{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T02:37:56Z","timestamp":1773801476126,"version":"3.50.1"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,9,7]],"date-time":"2020-09-07T00:00:00Z","timestamp":1599436800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,7]],"date-time":"2020-09-07T00:00:00Z","timestamp":1599436800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1007\/s11042-020-09520-2","type":"journal-article","created":{"date-parts":[[2020,9,7]],"date-time":"2020-09-07T22:02:30Z","timestamp":1599516150000},"page":"1289-1309","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":56,"title":["Image surface texture analysis and classification using deep learning"],"prefix":"10.1007","volume":"80","author":[{"given":"Akarsh","family":"Aggarwal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5113-0639","authenticated-orcid":false,"given":"Manoj","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,7]]},"reference":[{"key":"9520_CR1","doi-asserted-by":"publisher","unstructured":"Aggarwal A, Rani A, Kumar M (2019) A robust method to authenticate license plates using segmentation and ROI based approach. Smart and Sustainable Built Environment, DOI: https:\/\/doi.org\/10.1108\/SASBE-07-2019-0083","DOI":"10.1108\/SASBE-07-2019-0083"},{"key":"9520_CR2","unstructured":"Brownlee J (2019) Gentle introduction to the adam optimization algorithm for deep learning. Machine Learning Mastery Pty. Ltd. , 2019. [Online]. Available: https:\/\/machinelearningmastery.com\/adam-optimization-algorithm-for-deep-learning\/ss. [Accessed March 2019]."},{"issue":"2","key":"9520_CR3","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1109\/TIP.2004.840706","volume":"14","author":"HS Chang","year":"2005","unstructured":"Chang HS, Kang K (2005) A compressed domain scheme for classifying block edge patterns. IEEE Trans Image Process 14(2):145\u2013151","journal-title":"IEEE Trans Image Process"},{"issue":"1\u20132","key":"9520_CR4","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/s11263-005-4636-3","volume":"62","author":"M Chantler","year":"2005","unstructured":"Chantler M, Petrou M, Penirsche A, Schmidt M, McGunnigle G (2005) Classifying surface texture while simultaneously estimating illumination direction. Int J Comput Vis 62(1\u20132):83\u201396","journal-title":"Int J Comput Vis"},{"issue":"3","key":"9520_CR5","doi-asserted-by":"publisher","first-page":"1513","DOI":"10.1007\/s11277-019-06482-z","volume":"108","author":"K Chatra","year":"2019","unstructured":"Chatra K, Kuppili V, Edla DR (2019) Texture image classification using deep neural network and binary dragon Fly optimization with a novel fitness function. Wirel Pers Commun 108(3):1513\u20131528","journal-title":"Wirel Pers Commun"},{"key":"9520_CR6","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/s41095-016-0073-1","volume":"3","author":"L Chen","year":"2017","unstructured":"Chen L, Yang M (2017) Semi-supervised dictionary learning with label propagation for image classification. Computational Visual Media 3:83\u201394","journal-title":"Computational Visual Media"},{"key":"9520_CR7","doi-asserted-by":"crossref","unstructured":"Chen Z, Derakhshani RR, Halmen C, Kevern JT (2011) A texture-based method for classifying cracked concrete surfaces from digital images using neural networks. in The 2011 International Joint Conference on Neural Networks, San Jose","DOI":"10.1109\/IJCNN.2011.6033562"},{"key":"9520_CR8","doi-asserted-by":"crossref","unstructured":"Cho M, Kim T, Kim IJ, Lee S (2020) Relational deep feature learning for heterogeneous face recognition. arXiv preprint arXiv:2003.00697","DOI":"10.1109\/TIFS.2020.3013186"},{"issue":"1\u20134","key":"9520_CR9","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s00170-015-7514-3","volume":"83","author":"A Chondronasios","year":"2016","unstructured":"Chondronasios A, Popov A, Jordanov I (2016) Feature selection for surface defect classification of extruded aluminum profiles. Int J Adv Manuf Technol 83(1\u20134):33\u201341","journal-title":"Int J Adv Manuf Technol"},{"issue":"3","key":"9520_CR10","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1109\/83.748895","volume":"8","author":"M Comer","year":"1999","unstructured":"Comer M, Delp E (1999) Segmentation of textured images using a multiresolution Gaussian autoregressive model. IEEE Trans Image Process 8(3):408\u2013420","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"9520_CR11","doi-asserted-by":"publisher","first-page":"1009","DOI":"10.3390\/en11041009","volume":"11","author":"Y Dong","year":"2018","unstructured":"Dong Y, Zhang Z, Hong W-C (2018) A Hybrid Seasonal Mechanism with a Chaotic Cuckoo Search Algorithm with a Support Vector Regression Model for Electric Load Forecasting. Energies 11(4):1009","journal-title":"Energies"},{"key":"9520_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.eswa.2017.04.053","volume":"84","author":"A Ferreira","year":"2017","unstructured":"Ferreira A, Giraldi G (2017) Convolutional neural network approaches to granite tiles classification. Expert Syst Appl 84:1\u201317","journal-title":"Expert Syst Appl"},{"issue":"1","key":"9520_CR13","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1109\/TITS.2016.2568758","volume":"18","author":"X Gibert","year":"2017","unstructured":"Gibert X, Patel V, Chellappa R (2017) Deep multitask learning for railway track inspection. IEEE Trans Intell Transp Syst 18(1):153\u2013164","journal-title":"IEEE Trans Intell Transp Syst"},{"issue":"7","key":"9520_CR14","first-page":"253","volume":"11","author":"V Goyal","year":"2019","unstructured":"Goyal V, Singh G, Tiwari O, Punia SK, Kumar M (2019) Intelligent skin Cancer detection Mobile application using convolution neural network. Journal of Advanced Research in Dynamical and Control Systems 11(7):253\u2013259","journal-title":"Journal of Advanced Research in Dynamical and Control Systems"},{"key":"9520_CR15","doi-asserted-by":"crossref","unstructured":"Gu W, Lv Z, Hao M (2017) Change detection method for remote sensing images based on an improved Markov random field. Multimedia Tools and Applications volume 76, pages17719\u201317734(2017), vol. 76, pp. 17719\u201317734","DOI":"10.1007\/s11042-015-2960-3"},{"issue":"2017","key":"9520_CR16","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.patcog.2016.11.021","volume":"66","author":"SH Hanzaei","year":"2017","unstructured":"Hanzaei SH, Afshar A, Barazandeh F (2017) Automatic detection and classification of the ceramic tiles\u2019 surface defects. Pattern Recogn 66(2017):174\u2013189","journal-title":"Pattern Recogn"},{"issue":"5","key":"9520_CR17","doi-asserted-by":"publisher","first-page":"696","DOI":"10.1109\/34.1000242","volume":"24","author":"R-L Hsu","year":"2002","unstructured":"Hsu R-L, Mottaleb MA, Jain AK (2002) Face detection in color images. IEEE Trans Pattern Anal Mach Intell 24(5):696\u2013706","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2014","key":"9520_CR18","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/s11042-012-1248-0","volume":"69","author":"H Hu","year":"2014","unstructured":"Hu H, Li Y, Liu M, Liang W (2014) Classification of defects in steel strip surface based on multiclass support vector machine. Multimed Tools Appl 69(2014):199\u2013216. https:\/\/doi.org\/10.1007\/s11042-012-1248-0","journal-title":"Multimed Tools Appl"},{"key":"9520_CR19","doi-asserted-by":"crossref","unstructured":"Huang Y, Wang Y, Tai Y, Liu X, Shen P, Li S, Li J, Huang F (2020) Curricularface: adaptive curriculum learning loss for deep face recognition. In proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (pp. 5901-5910)","DOI":"10.1109\/CVPR42600.2020.00594"},{"key":"9520_CR20","doi-asserted-by":"crossref","unstructured":"Khan AI, Wani MA (2018) Patch-based segmentation of latent fingerprint images using convolutional neural network. Appl Artif Intell, pp. 1\u201315","DOI":"10.1080\/08839514.2018.1526704"},{"key":"9520_CR21","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems"},{"issue":"5","key":"9520_CR22","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1109\/TSMCB.2002.1033176","volume":"32","author":"A Kumar","year":"2002","unstructured":"Kumar A, Pang G (2002) Defect detection in textured materials using optimized filters. IEEE Transactions on System, Man, and Cybernetics\u2013Part B,Cybernetics 32(5):553\u2013570","journal-title":"IEEE Transactions on System, Man, and Cybernetics\u2013Part B,Cybernetics"},{"issue":"9","key":"9520_CR23","doi-asserted-by":"publisher","first-page":"12451","DOI":"10.1007\/s11042-018-6775-x","volume":"78","author":"M Kumar","year":"2018","unstructured":"Kumar M, Srivastava S (2018) Image authentication by assessing manipulations using illumination. Multimed Tools Appl 78(9):12451\u201311246","journal-title":"Multimed Tools Appl"},{"key":"9520_CR24","unstructured":"Kylberg G (n.d.) The kylberg texture dataset v. 1.0. In Centre for Image Analysis,Swedish University of Agricultural Sciences and Uppsala University,External report (Blue series) No. 35.Available online at: http:\/\/www.cb.uu.se\/~gustaf\/texture\/."},{"key":"9520_CR25","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.patrec.2017.04.001","volume":"113","author":"RD Labati","year":"2017","unstructured":"Labati RD, Genovese A, Mu\u00f1oz E, Piuri V, Scotti F (2017) A novel pore extraction method for heterogeneous fingerprint images using convolutional neural networks. Pattern Recogn Lett 113:58\u201366","journal-title":"Pattern Recogn Lett"},{"issue":"1","key":"9520_CR26","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1023\/A:1011126920638","volume":"43","author":"T Leung","year":"2001","unstructured":"Leung T, Malik J (2001) Representing and recognizing the visual appearance of materials. Int J Comput Vis 43(1):29\u201344","journal-title":"Int J Comput Vis"},{"issue":"2019","key":"9520_CR27","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.patcog.2018.08.002","volume":"85","author":"C Liu","year":"2019","unstructured":"Liu C, Hu W (2019) Real-time geometric fitting and pose estimation for surface of revolution. Pattern Recogn 85(2019):90\u2013108","journal-title":"Pattern Recogn"},{"issue":"3","key":"9520_CR28","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/s10044-002-0179-1","volume":"6","author":"T M\u00e4enp\u00e4\u00e4","year":"2003","unstructured":"M\u00e4enp\u00e4\u00e4 T, Viertola J, Pietik\u00e4inen M (2003) Optimizing color and texture features for real-time visual. Pattern Anal Applic 6(3):169\u2013175","journal-title":"Pattern Anal Applic"},{"key":"9520_CR29","doi-asserted-by":"publisher","first-page":"758","DOI":"10.1177\/004051750007000902","volume":"70","author":"B Mallick-Goswami","year":"2000","unstructured":"Mallick-Goswami B, Datta A (2000) Detecting defects in fabric with laser-based morphological image. Text Res J 70:758\u2013762","journal-title":"Text Res J"},{"issue":"3","key":"9520_CR30","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s40684-016-0039-x","volume":"3","author":"J-K Park","year":"2016","unstructured":"Park J-K, Kwon B-K, Park J-H, Kang D-J (2016) Machine learning-based imaging system for surface defect inspection. International Journal of Precision Engineering and Manufacturing-Green Technology 3(3):303\u2013310","journal-title":"International Journal of Precision Engineering and Manufacturing-Green Technology"},{"issue":"2015","key":"9520_CR31","doi-asserted-by":"publisher","first-page":"3333","DOI":"10.1016\/j.patcog.2014.10.011","volume":"48","author":"B-S Shin","year":"2015","unstructured":"Shin B-S, Tao J, Klette R (2015) A superparticle filter for lane detection. Pattern Recogn 48(2015):3333\u20133345","journal-title":"Pattern Recogn"},{"key":"9520_CR32","doi-asserted-by":"crossref","unstructured":"Tao X, Zhang D, Ma W, Liu X, Xu D (2018) Automatic metallic surface defect detection and recognition with convolutional neural networks. Applied Sciences, vol. 8, no. 9","DOI":"10.3390\/app8091575"},{"issue":"2018","key":"9520_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.patcog.2018.04.028","volume":"82","author":"EM Thompson","year":"2018","unstructured":"Thompson EM, Biasotti S (2018) Description and retrieval of geometric patterns on surface meshes using an e dge-base d LBP approach. Pattern Recogn 82(2018):1\u201315","journal-title":"Pattern Recogn"},{"key":"9520_CR34","doi-asserted-by":"crossref","unstructured":"Veerashetty S, Patil NB (2019) Novel LBP based texture descriptor for rotation, illumination and scale invariance for image texture analysis and classification using multi-kernel SVM. Multimed Tools Appl:1\u201321","DOI":"10.1007\/s11042-019-7345-6"},{"issue":"2","key":"9520_CR35","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1109\/42.141636","volume":"11","author":"C-M Wu","year":"1992","unstructured":"Wu C-M, Chen Y-C, Hsieh K-S (1992) Texture features for classification of ultrasonic liver images. IEEE Trans Med Imaging 11(2):141\u2013152","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"9520_CR36","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/s11263-009-0220-6","volume":"83","author":"Y Xu","year":"2009","unstructured":"Xu Y, Ji H, Ferm\u00fcller C (2009) Viewpoint invariant texture description using fractal analysis. Int J Comput Vis 83(1):85\u2013100","journal-title":"Int J Comput Vis"},{"issue":"19","key":"9520_CR37","doi-asserted-by":"publisher","first-page":"2231","DOI":"10.1016\/j.ijleo.2015.05.101","volume":"126","author":"X YongHua","year":"2015","unstructured":"YongHua X, Cong WJ (2015) Study on the identification of the wood surface defects based on texture features. Optik - International Journal for Light and Electron Optics 126(19):2231\u20132235","journal-title":"Optik - International Journal for Light and Electron Optics"},{"issue":"4","key":"9520_CR38","doi-asserted-by":"publisher","first-page":"1107","DOI":"10.1007\/s11071-019-05252-7","volume":"98","author":"Z Zhang","year":"2019","unstructured":"Zhang Z, Hong W-C (2019) Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm. Nonlinear Dynamics 98(4):1107\u20131136","journal-title":"Nonlinear Dynamics"},{"key":"9520_CR39","doi-asserted-by":"publisher","first-page":"14642","DOI":"10.1109\/ACCESS.2020.2966712","volume":"8","author":"Z Zhang","year":"2020","unstructured":"Zhang Z, Hong W-C, Li J (2020) Electric load forecasting by hybrid self-recurrent support vector regression model with Variational mode decomposition and improved cuckoo search algorithm. IEEE Access 8:14642\u201314658","journal-title":"IEEE Access"},{"issue":"2015","key":"9520_CR40","first-page":"2592","volume":"48","author":"Z Zhu","year":"2015","unstructured":"Zhu Z, You X, Chen CP, Tao D, Ou W, Jiang X, Zou J (2015) An adaptive hybrid pattern for noise-robust texture analysis. PatternRecognition 48(2015):2592\u20132608","journal-title":"PatternRecognition"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09520-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-020-09520-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09520-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,6]],"date-time":"2021-09-06T23:24:21Z","timestamp":1630970661000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-020-09520-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,7]]},"references-count":40,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["9520"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-09520-2","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,7]]},"assertion":[{"value":"2 September 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 June 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 July 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 September 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}