{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T12:36:18Z","timestamp":1770813378133,"version":"3.50.1"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030005627","type":"print"},{"value":"9783030005634","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-00563-4_41","type":"book-chapter","created":{"date-parts":[[2018,10,5]],"date-time":"2018-10-05T11:35:29Z","timestamp":1538739329000},"page":"422-429","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Fabric Defect Detection Based on Sparse Representation Image Decomposition"],"prefix":"10.1007","author":[{"given":"Jun-Feng","family":"Jing","sequence":"first","affiliation":[]},{"given":"Hao","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Zhuo-Mei","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,10,6]]},"reference":[{"issue":"1","key":"41_CR1","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1109\/TIE.1930.896476","volume":"55","author":"A Kumar","year":"2008","unstructured":"Kumar, A.: Computer-vision-based fabric defect detection: a survey. IEEE Trans. Ind. Electron. 55(1), 348\u2013363 (2008)","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"5","key":"41_CR2","first-page":"44","volume":"31","author":"C Tian","year":"2010","unstructured":"Tian, C., Bu, H., Wang, J., Chen, X.: Fabric defect detection based on fractal feature of time series. J. Text. Res. 31(5), 44\u201348 (2010)","journal-title":"J. Text. Res."},{"issue":"9","key":"41_CR3","doi-asserted-by":"publisher","first-page":"998","DOI":"10.1080\/00405000.2013.876154","volume":"105","author":"MA Selver","year":"2014","unstructured":"Selver, M.A., Av\u015far, V., \u00d6zdemir, H.: Textural fabric defect detection using statistical texture transformations and gradient search. J. Text. Inst. 105(9), 998\u20131007 (2014)","journal-title":"J. Text. Inst."},{"issue":"5","key":"41_CR4","doi-asserted-by":"publisher","first-page":"2545","DOI":"10.1109\/TIP.2017.2675341","volume":"26","author":"Y Gao","year":"2017","unstructured":"Gao, Y., Ma, J., Yuille, A.L.: Semi-supervised sparse representation based classification for face recognition with insufficient labeled samples. IEEE Trans. Image Process. 26(5), 2545\u20132560 (2017)","journal-title":"IEEE Trans. Image Process."},{"issue":"24","key":"41_CR5","doi-asserted-by":"publisher","first-page":"8669","DOI":"10.1080\/01431161.2013.845924","volume":"34","author":"C Zhao","year":"2013","unstructured":"Zhao, C., Li, X., Ren, J., Marshall, S.: Improved sparse representation using adaptive spatial support for effective target detection in hyperspectral imagery. Int. J. Remote Sens. 34(24), 8669\u20138684 (2013)","journal-title":"Int. J. Remote Sens."},{"key":"41_CR6","unstructured":"Cao, F., Yang, Z., Ren, J., Ling, W.: Sparse representation based augmented multinomial logistic extreme learning machine with weighted composite features for spectral spatial hyperspectral image classification. In: CVPR, pp. 1\u201315. eprint \narXiv:1709.03792\n\n, University of Maryland at College Park (2017)"},{"issue":"99","key":"41_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TCYB.2017.2769097","volume":"1","author":"L Liu","year":"2017","unstructured":"Liu, L., Chen, L., Chen, C., Tang, Y., Chi, M.: Weighted joint sparse representation for removing mixed noise in image. IEEE Trans. Cybern. 1(99), 1\u201312 (2017)","journal-title":"IEEE Trans. Cybern."},{"issue":"1","key":"41_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10548-016-0479-1","volume":"31","author":"DA Bridwell","year":"2018","unstructured":"Bridwell, D.A., Rachakonda, S., Rogers, F.S., Pearlson, G.D., Calhoun, V.D.: Spatiospectral decomposition of multi-subject EEG: evaluating blind source separation algorithms on real and realistic simulated data. Brain Topogr. 31(1), 1\u201315 (2018)","journal-title":"Brain Topogr."},{"issue":"4","key":"41_CR9","doi-asserted-by":"publisher","first-page":"992","DOI":"10.1109\/TNN.2005.849840","volume":"16","author":"P Georgiev","year":"2005","unstructured":"Georgiev, P., Theis, F., Cichocki, A.: Sparse component analysis and blind source separation of underdetermined mixtures. IEEE Trans. Neural Netw. 16(4), 992\u2013996 (2005)","journal-title":"IEEE Trans. Neural Netw."},{"key":"41_CR10","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511730344","volume-title":"Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity","author":"JL Starck","year":"2010","unstructured":"Starck, J.L., Murtagh, F., Fadili, J.: Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity. Cambridge University Press, Cambridge (2010)"},{"key":"41_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-7011-4_5","volume-title":"Sparse and Redundant Representations","author":"M Elad","year":"2010","unstructured":"Elad, M.: From exact to approximate solutions. In: Elad, M. (ed.) Sparse and Redundant Representations. Springer, New York (2010). \nhttps:\/\/doi.org\/10.1007\/978-1-4419-7011-4_5"},{"key":"41_CR12","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1117\/12.304915","volume":"3391","author":"S Sardy","year":"1998","unstructured":"Sardy, S., Bruce, A.G.: Block coordinate relaxation methods for nonparamatric signal denoising. Proc. SPIE. 3391, 75\u201386 (1998)","journal-title":"Proc. SPIE."},{"issue":"10","key":"41_CR13","doi-asserted-by":"publisher","first-page":"1570","DOI":"10.1109\/TIP.2005.852206","volume":"14","author":"JL Starck","year":"2005","unstructured":"Starck, J.L., Elad, M., Donoho, D.L.: Image decomposition via the combination of sparse representations and a variational approach. IEEE Trans. Image Process. 14(10), 1570\u20131582 (2005)","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"41_CR14","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1016\/j.imavis.2011.02.002","volume":"29","author":"HYT Ngan","year":"2011","unstructured":"Ngan, H.Y.T., Pang, G.K.H., Yung, N.H.C.: Automated fabric defect detection, a review. Image Vis. Comput. 29(7), 442\u2013458 (2011)","journal-title":"Image Vis. Comput."},{"issue":"7","key":"41_CR15","doi-asserted-by":"publisher","first-page":"2479","DOI":"10.1109\/TSP.2009.2016892","volume":"57","author":"SJ Wright","year":"2009","unstructured":"Wright, S.J., Nowak, R.D., Figueiredo, M.A.T.: Sparse reconstruction by separable approximation. IEEE Trans. Signal Process. 57(7), 2479\u20132493 (2009)","journal-title":"IEEE Trans. Signal Process."},{"issue":"6","key":"41_CR16","doi-asserted-by":"publisher","first-page":"972","DOI":"10.1109\/JPROC.2009.2037655","volume":"98","author":"M Elad","year":"2010","unstructured":"Elad, M., Figueiredo, M.A.T., Ma, Y.: On the role of sparse and redundant representations in image processing. Proc. IEEE 98(6), 972\u2013982 (2010)","journal-title":"Proc. IEEE"},{"key":"41_CR17","doi-asserted-by":"publisher","first-page":"472","DOI":"10.1016\/j.apsusc.2015.05.033","volume":"349","author":"X Yuan","year":"2015","unstructured":"Yuan, X., Wu, L., Peng, Q.: An improved Otsu method using the weighted object variance for defect detection. Appl. Surf. Sci. 349, 472\u2013484 (2015)","journal-title":"Appl. Surf. Sci."},{"key":"41_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1007\/978-3-642-12304-7_60","volume-title":"Computer Vision \u2013 ACCV 2009","author":"Yu Zhang","year":"2010","unstructured":"Zhang, Yu., Lu, Zhaoyang, Li, Jing: Fabric defect detection and classification using gabor filters and gaussian mixture model. In: Zha, Hongbin, Taniguchi, Rin-ichiro, Maybank, Stephen (eds.) ACCV 2009. LNCS, vol. 5995, pp. 635\u2013644. Springer, Heidelberg (2010). \nhttps:\/\/doi.org\/10.1007\/978-3-642-12304-7_60"},{"issue":"5","key":"41_CR19","first-page":"594","volume":"29","author":"S Liu","year":"2015","unstructured":"Liu, S., Li, P., Zhang, L., Zhang, H., Zhang, H., Jing, J.: Defect detection based on sparse coding dictionary learning. J. Xi\u2019an Polytech. Univ. 29(5), 594\u2013599 (2015)","journal-title":"J. Xi\u2019an Polytech. Univ."},{"issue":"2","key":"41_CR20","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1016\/j.patcog.2014.08.014","volume":"48","author":"J Xie","year":"2014","unstructured":"Xie, J., Zhang, L., You, J., Shiu, S.: Effective texture classification by texton encoding induced statistical features. Pattern Recognit. 48(2), 447\u2013457 (2014)","journal-title":"Pattern Recognit."},{"issue":"2","key":"41_CR21","doi-asserted-by":"publisher","first-page":"1256","DOI":"10.1109\/TASE.2016.2520955","volume":"14","author":"Y Li","year":"2017","unstructured":"Li, Y., Zhao, W., Pan, J.: Deformable patterned fabric defect detection with Fisher criterion-based deep learning. IEEE Trans. Autom. Sci. Eng. 14(2), 1256\u20131264 (2017)","journal-title":"IEEE Trans. Autom. Sci. Eng."}],"container-title":["Lecture Notes in Computer Science","Advances in Brain Inspired Cognitive Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00563-4_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,11,16]],"date-time":"2018-11-16T18:28:43Z","timestamp":1542392923000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-00563-4_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030005627","9783030005634"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00563-4_41","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"BICS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Brain Inspired Cognitive Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 July 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bics2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bics2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}