Attractive-and-repulsive center-symmetric local binary patterns for texture classification
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In marine domain [158], a challenge arises from constrained availability of labeled data for supervised approaches, leading to potential oversight in detecting certain abnormalities.
“In the context of detecting anomalies in the marine domain [158], a challenge arises from the constrained availability of labeled data for supervised approaches, leading to potential oversight in detecting certain abnormalities.”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [158]
Cites
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398 · see citing works
A comparative study of texture measures with classification based on featured distributions
Ojala, T., Pietikäinen, M., & Harwood, D. (1996) · Pattern Recognition · doi:10.1016/0031-3203(95)00067-4 · Cited by 6,882 · see citing works
Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
Tan, X., & Triggs, B. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2042645 · Cited by 2,872 · see citing works
A Completed Modeling of Local Binary Pattern Operator for Texture Classification
Guo, Z., Lei Zhang, A., & Zhang, D. D. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2044957 · Cited by 2,116 · see citing works
PCANet: A Simple Deep Learning Baseline for Image Classification?
Chan, T.-H., Jia, K., Gao, S., Lu, J., Zeng, Z., & Ma, Y. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2475625 · Cited by 1,598 · see citing works
A texture-based method for modeling the background and detecting moving objects
Heikkilä, M., & Pietikäinen, M. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.68 · Cited by 1,249 · see citing works
Description of interest regions with local binary patterns
Heikkilä, M., Pietikäinen, M., & Schmid, C. (2008) · Pattern Recognition · doi:10.1016/j.patcog.2008.08.014 · Cited by 1,213 · see citing works
Blur Insensitive Texture Classification Using Local Phase Quantization
Ojansivu, V., & Heikkilä, J. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-69905-7_27 · Cited by 1,043 · see citing works
International Conference on Pattern Recognition
(1971) · Computer · doi:10.1109/c-m.1971.216793 · Cited by 814 · see citing works
Rotation invariant texture classification using LBP variance (LBPV) with global matching
Guo, Z., Lei Zhang, A., & Zhang, D. D. (2009) · Pattern Recognition · doi:10.1016/j.patcog.2009.08.017 · Cited by 800 · see citing works
Dominant Local Binary Patterns for Texture Classification
Liao, S., Law, M. W. K., & Chung, A. C. S. (2009) · IEEE Transactions on Image Processing · doi:10.1109/tip.2009.2015682 · Cited by 787 · see citing works
A Statistical Approach to Material Classification Using Image Patch Exemplars
Varma, M., & Zisserman, A. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.182 · Cited by 607 · see citing works
2018 25th IEEE International Conference on Image Processing (ICIP)
(2018) · doi:10.1109/icip34834.2018 · Cited by 596 · see citing works
Local Directional Number Pattern for Face Analysis: Face and Expression Recognition
Rivera, A. R., Castillo, J. R., & Chae, O. (2012) · IEEE Transactions on Image Processing · doi:10.1109/tip.2012.2235848 · Cited by 512 · see citing works
Local binary patterns variants as texture descriptors for medical image analysis
Nanni, L., Lumini, A., & Brahnam, S. (2010) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2010.02.006 · Cited by 506 · see citing works
Robust Face Recognition via Multimodal Deep Face Representation
Ding, C., & Tao, D. (2015) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2015.2477042 · Cited by 449 · see citing works
Median Robust Extended Local Binary Pattern for Texture Classification
Liu, L., Lao, S., Fieguth, P., Guo, Y., Wang, X., & Pietikäinen, M. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2522378 · Cited by 432 · see citing works
Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features
Ahonen, T., Matas, J., He, C., & Pietikäinen, M. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02230-2_7 · Cited by 417 · see citing works
Learning Compact Binary Face Descriptor for Face Recognition
Lu, J., Liong, V. E., Zhou, X., & Zhou, J. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2408359 · Cited by 399 · see citing works
Liao, S., Zhao, G., Kellokumpu, V., Pietikäinen, M., & Li, S. Z. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539817 · Cited by 384 · see citing works
Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition
Ding, C., Choi, J., Tao, D., & Davis, L. S. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2462338 · Cited by 383 · see citing works
Description of Interest Regions with Center-Symmetric Local Binary Patterns
Heikkilä, M., Pietikäinen, M., & Schmid, C. (2006) · Lecture notes in computer science · doi:10.1007/11949619_6 · Cited by 349 · see citing works
A Model-Based Method for Rotation Invariant Texture Classification
Kashyap, R. L., & Khotanzad, A. R. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767811 · Cited by 347 · see citing works
Extended local binary patterns for texture classification
Liu, L., Zhao, L., Long, Y., Kuang, G., & Fieguth, P. (2012) · Image and Vision Computing · doi:10.1016/j.imavis.2012.01.001 · Cited by 343 · see citing works
Hu, G., Yang, Y., Yi, D., Kittler, J., Christmas, W. J., Li, S. Z., & Hospedales, T. M. (2015) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2015.58 · Cited by 337 · see citing works
Classification of rotated and scaled textured images using Gaussian Markov random field models
Cohen, F. S., Fan, Z., & Patel, M. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.67648 · Cited by 299 · see citing works
Viewpoint Invariant Texture Description Using Fractal Analysis
Xu, Y., Ji, H., & Fermuller, C. M. (2009) · International Journal of Computer Vision · doi:10.1007/s11263-009-0220-6 · Cited by 294 · see citing works
Multimedia Tools and Applications
Azasoo, J. Q. (2018) · Cited by 219 · see citing works
Local maximum edge binary patterns: A new descriptor for image retrieval and object tracking
Subrahmanyam, M. V. V. S., Maheshwari, R. P., & Raman, B. (2011) · Signal Processing · doi:10.1016/j.sigpro.2011.12.005 · Cited by 200 · see citing works
Multichannel Decoded Local Binary Patterns for Content-Based Image Retrieval
Dubey, S. R., Singh, S. K., & Singh, R. K. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2577887 · Cited by 191 · see citing works
Dominant Rotated Local Binary Patterns (DRLBP) for texture classification
Mehta, R., & Egiazarian, K. (2015) · Pattern Recognition Letters · doi:10.1016/j.patrec.2015.11.019 · Cited by 189 · see citing works
Color texture analysis based on fractal descriptors
Backes, A. R., Casanova, D., & Bruno, O. M. (2011) · Pattern Recognition · doi:10.1016/j.patcog.2011.11.009 · Cited by 181 · see citing works
Local Wavelet Pattern: A New Feature Descriptor for Image Retrieval in Medical CT Databases
Dubey, S. R., Singh, S. K., & Singh, R. K. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2493446 · Cited by 163 · see citing works
Median Binary Pattern for Textures Classification
Hafiane, A., Seetharaman, G. S., & Zavidovique, B. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74260-9_35 · Cited by 161 · see citing works
Verma, M., & Raman, B. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-4834-3 · Cited by 153 · see citing works
Local Directional Ternary Pattern for Facial Expression Recognition
Ryu, B., Rivera, A. R., Kim, J., & Chae, O. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2726010 · Cited by 150 · see citing works
An eXtended Center-Symmetric Local Binary Pattern for Background Modeling and Subtraction in Videos
Silva, C., Bouwmans, T., & Frélicot, C. (2015) · International Conference on Computer Vision Theory and Applications · doi:10.5220/0005266303950402 · Cited by 142 · see citing works
18th British Machine Vision Conference
Gee, A., Chekhlov, D., Mayol-Cuevas, W. W., & Calway, A. D. (2007) · Cited by 132 · see citing works
DeepWriterID: An End-to-End Online Text-Independent Writer Identification System
Yang, W., Jin, L., & Liu, M. (2016) · IEEE Intelligent Systems · doi:10.1109/mis.2016.22 · Cited by 130 · see citing works
Texture Description Through Histograms of Equivalent Patterns
Fernández, A., Álvarez, M. X., & Bianconi, F. (2013) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-012-0349-8 · Cited by 128 · see citing works
Local Deep Neural Networks for gender recognition
Mansanet, J., Albiol, A., & Paredes, R. (2015) · Pattern Recognition Letters · doi:10.1016/j.patrec.2015.11.015 · Cited by 128 · see citing works
Texture Classification Using Dominant Neighborhood Structure
Khellah, F. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2143422 · Cited by 126 · see citing works
Local Bit-Plane Decoded Pattern: A Novel Feature Descriptor for Biomedical Image Retrieval
Dubey, S. R., Singh, S. K., & Singh, R. K. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2015.2437396 · Cited by 126 · see citing works
Local Diagonal Extrema Pattern: A New and Efficient Feature Descriptor for CT Image Retrieval
Dubey, S. R., Singh, S. K., & Singh, R. K. (2015) · IEEE Signal Processing Letters · doi:10.1109/lsp.2015.2392623 · Cited by 123 · see citing works
Combining LBP Difference and Feature Correlation for Texture Description
Hong, X., Zhao, G., Pietikäinen, M., & Chen, X. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2316640 · Cited by 120 · see citing works
Noise tolerant local binary pattern operator for efficient texture analysis
Fathi, A., & Naghsh‐Nilchi, A. R. (2012) · Pattern Recognition Letters · doi:10.1016/j.patrec.2012.01.017 · Cited by 120 · see citing works
Combining Statistics of Geometrical and Correlative Features for 3D Face Recognition
Huang, Y., Wang, Y., & Tan, T. (2006) · British Machine Vision Conference (BMVC) · doi:10.5244/c.20.90 · Cited by 116 · see citing works
Local Directional Texture Pattern image descriptor
Rivera, A. R., Castillo, J. R., & Chae, O. (2014) · Pattern Recognition Letters · doi:10.1016/j.patrec.2014.08.012 · Cited by 116 · see citing works
Scale-space texture description on SIFT-like textons
Xu, Y., Huang, S., Ji, H., & Fermuller, C. M. (2012) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2012.05.003 · Cited by 113 · see citing works
Polarograms: A new tool for image texture analysis
Davis, L. S. (1981) · Pattern Recognition · doi:10.1016/0031-3203(81)90098-4 · Cited by 99 · see citing works
Local directional ternary pattern: A New texture descriptor for texture classification
Khadiri, I. E., Chahi, A., Merabet, Y. E., Ruichek, Y., & Touahni, R. (2018) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2018.01.004 · Cited by 99 · see citing works
Self-citationAn adaptive hybrid pattern for noise-robust texture analysis
Zhu, Z., You, X., Chen, C. L. P., Tao, D., Ou, W., Jiang, X., & Zou, J. (2015) · Pattern Recognition · doi:10.1016/j.patcog.2015.01.001 · Cited by 88 · see citing works
Centralized Binary Patterns Embedded with Image Euclidean Distance for Facial Expression Recognition
Fu, X., & Wei, W. (2008) · International Conference on Natural Computation (ICNC) · doi:10.1109/icnc.2008.94 · Cited by 87 · see citing works
Local directional gradient pattern: a local descriptor for face recognition
Chakraborty, S., Singh, S. K., & Chakraborty, P. (2015) · Multimedia Tools and Applications · doi:10.1007/s11042-015-3111-6 · Cited by 81 · see citing works
Two novel local binary pattern descriptors for texture analysis
Kaya, Y., Ertuğrul, Ö. F., & Teki̇n, R. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2015.06.009 · Cited by 80 · see citing works
Local Concave-and-Convex Micro-Structure Patterns for texture classification
Merabet, Y. E., & Ruichek, Y. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.11.005 · Cited by 71 · see citing works
Self-citationTopologically invariant texture descriptors
Eichmann, G., & Kasparis, T. (1988) · Computer Vision Graphics and Image Processing · doi:10.1016/0734-189x(88)90102-8 · Cited by 70 · see citing works
Evaluating color texture descriptors under large variations of controlled lighting conditions
Cusano, C., Napoletano, P., & Schettini, R. (2015) · Journal of the Optical Society of America A · doi:10.1364/josaa.33.000017 · Cited by 67 · see citing works
Down syndrome recognition using local binary patterns and statistical evaluation of the system
Kurt, B., & Vasif, N. V. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.01.076 · Cited by 67 · see citing works
Image classification with binary gradient contours
Fernández, A., Álvarez, M. X., & Bianconi, F. (2011) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2011.05.003 · Cited by 66 · see citing works
DCTNet: A simple learning-free approach for face recognition
Ng, C. J., & Teoh, A. B. J. (2015) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipa.2015.7415375 · Cited by 61 · see citing works
Local quadruple pattern: A novel descriptor for facial image recognition and retrieval
Chakraborty, S., Singh, S. K., & Chakraborty, P. (2017) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2017.06.013 · Cited by 60 · see citing works
Adjacent evaluation of local binary pattern for texture classification
Song, K., Yan, Y., Zhao, Y., & Liu, C. (2015) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2015.09.016 · Cited by 59 · see citing works
An application of chain code-based local descriptor and its extension to face recognition
Karczmarek, P., Kiersztyn, A., Pedrycz, W., & Dolecki, M. (2016) · Pattern Recognition · doi:10.1016/j.patcog.2016.12.008 · Cited by 59 · see citing works
Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition
Ren, C.-X., Lei, Z., Dai, D., & Li, S. Z. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2484356 · Cited by 58 · see citing works
Local diagonal extrema number pattern: A new feature descriptor for face recognition
Pillai, A., Soundrapandiyan, R., Satapathy, S., Satapathy, S. C., Jung, K., & Rajakumar, K. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.09.055 · Cited by 57 · see citing works
Khadiri, I. E., Kas, M., Merabet, Y. E., Ruichek, Y., & Touahni, R. (2018) · Information Sciences · doi:10.1016/j.ins.2018.02.009 · Cited by 54 · see citing works
Self-citationLocal Gabor maximum edge position octal patterns for image retrieval
Vipparthi, S. K., Murala, S., Nagar, S. K., & Gonde, A. B. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.04.062 · Cited by 50 · see citing works
Faraji, M. R., & Qi, X. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.01.094 · Cited by 50 · see citing works
Improved gradient local ternary patterns for facial expression recognition
Holder, R. P., & Tapamo, J. (2017) · EURASIP Journal on Image and Video Processing · doi:10.1186/s13640-017-0190-5 · Cited by 49 · see citing works
Pyramid multi-level features for facial demographic estimation
Bekhouche, S. E., Ouafi, A., Dornaika, F., Ahmed, A. T., & Hadid, A. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.03.030 · Cited by 48 · see citing works
Robust face recognition with structural binary gradient patterns
Huang, W., & Yin, H. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.03.010 · Cited by 47 · see citing works
Robust local features for remote face recognition
Chen, J., Patel, V. M., Liu, L., Kellokumpu, V., Zhao, G., Pietikäinen, M., & Chellappa, R. (2017) · Image and Vision Computing · doi:10.1016/j.imavis.2017.05.006 · Cited by 47 · see citing works
Local directional relation pattern for unconstrained and robust face retrieval
Dubey, S. R. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-07908-3 · Cited by 47 · see citing works
Duvernoy, J. (1984) · Applied Optics · doi:10.1364/ao.23.000828 · Cited by 45 · see citing works
Centre symmetric quadruple pattern: A novel descriptor for facial image recognition and retrieval
Chakraborty, S., Singh, S. K., & Chakraborty, P. (2017) · Pattern Recognition Letters · doi:10.1016/j.patrec.2017.10.015 · Cited by 44 · see citing works
Texture classification via extended local graph structure
Bashier, H. K., Hoe, L. S., Hui, L. T., Azli, M. F., Han, P. Y., Kwee, W. K., & Sayeed, M. S. (2015) · Optik · doi:10.1016/j.ijleo.2015.10.096 · Cited by 39 · see citing works
Hu, G., Yang, Y., Yi, D., et al. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1504.02351 · Cited by 39 · see citing works
Robust rotation invariant texture classification
Porter, R. P., & Canagarajah, N. C. (1997) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1997.595462 · Cited by 37 · see citing works
Efficient Image Appearance Description Using Dense Sampling Based Local Binary Patterns
Ylioinas, J., Hadid, A., Guo, Y., & Pietikäinen, M. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-37431-9_29 · Cited by 36 · see citing works
Local Oriented Statistics Information Booster (LOSIB) for Texture Classification
García-Olalla, Ó., Alegre, E., Fernández-Robles, L., & González‐Castro, V. (2014) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2014.201 · Cited by 36 · see citing works
Quad binary pattern and its application in mean-shift tracking
Zeng, H., Chen, J., Cui, X., Cai, C., & Ma, K. (2016) · Neurocomputing · doi:10.1016/j.neucom.2015.11.130 · Cited by 35 · see citing works
Face retrieval using frequency decoded local descriptor
Dubey, S. R. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-7028-8 · Cited by 35 · see citing works
Scale and rotation invariant texture analysis based on structural property
Goyal, R. K., Goh, W. L., Mital, D. P., & Chan, K. L. (2002) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon.1995.483983 · Cited by 26 · see citing works
Local extreme complete trio pattern for multimedia image retrieval system
Vipparthi, S. K., & Nagar, S. K. (2016) · Machine Intelligence Research · doi:10.1007/s11633-016-0978-2 · Cited by 26 · see citing works
Alata, O., Cariou, C., Ramananjarasoa, C., & Najim, M. (2002) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.1998.723414 · Cited by 24 · see citing works
2013 International Conference on Cyberworlds
(2013) · doi:10.1109/cw32615.2013 · Cited by 23 · see citing works
Robust Illumination Invariant Texture Classification Using Gradient Local Binary Patterns
He, Y., & Sang, N. (2011) · International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping (M2RSM) · doi:10.1109/m2rsm.2011.5697422 · Cited by 21 · see citing works
Nanni, L., Lumini, A., & Brahnam, S. (2017) · Applied Soft Computing · doi:10.1016/j.asoc.2017.07.057 · Cited by 21 · see citing works
An Effective Texture Spectrum Descriptor
Wu, X., & Sun, J. (2009) · International Conference on Information Assurance and Security (IAS) · doi:10.1109/ias.2009.126 · Cited by 20 · see citing works
A New Finger Vein Recognition Method Based on the Difference Symmetric Local Graph Structure (DSLGS)
Song, D. H., Yang, J., Wang, C., Chen, Y., & Sun, D. (2015) · International Journal of Signal Processing Image Processing and Pattern Recognition · doi:10.14257/ijsip.2015.8.10.08 · Cited by 20 · see citing works
A Robust Method for Local Image Feature Region Description
Zhi, M. (2011) · Acta Automatica Sinica · Cited by 18 · see citing works
Rotation and gray-scale transform invariant texture recognition using hidden Markov model
Chen, J.-L., & Kundu, A. (1992) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1992.226274 · Cited by 17 · see citing works
Yadav, A. R., Anand, R. S., Dewal, M. L., & Gupta, S. (2017) · Wood Science and Technology · doi:10.1007/s00226-017-0902-0 · Cited by 11 · see citing works
Effective Feature Description Using Intensity Order Local Binary Pattern
Nguyen, T.-N., Le, B. H., & Miyata, K. (2013) · International Conference on Cyberworlds (CW) · doi:10.1109/cw.2013.9 · Cited by 4 · see citing works
Flagged first, then by citations
3 of the 99 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
C-CNN: Contourlet Convolutional Neural Networks
Liu, M., Jiao, L., Liu, X., Li, L., Liu, F., & Yang, S. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3007412 · Cited by 195 · see citing works
Moradmand, H., Aghamiri, S. M. R., & Ghaderi, R. (2020) · Journal of Applied Clinical Medical Physics · doi:10.1002/acm2.12795 · Cited by 173 · see citing works
A Survey of Video Surveillance Systems in Smart City
Myagmar-Ochir, Y., & Kim, W. (2023) · Electronics · doi:10.3390/electronics12173567 · Cited by 134 · see citing works
Nguyen, H., & Hoang, N. (2022) · Automation in Construction · doi:10.1016/j.autcon.2022.104371 · Cited by 58 · see citing works
Multi-Resolution Intrinsic Texture Geometry-Based Local Binary Pattern for Texture Classification
Alpaslan, N., & Hanbay, K. (2020) · IEEE Access · doi:10.1109/access.2020.2981720 · Cited by 45 · see citing works
Kas, M., Merabet, Y. E., Ruichek, Y., & Messoussi, R. (2020) · Information Sciences · doi:10.1016/j.ins.2020.10.065 · Cited by 45 · see citing works
Self-citationHoang, N., Huynh, T., Tran, X.-L., & Tran, V.-D. (2022) · Advances in Civil Engineering · doi:10.1155/2022/9193511 · Cited by 44 · see citing works
Genetic programming-based fusion of HOG and LBP features for fully automated texture classification
Hazgui, M., Ghazouani, H., & Barhoumi, W. (2021) · The Visual Computer · doi:10.1007/s00371-020-02028-8 · Cited by 44 · see citing works
Hoang, N., Huynh, T., & Tran, V.-D. (2021) · Complexity · doi:10.1155/2021/3511375 · Cited by 42 · see citing works
Mengiste, E., Mannem, K. R., Prieto, S. A., & Garcia de Soto, B. (2024) · Journal of Computing in Civil Engineering · doi:10.1061/jccee5.cpeng-5478 · Cited by 35 · see citing works
Deep Learning and Handcrafted Features for Virus Image Classification
Nanni, L., Luca, E. D., Facin, M. L., & Maguolo, G. (2020) · Journal of Imaging · doi:10.3390/jimaging6120143 · Cited by 34 · see citing works
Robust local binary pattern for face recognition in different challenges
Karanwal, S. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13006-8 · Cited by 32 · see citing works
Hoang, N., & Tran, V.-D. (2022) · Measurement · doi:10.1016/j.measurement.2022.111207 · Cited by 31 · see citing works
Multi-Scale Shape Index-Based Local Binary Patterns for Texture Classification
Alpaslan, N., & Hanbay, K. (2020) · IEEE Signal Processing Letters · doi:10.1109/lsp.2020.2987474 · Cited by 30 · see citing works
Kas, M., Merabet, Y. E., Ruichek, Y., & Messoussi, R. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-08049-3 · Cited by 29 · see citing works
Self-citationHu, M. Q., Yang, C., Zheng, Y., Wang, X., He, L., & Ren, F. (2019) · IEEE Access · doi:10.1109/access.2019.2936976 · Cited by 29 · see citing works
Nasir, I. M., Rashid, M., Shah, J. H., Sharif, M., Awan, M. Y. H., & Alkinani, M. H. (2020) · Current Medical Imaging Formerly Current Medical Imaging Reviews · doi:10.2174/1573405616666200423085826 · Cited by 27 · see citing works
Genetic programming-based learning of texture classification descriptors from Local Edge Signature
Ghazouani, H., & Barhoumi, W. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113667 · Cited by 27 · see citing works
A compact multi-pattern encoding descriptor for texture classification
Xu, X., Li, Y., & Wu, Q. M. J. (2021) · Digital Signal Processing · doi:10.1016/j.dsp.2021.103081 · Cited by 27 · see citing works
Scale-selective and noise-robust extended local binary pattern for texture classification
Luo, Q., Su, J., Yang, C., Sílven, O., & Liu, L. (2022) · Pattern Recognition · doi:10.1016/j.patcog.2022.108901 · Cited by 27 · see citing works
Palmprint recognition using state‐of‐the‐art local texture descriptors: a comparative study
Idrissi, A. E., Merabet, Y. E., & Ruichek, Y. (2020) · IET Biometrics · doi:10.1049/iet-bmt.2019.0103 · Cited by 26 · see citing works
Self-citationHoang, N., Huynh, T., & Tran, V.-D. (2021) · Advances in Civil Engineering · doi:10.1155/2021/5551555 · Cited by 22 · see citing works
Pyramid and multi kernel based local binary pattern for texture recognition
Tuncer, T., & Doğan, Ş. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-019-01306-1 · Cited by 21 · see citing works
Locally Directional and Extremal Pattern for Texture Classification
Dong, Y., Wang, T., Yang, C., Zheng, L., Song, B., Wang, L., & Jin, M. (2019) · IEEE Access · doi:10.1109/access.2019.2924985 · Cited by 20 · see citing works
A completed local shrinkage pattern for texture classification
Xu, X., Li, Y., & Wu, Q. M. J. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106830 · Cited by 19 · see citing works
Khadiri, I. E., Merabet, Y. E., Tarawneh, A. S., Ruichek, Y., Chetverikov, D., Touahni, R., & Hassanat, A. B. A. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3070188 · Cited by 19 · see citing works
Self-citationA novel neural network based image descriptor for texture classification
Tuncer, T., Doğan, Ş., & Ertam, F. (2019) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2019.04.191 · Cited by 16 · see citing works
Navarro, C. F., & Perez, C. A. (2019) · Applied Sciences · doi:10.3390/app9153130 · Cited by 16 · see citing works
Neutrosophic set based local binary pattern for texture classification
Alpaslan, N. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.118350 · Cited by 16 · see citing works
A novel and accurate chess pattern for automated texture classification
Tuncer, T., Doğan, Ş., & Ataman, V. (2019) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2019.122584 · Cited by 15 · see citing works
Microstructure Image Classification: A Classifier Combination Approach Using Fuzzy Integral Measure
Sarkar, S. S., Ansari, M. S., Mahanty, A., Mali, K., & Sarkar, R. (2021) · Integrating materials and manufacturing innovation · doi:10.1007/s40192-021-00210-x · Cited by 14 · see citing works
Khadiri, I. E., Merabet, Y. E., Ruichek, Y., Chetverikov, D., mokhtar, R. E., & Tarawneh, A. S. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.117646 · Cited by 13 · see citing works
Self-citationFace Recognition Based on Local Gradient Number Pattern and Fuzzy Convex-Concave Partition
Sun, J., Lv, Y., Tang, C., Sima, H., & Wu, X. (2020) · IEEE Access · doi:10.1109/access.2020.2975312 · Cited by 13 · see citing works
Multi Level Directional Cross Binary Patterns
Kas, M., Khadiri, I. E., Merabet, Y. E., Ruichek, Y., & Messoussi, R. (2020) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2020.103743 · Cited by 12 · see citing works
Self-citationNew local binary pattern approaches based on color channels in texture classification
Teki̇n, R., Ertuğrul, Ö. F., & Kaya, Y. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-09698-5 · Cited by 12 · see citing works
Hazgui, M., Ghazouani, H., & Barhoumi, W. (2021) · Evolving Systems · doi:10.1007/s12530-021-09386-1 · Cited by 11 · see citing works
Khadiri, I. E., Merabet, Y. E., Ruichek, Y., Chetverikov, D., & Touahni, R. (2020) · Signal Processing Image Communication · doi:10.1016/j.image.2020.115830 · Cited by 11 · see citing works
Self-citationBarua, P. D., Keleş, T., Kuluöztürk, M., Kobat, M. A., Doğan, Ş., Bayğın, M., Tuncer, T., Tan, R., & Acharya, U. R. (2024) · Neural Computing and Applications · doi:10.1007/s00521-024-09895-5 · Cited by 10 · see citing works
A New LBP Variant: Corner Rhombus Shape LBP (CRSLBP)
Saidi, I. A., Rziza, M., & Debayle, J. (2022) · Journal of Imaging · doi:10.3390/jimaging8070200 · Cited by 10 · see citing works
Performance improvement in face recognition system using optimized Gabor filters
Fini, R. M., Mahlouji, M., & Shahidinejad, A. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13167-6 · Cited by 10 · see citing works
A Novel Seizure Detection Method Based on the Feature Fusion of Multimodal Physiological Signals
Wu, D., Wei, J., Vidal, P., Wang, D., Yuan, Y.-X., Cao, J., & Jiang, T.-J. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3398418 · Cited by 11 · see citing works
Hu, C., Wu, F., Yu, J. F., Jing, X., Lu, X., & Liu, P. (2020) · IEEE Access · doi:10.1109/access.2020.2983837 · Cited by 9 · see citing works
Directional Neighborhood Topologies Based Multi-Scale Quinary Pattern for Texture Classification
Rachdi, E., Merabet, Y. E., Akhtar, Z., & Messoussi, R. (2020) · IEEE Access · doi:10.1109/access.2020.3040136 · Cited by 9 · see citing works
Towards non-data-hungry and fully-automated diagnosis of breast cancer from mammographic images
Ghazouani, H., & Barhoumi, W. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.105011 · Cited by 9 · see citing works
Multidirectional Gradient Feature With Shape Index for Effective Texture Classification
Chen, X., Li, J., & Zhang, Y. F. (2022) · International Journal on Semantic Web and Information Systems · doi:10.4018/ijswis.312183 · Cited by 8 · see citing works
Local Directional Difference and Relational Descriptor for Texture Classification
Yan, W., & Dong, Y. (2024) · Mathematics · doi:10.3390/math12213432 · Cited by 7 · see citing works
Radiomics Texture Analysis of Bone Marrow Alterations in MRI Knee Examinations
Kostopoulos, S. A., Boci, N., Cavouras, D., Tsagkalis, A., Papaioannou, M., Tsikrika, A., Glotsos, D. T., Asvestas, P. A., & Lavdas, E. (2023) · Journal of Imaging · doi:10.3390/jimaging9110252 · Cited by 7 · see citing works
Wavelet domain majority coupled binary pattern: a new descriptor for texture classification
Nithya, S., & Ramakrishnan, S. (2020) · Pattern Analysis and Applications · doi:10.1007/s10044-020-00907-3 · Cited by 7 · see citing works
CN-LBP: Complex Networks-Based Local Binary Patterns for Texture Classification
Huang, Z. (2021) · International Conference on Wavelet Analysis and Pattern Recognition · doi:10.1109/icwapr54887.2021.9736189 · Cited by 6 · see citing works
Texture and material classification with multi-scale ternary and septenary patterns
Rachdi, E., Khadiri, I. E., Merabet, Y. E., Rhazi, Y., & Meurie, C. (2022) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2022.12.009 · Cited by 6 · see citing works
Zhang, Y., Song, Z., & Guo, W. (2021) · IEEE Access · doi:10.1109/access.2021.3124676 · Cited by 6 · see citing works
Regional gradient pattern (RGP): A novel invariant texture descriptor
Wang, X., Xu, Y., & Niu, P. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.127215 · Cited by 5 · see citing works
Riaz, I., Ali, A., & Ibrahim, H. (2023) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2023.101667 · Cited by 5 · see citing works
Noise-Robust Local Ternary Pattern Center for Noisy Texture Classification
Alenizi, F. A., Mohammadi, M., & Shakoor, M. H. (2025) · IEEE Access · doi:10.1109/access.2025.3585596 · Cited by 4 · see citing works
A robust image descriptor-local radial grouped invariant order pattern
Wang, X., Xu, Y., & Niu, P. (2024) · Information Sciences · doi:10.1016/j.ins.2024.121675 · Cited by 3 · see citing works
A Novel Approach to Improve Face Recognition Process Using Automatic Learning
Gafour, Y., Berrabah, D., & Abdelkader, G. (2019) · International Journal of Computer Vision and Image Processing · doi:10.4018/ijcvip.2020010103 · Cited by 3 · see citing works
PT-CNN: A Non-linear Lightweight Texture Image Classifier
Priya, G. S., & Padmapriya, N. (2023) · Neural Processing Letters · doi:10.1007/s11063-023-11322-0 · Cited by 3 · see citing works
Histogram of Low-Level Visual Features for Salient Feature Extraction
Mehboob, R., Javed, A., Dawood, H., & Dawood, H. (2022) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-022-06644-5 · Cited by 2 · see citing works
Dual neighborhood thresholding patterns based on directional sampling
Kas, M., Merabet, Y. E., Ruichek, Y., & Messoussi, R. (2022) · Knowledge and Information Systems · doi:10.1007/s10115-022-01720-6 · Cited by 2 · see citing works
Self-citationFractional-order gradient based local binary pattern for texture classification
Alpaslan, N., & Hanbay, K. (2025) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2025.110316 · Cited by 2 · see citing works
Enhanced Multi-Scale Adaptive Binary Patterns for Robust Texture Classification
Gupta, V., Mishra, A., & Shrivastava, N. (2026) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2026.111088 · Cited by 2 · see citing works
Abdulsattar, F. S. (2021) · doi:10.1109/icit52682.2021.9491676 · Cited by 2 · see citing works
ELGONBP: A grouped neighboring intensity difference encoding for texture classification
Zhang, Y., Lin, Y., & Yang, J. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13634-0 · Cited by 2 · see citing works
Review on Medical Image Segmentation and Feature Extraction Approaches
Ahmed, M. M., Ali, A., Hashmi, B. N., Mashwani, W. K., & Gündüz, N. (2023) · Journal of Independent Studies and Research - Computing · doi:10.31645/jisrc.23.21.2.2 · Cited by 2 · see citing works
Face Gender Classification using Combination of LPQ-Self PCA
Dharmawan, T., Nugroho, D. A., & Hidayat, M. A. (2024) · JUITA Jurnal Informatika · doi:10.30595/juita.v12i1.21137 · Cited by 2 · see citing works
TSDAnet: texture strip dual attention network for intraclass texture classification
Sakthipriya, G., Padmapriya, N., & Venkateswaran, N. (2024) · Signal Image and Video Processing · doi:10.1007/s11760-024-03413-9 · Cited by 2 · see citing works
TLBP: Tomography‐Aided Local Binary Patterns With High Discrimination for Image Classification
Liu, Y., Zhang, X., Jiang, Y., Zhang, C., & Feng, H. (2025) · IET Image Processing · doi:10.1049/ipr2.70015 · Cited by 2 · see citing works
Texture Image Classification Using Effective Texture Descriptors
Gopalakrishnan, K., Karthikeyan, V., Harshini, P., & Ramasabitha, N. (2025) · Journal of Texture Studies · doi:10.1111/jtxs.70049 · Cited by 2 · see citing works
Guo, L., Wang, Y., Song, Y. J., & Sun, T. (2022) · Cognitive Computation and Systems · doi:10.1049/ccs2.12045 · Cited by 2 · see citing works
Texture classification with modified rotation invariant local binary pattern and gradient boosting
Sathiya, D. S. (2022) · International Journal of Knowledge-based and Intelligent Engineering Systems · doi:10.3233/kes220012 · Cited by 2 · see citing works
Padhy, R., Samantaray, L., Dash, S. K., & Mishra, J. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-23233-6_31 · Cited by 2 · see citing works
Completed Extremely Nonnegative DMD for Color Texture Classification
Jin, M., Dong, Y., Zhang, M., Wu, Q., Zheng, L., Song, B., Zhang, L., & Wang, L. (2020) · IEEE Access · doi:10.1109/access.2020.2998926 · Cited by 2 · see citing works
Texture Feature Extraction of Flotation Foam Image Based on Gabor Wavelet and Improved LBP
Zhang, B. (2023) · International Conference on Artificial Intelligence and Automation Control (AIAC) · doi:10.1109/aiac61660.2023.00070 · Cited by 1 · see citing works
Hybrid euler fractional local binary patterns for texture classification
Alpaslan, N. (2026) · Ain Shams Engineering Journal · doi:10.1016/j.asej.2026.104175 · Cited by 1 · see citing works
Machine Learning-based Automated Diagnosis of Breast Cancer from Mammography Images
Painuly, S. (2021) · Mathematical Statistician and Engineering Applications · doi:10.17762/msea.v70i2.2474 · Cited by 1 · see citing works
Local Binary Quaternion Rotation Pattern for colour texture retrieval
Jebali, H., Richard, N., & Naouai, M. (2021) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr48806.2021.9413192 · Cited by 1 · see citing works
Face Recognition Based on Fusion of Multiple Masks Local Feature Sets Using Wavelet Transform
Al-Dabagh, M. Z. N., Ahmad, M. I., & Anwar, S. A. (2021) · IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE) · doi:10.1109/icraie52900.2021.9703718 · Cited by 1 · see citing works
Image classification method of underground coal destruction type based on texture feature fusionPreprint
Lv, F., Han, X., Feng, Y., & Guo, Z. (2023) · Research Square · doi:10.21203/rs.3.rs-2437126/v1 · Cited by 1 · see citing works
SINGH, H. S., & GAGAN, G. (2024) · Research Square · doi:10.21203/rs.3.rs-4149753/v1 · Cited by 1 · see citing works
Application of Pattern Recognition in Computer Image Processing
Yang, P. (2021) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-74814-2_107
DNA Genome Classification with Machine Learning and Image Descriptors
Cussi, D. P., & Arceda, V. E. M. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-28073-3_4
Texture image classification method based on improved bilinear model
Lv, F., & Han, X. (2023) · International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE) · doi:10.1117/12.2692060
Neutrosophic Completed Local Binary Pattern Based Grasshopper Species Classification
Alpaslan, N., & İLÇİN, M. (2024) · Tarım Bilimleri Dergisi · doi:10.15832/ankutbd.1436890
One Missed Relief Feature Selection of Extended Local Binary Pattern for Texture ClassificationPreprint
Tian, Y. T., Alenizi, F. A., Alkaoud, M., Al-shamasneh, A. R. M., Mohammadi, M., & Shakoor, M. H. (2025) · Research Square · doi:10.21203/rs.3.rs-7409127/v1
Errachidi, A., Khadiri, I. E., Merabet, Y. E., Kas, M., Ruichek, Y., Meurie, C., & Akhtar, Z. (2026) · Sensors · doi:10.3390/s26185747
Self-citation
- Authors
- El merabet, Y., Ruichek, Y., & El idrissi, A.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Ruichek, Y.
- ORCID
- Ruichek, Y.
- Venue
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 78
- Pages
- 158-172
- ISSN
- 0952-1976 (ISSN-L)
- OpenAlex
- W2904419612
- Cited by
- 86
- References
- 99
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 8 · 2023: 10 · 2022: 17 · 2021: 16 · 2020: 17 · 2019: 9
- FWCI
- 5.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Engineering Applications of Artificial Intelligence (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Keywords
- local binary pattern, texture classification, center-symmetric local binary pattern, texture features
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review