.[Lei], Zhang, D.[David], Mou, X.Q.[Xuan-Qin],
Hierarchical multiscale LBP for face and palmprint recognition,
ICIP10(4521-4524).
IEEE DOI 1009
BibRef

Zhang, L.[Lin], Zhang, L.[Lei], Guo, Z.H.[Zhen-Hua], Zhang, D.[David],
Monogenic-LBP: A new approach for rotation invariant texture classification,
ICIP10(2677-2680).
IEEE DOI 1009
BibRef

Guo, Z.H.[Zhen-Hua], Zhang, L.[Lei], Zhang, D.[David],
A Completed Modeling of Local Binary Pattern Operator for Texture Classification,
IP(19), No. 6, June 2010, pp. 1657-1663.
IEEE DOI 1006
BibRef

Bianconi, F.[Francesco], Fernández, A.[Antonio],
On the Occurrence Probability of Local Binary Patterns: A Theoretical Study,
JMIV(40), No. 3, July 2011, pp. 259-268.
WWW Link. 1103
BibRef

Fernández, A.[Antonio], Álvarez, M.X.[Marcos X.], Bianconi, F.[Francesco],
Texture Description Through Histograms of Equivalent Patterns,
JMIV(45), No. 1, January 2013, pp. 76-102.
WWW Link. 1301
BibRef

Qian, X.M.[Xue-Ming], Hua, X.S.[Xian-Sheng], Chen, P.[Ping], Ke, L.J.[Liang-Jun],
PLBP: An effective local binary patterns texture descriptor with pyramid representation,
PR(44), No. 10-11, October-November 2011, pp. 2502-2515.
Elsevier DOI 1101
Local binary pattern; Pyramid transform; Texture; Gaussian filter; Wavelet BibRef

Liu, L.[Li], Zhao, L.J.[Ling-Jun], Long, Y.L.[Yun-Li], Kuang, G.Y.[Gang-Yao], Fieguth, P.W.[Paul W.],
Extended local binary patterns for texture classification,
IVC(30), No. 2, February 2012, pp. 86-99.
Elsevier DOI 1204
Texture classification; Local binary pattern (LBP); Bag-of-words (BoW); Rotation invariance
See also Classification with color and texture: jointly or separately?. BibRef

Liu, L.[Li], Lao, S.Y.[Song-Yang], Fieguth, P.W.[Paul W.], Guo, Y., Wang, X., Pietikainen, M.[Matti],
Median Robust Extended Local Binary Pattern for Texture Classification,
IP(25), No. 3, March 2016, pp. 1368-1381.
IEEE DOI 1602
Benchmark testing BibRef
Earlier: A1, A3, A6, A2, Only: ICIP15(2319-2323)
IEEE DOI 1512
Feature extraction BibRef

Luo, Q.[Qiwu], Su, J.J.[Jiao-Jiao], Yang, C.H.[Chun-Hua], Silven, O.[Olli], Liu, L.[Li],
Scale-selective and noise-robust extended local binary pattern for texture classification,
PR(132), 2022, pp. 108901.
Elsevier DOI 2209
Local binary pattern (LBP), Texture descriptor, Feature extraction, Texture classification BibRef

Liu, L.[Li], Fieguth, P.W.[Paul W.], Zhao, G.Y.[Guo-Ying], Pietikainen, M.[Matti],
Extended local binary pattern fusion for face recognition,
ICIP14(718-722)
IEEE DOI 1502
Databases BibRef

Liu, L.[Li], Fieguth, P.W.[Paul W.], Kuang, G.Y.[Gang-Yao],
Generalized Local Binary Patterns for Texture Classification,
BMVC11(xx-yy).
HTML Version. 1110
BibRef
Earlier:
Compressed Sensing for Robust Texture Classification,
ACCV10(I: 383-396).
Springer DOI 1011
BibRef

Liu, L.[Li], Fieguth, P.W.[Paul W.],
Texture CLassification Using Compressed Sensing,
CRV10(71-78).
IEEE DOI 1005
BibRef

García-Olalla, O., Alegre, E., Fernández-Robles, L., García-Ordás, M.T., García-Ordás, D.,
Adaptive local binary pattern with oriented standard deviation (ALBPS) for texture classification,
JIVP(2013), No. 1, 2013, pp. xx-yy.
DOI Link 1306
BibRef

Kylberg, G.[Gustaf], Sintorn, I.M.[Ida-Maria],
Evaluation of noise robustness for local binary pattern descriptors in texture classification,
JIVP(2013), No. 1, 2013, pp. 17.
DOI Link 1305
BibRef
Earlier: A2, A1:
Regional Zernike moments for texture recognition,
ICPR12(1635-1638).
WWW Link. 1302
BibRef

Sayadi, M.[Mounir], Sakrani, S.[Samir], Fnaiech, F.[Farhat], Cheriet, M.[Mohamed],
Gray-level Texture Characterization Based on a New Adaptive Nonlinear Auto-Regressive Filter,
ELCVIA(7), No. 1, November 2008, pp. xx-yy.
DOI Link 0903
BibRef

Tlig, L.[Lotfi], Sayadi, M.[Mounir], Fnaiech, F.[Farhat],
A new fuzzy segmentation approach based on S-FCM type 2 using LBP-GCO features,
SP:IC(27), No. 6, July 2012, pp. 694-708.
Elsevier DOI 1205
BibRef
Earlier:
A new descriptor for textured image segmentation based on fuzzy type-2 clustering approach,
IPTA10(258-263).
IEEE DOI 1007
Texture segmentation; Gabor filter; Local binary pattern; Fuzzy clustering BibRef

Shrivastava, N.[Nishant], Tyagi, V.[Vipin],
An effective scheme for image texture classification based on binary local structure pattern,
VC(30), No. 11, November 2014, pp. 1223-1232.
Springer DOI 1411
LBP for textures. BibRef

Cote, M.[Melissa], Albu, A.B.[Alexandra Branzan],
Robust Texture Classification by Aggregating Pixel-Based LBP Statistics,
SPLetters(22), No. 11, November 2015, pp. 2102-2106.
IEEE DOI 1509
image classification BibRef

Cote, M.[Melissa], Albu, A.B.[Alexandra Branzan],
A Comparative Study of Sparseness Measures for Segmenting Textures,
CRV16(186-193)
IEEE DOI 1612
Gabor filters BibRef

Pan, Z.B.[Zhi-Bin], Fan, H.C.[Hong-Cheng], Zhang, L.[Li],
Texture Classification Using Local Pattern Based on Vector Quantization,
IP(24), No. 12, December 2015, pp. 5379-5388.
IEEE DOI 1512
binary codes BibRef

Hu, S.Q.[Shi-Qi], Pan, Z.B.[Zhi-Bin], Dong, J.[Jing], Ren, X.C.[Xin-Cheng],
A Novel Adaptively Binarizing Magnitude Vector Method in Local Binary Pattern Based Framework for Texture Classification,
SPLetters(29), 2022, pp. 852-856.
IEEE DOI 2204
Feature extraction, Databases, Standards, Robustness, Data mining, Correlation, Local binary pattern (LBP), texture classification BibRef

Hegenbart, S.[Sebastian], Uhl, A.[Andreas],
A scale- and orientation-adaptive extension of Local Binary Patterns for texture classification,
PR(48), No. 8, 2015, pp. 2633-2644.
Elsevier DOI 1505
BibRef
Earlier:
An Orientation-Adaptive Extension to Scale-Adaptive Local Binary Patterns,
ICPR14(1120-1125)
IEEE DOI 1412
LBP. Accuracy; Databases; Encoding; Estimation; Materials; Robustness; Standards BibRef

Gadermayr, M.[Michael], Hegenbart, S.[Sebastian], Uhl, A.[Andreas],
Scale-Adaptive Texture Classification,
ICPR14(2643-2648)
IEEE DOI 1412
Accuracy BibRef

Bianconi, F.[Francesco], González, E.[Elena], Fernández, A.[Antonio],
Dominant Local Binary Patterns for Texture Classification: Labelled or Unlabelled?,
PRL(65), No. 1, 2015, pp. 8-14.
Elsevier DOI 1511
Texture classification BibRef

Pardo-Balado, J.[Juan], Fernández, A.[Antonio], Bianconi, F.[Francesco],
Texture Classification Using Rotation Invariant LBP Based on Digital Polygons,
CMTR15(87-94).
Springer DOI 1511
BibRef

Song, K.[Kechen], Yan, Y.H.[Yun-Hui], Zhao, Y.J.[Yong-Jie], Liu, C.S.[Chang-Sheng],
Adjacent evaluation of local binary pattern for texture classification,
JVCIR(33), No. 1, 2015, pp. 323-339.
Elsevier DOI 1512
Adjacent evaluation BibRef

Lian, G.Y.[Guo-Yun],
Rotation invariant color texture classification using multiple sub-DLBPs,
JVCIR(31), No. 1, 2015, pp. 1-13.
Elsevier DOI 1508
Color texture classification BibRef

Guo, Z., Wang, X., Zhou, J., You, J.,
Robust Texture Image Representation by Scale Selective Local Binary Patterns,
IP(25), No. 2, February 2016, pp. 687-699.
IEEE DOI 1601
Databases BibRef

Li, Y., Tan, J., Zhong, J., Chen, Q.,
Compact descriptor for local feature using dominating centre-symmetric local binary pattern,
IET-CV(10), No. 1, 2016, pp. 36-42.
DOI Link 1601
image matching BibRef

Mehta, R.[Rakesh], Egiazarian, K.O.[Karen O.],
Dominant Rotated Local Binary Patterns (DRLBP) for texture classification,
PRL(71), No. 1, 2016, pp. 16-22.
Elsevier DOI 1602
Texture Classification BibRef

Nguyen, T.P.[Thanh Phuong], Manzanera, A.[Antoine], Kropatsch, W.G.[Walter G.], Nguyen, X.S.[Xuan Son],
Topological Attribute Patterns for texture recognition,
PRL(80), No. 1, 2016, pp. 91-97.
Elsevier DOI 1609
BibRef
Earlier: A1, A2, A3, Only:
Impact of Topology-Related Attributes from Local Binary Patterns on Texture Classification,
CVLBP14(80-93).
Springer DOI 1504
Mapping BibRef

Liu, L.[Li], Fieguth, P.W.[Paul W.], Guo, Y.L.[Yu-Lan], Wang, X.G.[Xiao-Gang], Pietikäinen, M.[Matti],
Local binary features for texture classification: Taxonomy and experimental study,
PR(62), No. 1, 2017, pp. 135-160.
Elsevier DOI 1609
Texture classification BibRef

Amirolad, A.[Ahmad], Arashloo, S.R.[Shervin Rahimzadeh], Amirani, M.C.[Mehdi Chehel],
Multi-layer local energy patterns for texture representation and classification,
VC(32), No. 12, December 2016, pp. 1633-1644.
Springer DOI 1611
BibRef

Pan, Z., Wu, X., Li, Z., Zhou, Z.,
Local Adaptive Binary Patterns Using Diamond Sampling Structure for Texture Classification,
SPLetters(24), No. 6, June 2017, pp. 828-832.
IEEE DOI 1705
Complexity theory, Databases, Diamond, Feature extraction, Noise robustness, Quantization (signal), Robustness, Diamond sampling structure, local adaptive threshold, local binary pattern (LBP), low complexity, texture, classification BibRef

Wang, Q., Li, B., Chen, X., Luo, J., Hou, Y.,
Random Sampling Local Binary Pattern Encoding Based on Gaussian Distribution,
SPLetters(24), No. 9, September 2017, pp. 1358-1362.
IEEE DOI 1708
Databases, Encoding, Face recognition, Gaussian distribution, Image coding, Sampling methods, Signal processing algorithms, local binary pattern (LBP), random point pair. BibRef

Singh, C.[Chandan], Walia, E.[Ekta], Kaur, K.P.[Kanwal Preet],
Color texture description with novel local binary patterns for effective image retrieval,
PR(76), No. 1, 2018, pp. 50-68.
Elsevier DOI 1801
Local binary pattern (LBP) BibRef

El Merabet, Y., Ruichek, Y.,
Local Concave-and-Convex Micro-Structure Patterns for texture classification,
PR(76), No. 1, 2018, pp. 303-322.
Elsevier DOI 1801
LBP BibRef

Kazak, N.[Nihan], Koc, M.[Mehmet],
Some variants of spiral LBP in texture recognition,
IET-IPR(12), No. 8, August 2018, pp. 1388-1393.
DOI Link 1808
BibRef

Hu, M.C.[Min-Chun], Ng, K.S.[Kiat Siong], Chen, P.Y.[Pei-Yin], Hsiao, Y.J.[Yu-Jung], Li, C.H.[Cheng-Hsien],
Local Binary Pattern Circuit Generator With Adjustable Parameters for Feature Extraction,
ITS(19), No. 8, August 2018, pp. 2582-2591.
IEEE DOI 1808
Feature extraction, Hardware, Computer architecture, Throughput, Binary codes, Object detection, Histograms, object classification BibRef

Shahriar, M., Ahsan, T.[Tanveer], Chong, U.P.[Ui-Pil],
Fault diagnosis of induction motors utilizing local binary pattern-based texture analysis,
JIVP(2013), No. 1, 2013, pp. xx-yy.
DOI Link 1306
BibRef

Kou, Q., Cheng, D., Zhuang, H., Gao, R.,
Cross-Complementary Local Binary Pattern for Robust Texture Classification,
SPLetters(26), No. 1, January 2019, pp. 129-133.
IEEE DOI 1901
feature extraction, image classification, image coding, image representation, image resolution, image texture, principal curvatures BibRef

Xiao, B., Wang, K., Bi, X., Li, W., Han, J.,
2D-LBP: An Enhanced Local Binary Feature for Texture Image Classification,
CirSysVideo(29), No. 9, September 2019, pp. 2796-2808.
IEEE DOI 1909
Histograms, Encoding, Face recognition, Feature extraction, Topology, Robustness, Local binary pattern, texture image classification BibRef

El Khadiri, I., El Merabet, Y., Ruichek, Y., Chetverikov, D., Touahni, R.,
O3S-MTP: Oriented star sampling structure based multi-scale ternary pattern for texture classification,
SP:IC(84), 2020, pp. 115830.
Elsevier DOI 2004
Texture operator. Oriented star sampling structure based multi-scale ternary pattern, LBP BibRef

Tabatabaei, S.M.[Sayed Mohamad], Chalechale, A.[Abdolah],
Noise-tolerant texture feature extraction through directional thresholded local binary pattern,
VC(36), No. 5, May 2020, pp. 967-987.
WWW Link. 2005
BibRef

Shu, X.[Xin], Pan, H.[Hui], Shi, J.L.[Jin-Long], Song, X.N.[Xiao-Ning], Wu, X.J.[Xiao-Jun],
Using global information to refine local patterns for texture representation and classification,
PR(131), 2022, pp. 108843.
Elsevier DOI 2208
Texture classification, Texture descriptor, Texture representation, Feature pattern refinement, Local binary pattern BibRef

Fardo, F.A.[Fernando Azevedo], Rodrigues, P.S.S.[Paulo Sérgio Silva],
A Sparse Local Binary Pattern extraction algorithm applied to event sensor data for object classification,
PR(146), 2024, pp. 110004.
Elsevier DOI 2311
Sparse, LBP, Events BibRef


Saidi, I.A.[Ibtissam Al], Rziza, M.[Mohammed], Debayle, J.[Johan],
A New Texture Descriptor: The Homogeneous Local Binary Pattern (HLBP),
ICISP20(308-316).
Springer DOI 2009
BibRef

Song, T., Luo, L., Gao, C., Zhang, G.,
Texture Representation Using Local Binary Encoding Across Scales, Frequency Bands and Image Domains,
ICIP19(4405-4409)
IEEE DOI 1910
Texture classification, local binary pattern (LBP), feature extraction, texture representation BibRef

Tortorici, C., Werghi, N., Berretti, S.,
Extending LBP and Convolution-Like Operations on the Mesh,
ICIP19(4479-4483)
IEEE DOI 1910
Relief patterns, mesh convolution, LBP BibRef

Jawad, M., Aziz, F., Hancock, E.R.,
Local Binary Patterns for Graph Characterization,
ICPR18(1241-1246)
IEEE DOI 1812
Galois fields, Image edge detection, Shape, Pattern recognition, BibRef

de Marsico, M.[Maria], Riccio, D.[Daniel],
Weighty LBP: A New Selection Strategy of LBP Codes Depending on Their Information Content,
CIAP17(I:424-434).
Springer DOI 1711
BibRef

Negri, P.[Pablo],
Extended LBP Operator to Characterize Event-Address Representation Connectivity,
CIARP16(241-248).
Springer DOI 1703
BibRef

Li, X., Plataniotis, K.N.,
Color texture representation using circular-processing based Hue-LBP for histo-pathology image analysis,
ICIP16(3573-3577)
IEEE DOI 1610
Algorithm design and analysis. BibRef

Lin, Q.Y.[Qiu-Yan], Qi, W.[Wenfa],
Multi-scale local binary patterns based on path integral for texture classification,
ICIP15(26-30)
IEEE DOI 1512
Texture classification BibRef

Gadermayr, M.[Michael], Uhl, A.[Andreas],
How to exploit large image data in the fields of texture classification: A case study with local binary patterns,
ICIP15(2515-2519)
IEEE DOI 1512
BibRef

Qi, X.B.[Xian-Biao], Qiao, Y.[Yu], Li, C.G.[Chun-Guang], Guo, J.[Jun],
Multi-scale Joint Encoding of Local Binary Patterns for Texture and Material Classification,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Porebski, A., Vandenbroucke, N., Hamad, D.,
LBP histogram selection for supervised color texture classification,
ICIP13(3239-3243)
IEEE DOI 1402
Color texture BibRef

Werghi, N.[Naoufel], Berretti, S.[Stefano], del Bimbo, A.[Alberto],
Computing Local Binary Patterns on Discrete Manifolds,
ICPR14(2430-2435)
IEEE DOI 1412
Histograms BibRef

Werghi, N.[Naoufel], Berretti, S.[Stefano], del Bimbo, A.[Alberto], Pala, P.,
The Mesh-LBP: Computing Local Binary Patterns on Discrete Manifolds,
3DRR13(562-569)
IEEE DOI 1403
image texture BibRef

Doshi, N.P.[Niraj P.], Schaefer, G.[Gerald],
A comprehensive benchmark of local binary pattern algorithms for texture retrieval,
ICPR12(2760-2763).
WWW Link. 1302
BibRef
And: A2, A1:
Multi-Dimensional Local Binary Pattern Descriptors for Improved Texture Analysis,
ICPR12(2500-2503).
WWW Link. 1302
BibRef
And: A1, A2:
A comparative analysis of local binary pattern texture classification,
VCIP12(1-6).
IEEE DOI 1302
BibRef

Pan, J.J.[Jian-Jia], Tang, Y.Y.[Yuan-Yan],
Texture Classification Based on BIMF Monogenic Signals,
ACCV12(II:177-187).
Springer DOI 1304
BibRef
Earlier:
Texture Analysis Based on Saddle Points-Based BEMD and LBP,
CAIP11(II: 506-514).
Springer DOI 1109
BibRef

Xiao, J.W.[Jin-Wei], Wu, G.S.[Gang-Shan],
A Robust and Compact Descriptor Based on Center-Symmetric LBP,
ICIG11(388-393).
IEEE DOI 1109
local binary pattern for texture. BibRef

Sadat, R.M.N.[Rafi M. Najmus], Teng, S.W.[Shyh Wei], Lu, G.J.[Guo-Jun], Hasan, S.F.[Sheikh Faridul],
Texture classification using multimodal Invariant Local Binary Pattern,
WACV11(315-320).
IEEE DOI 1101
BibRef

He, Y.G.[Yong-Gang], Sang, N.[Nong], Huang, R.[Rui],
Local Binary Pattern histogram based Texton learning for texture classification,
ICIP11(841-844).
IEEE DOI 1201
BibRef

He, Y.G.[Yong-Gang], Sang, N.[Nong], Gao, C.X.[Chang-Xin],
Pyramid-Based Multi-structure Local Binary Pattern for Texture Classification,
ACCV10(III: 133-144).
Springer DOI 1011
BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Wavelets, Gabor Filters for Texture .


Last update:Mar 16, 2024 at 20:36:19