{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T23:57:26Z","timestamp":1771631846621,"version":"3.50.1"},"reference-count":88,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2018,10,4]],"date-time":"2018-10-04T00:00:00Z","timestamp":1538611200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61472289"],"award-info":[{"award-number":["61472289"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1007\/s11042-018-6735-5","type":"journal-article","created":{"date-parts":[[2018,10,4]],"date-time":"2018-10-04T14:54:57Z","timestamp":1538664897000},"page":"11779-11798","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":93,"title":["A novel segmentation model for medical images with intensity inhomogeneity based on adaptive perturbation"],"prefix":"10.1007","volume":"78","author":[{"given":"Haiping","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fazhi","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiteng","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,10,4]]},"reference":[{"issue":"11","key":"6735_CR1","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 (2012) SLIC Superpixels compared to state-of-the-art superpixel methods. IEEE Trans Pattern Anal Mach Intell 34 (11):2274\u20132282","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"9","key":"6735_CR2","doi-asserted-by":"publisher","first-page":"1488","DOI":"10.1109\/TMI.2009.2017941","volume":"28","author":"B Al-Diri","year":"2009","unstructured":"Al-Diri B, Hunter A, Steel D (2009) An active contour model for segmenting and measuring retinal vessels. IEEE Trans Med Imaging 28(9):1488\u20131497","journal-title":"IEEE Trans Med Imaging"},{"key":"6735_CR3","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.patcog.2015.08.022","volume":"51","author":"H Ali","year":"2016","unstructured":"Ali H, Badshah N, Chen K et al (2016) A variational model with hybrid images data fitting energies for segmentation of images with intensity inhomogeneity. Pattern Recogn 51:27\u201342","journal-title":"Pattern Recogn"},{"issue":"3","key":"6735_CR4","doi-asserted-by":"publisher","first-page":"3537","DOI":"10.1007\/s11042-016-3884-2","volume":"76","author":"MA Alsmirat","year":"2017","unstructured":"Alsmirat MA, Jararweh Y, Al-Ayyoub M et al (2017) Accelerating compute intensive medical imaging segmentation algorithms using hybrid CPU-GPU implementations. Multimedia Tools and Applications 76(3):3537\u20133555","journal-title":"Multimedia Tools and Applications"},{"issue":"5","key":"6735_CR5","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1007\/s11548-015-1241-y","volume":"11","author":"M Becker","year":"2016","unstructured":"Becker M, Nijdam N, Magnenat-Thalmann N (2016) Coupling strategies for multi-resolution deformable meshes: expanding the pyramid approach beyond its one-way nature. Int J Comput Assist Radiol Surg 11(5):695\u2013705","journal-title":"Int J Comput Assist Radiol Surg"},{"issue":"3","key":"6735_CR6","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1049\/iet-ipr.2016.0648","volume":"11","author":"Y Boutiche","year":"2016","unstructured":"Boutiche Y, Abdesselam A (2016) Fast algorithm for hybrid region-based active contours optimisation. IET Image Process 11(3):200\u2013209","journal-title":"IET Image Process"},{"issue":"23","key":"6735_CR7","doi-asserted-by":"publisher","first-page":"15347","DOI":"10.1007\/s11042-014-2201-1","volume":"75","author":"SH Chae","year":"2016","unstructured":"Chae SH, Moon HM, Chung Y et al (2016) Automatic lung segmentation for large-scale medical image management. Multimedia Tools and Applications 75 (23):15347\u201315363","journal-title":"Multimedia Tools and Applications"},{"issue":"4","key":"6735_CR8","doi-asserted-by":"publisher","first-page":"2035","DOI":"10.1109\/TIP.2012.2186306","volume":"21","author":"X Chen","year":"2012","unstructured":"Chen X, Udupa JK, Bagci U et al (2012) Medical image segmentation by combining graph cuts and oriented active appearance models. IEEE Trans Image Process 21(4):2035\u20132046","journal-title":"IEEE Trans Image Process"},{"key":"6735_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.specom.2015.12.006","volume":"78","author":"J Chen","year":"2016","unstructured":"Chen J, Wang Y, Wang DL (2016) Noise perturbation for supervised speech separation. Speech Commun 78:1\u201310","journal-title":"Speech Commun"},{"key":"6735_CR10","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.patcog.2017.02.013","volume":"67","author":"Y Chen","year":"2017","unstructured":"Chen Y, He F, Wu Y et al (2017) A local start search algorithm to compute exact Hausdorff Distance for arbitrary point sets. Pattern Recogn 67:139\u2013148","journal-title":"Pattern Recogn"},{"issue":"2","key":"6735_CR11","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/s11390-011-9431-8","volume":"26","author":"M Chitsaz","year":"2011","unstructured":"Chitsaz M, Woo CS (2011) Software agent with reinforcement learning approach for medical image segmentation. J Comput Sci Technol 26(2):247\u2013255","journal-title":"J Comput Sci Technol"},{"key":"6735_CR12","first-page":"187","volume-title":"Reaction-diffusion systems: front propagation and spatial structures. The kolmogorov Legacy in Physics","author":"M Cencini","year":"2003","unstructured":"Cencini M, Lopez C, Vergni D (2003) Reaction-diffusion systems: front propagation and spatial structures. The kolmogorov Legacy in Physics. Springer, Berlin, pp 187\u2013210"},{"issue":"4","key":"6735_CR13","doi-asserted-by":"publisher","first-page":"996","DOI":"10.1109\/TSMCA.2012.2223670","volume":"43","author":"J Cui","year":"2013","unstructured":"Cui J, Liu Y, Xu Y et al (2013) Tracking generic human motion via fusion of low-and high-dimensional approaches. IEEE Trans Syst Man Cybern Syst 43 (4):996\u20131002","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"8","key":"6735_CR14","doi-asserted-by":"publisher","first-page":"2513","DOI":"10.1016\/j.patcog.2015.03.001","volume":"48","author":"L Dai","year":"2015","unstructured":"Dai L, Ding J, Yang J (2015) Inhomogeneity-embedded active contour for natural image segmentation. Pattern Recogn 48(8):2513\u20132529","journal-title":"Pattern Recogn"},{"issue":"2","key":"6735_CR15","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1006\/cviu.2001.0920","volume":"83","author":"H Delingette","year":"2001","unstructured":"Delingette H, Montagnat J (2001) Shape and topology constraints on parametric active contours. Comput Vis Image Underst 83(2):140\u2013171","journal-title":"Comput Vis Image Underst"},{"issue":"8","key":"6735_CR16","doi-asserted-by":"publisher","first-page":"969","DOI":"10.1109\/TMI.2005.850547","volume":"24","author":"Y Du","year":"2005","unstructured":"Du Y, Tsui BMW, Frey EC (2005) Partial volume effect compensation for quantitative brain SPECT imaging. IEEE Trans Medical Imaging 24(8):969\u2013976","journal-title":"IEEE Trans Medical Imaging"},{"issue":"2","key":"6735_CR17","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1016\/j.sigpro.2012.08.024","volume":"93","author":"J Feng","year":"2013","unstructured":"Feng J, Jiao LC, Zhang X et al (2013) Robust non-local fuzzy c-means algorithm with edge preservation for SAR image segmentation. Signal Process 93(2):487\u2013499","journal-title":"Signal Process"},{"issue":"4","key":"6735_CR18","doi-asserted-by":"publisher","first-page":"1578","DOI":"10.1016\/j.patcog.2011.09.008","volume":"45","author":"Q Ge","year":"2012","unstructured":"Ge Q, Xiao L, Zhang J et al (2012) An improved region-based model with local statistical features for image segmentation. Pattern Recogn 45(4):1578\u20131590","journal-title":"Pattern Recogn"},{"issue":"2","key":"6735_CR19","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1109\/TIP.2012.2219547","volume":"22","author":"M Gong","year":"2013","unstructured":"Gong M, Liang Y, Shi J et al (2013) Fuzzy c-means clustering with local information and kernel metric for image segmentation. IEEE Trans Image Process 22 (2):573\u2013584","journal-title":"IEEE Trans Image Process"},{"key":"6735_CR20","first-page":"351","volume":"293","author":"M Gong","year":"2015","unstructured":"Gong M, Tian D, Su L et al (2015) An efficient bi-convex fuzzy variational image segmentation method. Information 293:351\u2013369","journal-title":"Information"},{"issue":"5","key":"6735_CR21","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1007\/s11548-010-0532-6","volume":"6","author":"D Grosgeorge","year":"2011","unstructured":"Grosgeorge D, Petitjean C, Caudron J et al (2011) Automatic cardiac ventricle segmentation in MR images: a validation study. Int J Comput Assist Radiol Surg 6 (5):573\u2013581","journal-title":"Int J Comput Assist Radiol Surg"},{"issue":"6","key":"6735_CR22","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1038\/nrm3120","volume":"12","author":"J Howard","year":"2011","unstructured":"Howard J, Grill SW, Bois JS (2011) Turing\u2019s next steps: the mechanochemical basis of morphogenesis. Nat Rev Mol Cell Biol 12(6):392","journal-title":"Nat Rev Mol Cell Biol"},{"key":"6735_CR23","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.compmedimag.2015.11.005","volume":"48","author":"T Ivanovska","year":"2016","unstructured":"Ivanovska T, Laqua R, Wang L et al (2016) An efficient level set method for simultaneous intensity inhomogeneity correction and segmentation of MR images. Graphics Comput Med Imaging Graph 48:9\u201320","journal-title":"Graphics Comput Med Imaging Graph"},{"key":"6735_CR24","doi-asserted-by":"publisher","first-page":"747549","DOI":"10.1155\/2014\/747549","volume":"2014","author":"S Ji","year":"2014","unstructured":"Ji S, Wei B, Yu Z et al (2014) A new multistage medical segmentation method based on superpixel and fuzzy clustering. Comput Math Methods Med 2014:747549","journal-title":"Comput Math Methods Med"},{"issue":"4","key":"6735_CR25","first-page":"321","volume":"1","author":"M Kass","year":"1988","unstructured":"Kass M, Witkin A, Terzopoulos D (1988) Snakes: Active contour models. Int J Comput 1(4):321\u2013331","journal-title":"Int J Comput"},{"key":"6735_CR26","doi-asserted-by":"crossref","unstructured":"Kim JU, Kim HG, Ro YM (2017) Iterative deep convolutional encoder-decoder network for medical image segmentation. In: 2017 39th annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, pp 685\u2013688","DOI":"10.1109\/EMBC.2017.8036917"},{"issue":"11","key":"6735_CR27","doi-asserted-by":"publisher","first-page":"2029","DOI":"10.1109\/TIP.2008.2004611","volume":"17","author":"S Lankton","year":"2008","unstructured":"Lankton S, Tannenbaum A (2008) Localizing region-based active contours. IEEE Trans Image Process 17(11):2029\u20132039","journal-title":"IEEE Trans Image Process"},{"key":"6735_CR28","unstructured":"Li C, Xu C, Gui C et al (2005) Level set evolution without re-initialization: a new variational formulation. In: IEEE computer society conference on Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE, vol 1, pp 430\u2013436"},{"issue":"10","key":"6735_CR29","first-page":"1940","volume":"17","author":"C Li","year":"2008","unstructured":"Li C, Kao CY, Gore JC et al (2008) Minimization of region-scalable fitting energy for image segmentation. IEEE Trans Image Process Publ IEEE Signal Process Soc 17(10):1940","journal-title":"IEEE Trans Image Process Publ IEEE Signal Process Soc"},{"issue":"12","key":"6735_CR30","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, Gui C et al (2010) Distance regularized level set evolution and its application to image segmentation. IEEE Trans Image Process 19(12):3243\u20133254","journal-title":"IEEE Trans Image Process"},{"issue":"7","key":"6735_CR31","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 (2011) 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","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"6735_CR32","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1007\/s11766-017-3466-8","volume":"32","author":"K Li","year":"2017","unstructured":"Li K, He F, Yu HP et al (2017) A correlative classifiers approach based on particle filter and sample set for tracking occluded target. Appl Math-A J Chin Univ 32(3):294\u2013312","journal-title":"Appl Math-A J Chin Univ"},{"issue":"1","key":"6735_CR33","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1007\/s11390-017-1764-5","volume":"33","author":"K Li","year":"2017","unstructured":"Li K, He FZ, Yu HP (2017) Robust Visual Tracking based on convolutional features with illumination and occlusion handing. J Comput Sci Technol 33(1):223\u2013236","journal-title":"J Comput Sci Technol"},{"key":"6735_CR34","doi-asserted-by":"publisher","unstructured":"Li K, He F, Yu H, Chen X (2018) A parallel and robust object tracking approach synthesizing adaptive Bayesian learning and improved incremental subspace learning. Frontiers of Computer Science: \n                    https:\/\/doi.org\/10.1007\/s11704-018-6442-4","DOI":"10.1007\/s11704-018-6442-4"},{"issue":"2","key":"6735_CR35","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1007\/s11390-008-9129-8","volume":"23","author":"YL Liu","year":"2008","unstructured":"Liu YL, Wang J, Chen X et al (2008) A robust and fast non-local means algorithm for image denoising. J Comput Sci Technol 23(2):270\u2013279","journal-title":"J Comput Sci Technol"},{"key":"6735_CR36","unstructured":"Liu Y, Cui J, Zhao H et al (2012) Fusion of low-and high-dimensional approaches by trackers sampling for generic human motion tracking. In: 2012 21st International Conference on Pattern Recognition (ICPR). IEEE, pp 898\u2013901"},{"key":"6735_CR37","unstructured":"Liu Y, Zheng Y, Liang Y et al (2016) Urban water quality prediction based on multi-task multi-view learning. In: Proceedings of the 25th international joint conference on artificial intelligence"},{"issue":"9","key":"6735_CR38","doi-asserted-by":"publisher","first-page":"2305","DOI":"10.4304\/jsw.8.9.2305-2312","volume":"8","author":"C Liu","year":"2013","unstructured":"Liu C, Pan Z, Duan J (2013) New algorithm for level set evolution without re-initialization and its application to variational image segmentation. JSW 8 (9):2305\u20132312","journal-title":"JSW"},{"key":"6735_CR39","unstructured":"Loh PL, Wainwright MJ (2011) High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity. Advances in Neural Information Processing Systems, pp 2726\u20132734"},{"key":"6735_CR40","doi-asserted-by":"crossref","unstructured":"Lu T, Pan L, Jiangs J et al (2017) DLML: Deep Linear mappings learning for face super-resolution with nonlocal-patch. In: Proceedings of the 2017 IEEE International Conference on Multimedia and Expo (ICME). IEEE, pp 1362\u20131367","DOI":"10.1109\/ICME.2017.8019298"},{"issue":"12","key":"6735_CR41","doi-asserted-by":"publisher","first-page":"2398","DOI":"10.1109\/LGRS.2017.2766204","volume":"14","author":"Y Luo","year":"2017","unstructured":"Luo Y, Zhou L, Wang S et al (2017) Video satellite imagery super resolution via convolutional neural networks. IEEE Geosci Remote Sens Lett 14(12):2398\u20132402","journal-title":"IEEE Geosci Remote Sens Lett"},{"issue":"4","key":"6735_CR42","doi-asserted-by":"publisher","first-page":"1547","DOI":"10.1016\/j.patcog.2014.10.018","volume":"48","author":"H Min","year":"2015","unstructured":"Min H, Jia W, Wang XF et al (2015) An intensity-texture model based level set method for image segmentation. Pattern Recogn 48(4):1547\u20131562","journal-title":"Pattern Recogn"},{"issue":"5","key":"6735_CR43","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1002\/cpa.3160420503","volume":"42","author":"D Mumford","year":"1989","unstructured":"Mumford D, Shah J (1989) Optimal approximations by piecewise smooth functions and associated variational problems. Commun Pur Appl Math 42(5):577\u2013685","journal-title":"Commun Pur Appl Math"},{"issue":"1","key":"6735_CR44","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/s11766-016-3340-0","volume":"31","author":"B Ni","year":"2016","unstructured":"Ni B, He F, Pan Y et al (2016) Using shapes correlation for active contour segmentation of uterine fibroid ultrasound images in computer-aided therapy. Appl Math A J Chin Univ 31(1):37\u201352","journal-title":"Appl Math A J Chin Univ"},{"key":"6735_CR45","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.patcog.2016.07.022","volume":"61","author":"Sijie Niu","year":"2017","unstructured":"Niu S, Chen Q, de Sisternes L et al (2017) Robust noise region-based active contour model via local similarity factor for image segmentation. Pattern Recogn 61:104\u2013119","journal-title":"Pattern Recognition"},{"issue":"3","key":"6735_CR46","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1016\/j.jvcir.2013.01.010","volume":"24","author":"S Oh","year":"2013","unstructured":"Oh S, Woo H, Yun S et al (2013) Non-convex hybrid total variation for image denoising. J Vis Commun Image Represent 24(3):332\u2013344","journal-title":"J Vis Commun Image Represent"},{"issue":"1","key":"6735_CR47","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 JA (1988) Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations. J Comput Phys 79(1):12\u201349","journal-title":"J Comput Phys"},{"issue":"2","key":"6735_CR48","doi-asserted-by":"publisher","first-page":"2185","DOI":"10.1007\/s11042-015-3196-y","volume":"76","author":"AE Rad","year":"2017","unstructured":"Rad AE, Rahim MSM, Kolivand H et al (2017) Morphological region-based initial contour algorithm for level set methods in image segmentation. Multimedia Tools and Applications 76(2):2185\u20132201","journal-title":"Multimedia Tools and Applications"},{"key":"6735_CR49","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.sigpro.2015.05.009","volume":"117","author":"Z Ren","year":"2015","unstructured":"Ren Z (2015) Adaptive active contour model driven by fractional order fitting energy. Signal Process 117:138\u2013150","journal-title":"Signal Process"},{"issue":"4","key":"6735_CR50","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1080\/00207178008922881","volume":"32","author":"JD Roberts","year":"1980","unstructured":"Roberts JD (1980) Linear model reduction and solution of the algebraic Riccati equation by use of the sign function. Int J Control 32(4):677\u2013687","journal-title":"Int J Control"},{"key":"6735_CR51","doi-asserted-by":"crossref","unstructured":"Ros G, Sellart L, Materzynska J et al (2016) The synthia dataset: a large collection of synthetic images for semantic segmentation of urban scenes. Proc IEEE Conf Comput Vis Pattern Recognit, pp 3234\u20133243","DOI":"10.1109\/CVPR.2016.352"},{"issue":"4","key":"6735_CR52","doi-asserted-by":"publisher","first-page":"1023","DOI":"10.1109\/TBME.2010.2097596","volume":"58","author":"Y Shang","year":"2011","unstructured":"Shang Y, Deklerck R, Nyssen E et al (2011) Vascular active contour for vessel tree segmentation. IEEE Trans Biomed Eng 58(4):1023\u20131032","journal-title":"IEEE Trans Biomed Eng"},{"key":"6735_CR53","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1016\/j.ins.2017.01.013","volume":"385","author":"L Shao","year":"2017","unstructured":"Shao L, Cai Z, Liu L et al (2017) Performance evaluation of deep feature learning for RGB-d image\/video classification. Inf Sci 385:266\u2013283","journal-title":"Inf Sci"},{"issue":"1","key":"6735_CR54","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/s00138-011-0363-7","volume":"24","author":"Y Tian","year":"2013","unstructured":"Tian Y, Duan F, Zhou M et al (2013) Active contour model combining region and edge information. Mach Vision Appl 24(1):47\u201361","journal-title":"Mach Vision Appl"},{"issue":"3","key":"6735_CR55","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1023\/A:1020874308076","volume":"50","author":"LA Vese","year":"2002","unstructured":"Vese LA, Chan TF (2002) A multiphase level set framework for image segmentation using the Mumford and Shah model. Int Journal Comput Vision 50(3):271\u2013293","journal-title":"Int Journal Comput Vision"},{"issue":"3","key":"6735_CR56","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1109\/TSMCB.2009.2031090","volume":"40","author":"B Wang","year":"2010","unstructured":"Wang B, Gao X, Tao D et al (2010) A unified tensor level set for image segmentation[J]. IEEE Trans Syst Man Cybern B Cybern 40(3):857\u2013867","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"issue":"3","key":"6735_CR57","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1016\/j.patcog.2009.08.002","volume":"43","author":"XF Wang","year":"2010","unstructured":"Wang XF, Huang DS, Xu H (2010) An efficient local Chan Vese model for image segmentation. Pattern Recogn 43(3):603\u2013618","journal-title":"Pattern Recogn"},{"issue":"3","key":"6735_CR58","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1109\/TCYB.2013.2256891","volume":"44","author":"B Wang","year":"2014","unstructured":"Wang B, Gao X, Tao D et al (2014) A nonlinear adaptive level set for image segmentation. IEEE Trans Cybern 44(3):418\u2013428","journal-title":"IEEE Trans Cybern"},{"key":"6735_CR59","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.ins.2013.10.033","volume":"263","author":"H Wang","year":"2014","unstructured":"Wang H, Huang TZ, Xu Z et al (2014) An active contour model and its algorithms with local and global Gaussian distribution fitting energies. Inf Sci 263:43\u201359","journal-title":"Inf Sci"},{"issue":"1","key":"6735_CR60","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.patcog.2014.07.008","volume":"48","author":"XF Wang","year":"2015","unstructured":"Wang XF, Min H, Zou L et al (2015) A novel level set method for image segmentation by incorporating local statistical analysis and global similarity measurement. Pattern Recogn 48(1):189\u2013204","journal-title":"Pattern Recogn"},{"key":"6735_CR61","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/0-387-21810-6_3","volume-title":"Fast methods for implicit active contour models. Geometric level set methods in imaging, vision, and graphics","author":"J Weickert","year":"2003","unstructured":"Weickert J, K\u00fchne G (2003) Fast methods for implicit active contour models. Geometric level set methods in imaging, vision, and graphics. Springer, New York, pp 43\u201357"},{"issue":"3","key":"6735_CR62","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1109\/83.661186","volume":"7","author":"C Xu","year":"1998","unstructured":"Xu C, Prince JL (1998) Snakes, shapes, and gradient vector flow[J]. IEEE Trans Image Process 7(3):359\u2013369","journal-title":"IEEE Trans Image Process"},{"key":"6735_CR63","doi-asserted-by":"crossref","unstructured":"Xue DX, Zhang R, Zhao YY et al (2017) Fully convolutional networks with double-label for esophageal cancer image segmentation by self-transfer learning. In: Ninth International Conference on Digital Image Processing (ICDIP 2017). International Society for Optics and Photonics 10420, p 104202D","DOI":"10.1117\/12.2282000"},{"issue":"9","key":"6735_CR64","doi-asserted-by":"publisher","first-page":"1017","DOI":"10.1016\/j.cviu.2013.03.006","volume":"117","author":"P Yan","year":"2013","unstructured":"Yan P, Zhang W, Turkbey B et al (2013) Global structure constrained local shape prior estimation for medical image segmentation. Comput Vis Image Underst 117(9):1017\u20131026","journal-title":"Comput Vis Image Underst"},{"issue":"12","key":"6735_CR65","doi-asserted-by":"publisher","first-page":"2077","DOI":"10.1109\/TCSVT.2014.2335852","volume":"24","author":"C Yan","year":"2014","unstructured":"Yan C, Zhang Y, Xu J et al (2014) Efficient parallel framework for HEVC motion estimation on many-core processors. IEEE Trans Circ Syst Video Technol 24 (12):2077\u20132089","journal-title":"IEEE Trans Circ Syst Video Technol"},{"issue":"5","key":"6735_CR66","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1109\/LSP.2014.2310494","volume":"21","author":"C Yan","year":"2017","unstructured":"Yan C, Zhang Y, Xu J et al (2017) A highly parallel framework for HEVC coding unit partitioning tree decision on many-core processors. IEEE Signal Process Lett 21(5):573\u2013576","journal-title":"IEEE Signal Process Lett"},{"issue":"2","key":"6735_CR67","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1007\/s11390-017-1714-2","volume":"32","author":"XH Yan","year":"2017","unstructured":"Yan XH, He FZ, Chen YL (2017) A novel hardware\/software partitioning method based on position disturbed particle swarm optimization with invasive weed optimization. J Comput Sci Technol 32(2):340\u2013355","journal-title":"J Comput Sci Technol"},{"issue":"1","key":"6735_CR68","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1109\/TITS.2017.2749977","volume":"19","author":"C Yan","year":"2018","unstructured":"Yan C, Xie H, Liu S et al (2018) Effective Uyghur language text detection in complex background images for traffic prompt identification. IEEE Trans Intelli Transp Syst 19(1):220\u2013229","journal-title":"IEEE Trans Intelli Transp Syst"},{"issue":"12","key":"6735_CR69","doi-asserted-by":"publisher","first-page":"3389","DOI":"10.1109\/TMM.2018.2838320","volume":"20","author":"Chenggang Yan","year":"2018","unstructured":"Yan C, Xie H, Chen J et al (2018) An effective Uyghur text detector for complex background images. IEEE Transactions on Multimedia. \n                    https:\/\/doi.org\/10.1109\/TMM.2018.2838320","journal-title":"IEEE Transactions on Multimedia"},{"issue":"1","key":"6735_CR70","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1109\/TITS.2017.2749965","volume":"19","author":"C Yan","year":"2018","unstructured":"Yan C, Xie H, Yang D et al (2018) Supervised hash coding with deep neural network for environment perception of intelligent vehicles. IEEE Trans Intell Transp Syst 19(1):284\u2013295","journal-title":"IEEE Trans Intell Transp Syst"},{"issue":"01","key":"6735_CR71","doi-asserted-by":"publisher","first-page":"741001","DOI":"10.1142\/S0218843017410015","volume":"27","author":"X Yan","year":"2018","unstructured":"Yan X, He F, Hou N et al (2018) An efficient particle swarm optimization for large-scale hardware\/software co-design system. Int J Coop Inf Syst 27(01):741001","journal-title":"Int J Coop Inf Syst"},{"issue":"3","key":"6735_CR72","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1007\/s02011-011-1137-8","volume":"26","author":"XJ Yang","year":"2011","unstructured":"Yang XJ, Liao XK, Lu K et al (2011) The TianHe-1A supercomputer: its hardware and software. J Comput Sci Technol 26(3):344\u2013351","journal-title":"J Comput Sci Technol"},{"issue":"3","key":"6735_CR73","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1109\/TITB.2005.847515","volume":"9","author":"L Yang","year":"2005","unstructured":"Yang L, Meer P, Foran DJ (2005) Unsupervised segmentation based on robust estimation and color active contour models. IEEE Trans Inf Technol Biomed 9 (3):475\u2013486","journal-title":"IEEE Trans Inf Technol Biomed"},{"issue":"7","key":"6735_CR74","doi-asserted-by":"publisher","first-page":"2854","DOI":"10.1109\/TIP.2014.2321506","volume":"23","author":"X Yang","year":"2014","unstructured":"Yang X, Gao X, Tao D et al (2014) Improving level set method for fast auroral oval segmentation. IEEE Trans on Image Process 23(7):2854\u20132865","journal-title":"IEEE Trans on Image Process"},{"key":"6735_CR75","doi-asserted-by":"crossref","unstructured":"Yang Z, Jia D, Ioannidis S et al (2018) Intermediate Data Caching Optimization for Multi-Stage and Parallel Big Data Frameworks. arXiv:\n                    1804.10563","DOI":"10.1109\/CLOUD.2018.00042"},{"issue":"8","key":"6735_CR76","doi-asserted-by":"publisher","first-page":"JAMDSM0100","DOI":"10.1299\/jamdsm.2016jamdsm0100","volume":"10","author":"H Yu","year":"2016","unstructured":"Yu H, He F, Pan Y et al (2016) An efficient similarity-based level set model for medical image segmentation. J Adv Mech Des Syst Manuf 10 (8):JAMDSM0100\u2013JAMDSM0100","journal-title":"J Adv Mech Des Syst Manuf"},{"issue":"3","key":"6735_CR77","doi-asserted-by":"publisher","first-page":"1116","DOI":"10.1016\/j.neuroimage.2006.01.015","volume":"31","author":"PA Yushkevich","year":"2006","unstructured":"Yushkevich PA, Piven J, Hazlett HC et al (2006) User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31(3):1116\u20131128","journal-title":"Neuroimage"},{"issue":"4","key":"6735_CR78","doi-asserted-by":"publisher","first-page":"1199","DOI":"10.1016\/j.patcog.2009.10.010","volume":"43","author":"K Zhang","year":"2010","unstructured":"Zhang K, Song H, Zhang L (2010) Active contours driven by local image fitting energy. Pattern Recog 43(4):1199\u20131206","journal-title":"Pattern Recog"},{"issue":"4","key":"6735_CR79","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1016\/j.imavis.2009.10.009","volume":"28","author":"K Zhang","year":"2010","unstructured":"Zhang K, Zhang L, Song H et al (2010) Active contours with selective local or global segmentation: a new formulation and level set method. Image Vision Comput 28(4):668\u2013676","journal-title":"Image Vision Comput"},{"issue":"2","key":"6735_CR80","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1016\/j.cviu.2010.09.007","volume":"115","author":"N Zhang","year":"2011","unstructured":"Zhang N, Ruan S, Lebonvallet S et al (2011) Kernel feature selection to fuse multi-spectral MRI images for brain tumor segmentation. Comput Vis Image Underst 115(2):256\u2013269","journal-title":"Comput Vis Image Underst"},{"issue":"2","key":"6735_CR81","doi-asserted-by":"publisher","first-page":"546","DOI":"10.1109\/TCYB.2015.2409119","volume":"46","author":"K Zhang","year":"2016","unstructured":"Zhang K, Zhang L, Lam KM et al (2016) A level set approach to image segmentation with intensity inhomogeneity. IEEE Trans Cybern 46(2):546\u2013557","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"6735_CR82","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1109\/TCYB.2015.2393307","volume":"46","author":"T Zhang","year":"2016","unstructured":"Zhang T, Ghanem B, Liu S et al (2016) Robust visual tracking via exclusive context modeling. IEEE Trans Cybern 46(1):51\u201363","journal-title":"IEEE Trans Cybern"},{"issue":"3","key":"6735_CR83","doi-asserted-by":"publisher","first-page":"261","DOI":"10.3233\/ICA-170544","volume":"24","author":"D Zhang","year":"2017","unstructured":"Zhang D, He F, Han S et al (2017) An efficient approach to directly compute the exact Hausdorff distance for 3D point sets. Integr Comput Aided Eng 24(3):261\u2013277","journal-title":"Integr Comput Aided Eng"},{"issue":"9","key":"6735_CR84","doi-asserted-by":"publisher","first-page":"1797","DOI":"10.1109\/TMI.2015.2409024","volume":"34","author":"Y Zhao","year":"2015","unstructured":"Zhao Y, Rada L, Chen K et al (2015) Automated vessel segmentation using infinite perimeter active contour model with hybrid region information with application to retinal images. IEEE Trans Med Imaging 34(9):1797\u20131807","journal-title":"IEEE Trans Med Imaging"},{"issue":"8","key":"6735_CR85","doi-asserted-by":"publisher","first-page":"JAMDSM0102","DOI":"10.1299\/jamdsm.2016jamdsm0102","volume":"10","author":"Y Zhou","year":"2016","unstructured":"Zhou Y, Xu H, Pan X et al (2016) Parsing main structures of indoor scenes from single RGB-D image. J Adv Mech Des Syst Manuf 10(8):JAMDSM0102-JAMDSM0102","journal-title":"J Adv Mech Des Syst Manuf"},{"issue":"6","key":"6735_CR86","doi-asserted-by":"publisher","first-page":"068102","DOI":"10.1007\/s11432-015-0594-2","volume":"60","author":"Y Zhou","year":"2017","unstructured":"Zhou Y, He F, Qiu Y (2017) Dynamic strategy based parallel ant colony optimization on GPUs for TSPs. Sci China Inf Sci 60(6):068102","journal-title":"Sci China Inf Sci"},{"key":"6735_CR87","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1016\/j.future.2017.09.073","volume":"79","author":"Y Zhou","year":"2018","unstructured":"Zhou Y, He F, Hou N et al (2018) Parallel ant colony optimization on multi-core SIMD CPUs. Futur Gener Comput Syst 79:473\u2013487","journal-title":"Futur Gener Comput Syst"},{"key":"6735_CR88","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.neucom.2017.01.013","volume":"234","author":"S Zhou","year":"2017","unstructured":"Zhou S, Wang J, Zhang M et al (2017) Correntropy-based level set method for medical image segmentation and bias correction. Neurocomputing 234:216\u2013229","journal-title":"Neurocomputing"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6735-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-6735-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6735-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,8]],"date-time":"2019-10-08T16:17:50Z","timestamp":1570551470000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-6735-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,4]]},"references-count":88,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2019,5]]}},"alternative-id":["6735"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-6735-5","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10,4]]},"assertion":[{"value":"30 March 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 September 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 September 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 October 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}