{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T11:55:27Z","timestamp":1742990127683,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030140847"},{"type":"electronic","value":"9783030140854"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-14085-4_2","type":"book-chapter","created":{"date-parts":[[2019,2,22]],"date-time":"2019-02-22T16:39:58Z","timestamp":1550853598000},"page":"15-26","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Digital Curvature Evolution Model for Image Segmentation"],"prefix":"10.1007","author":[{"given":"Daniel","family":"Antunes","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacques-Olivier","family":"Lachaud","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hugues","family":"Talbot","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,2,23]]},"reference":[{"issue":"1","key":"2_CR1","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1007\/s10851-005-4968-1","volume":"23","author":"B Appleton","year":"2005","unstructured":"Appleton, B., Talbot, H.: Globally optimal geodesic active contours. J. Math. Imaging Vis. 23(1), 67\u201386 (2005)","journal-title":"J. Math. Imaging Vis."},{"key":"2_CR2","unstructured":"Boykov, Y.Y., Jolly, M.P.: Interactive graph cuts for optimal boundary & region segmentation of objects in n-d images. In: Proceedings Eighth IEEE International Conference on Computer Vision, ICCV 2001, vol. 1, pp. 105\u2013112 (2001)"},{"issue":"1","key":"2_CR3","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1023\/A:1007979827043","volume":"22","author":"V Caselles","year":"1997","unstructured":"Caselles, V., Kimmel, R., Sapiro, G.: Geodesic active contours. Int. J. Comput. Vis. 22(1), 61\u201379 (1997)","journal-title":"Int. J. Comput. Vis."},{"issue":"2","key":"2_CR4","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1109\/TPAMI.2004.1262194","volume":"26","author":"D Coeurjolly","year":"2004","unstructured":"Coeurjolly, D., Klette, R.: A comparative evaluation of length estimators of digital curves. IEEE Trans. Pattern Anal. Mach. Intell. 26(2), 252\u2013258 (2004)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1007\/978-3-642-37067-0_19","volume-title":"Discrete Geometry for Computer Imagery","author":"D Coeurjolly","year":"2013","unstructured":"Coeurjolly, D., Lachaud, J.-O., Levallois, J.: Integral based curvature estimators in digital geometry. In: Gonzalez-Diaz, R., Jimenez, M.-J., Medrano, B. (eds.) DGCI 2013. LNCS, vol. 7749, pp. 215\u2013227. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-37067-0_19"},{"key":"2_CR6","series-title":"Lecture Notes in Computational Vision and Biomechanics","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/978-94-007-4174-4_13","volume-title":"Digital Geometry Algorithms","author":"D Coeurjolly","year":"2012","unstructured":"Coeurjolly, D., Lachaud, J.O., Roussillon, T.: Multigrid convergence of discrete geometric estimators. In: Brimkov, V., Barneva, R. (eds.) Digital Geometry Algorithms. LNCVB, vol. 2, pp. 395\u2013424. Springer, Dordrecht (2012). https:\/\/doi.org\/10.1007\/978-94-007-4174-4_13"},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"El-Zehiry, N.Y., Grady, L.: Fast global optimization of curvature. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 3257\u20133264, June 2010","DOI":"10.1109\/CVPR.2010.5540057"},{"issue":"2","key":"2_CR8","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1109\/TPAMI.2004.1262177","volume":"26","author":"V Kolmogorov","year":"2004","unstructured":"Kolmogorov, V., Zabin, R.: What energy functions can be minimized via graph cuts? IEEE Trans. Pattern Anal. Mach. Intell. 26(2), 147\u2013159 (2004)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2_CR9","unstructured":"Lachaud, J.O.: Non-Euclidean spaces and image analysis: Riemannian and discrete deformable models, discrete topology and geometry. Ph.D. thesis, Universit\u00e9 Sciences et Technologies - Bordeaux I, December 2006. https:\/\/tel.archives-ouvertes.fr\/tel-00396332"},{"issue":"10","key":"2_CR10","doi-asserted-by":"publisher","first-page":"1572","DOI":"10.1016\/j.imavis.2006.06.019","volume":"25","author":"JO Lachaud","year":"2007","unstructured":"Lachaud, J.O., Vialard, A., de Vieilleville, F.: Fast, accurate and convergent tangent estimation on digital contours. Image Vis. Comput. 25(10), 1572\u20131587 (2007)","journal-title":"Image Vis. Comput."},{"key":"2_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1007\/978-3-540-24673-2_8","volume-title":"Computer Vision - ECCV 2004","author":"S Manay","year":"2004","unstructured":"Manay, S., Hong, B.-W., Yezzi, A.J., Soatto, S.: Integral invariant signatures. In: Pajdla, T., Matas, J. (eds.) ECCV 2004. LNCS, vol. 3024, pp. 87\u201399. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-24673-2_8"},{"key":"2_CR12","unstructured":"Masnou, S., Morel, J.M.: Level lines based disocclusion. In: Proceedings 1998 International Conference on Image Processing, ICIP98 (Cat. No. 98CB36269), vol. 3, pp. 259\u2013263, October 1998"},{"key":"2_CR13","doi-asserted-by":"crossref","unstructured":"Nieuwenhuis, C., Toeppe, E., Gorelick, L., Veksler, O., Boykov, Y.: Efficient squared curvature. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp. 4098\u20134105, June 2014","DOI":"10.1109\/CVPR.2014.522"},{"issue":"1","key":"2_CR14","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.cagd.2008.01.002","volume":"26","author":"H Pottmann","year":"2009","unstructured":"Pottmann, H., Wallner, J., Huang, Q.X., Yang, Y.L.: Integral invariants for robust geometry processing. Comput. Aided Geom. Des. 26(1), 37\u201360 (2009)","journal-title":"Comput. Aided Geom. Des."},{"key":"2_CR15","doi-asserted-by":"crossref","unstructured":"Rother, C., Kolmogorov, V., Lempitsky, V.S., Szummer, M.: Optimizing binary MRFs via extended roof duality. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20138 (2007)","DOI":"10.1109\/CVPR.2007.383203"},{"key":"2_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/978-3-642-21073-0_7","volume-title":"Combinatorial Image Analysis","author":"T Roussillon","year":"2011","unstructured":"Roussillon, T., Lachaud, J.-O.: Accurate curvature estimation along digital contours with maximal digital circular arcs. In: Aggarwal, J.K., Barneva, R.P., Brimkov, V.E., Koroutchev, K.N., Korutcheva, E.R. (eds.) IWCIA 2011. LNCS, vol. 6636, pp. 43\u201355. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-21073-0_7"},{"issue":"3","key":"2_CR17","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1007\/s10851-016-0685-1","volume":"57","author":"A Schindele","year":"2017","unstructured":"Schindele, A., Massopust, P., Forster, B.: Multigrid convergence for the MDCA curvature estimator. J. Math. Imaging Vis. 57(3), 423\u2013438 (2017)","journal-title":"J. Math. Imaging Vis."},{"key":"2_CR18","doi-asserted-by":"crossref","unstructured":"Schoenemann, T., Kahl, F., Cremers, D.: Curvature regularity for region-based image segmentation and inpainting: a linear programming relaxation. In: 2009 IEEE 12th International Conference on Computer Vision, pp. 17\u201323, September 2009","DOI":"10.1109\/ICCV.2009.5459209"}],"container-title":["Lecture Notes in Computer Science","Discrete Geometry for Computer Imagery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-14085-4_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,19]],"date-time":"2023-03-19T01:07:10Z","timestamp":1679188030000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-14085-4_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030140847","9783030140854"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-14085-4_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"23 February 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DGCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Discrete Geometry for Computer Imagery","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marne-la-Vall\u00e9e","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 March 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 March 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dgci2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dgci2019.sciencesconf.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"76% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1-2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}