Computer Science ›› 2021, Vol. 48 ›› Issue (8): 150-156.doi: 10.11896/jsjkx.200800221
• Computer Graphics & Multimedia • Previous Articles Next Articles
JIN Hai-yan1,2, PENG Jing1, ZHOU Ting1, XIAO Zhao-lin1,2
CLC Number:
[1]KOLMOGOROV V,ZABIN R.What energy functions can beminimized via graph cuts[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2004,26(2):147-159. [2]BOYKOV Y,KOLMOGOROV V.An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2004,26(9):1124-1137. [3]LIANG L M,HUANG C L,SHI F.Horizontal set of fusion shape priori for fundus image vascular segmentation[J].Journal of Computer Science,2018,41(7):1678-1692. [4]ZHU Z L,LIU Y J.Fusion chaos optimization and improvedfuzzy clustering for image segmentation algorithm[J].Electronic Journals,2020,48(5):975-984. [5]LI Y,CHEN X,ZHU Z,et al.Attention-Guided Unified Network for Panoptic Segmentation[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).2019:7019-7028. [6]ZHANG Z L,LI A H,CHU W.Hyperpixel segmentation algorithm based on density peak search clustering[J].Chinese Journal of Computers,2020,43(1):1-15. [7]QIN H F,LIU X.Finger Vein Image Segmentation Based onSparse Auto-Encoder[J].Journal of Chongqing Technology and Business University(Natural Science Edition),2019,36(4):1-8. [8]HE T,GUO Y G,XIN C H.ACM selection system combined with improved Chan-Vese model adaptive image segmentation method[J].Journal of Chongqing University of Technology (Natural Science),2020,34(2):165-173. [9]YANG Z,WANG J,XIN C H.Automatic Segmentation andClassification of MR Images Using DCE-MRI Combined with Improved Convolutional Neural Network[J].Journal of Chongqing University of Technology (Natural Science),2020,34(2):147-157. [10]WANG R H,LI B,TENG Q Z.Core FIB-SEM Image Segmentation Algorithm Based on Convolutional Neural Network[J].Computer Engineering,2021,47(1):264-274. [11]LI P,CHEN J Q,MA W M,et al.Sonar Image Segmentation Based on Multiscale Features in Contourlet Domain[J].Computer Engineering,2019,45(9):253-259. [12]PRICE B L,MORSE B S,COHEN S.LIVEcut:Learning-basedinteractive video segmentation by evaluation of multiple propagated cues[C]//Proceedings of the 2009 IEEE 12th Internatio-nal Conference on Computer Vision.Kyoto.2009:779-786. [13]SUN C,LU H.Interactive Video Segmentation via Local Ap-pearance Model [J].IEEE Transactions on Circuits and Systems for Video Technology.2017,27(7):1491-1501. [14]ZHOU C,LIU C.Co-segmentation of multiple similar imagesusing saliency detection and region merging [J].Iet Computer Vision,2014,8(3):254-261. [15]LI Y,ZHANG J,GAO P,et al.Grab Cut Image Segmentation Based on Image Region[C]//2018 IEEE 3rd International Conference on Image,Vision and Computing(ICIVC).2018:311-315. [16]BATRA D,KOWDLE A,PARIKH D,et al.iCoseg:Interactive co-segmentation with intelligent scribble guidance[C]//Procee-dings of the 2010 IEEE Computer Society Conference on Compu-ter Vision and Pattern Recognition.2010:3169-3176. [17]LI Z,LIU J,YANG Y,et al.Clustering-Guided Sparse Structu-ral Learning for Unsupervised Feature Selection[J].IEEE Transactions on Knowledge and Data Engineering,2014,26(9):2138-2150. [18]LI Z,TANG J.Unsupervised Feature Selection via Nonnegative Spectral Analysis and Redundancy Control[J].IEEE Transactions on Image Processing,2015,24(2):5343-5355. [19]LI X,ZHANG H,ZHANG R,et al.Discriminative and Uncorre-lated Feature Selection with Constrained Spectral Analysis in Unsupervised Learning[J].IEEE Transactions on Image Processing,2020,29:2139-2149. [20]LO W Y,BAAR J V,KNAUS C,et al.Stereoscopic 3D Copy & Paste[J].Acm Transactions on Graphics.2010,29(6):147. [21]PRICE B L,COHEN S.StereoCut:Consistent interactive object selection in stereo image pairs[C]//Proceedings of the 2011 International Conference on Computer Vision.Barcelona,2011:1148-1155. [22]JU R,XU X,YANG Y,et al.Stereo GrabCut:Interactive and Consistent Object Extraction for Stereo Images[C]//Procee-dings of the Advances in Multimedia Information Processing(PCM 2013).2013:418-429. [23]MA W,YANG L,ZHANG Y,et al.Fast interactive stereoimage segmentation[J].Multimedia Tools and Applications,2016,75(18):10935-10948. [24]MA W,QIN Y,YANG L,et al.Interactive Stereo Image Seg-mentation with RGB-D Hybrid Constraints[J].IEEE Signal Processing Letters,2016,23(11):1533-1537. [25]PENG J,SHEN J,LI X.High-Order Energies for Stereo Seg-mentation[J].IEEE Transactions on Cybernetics,2016,46(7):1616-1627. [26]JU R,REN T,WU G.StereoSnakes:Contour Based Consistent Object Extraction for Stereo Images[C]//Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV).2015:1724-1732. [27]BOYKOV Y Y,JOLLY M.Interactive graph cuts for optimalboundary & region segmentation of objects in N-D images[C]//Proceedings of the Eighth IEEE International Conference on Computer Vision(ICCV 2001).2001:105-112. [28]ZHANG K,FANG Y,MIN D,et al.Cross-scale cost aggregation for stereo matching[J].IEEE Transactions on Circuits and Systems for Video Technology.2017,27(5):965-976. [29]ARBELÁEZ P,MAIRE M,FOWLKES C,et al.Contour Detection and Hierarchical Image Segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(5):898-916. |
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