{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T05:27:02Z","timestamp":1726032422391},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030208660"},{"type":"electronic","value":"9783030208677"}],"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\/978-3-030-20867-7_14","type":"book-chapter","created":{"date-parts":[[2019,6,18]],"date-time":"2019-06-18T19:14:41Z","timestamp":1560885281000},"page":"177-188","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Matrix Morphology with Extremum Principle"],"prefix":"10.1007","author":[{"given":"Martin","family":"Welk","sequence":"first","affiliation":[]},{"given":"Michael","family":"Breu\u00df","sequence":"additional","affiliation":[]},{"given":"Vivek","family":"Sridhar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,31]]},"reference":[{"key":"14_CR1","unstructured":"Arehart, A.B., Vincent, L., Kimia, B.B.: Mathematical morphology: the Hamilton-Jacobi connection. In: Proceedings Fourth International Conference on Computer Vision, pp. 215\u2013219. IEEE Computer Society Press, Berlin, May 1993"},{"key":"14_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1007\/978-3-319-18461-6_37","volume-title":"Scale Space and Variational Methods in Computer Vision","author":"AS Boroujerdi","year":"2015","unstructured":"Boroujerdi, A.S., Breu\u00df, M., Burgeth, B., Kleefeld, A.: PDE-based color morphology using matrix fields. In: Aujol, J.-F., Nikolova, M., Papadakis, N. (eds.) SSVM 2015. LNCS, vol. 9087, pp. 461\u2013473. Springer, Cham (2015). \n                      https:\/\/doi.org\/10.1007\/978-3-319-18461-6_37"},{"key":"14_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1007\/978-3-319-57240-6_24","volume-title":"Mathematical Morphology and Its Applications to Signal and Image Processing","author":"M Breu\u00df","year":"2017","unstructured":"Breu\u00df, M., Hoeltgen, L., Kleefeld, A.: Matrix-valued levelings for colour images. In: Angulo, J., Velasco-Forero, S., Meyer, F. (eds.) ISMM 2017. LNCS, vol. 10225, pp. 296\u2013308. Springer, Cham (2017). \n                      https:\/\/doi.org\/10.1007\/978-3-319-57240-6_24"},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"Brockett, R.W., Maragos, P.: Evolution equations for continuous-scale morphology. In: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 3, San Francisco, CA, pp. 125\u2013128, Mar 1992","DOI":"10.1109\/ICASSP.1992.226260"},{"issue":"3","key":"14_CR5","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1007\/s11263-006-6616-7","volume":"70","author":"A Bruhn","year":"2006","unstructured":"Bruhn, A., Weickert, J., Kohlberger, T., Schn\u00f6rr, C.: A multigrid platform for real-time motion computation with discontinuity-preserving variational methods. Int. J. Comput. Vis. 70(3), 257\u2013277 (2006)","journal-title":"Int. J. Comput. Vis."},{"key":"14_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/978-3-642-38294-9_21","volume-title":"Mathematical Morphology and Its Applications to Signal and Image Processing","author":"B Burgeth","year":"2013","unstructured":"Burgeth, B., Kleefeld, A.: Morphology for color images via loewner order for matrix fields. In: Hendriks, C.L.L., Borgefors, G., Strand, R. (eds.) ISMM 2013. LNCS, vol. 7883, pp. 243\u2013254. Springer, Heidelberg (2013). \n                      https:\/\/doi.org\/10.1007\/978-3-642-38294-9_21"},{"key":"14_CR7","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.patrec.2014.01.018","volume":"47","author":"B Burgeth","year":"2014","unstructured":"Burgeth, B., Kleefeld, A.: An approach to color-morphology based on Einstein addition and Loewner order. Pattern Recogn. Lett. 47, 29\u201339 (2014)","journal-title":"Pattern Recogn. Lett."},{"key":"14_CR8","series-title":"Mathematics and Visualization","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1007\/978-3-642-54301-2_4","volume-title":"Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data","author":"B Burgeth","year":"2014","unstructured":"Burgeth, B., Kleefeld, A.: Order based morphology for color images via matrix fields. In: Westin, C.-F., Vilanova, A., Burgeth, B. (eds.) Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data. Mathematics and Visualization, pp. 75\u201395. Springer, Heidelberg (2014). \n                      https:\/\/doi.org\/10.1007\/978-3-642-54301-2_4"},{"issue":"2","key":"14_CR9","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1007\/s11263-009-0311-4","volume":"92","author":"B Burgeth","year":"2011","unstructured":"Burgeth, B., Pizarro, L., Breu\u00df, M., Weickert, J.: Adaptive continuous-scale morphology for matrix fields. Int. J. Comput. Vis. 92(2), 146\u2013161 (2011)","journal-title":"Int. J. Comput. Vis."},{"key":"14_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/978-3-540-24673-2_13","volume-title":"Computer Vision - ECCV 2004","author":"B Burgeth","year":"2004","unstructured":"Burgeth, B., Welk, M., Feddern, C., Weickert, J.: Morphological operations on matrix-valued images. In: Pajdla, T., Matas, J. (eds.) ECCV 2004, Part IV. LNCS, vol. 3024, pp. 155\u2013167. Springer, Heidelberg (2004). \n                      https:\/\/doi.org\/10.1007\/978-3-540-24673-2_13"},{"key":"14_CR11","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1007\/3-540-31272-2_22","volume-title":"Visualization and Processing of Tensor Fields","author":"B Burgeth","year":"2006","unstructured":"Burgeth, B., Welk, M., Feddern, C., Weickert, J.: Mathematical morphology on tensor data using the Loewner ordering. In: Weickert, J., Hagen, H. (eds.) Visualization and Processing of Tensor Fields, pp. 357\u2013368. Springer, Heidelberg (2006). \n                      https:\/\/doi.org\/10.1007\/3-540-31272-2_22"},{"key":"14_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-78977-4","volume-title":"Optimization \u2013 Theory and Practice","author":"W Forst","year":"2010","unstructured":"Forst, W., Hoffmann, D.: Optimization \u2013 Theory and Practice. Springer, New York (2010). \n                      https:\/\/doi.org\/10.1007\/978-0-387-78977-4"},{"key":"14_CR13","unstructured":"F\u00f6rstner, W., G\u00fclch, E.: A fast operator for detection and precise location of distinct points, corners and centres of circular features. In: Proceedings ISPRS Intercommission Conference on Fast Processing of Photogrammetric Data, Interlaken, Switzerland, pp. 281\u2013305, June 1987"},{"key":"14_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/978-3-319-15979-9_15","volume-title":"Computational Color Imaging","author":"A Kleefeld","year":"2015","unstructured":"Kleefeld, A., Breu\u00df, M., Welk, M., Burgeth, B.: Adaptive filters for color images: median filtering and its extensions. In: Tr\u00e9meau, A., Schettini, R., Tominaga, S. (eds.) CCIW 2015. LNCS, vol. 9016, pp. 149\u2013158. Springer, Cham (2015). \n                      https:\/\/doi.org\/10.1007\/978-3-319-15979-9_15"},{"key":"14_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88378-4","volume-title":"Visualization and Processing of Tensor Fields: Advances and Perspectives","year":"2009","unstructured":"Laidlaw, D., Weickert, J. (eds.): Visualization and Processing of Tensor Fields: Advances and Perspectives. Springer, Heidelberg (2009). \n                      https:\/\/doi.org\/10.1007\/978-3-540-88378-4"},{"key":"14_CR16","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/BF01170633","volume":"38","author":"K L\u00f6wner","year":"1934","unstructured":"L\u00f6wner, K.: \u00dcber monotone Matrixfunktionen. Mathematische Zeitschrift 38, 177\u2013216 (1934)","journal-title":"Mathematische Zeitschrift"},{"issue":"3","key":"14_CR17","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1148\/radiology.201.3.8939209","volume":"201","author":"C Pierpaoli","year":"1996","unstructured":"Pierpaoli, C., Jezzard, P., Basser, P.J., Barnett, A., Di Chiro, G.: Diffusion tensor MR imaging of the human brain. Radiology 201(3), 637\u2013648 (1996)","journal-title":"Radiology"},{"key":"14_CR18","doi-asserted-by":"publisher","first-page":"867","DOI":"10.1137\/0729053","volume":"29","author":"E Rouy","year":"1992","unstructured":"Rouy, E., Tourin, A.: A viscosity solutions approach to shape-from-shading. SIAM J. Numer. Anal. 29, 867\u2013884 (1992)","journal-title":"SIAM J. Numer. Anal."},{"key":"14_CR19","doi-asserted-by":"publisher","first-page":"1363","DOI":"10.1016\/0031-3203(93)90142-J","volume":"26","author":"G Sapiro","year":"1993","unstructured":"Sapiro, G., Kimmel, R., Shaked, D., Kimia, B.B., Bruckstein, A.M.: Implementing continuous-scale morphology via curve evolution. Pattern Recogn. 26, 1363\u20131372 (1993)","journal-title":"Pattern Recogn."},{"key":"14_CR20","unstructured":"Weickert, J.: Anisotropic Diffusion in Image Processing. Teubner, Stuttgart (1998)"},{"key":"14_CR21","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-31272-2","volume-title":"Visualization and Processing of Tensor Fields","year":"2006","unstructured":"Weickert, J., Hagen, H. (eds.): Visualization and Processing of Tensor Fields. Springer, Heidelberg (2006). \n                      https:\/\/doi.org\/10.1007\/3-540-31272-2"},{"key":"14_CR22","first-page":"1","volume":"1","author":"M Welk","year":"2016","unstructured":"Welk, M., Kleefeld, A., Breu\u00df, M.: Quantile filtering of colour images via symmetric matrices. Math. Morphol. Theor. Appl. 1, 1\u201340 (2016)","journal-title":"Math. Morphol. Theor. Appl."},{"key":"14_CR23","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1016\/j.sigpro.2005.12.013","volume":"87","author":"M Welk","year":"2007","unstructured":"Welk, M., Weickert, J., Becker, F., Schn\u00f6rr, C., Feddern, C., Burgeth, B.: Median and related local filters for tensor-valued images. Sign. Process. 87, 291\u2013308 (2007)","journal-title":"Sign. Process."},{"key":"14_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-54301-2","volume-title":"Visualization and Processing of Tensor Fields and Higher Order Descriptors for Multi-Valued Data","year":"2014","unstructured":"Westin, C.F., Vilanova, A., Burgeth, B. (eds.): Visualization and Processing of Tensor Fields and Higher Order Descriptors for Multi-Valued Data. Springer, Heidelberg (2014). \n                      https:\/\/doi.org\/10.1007\/978-3-642-54301-2"}],"container-title":["Lecture Notes in Computer Science","Mathematical Morphology and Its Applications to Signal and Image Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20867-7_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,18]],"date-time":"2019-06-18T19:16:47Z","timestamp":1560885407000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20867-7_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030208660","9783030208677"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20867-7_14","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 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISMM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Saarbr\u00fccken","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","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 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ismm2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ismm.uni-saarland.de\/","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"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"54","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"41","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"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"}},{"value":"3-4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}