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BibRef
Earlier:
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Springer DOI
0909
Texture classification; Local binary pattern; Rotation invariant;
Global matching
BibRef
Guo, Z.H.[Zhen-Hua],
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Zhang, S.[Su],
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directional statistical features,
ICIP10(285-288).
IEEE DOI
1009
BibRef
Guo, Z.H.[Zhen-Hua],
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IEEE DOI
1009
BibRef
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Guo, Z.H.[Zhen-Hua],
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ICIP10(2677-2680).
IEEE DOI
1009
BibRef
Guo, Z.H.[Zhen-Hua],
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Zhang, D.[David],
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IP(19), No. 6, June 2010, pp. 1657-1663.
IEEE DOI
1006
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Bianconi, F.[Francesco],
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Fernández, A.[Antonio],
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PR(44), No. 10-11, October-November 2011, pp. 2502-2515.
Elsevier DOI
1101
Local binary pattern; Pyramid transform; Texture; Gaussian filter; Wavelet
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Liu, L.[Li],
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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.,
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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
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Luo, Q.[Qiwu],
Su, J.J.[Jiao-Jiao],
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Local binary pattern (LBP), Texture descriptor,
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Pietikainen, M.[Matti],
Extended local binary pattern fusion for face recognition,
ICIP14(718-722)
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1502
Databases
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BMVC11(xx-yy).
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1110
BibRef
Earlier:
Compressed Sensing for Robust Texture Classification,
ACCV10(I: 383-396).
Springer DOI
1011
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Liu, L.[Li],
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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
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Evaluation of noise robustness for local binary pattern descriptors in
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1305
BibRef
Earlier: A2, A1:
Regional Zernike moments for texture recognition,
ICPR12(1635-1638).
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Sayadi, M.[Mounir],
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Tlig, L.[Lotfi],
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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
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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
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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
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,
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
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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 .