A multi-scale level set method based on local features for segmentation of images with intensity inhomogeneity

Pattern Recognition - Tập 91 - Trang 69-85 - 2019
Hai Min1,2,3, Li Xia2,3, Junwei Han4, Xiaofeng Wang5, Qianqian Pan2,6, Hao Fu2,6, Hongzhi Wang2,3, Stephen T.C. Wong7, Hai Li2
1School of Computer and Information, Hefei University of Technology, Hefei 230009, China
2Anhui Province Key Laboratory of Medical Physics and Technology, Center of Medical Physics and Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
3Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, China
4School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
5Key Lab of Network and Intelligent Information Processing, Hefei University, Hefei, Anhui 230601, China
6University of Science and Technology of China, Hefei 230027, China
7Department of Systems Medicine and Bioengineering, Houston Methodist Research Institute, Weill Cornell Medical College of Cornell University, Houston, TX 77030, USA

Tài liệu tham khảo

Gao, 2011, A relay level set method for automatic image segmentation, IEEE Trans. Syst. Man Cybern. B, 41, 518, 10.1109/TSMCB.2010.2065800 Ali, 2016, A variational model with hybrid images data fitting energies for segmentation of images with intensity inhomogeneity, Pattern Recogn., 51, 27, 10.1016/j.patcog.2015.08.022 Cremers, 2007, A review of statistical approaches to level set segmentation: integrating color, texture, motion and shape, Int. J. Comput. Vis., 72, 195, 10.1007/s11263-006-8711-1 Li, 2011, A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI, IEEE Trans. Image Process., 20, 2007, 10.1109/TIP.2011.2146190 Min, 2015, An Intensity-Texture model based level set method for image segmentation, Pattern Recogn., 48, 1547, 10.1016/j.patcog.2014.10.018 Tsai, 2001, Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification, IEEE Trans. Image Process., 10, 1169, 10.1109/83.935033 Paragios, 2002, Geodesic active regions and level set methods for supervised texture segmentation, Int. J. Comput. Vis., 46, 223, 10.1023/A:1014080923068 Gao, 2005, Image segmentation and selective smoothing by using Mumford-Shah model, IEEE Trans. Image Process., 14, 1537, 10.1109/TIP.2005.852200 Chan, 2001, Active contours without edges, IEEE Trans. Image Process., 10, 266, 10.1109/83.902291 Mumford, 1989, Optimal Approximations by Piecewise Smooth Functions and Associated Variational-Problems, Commun. Pur. Appl. Math., 42, 577, 10.1002/cpa.3160420503 Vese, 2002, A multiphase level set framework for image segmentation using the Mumford and Shah model, Int. J. Comput. Vis., 50, 271, 10.1023/A:1020874308076 Brown, 2012, Completely convex formulation of the chan-vese image segmentation model, Int. J. Comput. Vis., 98, 103, 10.1007/s11263-011-0499-y Brox, 2009, On local region models and a statistical interpretation of the piecewise smooth mumford-shah functional, Int. J. Comput. Vis., 84, 184, 10.1007/s11263-008-0153-5 Sum, 2008, Vessel extraction under non-uniform illumination: a level set approach, IEEE Trans. Bio-Med. Eng., 55, 358, 10.1109/TBME.2007.896587 Zhang, 2015, A Level Set Approach to Image Segmentation With Intensity Inhomogeneity, IEEE Trans. Cybern., 46, 546 Dai, 2015, Inhomogeneity-embedded active contour for natural image segmentation, Pattern Recogn., 48, 2513, 10.1016/j.patcog.2015.03.001 Wang, 2014, Robust level set image segmentation via a local correntropy-based K-means clustering, Pattern Recogn., 47, 1917, 10.1016/j.patcog.2013.11.014 Darolti, 2008, Local Region Descriptors for Active Contours Evolution, IEEE Trans. Image Process., 17, 2275, 10.1109/TIP.2008.2006443 Lankton, 2008, Localizing region-based active contours, IEEE Trans. Image Process., 17, 2029, 10.1109/TIP.2008.2004611 Li, 2008, Minimization of region-scalable fitting energy for image segmentation, IEEE Trans. Image Process., 17, 1940, 10.1109/TIP.2008.2002304 Li, 2007, Implicit active contours driven by local binary fitting energy, 339 Zhang, 2010, Active contours driven by local image fitting energy, Pattern Recogn., 43, 1199, 10.1016/j.patcog.2009.10.010 Liu, 2012, A local region-based Chan-Vese model for image segmentation, Pattern Recogn., 45, 2769, 10.1016/j.patcog.2011.11.019 Wang, 2010, An efficient local Chan-Vese model for image segmentation, Pattern Recogn., 43, 603, 10.1016/j.patcog.2009.08.002 Zhang, 2015, A Variational approach to simultaneous image segmentation and bias correction, IEEE Trans. Cybern., 45, 1426, 10.1109/TCYB.2014.2352343 Ji, 2015, Active contours driven by local likelihood image fitting energy for image segmentation, Inf. Sci., 301, 285, 10.1016/j.ins.2015.01.006 Niu, 2017, Robust noise region-based active contour model via local similarity factor for image segmentation, Pattern Recogn., 61, 104, 10.1016/j.patcog.2016.07.022 Lin, 2003, Combinative multi-scale level set framework for echocardiographic image segmentation, Med. Image Anal., 7, 529, 10.1016/S1361-8415(03)00035-5 Kim, 2009, Multi-Scale Level Set Based Curve Evolution for Real-Time Non-Rigid Object Contour Tracking, Tencon. IEEE Region., 65 Sui, 2012, A novel multi-scale level set method for SAR image segmentation based on a statistical model, Int. J. Remote Sens., 33, 5600, 10.1080/01431161.2012.666814 Nercessian, 2013, Non-linear direct multi-scale image enhancement based on the luminance and contrast masking characteristics of the human visual system, IEEE Trans. Image Process. A Publ. IEEE Signal Process. Soc., 22, 3549, 10.1109/TIP.2013.2262287 Li, 2014, Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation, Mag. Resonance Imaging, 32, 913, 10.1016/j.mri.2014.03.010 Sato, 1998, Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images, Med. Image Anal., 2, 143, 10.1016/S1361-8415(98)80009-1 Rajapakse, 1998, Segmentation of MR images with intensity inhomogeneities, Image Vis. Comput., 16, 165, 10.1016/S0262-8856(97)00067-X Vovk, 2007, A review of methods for correction of intensity inhomogeneity in MRI, IEEE Trans. Med, Imaging, 26, 405, 10.1109/TMI.2006.891486 Han, 2001, A multi-scale method for automatic correction of intensity non-uniformity in MR images, J. Magn. Reson Imaging, 13, 428, 10.1002/jmri.1062 Zhang, 2013, An Efficient Algorithm for Multiphase Image Segmentation with Intensity Bias Correction, IEEE Trans. Image Process, 22, 3842, 10.1109/TIP.2013.2262291 Pont-Tuset, 2016, Multiscale combinatorial grouping for image segmentation and object proposal generation[J], IEEE Trans. Pattern Anal. Mach. Intell., 39, 128, 10.1109/TPAMI.2016.2537320 Mesadi, 2017, 26 Wang, 2017, An active contour model based on local fitting image for image segmentation, Inf. Sci., 418-419, 61, 10.1016/j.ins.2017.06.042 Wang, 2018, Simultaneous segmentation and bias field estimation using local fitted images[J], Pattern Recog., 74, 145, 10.1016/j.patcog.2017.08.031 Liu, 2018, Weighted variational model for selective image segmentation with application to medical images, Pattern Recog., 76, 367, 10.1016/j.patcog.2017.11.019 Wang, 2015, Multi-scale local region based level set method for image segmentation in the presence of intensity inhomogeneity, Neurocomputing, 151, 1086, 10.1016/j.neucom.2014.01.079 Parambath, 2014, Optimizing F-measures by cost-sensitive classification, 2123 http://www.wisdom.weizmann.ac.il/∼vision/Seg_Evaluation_DB/1obj/index.html. Rodtook, 2018, Automatic initialization of active contours and level set method in ultrasound images of breast abnormalities, Pattern Recog., 79, 172, 10.1016/j.patcog.2018.01.032 Gharipour, 2016, Segmentation of cell nuclei in fluorescence micro scopy images: an integrated framework using level set segmentation and touching-cell splitting, Pattern Recog., 58, 1, 10.1016/j.patcog.2016.03.030 Dubrovina-Karni, 2015, Multi-region active contours with a single level set function, IEEE Trans. Pattern Anal. Mach. Intell., 37, 1585, 10.1109/TPAMI.2014.2385708 Gu, 2017, Generalizing mumford-shah model for multiphase piecewise smooth image segmentation, IEEE Trans. Image Process., 26, 942, 10.1109/TIP.2016.2636450 Wang, 2009, Active contours driven by local gaussian distribution fitting energy, Signal Process., 89, 2435, 10.1016/j.sigpro.2009.03.014