{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T04:56:11Z","timestamp":1770526571420,"version":"3.49.0"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"18","license":[{"start":{"date-parts":[[2018,1,23]],"date-time":"2018-01-23T00:00:00Z","timestamp":1516665600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["U1609216"],"award-info":[{"award-number":["U1609216"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Natural Science Foundation of Zhejiang Province (CN)","award":["LY17F010020"],"award-info":[{"award-number":["LY17F010020"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1007\/s11042-018-5639-8","type":"journal-article","created":{"date-parts":[[2018,1,23]],"date-time":"2018-01-23T15:15:30Z","timestamp":1516720530000},"page":"23227-23244","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["An automatic aperture detection system for LED cup based on machine vision"],"prefix":"10.1007","volume":"77","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8613-7822","authenticated-orcid":false,"given":"Yuxiang","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanting","family":"Lou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingyu","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guojin","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,1,23]]},"reference":[{"key":"5639_CR1","doi-asserted-by":"crossref","unstructured":"Chen X, Zhou W, Liu H et al (2012) In-situ particle measurement with blurred image processing using telecentric lenses. IEEE International Conference on Imaging Systems and Techniques (IST) 350-355","DOI":"10.1109\/IST.2012.6295547"},{"issue":"4","key":"5639_CR2","doi-asserted-by":"crossref","first-page":"996","DOI":"10.1109\/TSMCA.2012.2223670","volume":"43","author":"J Cui","year":"2013","unstructured":"Cui J, Liu Y, Xu Y et al (2013) Tracking generic human motion via fusion of low and high-dimensional approaches. IEEE Trans Syst Man Cybern Syst 43(4):996\u20131002","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"5","key":"5639_CR3","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1049\/iet-cvi.2012.0125","volume":"7","author":"S Darwish","year":"2012","unstructured":"Darwish S (2012) Soft computing applied to the build of textile defects inspection system. IET Comput Vis 7(5):373\u2013381","journal-title":"IET Comput Vis"},{"key":"5639_CR4","doi-asserted-by":"crossref","unstructured":"Fan C, Liu C (2015) A novel algorithm for circle curve fitting based on the least square method by the points of the Newton's rings. 2015 International Conference on Computers, Communications, and Systems (ICCCS) 256-260","DOI":"10.1109\/CCOMS.2015.7562911"},{"issue":"3","key":"5639_CR5","doi-asserted-by":"crossref","first-page":"720","DOI":"10.1109\/JSTQE.2011.2105859","volume":"17","author":"W Feng","year":"2011","unstructured":"Feng W, He Y, Shi FG (2011) Investigation of LED light output performance characteristics under different alternating current regulation modes. IEEE J Sel Top Quantum Electron 17(3):720\u2013723","journal-title":"IEEE J Sel Top Quantum Electron"},{"issue":"4","key":"5639_CR6","doi-asserted-by":"crossref","first-page":"878","DOI":"10.1109\/TIM.2013.2283741","volume":"63","author":"H Feng","year":"2014","unstructured":"Feng H, Jiang Z, Xie F et al (2014) Automatic fastener classification and defect detection in vision-based railway inspection systems. IEEE Trans Instrum Meas 63(4):878\u2013888","journal-title":"IEEE Trans Instrum Meas"},{"key":"5639_CR7","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.patcog.2016.11.021","volume":"66","author":"SH Hanzaeia","year":"2017","unstructured":"Hanzaeia SH, Afshara A (2017) Automatic detection and classification of the ceramic tiles\u2019 surface defects. Pattern Recogn 66:174\u2013189","journal-title":"Pattern Recogn"},{"key":"5639_CR8","unstructured":"He K, Zhang X, Ren S et al (2016) Dep residual learning for image recognition. IEEE Conference on Computer Vision and Pattern Recognition 770-778"},{"key":"5639_CR9","doi-asserted-by":"crossref","unstructured":"Inan MN, Arik M (2014) Development of figure of merits for energy efficient LED lighting system. IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), 260-266","DOI":"10.1109\/ITHERM.2014.6892290"},{"key":"5639_CR10","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1016\/j.asoc.2016.10.030","volume":"52","author":"C Jian","year":"2017","unstructured":"Jian C, Gao J, Ao Y (2017) Automatic surface defect detection for mobile phone screen glassbased on machine vision. Appl Soft Comput 52:348\u2013358","journal-title":"Appl Soft Comput"},{"key":"5639_CR11","doi-asserted-by":"crossref","first-page":"1834","DOI":"10.1016\/j.ijleo.2012.02.045","volume":"123","author":"L Jiang","year":"2012","unstructured":"Jiang L (2012) Efficient randomized Hough transform for circle detection using novel probability sampling and feature points. Optik 123:1834\u20131840","journal-title":"Optik"},{"issue":"2","key":"5639_CR12","first-page":"2012","volume":"60","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) ImageNet classification with deep convolutional neural networks. Commun ACM 60(2):2012","journal-title":"Commun ACM"},{"key":"5639_CR13","unstructured":"Leel J, Park P (2013) Inspection of defect on lcd panel using local meanalgorithm based on similarity. International Conference on Control, Automationand Systems 584\u2013588"},{"key":"5639_CR14","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.optlaseng.2016.05.007","volume":"89","author":"GD Leo","year":"2017","unstructured":"Leo GD, Liguori C, Pietrosanto A et al (2017) A vision system for the online quality monitoring of industrial manufacturing. Opt Lasers Eng 89:162\u2013168","journal-title":"Opt Lasers Eng"},{"issue":"8","key":"5639_CR15","doi-asserted-by":"crossref","first-page":"2189","DOI":"10.1109\/TIM.2012.2184959","volume":"61","author":"Q Li","year":"2012","unstructured":"Li Q, Ren S (2012) A real-time visual inspection system for discrete surface defects of rail heads. IEEE Trans Instrum Meas 61(8):2189\u20132199","journal-title":"IEEE Trans Instrum Meas"},{"key":"5639_CR16","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.measurement.2016.03.016","volume":"87","author":"X Li","year":"2016","unstructured":"Li X, Zhang J (2016) A joint method for the maximum inscribed circle and minimum circumscribed circle. Measurement 87:189\u2013193","journal-title":"Measurement"},{"key":"5639_CR17","unstructured":"Liao H, Chen Z, Zhang X (2014) Calibration of camera with small FOV and DOF telecentric lens. IEEE International Conference on Robotics and Biomimetics (ROBIO) 498-503"},{"issue":"2","key":"5639_CR18","first-page":"1","volume":"13","author":"G Lisanti","year":"2015","unstructured":"Lisanti G, Karaman S, Pezzatini D et al (2015) A multi-camera image processing and visualization system for train safety assessment. Multimed Tool Appl 13(2):1\u201322","journal-title":"Multimed Tool Appl"},{"key":"5639_CR19","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.neucom.2015.08.096","volume":"181","author":"Y Liu","year":"2016","unstructured":"Liu Y, Nie L, Liu L et al (2016) From action to activity: Sensor-based activity recognition. Neurocomputing 181:108\u2013115","journal-title":"Neurocomputing"},{"key":"5639_CR20","doi-asserted-by":"crossref","unstructured":"Liu L, Cheng L, Liu Y et al (2016) Recognizing complex activities by a probabilistic interval-based model. Thirtieth AAAI Conference on Artificial Intelligence 1266-1272","DOI":"10.1609\/aaai.v30i1.10155"},{"issue":"12","key":"5639_CR21","doi-asserted-by":"crossref","first-page":"2787","DOI":"10.1109\/TIM.2016.2601003","volume":"65","author":"F Liu","year":"2016","unstructured":"Liu F, Xu G, Liang L et al (2016) Minimum circumscribed circle and maximum inscribed circle of roundness deviation evaluation with intersecting chord method. IEEE Trans Instrum Meas 65(12):2787\u20132796","journal-title":"IEEE Trans Instrum Meas"},{"issue":"8","key":"5639_CR22","doi-asserted-by":"crossref","first-page":"10701","DOI":"10.1007\/s11042-015-3188-y","volume":"76","author":"Y Lu","year":"2017","unstructured":"Lu Y, Wei Y, Liu L et al (2017) Towards unsupervised physical activity recognition using smartphone accelerometers. Multimed Tool Appl 76(8):10701\u201310719","journal-title":"Multimed Tool Appl"},{"key":"5639_CR23","unstructured":"Marfia G, Roccetti M (2016) A practical computer based vision system for posture and movement sensing in occupational medicine. Multimed Tool Appl 76(6):8109\u20138129"},{"key":"5639_CR24","first-page":"348","volume":"2","author":"F Meng","year":"2011","unstructured":"Meng F, Xu C, Li H et al (2011) Quick algorithm of maximum inscribed circle method for roundness evaluation. Intern Conf Syst Sci Eng Des Manufact inform 2:348\u2013351","journal-title":"Intern Conf Syst Sci Eng Des Manufact inform"},{"key":"5639_CR25","unstructured":"Rehman MMU, Shabbir H, Rehman SA et al (2013) A comparative analysis of electrical and photo characteristics of LED lights. 10th International Conference on Frontiers of Information Technology (FIT) 219-224"},{"issue":"1","key":"5639_CR26","doi-asserted-by":"crossref","first-page":"780","DOI":"10.1016\/j.eswa.2011.07.073","volume":"39","author":"J Sanchis","year":"2012","unstructured":"Sanchis J, Guerrero D, Olivas E et al (2012) Detectingrottenness caused by penicillium genus fungi in citrus fruits usingmachine learning techniques. Expert Syst Appl 39(1):780\u2013785","journal-title":"Expert Syst Appl"},{"key":"5639_CR27","unstructured":"Simonyan K, Zisserman A (2015) Very deep convolutional networks for large-scale image recognition. International Conference on Learning Representations"},{"issue":"2","key":"5639_CR28","first-page":"181","volume":"11","author":"Y Sun","year":"2003","unstructured":"Sun Y, Che R (2003) Novel method for solving maximum inscribed circle. Opt Precis Eng 11(2):181\u2013185","journal-title":"Opt Precis Eng"},{"key":"5639_CR29","doi-asserted-by":"crossref","unstructured":"Szegedy C, Liu W, Jia Y et al (2015) Going Deeper with Convolutions. IEEE Conference on Computer Vision and Pattern Recognition 1-9","DOI":"10.1109\/CVPR.2015.7298594"},{"issue":"6","key":"5639_CR30","first-page":"708","volume":"43","author":"Z Wang","year":"2013","unstructured":"Wang Z, Hu B (2013) Algorithm of semicircular laser spot detection based on circle fitting. Infrared Laser Eng 43(6):708\u2013711","journal-title":"Infrared Laser Eng"},{"key":"5639_CR31","doi-asserted-by":"crossref","unstructured":"Wang J, Liu Y, Zhang D et al (2017) A new computer vision based multi-indentation inspection system for ceramics. Multimed Tool Appl 76(2):2495\u20132513","DOI":"10.1007\/s11042-015-3223-z"},{"issue":"C","key":"5639_CR32","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.sigpro.2015.10.028","volume":"124","author":"Y Yang","year":"2016","unstructured":"Yang Y, Zha ZJ, Gao M et al (2016) A robust vision inspection system for detecting surface defects of film capacitors. Signal Process 124(C):54\u201362","journal-title":"Signal Process"},{"key":"5639_CR33","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.eswa.2015.12.019","volume":"51","author":"Z Yao","year":"2016","unstructured":"Yao Z, Yi W (2016) Curvature aided Hough transform for circle detection. Expert Syst Appl 51:26\u201333","journal-title":"Expert Syst Appl"},{"key":"5639_CR34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1177\/1729881416664901","volume":"13","author":"K Zidek","year":"2016","unstructured":"Zidek K, Maxim V, Pitel J et al (2016) Embedded vision equipment of industrialrobot for inline detection of product errorsby clustering\u2013classification algorithms. Int J Adv Robot Syst 13:1\u201310","journal-title":"Int J Adv Robot Syst"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-5639-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-5639-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-5639-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,13]],"date-time":"2022-08-13T01:45:52Z","timestamp":1660355152000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-5639-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,23]]},"references-count":34,"journal-issue":{"issue":"18","published-print":{"date-parts":[[2018,9]]}},"alternative-id":["5639"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-5639-8","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1,23]]}}}