{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T02:39:24Z","timestamp":1743129564530,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319685472"},{"type":"electronic","value":"9783319685489"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68548-9_11","type":"book-chapter","created":{"date-parts":[[2017,10,12]],"date-time":"2017-10-12T13:05:13Z","timestamp":1507813513000},"page":"116-126","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Bubble Shape Identification and Calculation in Gas-Liquid Slug Flow Using Semi-automatic Image Segmentation"],"prefix":"10.1007","author":[{"given":"Mauren Louise Sguario C.","family":"Andrade","sequence":"first","affiliation":[]},{"given":"Lucia Valeria Ramos","family":"de Arruda","sequence":"additional","affiliation":[]},{"given":"Eduardo Nunes","family":"dos Santos","sequence":"additional","affiliation":[]},{"given":"Daniel Rodrigues","family":"Pipa","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,13]]},"reference":[{"key":"11_CR1","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.cma.2014.08.028","volume":"282","author":"G Allaire","year":"2014","unstructured":"Allaire, G., Dapogny, C., Frey, P.: Shape optimization with a level set based mesh evolution method. Comput. Methods Appl. Mech. Eng. 282, 22\u201353 (2014)","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"11_CR2","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.flowmeasinst.2013.07.006","volume":"33","author":"C do Amaral","year":"2013","unstructured":"do Amaral, C., Alves, R., da Silva, M., Arruda, L., Dorini, L., Morales, R., Pipa, D.: Image processing techniques for high-speed videometry in horizontal two-phase slug flows. Flow Measur. Instrum. 33, 257\u2013264 (2013)","journal-title":"Flow Measur. Instrum."},{"key":"11_CR3","doi-asserted-by":"crossref","DOI":"10.1615\/978-1-56700-233-1.0","volume-title":"Gas - Liquid Flows","author":"B Azzopardi","year":"2006","unstructured":"Azzopardi, B.: Gas - Liquid Flows. Begell House, Danbury (2006)"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Chen, F., Yu, H., Hu, R., Zeng, X.: Deep learning shape priors for object segmentation. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2013","DOI":"10.1109\/CVPR.2013.244"},{"key":"11_CR5","first-page":"430","volume":"1","author":"C Li","year":"2005","unstructured":"Li, C., Xu, C., Gui, C., Fox, M.: Level set evolution without re-initialization: a new variational formulation. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recogn. 1, 430\u2013436 (2005)","journal-title":"IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recogn."},{"issue":"1","key":"11_CR6","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1006\/cviu.1995.1004","volume":"61","author":"TF Cootes","year":"1995","unstructured":"Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active shape models-their training and application. Comput. Vis. Image Underst. 61(1), 38\u201359 (1995)","journal-title":"Comput. Vis. Image Underst."},{"issue":"7","key":"11_CR7","doi-asserted-by":"publisher","first-page":"2245","DOI":"10.1088\/0957-0233\/18\/7\/059","volume":"18","author":"M Da Silva","year":"2007","unstructured":"Da Silva, M., Schleicher, E., Hampel, U.: Capacitance wire-mesh sensor for fast measurement of phase fraction distributions. Meas. Sci. Technol. 18(7), 2245 (2007)","journal-title":"Meas. Sci. Technol."},{"key":"11_CR8","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1016\/S0301-9322(99)00041-5","volume":"25","author":"JR Fagundes Netto","year":"1999","unstructured":"Fagundes Netto, J.R., Fabre, J., Paresson, L.: Shape of long bubbles in horizontal slug flow. Int. J. Multiphase Flow 25, 1129\u20131160 (1999)","journal-title":"Int. J. Multiphase Flow"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Bendiksen, K.H.: An experimental investigation of the motion of long bubbles in inclined tubes. In: Multiphase Flow, pp. 467\u2013483 (1984)","DOI":"10.1016\/0301-9322(84)90057-0"},{"key":"11_CR10","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.ijmultiphaseflow.2014.05.007","volume":"65","author":"L Matamoros","year":"2014","unstructured":"Matamoros, L., Loureiro, J., Freire, A.S.: Length area volume of long bubbles in horizontal slug flow. Int. J. Multiph. Flow 65, 24\u201330 (2014)","journal-title":"Int. J. Multiph. Flow"},{"issue":"6","key":"11_CR11","doi-asserted-by":"publisher","first-page":"2618","DOI":"10.1109\/TIP.2017.2682980","volume":"26","author":"F Mesadi","year":"2017","unstructured":"Mesadi, F., Cetin, M., Tasdizen, T.: Disjunctive normal parametric level set with application to image segmentation. IEEE Trans. Image Process. 26(6), 2618\u20132631 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"11_CR12","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.media.2016.05.009","volume":"35","author":"TA Ngo","year":"2017","unstructured":"Ngo, T.A., Lu, Z., Carneiro, G.: Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance. Med. Image Anal. 35, 159\u2013171 (2017)","journal-title":"Med. Image Anal."},{"issue":"11","key":"11_CR13","doi-asserted-by":"publisher","first-page":"199","DOI":"10.14257\/ijhit.2016.9.11.17","volume":"9","author":"J Peng","year":"2016","unstructured":"Peng, J., Zhang, Y., Liu, G., Jiang, J., Zhao, Y.: MRI segmentation of a prostate based on distance regularized level set evolution with a priori shape. Int. J. Hybrid Inf. Technol. 9(11), 199\u2013206 (2016)","journal-title":"Int. J. Hybrid Inf. Technol."},{"key":"11_CR14","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.flowmeasinst.2014.08.014","volume":"40","author":"DR Pipa","year":"2014","unstructured":"Pipa, D.R., da Silva, M.J., Morales, R.E., Zibetti, M.V.: Typical bubble shape estimation in two-phase flow using inverse problem techniques. Flow Meas. Instrum. 40, 64\u201373 (2014)","journal-title":"Flow Meas. Instrum."},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Santos, E.N., Pipa, D.R., Morales, R.E.M., da Silva, M.J.: Bubble shape estimation in gas-liquid slug flow using wire-mesh sensor and advanced data processing. In: 2014 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings, pp. 308\u2013311, October 2014","DOI":"10.1109\/IST.2014.6958494"},{"key":"11_CR16","unstructured":"Sethian, J.A.: Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics, Computer Vision and Materials Sciences. [S.l.]: Cambridge University Press (1996)"},{"issue":"2","key":"11_CR17","first-page":"98","volume":"4","author":"M Sguario","year":"2016","unstructured":"Sguario, M., Arruda, L., Morales, R.: Segmentation of two-phase flow: a free representation for level set method with a priori knowledge. Comput. Methods Biomech. Biomed. Eng.: Imaging Vis. 4(2), 98\u2013111 (2016)","journal-title":"Comput. Methods Biomech. Biomed. Eng.: Imaging Vis."},{"key":"11_CR18","volume-title":"One-Dimensional Two-Phase Flow","author":"GB Wallis","year":"1969","unstructured":"Wallis, G.B.: One-Dimensional Two-Phase Flow. McGraw-Hill, New York (1969)"},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"Wang, B., Gao, X., Tao, D., Li, X., Balla-Arab\u00e9, S.: Salient object segmentation with a shape-constrained level set. In: Biomedical Image Segmentation: Advances and Trends, p. 371 (2016)","DOI":"10.4324\/9781315372273-17"},{"issue":"Suppl. C","key":"11_CR20","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.neucom.2016.12.071","volume":"257","author":"X Yang","year":"2017","unstructured":"Yang, X., Zhan, S., Xie, D., Zhao, H., Kurihara, T.: Hierarchical prostate MRI segmentation via level set clustering with shape prior. Neurocomputing 257(Suppl. C), 154\u2013163 (2017). doi:10.1016\/j.neucom.2016.12.071. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0925231217301467","journal-title":"Neurocomputing"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing - ICIAP 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68548-9_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:38:58Z","timestamp":1709811538000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-68548-9_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319685472","9783319685489"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68548-9_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"13 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Catania","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iciap2017.com","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}