{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T05:27:11Z","timestamp":1726032431830},"publisher-location":"Cham","reference-count":26,"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_27","type":"book-chapter","created":{"date-parts":[[2019,6,18]],"date-time":"2019-06-18T19:14:41Z","timestamp":1560885281000},"page":"350-361","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Fast Marching Based Superpixels Generation"],"prefix":"10.1007","author":[{"given":"Kaiwen","family":"Chang","sequence":"first","affiliation":[]},{"given":"Bruno","family":"Figliuzzi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,31]]},"reference":[{"issue":"1","key":"27_CR1","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/s11263-006-0018-8","volume":"75","author":"CL Zitnick","year":"2007","unstructured":"Zitnick, C.L., Kang, S.B.: Stereo for image-based rendering using image over-segmentation. Int. J. Comput. Vis. 75(1), 49\u201365 (2007)","journal-title":"Int. J. Comput. Vis."},{"key":"27_CR2","doi-asserted-by":"crossref","unstructured":"Fulkerson, B., Vedaldi, A., Soatto, S.: Class segmentation and object localization with superpixel neighborhoods. In: 2009 IEEE 12th International Conference on Computer Vision, pp. 670\u2013677. IEEE (2009)","DOI":"10.1109\/ICCV.2009.5459175"},{"key":"27_CR3","doi-asserted-by":"crossref","unstructured":"Stutz, D., Hermans, A., Leibe, B.: Superpixels: an evaluation of the state-of-the-art. Comput. Vis. Image Underst. (2017)","DOI":"10.1016\/j.cviu.2017.03.007"},{"issue":"11","key":"27_CR4","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., Lucchi, A., Fua, P., S\u00fcsstrunk, S.: SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans. Pattern Anal. Mach. Intell. 34(11), 2274\u20132282 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"27_CR5","doi-asserted-by":"crossref","unstructured":"Machairas, V., Decenciere, E., Walter, T.: Waterpixels: superpixels based on the watershed transformation. In: 2014 IEEE International Conference on Image Processing (ICIP), October, pp. 4343\u20134347 (2014)","DOI":"10.1109\/ICIP.2014.7025882"},{"issue":"8","key":"27_CR6","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi, J., Malik, J.: Normalized cuts and image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 22(8), 888\u2013905 (2000)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"27_CR7","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1023\/A:1011174803800","volume":"43","author":"J Malik","year":"2001","unstructured":"Malik, J., Belongie, S., Leung, T., Shi, J.: Contour and texture analysis for image segmentation. Int. J. Comput. Vis. 43(1), 7\u201327 (2001)","journal-title":"Int. J. Comput. Vis."},{"issue":"2","key":"27_CR8","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1023\/B:VISI.0000022288.19776.77","volume":"59","author":"PF Felzenszwalb","year":"2004","unstructured":"Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient graph-based image segmentation. Int. J. Comput. Vis. 59(2), 167\u2013181 (2004)","journal-title":"Int. J. Comput. Vis."},{"issue":"5","key":"27_CR9","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1109\/34.1000236","volume":"24","author":"D Comaniciu","year":"2002","unstructured":"Comaniciu, D., Meer, P.: Mean shift: a robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Mach. Intell. 24(5), 603\u2013619 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"27_CR10","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1109\/34.87344","volume":"6","author":"L Vincent","year":"1991","unstructured":"Vincent, L., Soille, P.: Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE Trans. Pattern Anal. Mach. Intell. 6, 583\u2013598 (1991)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"27_CR11","first-page":"433","volume":"34","author":"S Beucher","year":"1992","unstructured":"Beucher, S., Meyer, F.: The morphological approach to segmentation: the watershed transformation. Opt. Eng. N.Y. Marcel Dekker Inc. 34, 433\u2013433 (1992)","journal-title":"Opt. Eng. N.Y. Marcel Dekker Inc."},{"key":"27_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1007\/978-3-319-57240-6_15","volume-title":"Mathematical Morphology and Its Applications to Signal and Image Processing","author":"B Figliuzzi","year":"2017","unstructured":"Figliuzzi, B., Chang, K., Faessel, M.: Hierarchical segmentation based upon multi-resolution approximations and the watershed transform. In: Angulo, J., Velasco-Forero, S., Meyer, F. (eds.) ISMM 2017. LNCS, vol. 10225, pp. 185\u2013195. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-57240-6_15"},{"issue":"12","key":"27_CR13","doi-asserted-by":"publisher","first-page":"2290","DOI":"10.1109\/TPAMI.2009.96","volume":"31","author":"A Levinshtein","year":"2009","unstructured":"Levinshtein, A., Stere, A., Kutulakos, K.N., Fleet, D.J., Dickinson, S.J., Siddiqi, K.: TurboPixels: fast superpixels using geometric flows. IEEE Trans. Pattern Anal. Mach. Intell. 31(12), 2290\u20132297 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"27_CR14","doi-asserted-by":"crossref","unstructured":"Achanta, R., Susstrunk, S.: Superpixels and polygons using simple non-iterative clustering. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, July, pp. 4895\u20134904. IEEE (2017)","DOI":"10.1109\/CVPR.2017.520"},{"key":"27_CR15","doi-asserted-by":"crossref","unstructured":"Xiao, X., Gong, Y., Zhou, Y.: Adaptive superpixel segmentation aggregating local contour and texture features. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March, pp. 1902\u20131906 (2017)","DOI":"10.1109\/ICASSP.2017.7952487"},{"key":"27_CR16","unstructured":"Li, Z., Chen, J.: Superpixel segmentation using linear spectral clustering. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, pp. 1356\u20131363 (2015)"},{"key":"27_CR17","doi-asserted-by":"crossref","unstructured":"Giraud, R., Ta, V.-T., Papadakis, N., Berthoumieu, Y.: Texture-aware superpixel segmentation. arXiv:1901.11111 [cs], January 2019","DOI":"10.1109\/ICIP.2019.8803085"},{"key":"27_CR18","doi-asserted-by":"crossref","unstructured":"Buyssens, P., Toutain, M., Elmoataz, A., L\u00e9zoray, O.: Eikonal-based vertices growing and iterative seeding for efficient graph-based segmentation. In: IEEE International Conference on Image Processing (ICIP 2014), Paris, France, October, p. 5 (2014)","DOI":"10.1109\/ICIP.2014.7025886"},{"issue":"12","key":"27_CR19","doi-asserted-by":"publisher","first-page":"1045","DOI":"10.1016\/j.imavis.2014.10.002","volume":"32","author":"P Buyssens","year":"2014","unstructured":"Buyssens, P., Gardin, I., Ruan, S., Elmoataz, A.: Eikonal-based region growing for efficient clustering. Image Vis. Comput. 32(12), 1045\u20131054 (2014)","journal-title":"Image Vis. Comput."},{"issue":"1","key":"27_CR20","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.irbm.2013.12.007","volume":"35","author":"P Buyssens","year":"2014","unstructured":"Buyssens, P., Gardin, I., Ruan, S.: Eikonal based region growing for superpixels generation: application to semi-supervised real time organ segmentation in CT images. IRBM 35(1), 20\u201326 (2014)","journal-title":"IRBM"},{"issue":"4","key":"27_CR21","doi-asserted-by":"publisher","first-page":"1591","DOI":"10.1073\/pnas.93.4.1591","volume":"93","author":"JA Sethian","year":"1996","unstructured":"Sethian, J.A.: A fast marching level set method for monotonically advancing fronts. Proc. Nat. Acad. Sci. 93(4), 1591\u20131595 (1996)","journal-title":"Proc. Nat. Acad. Sci."},{"issue":"2","key":"27_CR22","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1137\/S0036144598347059","volume":"41","author":"JA Sethian","year":"1999","unstructured":"Sethian, J.A.: Fast marching methods. SIAM Rev. 41(2), 199\u2013235 (1999)","journal-title":"SIAM Rev."},{"issue":"12","key":"27_CR23","doi-asserted-by":"publisher","first-page":"1167","DOI":"10.1016\/0031-3203(91)90143-S","volume":"24","author":"AK Jain","year":"1991","unstructured":"Jain, A.K., Farrokhnia, F.: Unsupervised texture segmentation using Gabor filters. Pattern Recogn. 24(12), 1167\u20131186 (1991)","journal-title":"Pattern Recogn."},{"issue":"5","key":"27_CR24","doi-asserted-by":"publisher","first-page":"898","DOI":"10.1109\/TPAMI.2010.161","volume":"33","author":"P Arbelaez","year":"2011","unstructured":"Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 898\u2013916 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"27_CR25","unstructured":"Neubert, P., Protzel, P.: Superpixel benchmark and comparison. In: Forum Bildverarbeitung 2010, pp. 205\u2013218 (2012)"},{"key":"27_CR26","unstructured":"Schick, A., Fischer, M., Stiefelhagen, R.: Measuring and evaluating the compactness of superpixels. In: Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), November, pp. 930\u2013934 (2012)"}],"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_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T08:26:10Z","timestamp":1575015970000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20867-7_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030208660","9783030208677"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20867-7_27","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"}}]}}