{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T12:18:55Z","timestamp":1648642735938},"reference-count":23,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2020,2,1]]},"DOI":"10.1587\/transinf.2019edp7122","type":"journal-article","created":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T22:09:51Z","timestamp":1580508591000},"page":"416-423","source":"Crossref","is-referenced-by-count":0,"title":["Nonparametric Distribution Prior Model for Image Segmentation"],"prefix":"10.1587","volume":"E103.D","author":[{"given":"Ming","family":"DAI","sequence":"first","affiliation":[{"name":"South China University of Technology"}]},{"given":"Zhiheng","family":"ZHOU","sequence":"additional","affiliation":[{"name":"South China University of Technology"}]},{"given":"Tianlei","family":"WANG","sequence":"additional","affiliation":[{"name":"Wuyi University"}]},{"given":"Yongfan","family":"GUO","sequence":"additional","affiliation":[{"name":"South China University of Technology"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] L.D. Cohen, \u201cOn active contour models and balloons,\u201d CVGIP: Image understanding, vol.53, no.2, pp.211-218, 1991. 10.1016\/1049-9660(91)90028-n","DOI":"10.1016\/1049-9660(91)90028-N"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] M. Kass, A. Witkin, and D. Terzopoulos, \u201cSnakes: Active contour models,\u201d International Journal of Computer Vision, vol.1, no.4, pp.321-331, 1988. 10.1007\/bf00133570","DOI":"10.1007\/BF00133570"},{"key":"3","doi-asserted-by":"publisher","unstructured":"[3] C. Xu and J.L. Prince, \u201cSnakes, shapes, and gradient vector flow,\u201d IEEE Trans. Image Process., vol.7, no.3, pp.359-369, 1998. 10.1109\/83.661186","DOI":"10.1109\/83.661186"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] V. Caselles, R. Kimmel, and G. Sapiro, \u201cGeodesic active contours,\u201d International Journal of Computer Vision, vol.22, no.1, pp.61-79, 1997.","DOI":"10.1023\/A:1007979827043"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] T.F. Chan and L.A. Vese, \u201cActive contours without edges,\u201d IEEE Trans. Image Process., vol.10, no.2, pp.266-277, 2001. 10.1109\/83.902291","DOI":"10.1109\/83.902291"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] C. Li, C.-Y. Kao, J.C. Gore, and Z. Ding, \u201cImplicit active contours driven by local binary fitting energy,\u201d 2007 IEEE Conference on Computer Vision and Pattern Recognition, CVPR&apos;07, pp.1-7, 2007. 10.1109\/cvpr.2007.383014","DOI":"10.1109\/CVPR.2007.383014"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] X. Bresson, P. Vandergheynst, and J.-P. Thiran, \u201cA variational model for object segmentation using boundary information and shape prior driven by the mumford-shah functional,\u201d International Journal of Computer Vision, vol.68, no.2, pp.145-162, 2006. 10.1007\/s11263-006-6658-x","DOI":"10.1007\/s11263-006-6658-x"},{"key":"8","unstructured":"[8] T. Chan and W. Zhu, \u201cLevel set based shape prior segmentation,\u201d 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, pp.1164-1170, 2005. 10.1109\/cvpr.2005.212"},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] D. Cremers, M. Rousson, and R. Deriche, \u201cA review of statistical approaches to level set segmentation: integrating color, texture, motion and shape,\u201d International Journal of Computer Vision, vol.72, no.2, pp.195-215, 2007. 10.1007\/s11263-006-8711-1","DOI":"10.1007\/s11263-006-8711-1"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] A. Foulonneau, P. Charbonnier, and F. Heitz, \u201cAffine-invariant geometric shape priors for region-based active contours,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.28, no.8, pp.1352-1357, 2006. 10.1109\/tpami.2006.154","DOI":"10.1109\/TPAMI.2006.154"},{"key":"11","unstructured":"[11] M.E. Leventon, O. Faugeras, W.E.L. Grimson, and W.M. Wells, \u201cLevel set based segmentation with intensity and curvature priors,\u201d Proc. IEEE Workshop on Mathematical Methods in Biomedical image Analysis, 2000, pp.4-11, 2000. 10.1109\/mmbia.2000.852354"},{"key":"12","doi-asserted-by":"publisher","unstructured":"[12] J. Kim, J.W. Fisher, A. Yezzi, M. \u00c7etin, and A.S. Willsky, \u201cA nonparametric statistical method for image segmentation using information theory and curve evolution,\u201d IEEE Trans. Image Process., vol.14, no.10, pp.1486-1502, 2005. 10.1109\/tip.2005.854442","DOI":"10.1109\/TIP.2005.854442"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] O. Michailovich, Y. Rathi, and A. Tannenbaum, \u201cImage segmentation using active contours driven by the bhattacharyya gradient flow,\u201d IEEE Trans. Image Process., vol.16, no.11, pp.2787-2801, 2007. 10.1109\/tip.2007.908073","DOI":"10.1109\/TIP.2007.908073"},{"key":"14","doi-asserted-by":"publisher","unstructured":"[14] H. Wu, V. Appia, and A. Yezzi, \u201cNumerical conditioning problems and solutions for nonparametric i.i.d. statistical active contours,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.35, no.6, pp.1298-1311, 2013. 10.1109\/tpami.2012.207","DOI":"10.1109\/TPAMI.2012.207"},{"key":"15","doi-asserted-by":"publisher","unstructured":"[15] M. Gong, H. Li, X. Zhang, Q. Zhao, and B. Wang, \u201cNonparametric statistical active contour based on inclusion degree of fuzzy sets,\u201d IEEE Trans. Fuzzy Syst., vol.24, no.5, pp.1176-1192, 2016. 10.1109\/tfuzz.2015.2505328","DOI":"10.1109\/TFUZZ.2015.2505328"},{"key":"16","doi-asserted-by":"publisher","unstructured":"[16] Z. Zhou, M. Dai, and H. Zhong, \u201cParametric shape prior model used in image segmentation,\u201d Journal of Systems Engineering and Electronics, vol.27, no.5, pp.1115-1121, 2016. 10.21629\/jsee.2016.05.19","DOI":"10.21629\/JSEE.2016.05.19"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] S. Osher and J.A. Sethian, \u201cFronts propagating with curvature-dependent speed: Algorithms based on hamilton-jacobi formulations,\u201d Journal of Computational Physics, vol.79, no.1, pp.12-49, 1988. 10.1016\/0021-9991(88)90002-2","DOI":"10.1016\/0021-9991(88)90002-2"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] J. Liu, C. Smith, and H. Chebrolu, \u201cA local probabilistic prior-based active contour model for brain mr image segmentation,\u201d Computer Vision-ACCV 2007, Asian Conference on Computer Vision, Tokyo, Japan, Nov. 18-22, 2007, Proceedings, pp.956-964, 2007. 10.1007\/978-3-540-76386-4_91","DOI":"10.1007\/978-3-540-76386-4_91"},{"key":"19","doi-asserted-by":"publisher","unstructured":"[19] E. Parzen, \u201cOn estimation of a probability density function and mode,\u201d The Annals of Mathematical Statistics, vol.33, no.3, pp.1065-1076, 1962. 10.1214\/aoms\/1177704472","DOI":"10.1214\/aoms\/1177704472"},{"key":"20","unstructured":"[20] C. Li, C. Xu, C. Gui, and M.D. Fox, \u201cLevel set evolution without re-initialization: a new variational formulation,\u201d 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, pp.430-436, 2005. 10.1109\/cvpr.2005.213"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] A. Mitiche and I.B. Ayed, Variational and level set methods in image segmentation, Springer Science &amp; Business Media, 2010. 10.1007\/978-3-642-15352-5","DOI":"10.1007\/978-3-642-15352-5"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] C. Rother, V. Kolmogorov, and A. Blake, \u201cGrabcut: Interactive foreground extraction using iterated graph cuts,\u201d ACM SIGGRAPH, pp.309-314, 2004. 10.1145\/1186562.1015720","DOI":"10.1145\/1015706.1015720"},{"key":"23","doi-asserted-by":"publisher","unstructured":"[23] S. Alpert, M. Galun, A. Brandt, and R. Basri, \u201cImage segmentation by probabilistic bottom-up aggregation and cue integration,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.34, no.2, pp.315-326, 2012. 10.1109\/tpami.2011.130","DOI":"10.1109\/TPAMI.2011.130"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E103.D\/2\/E103.D_2019EDP7122\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T03:26:50Z","timestamp":1580527610000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E103.D\/2\/E103.D_2019EDP7122\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,1]]},"references-count":23,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2019edp7122","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,1]]}}}