{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T16:23:26Z","timestamp":1774283006780,"version":"3.50.1"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,6,26]],"date-time":"2020-06-26T00:00:00Z","timestamp":1593129600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,6,26]],"date-time":"2020-06-26T00:00:00Z","timestamp":1593129600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976105"],"award-info":[{"award-number":["61976105"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Manuf"],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1007\/s10845-020-01607-9","type":"journal-article","created":{"date-parts":[[2020,6,26]],"date-time":"2020-06-26T04:37:15Z","timestamp":1593146235000},"page":"1147-1161","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":49,"title":["A multi-task and multi-scale convolutional neural network for automatic recognition of woven fabric pattern"],"prefix":"10.1007","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6188-348X","authenticated-orcid":false,"given":"Shuo","family":"Meng","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2378-2266","authenticated-orcid":false,"given":"Ruru","family":"Pan","sequence":"additional","affiliation":[]},{"given":"Weidong","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Jian","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Jingan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Wentao","family":"He","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,6,26]]},"reference":[{"key":"1607_CR1","first-page":"1","volume":"104","author":"E Aldemir","year":"2018","unstructured":"Aldemir, E., \u00d6zdemir, H., & Sar\u0131, Z. (2018). An improved gray line profile method to inspect the warp\u2013weft density of fabrics. The Journal of The Textile Institute, 104, 1\u201312.","journal-title":"The Journal of The Textile Institute"},{"key":"1607_CR2","doi-asserted-by":"crossref","unstructured":"Boonsirisumpun, N., & Puarungroj, W. (2018). Loei fabric weaving pattern recognition using deep neural network. In 2018 15th International joint conference on computer science and software engineering (JCSSE), 2018 (pp. 1\u20136). IEEE.","DOI":"10.1109\/JCSSE.2018.8457365"},{"key":"1607_CR3","doi-asserted-by":"crossref","unstructured":"Dai, J., He, K., & Sun, J. (2016). Instance-aware semantic segmentation via multi-task network cascades. In Proceedings of the IEEE conference on computer vision and pattern recognition, 2016 (pp. 3150\u20133158).","DOI":"10.1109\/CVPR.2016.343"},{"issue":"1","key":"1607_CR4","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1145\/361237.361242","volume":"15","author":"RO Duda","year":"1972","unstructured":"Duda, R. O., & Hart, P. E. (1972). Use of the hough transform to detect lines and curves in pictures. Communications of the ACM, 15(1), 11\u201315.","journal-title":"Communications of the ACM"},{"key":"1607_CR5","first-page":"249","volume":"9","author":"X Glorot","year":"2010","unstructured":"Glorot, X., & Bengio, Y. (2010). Understanding the difficulty of training deep feedforward neural networks. Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 9, 249\u2013256.","journal-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics"},{"key":"1607_CR6","unstructured":"Golik, P., Doetsch, P., & Ney, H. (2013). Cross-entropy vs. squared error training: A theoretical and experimental comparison. In: Interspeech, 2013 (pp. 1756\u20131760)."},{"issue":"14","key":"1607_CR7","doi-asserted-by":"publisher","first-page":"2754","DOI":"10.1177\/0040517518801197","volume":"89","author":"Y Guo","year":"2019","unstructured":"Guo, Y., Ge, X., Yu, M., Yan, G., & Liu, Y. (2019). Automatic recognition method for the repeat size of a weave pattern on a woven fabric image. Textile Research Journal, 89(14), 2754\u20132775.","journal-title":"Textile Research Journal"},{"issue":"6","key":"1607_CR8","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1177\/004051750007000603","volume":"70","author":"C-C Huang","year":"2000","unstructured":"Huang, C.-C., Liu, S.-C., & Yu, W.-H. (2000). Woven fabric analysis by image processing: Part I: Identification of weave patterns. Textile Research Journal, 70(6), 481\u2013485.","journal-title":"Textile Research Journal"},{"issue":"5","key":"1607_CR9","doi-asserted-by":"publisher","first-page":"1092","DOI":"10.1007\/s12221-014-1092-0","volume":"15","author":"J Jing","year":"2014","unstructured":"Jing, J., Xu, M., Li, P., Qi, L., & Liu, S. (2014). Automatic classification of woven fabric structure based on texture feature and PNN. Fibers and Polymers, 15(5), 1092\u20131098.","journal-title":"Fibers and Polymers"},{"issue":"2","key":"1607_CR10","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1177\/004051759906900201","volume":"69","author":"TJ Kang","year":"1999","unstructured":"Kang, T. J., Kim, C. H., & Oh, K. W. (1999). Automatic recognition of fabric weave patterns by digital image analysis. Textile Research Journal, 69(2), 77\u201383.","journal-title":"Textile Research Journal"},{"key":"1607_CR11","unstructured":"Kingma, D. P., & Ba, J. (2014). Adam: A method for stochastic optimization. arXiv preprint arXiv:14091556."},{"issue":"2","key":"1607_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4188\/jte1955.35.2_1","volume":"35","author":"M Kinoshita","year":"1989","unstructured":"Kinoshita, M., Hashimoto, Y., Akiyama, R., & Uchiyama, S. (1989). Determination of weave type in woven fabric by digital image processing. Journal of the Textile Machinery Society of Japan, 35(2), 1\u20134.","journal-title":"Journal of the Textile Machinery Society of Japan"},{"issue":"3","key":"1607_CR13","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1177\/0040517514549982","volume":"86","author":"C-FJ Kuo","year":"2016","unstructured":"Kuo, C.-F. J., Shih, C.-Y., Huang, C.-C., Su, T.-L., & Liao, I.-C. (2016). A novel image processing technology for recognizing the weave of fabrics. Textile Research Journal, 86(3), 288\u2013301.","journal-title":"Textile Research Journal"},{"issue":"3","key":"1607_CR14","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1533\/joti.2004.0069","volume":"96","author":"A Lachkar","year":"2005","unstructured":"Lachkar, A., Benslimane, R., D\u2019orazio, L., & Martuscelli, E. (2005). Textile woven fabric recognition using Fourier image analysis techniques: Part II\u2013texture analysis for crossed-states detection. Journal of the Textile Institute, 96(3), 179\u2013183.","journal-title":"Journal of the Textile Institute"},{"key":"1607_CR15","doi-asserted-by":"crossref","first-page":"155892501984065","DOI":"10.1177\/1558925019840659","volume":"14","author":"Z Li","year":"2019","unstructured":"Li, Z., Meng, S., Wang, L., Zhang, N., & Gao, W. (2019). Intelligent recognition of the patterns of yarn-dyed fabric based on LSRT images. Journal of Engineered Fibers and Fabrics, 14, 1558925019840659.","journal-title":"Journal of Engineered Fibers and Fabrics"},{"key":"1607_CR16","doi-asserted-by":"crossref","unstructured":"Li, P. F., Wang, J., Zhang, H. H., & Jing, J. F. (2013). Automatic woven fabric classification based on support vector machine. In International conference on automatic control and artificial intelligence, 2013 (pp. 581\u2013584).","DOI":"10.1049\/cp.2012.1046"},{"issue":"6","key":"1607_CR17","doi-asserted-by":"publisher","first-page":"2525","DOI":"10.1007\/s10845-018-1415-x","volume":"30","author":"H Lin","year":"2019","unstructured":"Lin, H., Li, B., Wang, X., Shu, Y., & Niu, S. (2019). Automated defect inspection of LED chip using deep convolutional neural network. Journal of Intelligent Manufacturing, 30(6), 2525\u20132534.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"1","key":"1607_CR18","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/s10845-016-1254-6","volume":"30","author":"P Malaca","year":"2019","unstructured":"Malaca, P., Rocha, L. F., Gomes, D., Silva, J., & Veiga, G. (2019). Online inspection system based on machine learning techniques: real case study of fabric textures classification for the automotive industry. Journal of Intelligent Manufacturing, 30(1), 351\u2013361.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"1607_CR19","doi-asserted-by":"publisher","first-page":"75810","DOI":"10.1109\/ACCESS.2019.2922502","volume":"7","author":"S Meng","year":"2019","unstructured":"Meng, S., Pan, R., Gao, W., Zhou, J., Wang, J., & He, W. (2019). Woven fabric density measurement by using multi-scale convolutional neural networks. IEEE Access, 7, 75810\u201375821.","journal-title":"IEEE Access"},{"issue":"1","key":"1607_CR20","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Ohtsu","year":"1979","unstructured":"Ohtsu, N. (1979). A threshold selection method from gray-level histograms. IEEE Transactions on Systems Man and Cybernetics, 9(1), 62\u201366.","journal-title":"IEEE Transactions on Systems Man and Cybernetics"},{"issue":"2","key":"1607_CR21","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s12221-010-0303-6","volume":"11","author":"R Pan","year":"2010","unstructured":"Pan, R., Gao, W., Liu, J., & Wang, H. (2010a). Automatic recognition of woven fabric patterns based on pattern database. Fibers and Polymers, 11(2), 303\u2013308.","journal-title":"Fibers and Polymers"},{"issue":"12","key":"1607_CR22","doi-asserted-by":"publisher","first-page":"1222","DOI":"10.1177\/0040517509355349","volume":"80","author":"R Pan","year":"2010","unstructured":"Pan, R., Gao, W., Liu, J., & Wang, H. (2010b). Automatic detection of the layout of color yarns for yarn-dyed fabric via a FCM algorithm. Textile Research Journal, 80(12), 1222\u20131231.","journal-title":"Textile Research Journal"},{"issue":"1","key":"1607_CR23","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1080\/00405000903430255","volume":"102","author":"R Pan","year":"2011","unstructured":"Pan, R., Gao, W., Liu, J., & Wang, H. (2011). Automatic recognition of woven fabric pattern based on image processing and BP neural network. Journal of the Textile Institute Proceedings and Abstracts, 102(1), 19\u201330.","journal-title":"Journal of the Textile Institute Proceedings and Abstracts"},{"issue":"17","key":"1607_CR24","doi-asserted-by":"publisher","first-page":"1819","DOI":"10.1177\/0040517510369411","volume":"80","author":"R Pan","year":"2010","unstructured":"Pan, R., Gao, W., Liu, J., Wang, H., & Zhang, X. (2010c). Automatic detection of structure parameters of yarn-dyed fabric. Textile Research Journal, 80(17), 1819\u20131832.","journal-title":"Textile Research Journal"},{"issue":"11","key":"1607_CR25","doi-asserted-by":"publisher","first-page":"1406","DOI":"10.1080\/00405000.2015.1114791","volume":"107","author":"M Sabuncu","year":"2015","unstructured":"Sabuncu, M., & \u00c3-zdemir, H. (2015). Recognition of fabric weave patterns using optical coherence tomography. Journal of the Textile Institute Proceedings and Abstracts, 107(11), 1406\u20131411.","journal-title":"Journal of the Textile Institute Proceedings and Abstracts"},{"issue":"4","key":"1607_CR26","doi-asserted-by":"publisher","first-page":"1063","DOI":"10.1109\/TIM.2014.2363580","volume":"64","author":"D Schneider","year":"2015","unstructured":"Schneider, D., Gloy, Y. S., & Merhof, D. (2015). Vision-based on-loom measurement of yarn densities in woven fabrics. IEEE Transactions on Instrumentation and Measurement, 64(4), 1063\u20131074.","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"issue":"3","key":"1607_CR27","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1007\/s10044-014-0403-9","volume":"18","author":"D Schneider","year":"2015","unstructured":"Schneider, D., & Merhof, D. (2015). Blind weave detection for woven fabrics. Pattern Analysis and Applications, 18(3), 725\u2013737.","journal-title":"Pattern Analysis and Applications"},{"key":"1607_CR28","doi-asserted-by":"crossref","unstructured":"Shen, J., Zou, X., Xu, F., & Xian, Z. (2010). Intelligent recognition of fabric weave patterns using texture orientation features. In International conference on information computing and applications, 2010 (pp. 8\u201315). Berlin: Springer.","DOI":"10.1007\/978-3-642-16339-5_2"},{"key":"1607_CR29","doi-asserted-by":"crossref","unstructured":"Sindagi, V. A., & Patel, V. M. (2017). CNN-based cascaded multi-task learning of high-level prior and density estimation for crowd counting. In 2017 14th IEEE international conference on advanced video and signal based surveillance (AVSS), 2017.","DOI":"10.1109\/AVSS.2017.8078491"},{"issue":"3","key":"1607_CR30","doi-asserted-by":"publisher","first-page":"759","DOI":"10.1007\/s10845-019-01476-x","volume":"31","author":"D Tabernik","year":"2020","unstructured":"Tabernik, D., \u0160ela, S., Skvar\u010d, J., & Sko\u010daj, D. (2020). Segmentation-based deep-learning approach for surface-defect detection. Journal of Intelligent Manufacturing, 31(3), 759\u2013776. https:\/\/doi.org\/10.1007\/s10845-019-01476-x.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"1","key":"1607_CR31","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1109\/TIM.2010.2069850","volume":"60","author":"X Wang","year":"2010","unstructured":"Wang, X., Georganas, N. D., & Petriu, E. M. (2010a). Fabric texture analysis using computer vision techniques. IEEE Transactions on Instrumentation and Measurement, 60(1), 44\u201356.","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"1607_CR32","doi-asserted-by":"crossref","unstructured":"Wang, X., Georganas, N. D., & Petriu, E. M. (2010). Automatic woven fabric structure identification by using principal component analysis and fuzzy clustering. In 2010 IEEE instrumentation and measurement technology conference proceedings, 2010 (pp. 590\u2013595). IEEE.","DOI":"10.1109\/IMTC.2010.5488107"},{"key":"1607_CR33","first-page":"1","volume":"2018","author":"Z Xiao","year":"2018","unstructured":"Xiao, Z., Guo, Y., Geng, L., Wu, J., Zhang, F., Wang, W., et al. (2018a). Automatic recognition of woven fabric pattern based on TILT. Mathematical Problems in Engineering, 2018, 1\u201312.","journal-title":"Mathematical Problems in Engineering"},{"issue":"9","key":"1607_CR34","doi-asserted-by":"publisher","first-page":"1217","DOI":"10.1080\/00405000.2017.1422309","volume":"109","author":"Z Xiao","year":"2018","unstructured":"Xiao, Z., Liu, X., Wu, J., Geng, L., Sun, Y., Zhang, F., et al. (2018b). Knitted fabric structure recognition based on deep learning. The Journal of The Textile Institute, 109(9), 1217\u20131223.","journal-title":"The Journal of The Textile Institute"},{"issue":"12","key":"1607_CR35","doi-asserted-by":"publisher","first-page":"1123","DOI":"10.1177\/0040517508101459","volume":"79","author":"B Xin","year":"2009","unstructured":"Xin, B., Hu, J., Baciu, G., & Yu, X. (2009). Investigation on the classification of weave pattern based on an active grid model. Textile Research Journal, 79(12), 1123\u20131134.","journal-title":"Textile Research Journal"},{"issue":"8","key":"1607_CR36","doi-asserted-by":"publisher","first-page":"496","DOI":"10.1177\/004051759606600803","volume":"66","author":"B Xu","year":"1996","unstructured":"Xu, B. (1996). Identifying fabric structures with fast Fourier transform techniques. Textile Research Journal, 66(8), 496\u2013506.","journal-title":"Textile Research Journal"},{"issue":"3","key":"1607_CR37","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1145\/357994.358023","volume":"27","author":"TY Zhang","year":"1984","unstructured":"Zhang, T. Y., & Suen, C. Y. (1984). A fast parallel algorithm for thinning digital patterns. Communications of the ACM, 27(3), 236\u2013239.","journal-title":"Communications of the ACM"},{"issue":"10","key":"1607_CR38","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1109\/LSP.2016.2603342","volume":"23","author":"K Zhang","year":"2016","unstructured":"Zhang, K., Zhang, Z., Li, Z., & Yu, Q. (2016). Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Signal Processing Letters, 23(10), 1499\u20131503.","journal-title":"IEEE Signal Processing Letters"}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-020-01607-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10845-020-01607-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-020-01607-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,25]],"date-time":"2021-06-25T23:52:52Z","timestamp":1624665172000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10845-020-01607-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,26]]},"references-count":38,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,4]]}},"alternative-id":["1607"],"URL":"https:\/\/doi.org\/10.1007\/s10845-020-01607-9","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"value":"0956-5515","type":"print"},{"value":"1572-8145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6,26]]},"assertion":[{"value":"20 August 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 June 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 June 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}