{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T18:26:19Z","timestamp":1742927179053,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030317225"},{"type":"electronic","value":"9783030317232"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-31723-2_43","type":"book-chapter","created":{"date-parts":[[2019,10,31]],"date-time":"2019-10-31T00:05:31Z","timestamp":1572480331000},"page":"508-518","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Level Set Image Segmentation Based on Non-independent and Identically Distributed"],"prefix":"10.1007","author":[{"given":"Yaxin","family":"Wang","sequence":"first","affiliation":[]},{"given":"Yuanfeng","family":"Lian","sequence":"additional","affiliation":[]},{"given":"Dianzhong","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jianbin","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,31]]},"reference":[{"issue":"1","key":"43_CR1","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/0021-9991(88)90002-2","volume":"79","author":"S Osher","year":"1988","unstructured":"Osher, S., Sethian, J.A.: Fronts propagating with curvature dependent speed algorithms based on Hamilton-Jacobi formulations. J. Comput. Phys. 79(1), 12\u201349 (1988)","journal-title":"J. Comput. Phys."},{"issue":"1","key":"43_CR2","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1023\/A:1007979827043","volume":"22","author":"C Vicent","year":"1997","unstructured":"Vicent, C., Ron, K., Guillermo, S.: Geodesic active contours. Int. J. Comput. Vis. 22(1), 61\u201379 (1997)","journal-title":"Int. J. Comput. Vis."},{"issue":"2","key":"43_CR3","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1109\/83.902291","volume":"10","author":"F Tony","year":"2001","unstructured":"Tony, F., Luminita, A.: Active contours without edges. IEEE Trans. Image Process. 10(2), 266\u2013277 (2001)","journal-title":"IEEE Trans. Image Process."},{"issue":"6","key":"43_CR4","doi-asserted-by":"publisher","first-page":"1179","DOI":"10.1109\/TIP.2009.2017343","volume":"18","author":"B Olivier","year":"2009","unstructured":"Olivier, B., Denis, F., Philippe, T., et al.: Variational b-spline level-set: a linear filtering approach for fast deformable model evolution. IEEE Trans. Image Process. 18(6), 1179\u20131191 (2009)","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"43_CR5","doi-asserted-by":"publisher","first-page":"2007","DOI":"10.1109\/TIP.2010.2103950","volume":"20","author":"C Li","year":"2011","unstructured":"Li, C., Huang, R., Ding, Z., et al.: A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI. IEEE Trans. Image Process. 20(7), 2007\u20132016 (2011)","journal-title":"IEEE Trans. Image Process."},{"issue":"5","key":"43_CR6","first-page":"943","volume":"44","author":"F Zhang","year":"2017","unstructured":"Zhang, F., Zhang, X.: Distance regularized level set image segmentation based on dislocation theory. J. Autom. 44(5), 943\u2013952 (2017)","journal-title":"J. Autom."},{"issue":"11","key":"43_CR7","first-page":"1913","volume":"41","author":"Y Zhang","year":"2015","unstructured":"Zhang, Y., Guo, H.: Level set image segmentation based on rough set and new energy formula. J. Autom. 41(11), 1913\u20131925 (2015)","journal-title":"J. Autom."},{"issue":"1","key":"43_CR8","first-page":"12","volume":"39","author":"Y Zhu","year":"2018","unstructured":"Zhu, Y., Weng, G.: Evolution model of distance rule level set with energy enhancement of area term. Cartography J. 39(1), 12\u201320 (2018)","journal-title":"Cartography J."},{"key":"43_CR9","doi-asserted-by":"crossref","unstructured":"Shi, Y., Li, W., Gao, Y., Cao, L., et al.: Beyond IID: learning to combine non-IID metrics for vision tasks. In: AAAI-17 (2017)","DOI":"10.1609\/aaai.v31i1.10748"},{"key":"43_CR10","doi-asserted-by":"crossref","unstructured":"Teney, D., Brown, M., Kit, D., Hall, P.: Learning similarity metrics for dynamic scene segmentation. In: CVPR 2015 (2015)","DOI":"10.1109\/CVPR.2015.7298820"},{"issue":"02","key":"43_CR11","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/J.ENG.2016.02.013","volume":"2","author":"L Cao","year":"2016","unstructured":"Cao, L.: Independent and distributed recommendation system: summary and framework of recommendation paradigm conversion. Engineering 2(02), 138\u2013165 (2016)","journal-title":"Engineering"},{"key":"43_CR12","doi-asserted-by":"crossref","unstructured":"Torresani, L., Lee, K.: Large margin component analysis. In: NIPS, pp. 1385\u20131392(2007)","DOI":"10.7551\/mitpress\/7503.003.0178"},{"issue":"11","key":"43_CR13","doi-asserted-by":"publisher","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","volume":"34","author":"R Achanta","year":"2012","unstructured":"Achanta, R., Shaji, A., Smith, K., et al.: SLIC superpixels compared to state-of-the-art superpixel methods. TPAMI 34(11), 2274\u20132282 (2012)","journal-title":"TPAMI"},{"issue":"2","key":"43_CR14","first-page":"281","volume":"18","author":"K Zhang","year":"2009","unstructured":"Zhang, K., Xu, S., Zhou, W., et al.: Active contours based on image laplacian fitting energy. Chin. J. Electron. 18(2), 281\u2013284 (2009)","journal-title":"Chin. J. Electron."},{"issue":"2","key":"43_CR15","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1016\/j.patcog.2009.03.004","volume":"43","author":"J Ning","year":"2010","unstructured":"Ning, J., Zhang, L., Zhang, D., et al.: Interactive image segmentation by maximal similarity-based region merging. Pattern Recogn. 43(2), 445\u2013456 (2010)","journal-title":"Pattern Recogn."},{"issue":"10","key":"43_CR16","doi-asserted-by":"publisher","first-page":"1940","DOI":"10.1109\/TIP.2008.2002304","volume":"17","author":"C Li","year":"2008","unstructured":"Li, C., Kao, C., et al.: Minimization of region-scalable fitting energy for image segmentation. IEEE Trans. Image Process. 17(10), 1940\u20131949 (2008)","journal-title":"IEEE Trans. Image Process."},{"key":"43_CR17","doi-asserted-by":"crossref","unstructured":"Tang, M., Gorelick, L., Olga, V., et al.: GrabCut in one cut. In: ICCV 2013 (2013)","DOI":"10.1109\/ICCV.2013.222"},{"issue":"3","key":"43_CR18","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1145\/1015706.1015720","volume":"23","author":"R Carsten","year":"2004","unstructured":"Carsten, R., Vladimir, K., Andrew, B.: Grab cut: interactive foreground extraction using iterated graph cuts. ACM Trans. Graph. 23(3), 309\u2013314 (2004)","journal-title":"ACM Trans. Graph."},{"issue":"11","key":"43_CR19","doi-asserted-by":"publisher","first-page":"1768","DOI":"10.1109\/TPAMI.2006.233","volume":"28","author":"G Leo","year":"2006","unstructured":"Leo, G.: Random walks for image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 28(11), 1768\u20131783 (2006)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"12","key":"43_CR20","doi-asserted-by":"publisher","first-page":"3243","DOI":"10.1109\/TIP.2010.2069690","volume":"19","author":"C Li","year":"2010","unstructured":"Li, C., Xu, C., et al.: Distance regularized level set evolution and its application to image segmentation. IEEE Trans. Image Process. 19(12), 3243\u20133254 (2010)","journal-title":"IEEE Trans. Image Process."},{"key":"43_CR21","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1109\/TPAMI.2014.2345401","volume":"37","author":"M Cheng","year":"2015","unstructured":"Cheng, M., Mitra, N., et al.: Global contrast based salient region detection. IEEE Trans. Pattern Anal. Mach. Intell. 37, 569\u2013582 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-31723-2_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T00:26:37Z","timestamp":1730334397000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-31723-2_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030317225","9783030317232"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-31723-2_43","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":"31 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.prcv2019.com\/en\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"412","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":"165","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":"40% - 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":"4","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":"4","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}