Constrained active contours for boundary refinement in interactive image segmentation
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[1] Marie-Pierre Jolly,et al. Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images , 2001, ICCV.
[2] Andrew Blake,et al. "GrabCut" , 2004, ACM Trans. Graph..
[3] Xavier Bresson,et al. Fast Global Minimization of the Active Contour/Snake Model , 2007, Journal of Mathematical Imaging and Vision.
[4] Andrew Blake,et al. GeoS: Geodesic Image Segmentation , 2008, ECCV.
[5] Larry S. Davis,et al. Improved fast gauss transform and efficient kernel density estimation , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[6] Demetri Terzopoulos,et al. Snakes: Active contour models , 2004, International Journal of Computer Vision.
[7] Leo Grady,et al. Random Walks for Image Segmentation , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Guillermo Sapiro,et al. Geodesic Matting: A Framework for Fast Interactive Image and Video Segmentation and Matting , 2009, International Journal of Computer Vision.
[9] Wenxian Yang,et al. User-Friendly Interactive Image Segmentation Through Unified Combinatorial User Inputs , 2010, IEEE Transactions on Image Processing.
[10] Guillermo Sapiro,et al. A Geodesic Framework for Fast Interactive Image and Video Segmentation and Matting , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[11] F. K. Lam,et al. Object boundary location by region and contour deformation , 1996 .
[12] Marie-Pierre Jolly,et al. Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[13] Jianfei Cai,et al. A diffusion approach to seeded image segmentation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[14] Leo Grady,et al. A Seeded Image Segmentation Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm , 2007, 2007 IEEE 11th International Conference on Computer Vision.