Continuous force field analysis for generalized gradient vector flow field
暂无分享,去创建一个
[1] Xun Wang,et al. A comparative study of deformable contour methods on medical image segmentation , 2008, Image Vis. Comput..
[2] Baba C. Vemuri,et al. Shape Modeling with Front Propagation: A Level Set Approach , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Berkman Sahiner,et al. An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection , 1996, IEEE Trans. Medical Imaging.
[4] Alexander A. Sawchuk,et al. Adaptive Restoration Of Images With Speckle , 1983, Optics & Photonics.
[5] Xun Wang,et al. Deformable Contour Method: A Constrained Optimization Approach , 2004, International Journal of Computer Vision.
[6] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Chandra Kambhamettu,et al. Extraction and tracking of the tongue surface from ultrasound image sequences , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[8] Jerry L. Prince,et al. Generalized gradient vector flow external forces for active contours , 1998, Signal Process..
[9] Mark S. Nixon,et al. Biased motion-adaptive temporal filtering for speckle reduction in echocardiography , 1996, IEEE Trans. Medical Imaging.
[10] Fritz Albregtsen,et al. Segmentation of ultrasound images of liver tumors applying snake algorithms and GVF , 2005 .
[11] Tony Lindeberg,et al. Scale-Space Theory in Computer Vision , 1993, Lecture Notes in Computer Science.
[12] Pascal Laugier,et al. Automatic detection of the boundary of the calcaneus from ultrasound parametric images using an active contour model; clinical assessment , 1998, IEEE Transactions on Medical Imaging.
[13] Aaron Fenster,et al. Three-dimensional ultrasound imaging system for prostate cancer diagnosis and treatment , 1998, IEEE Trans. Instrum. Meas..
[14] Woo Kyung Moon,et al. Segmentation of breast tumor in three-dimensional ultrasound images using three-dimensional discrete active contour model. , 2003, Ultrasound in medicine & biology.
[15] Guillermo Sapiro,et al. Geodesic Active Contours , 1995, International Journal of Computer Vision.
[16] J. Sethian,et al. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .
[17] Jerry L. Prince,et al. Gradient vector flow: a new external force for snakes , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[18] Anthony J. Yezzi,et al. A geometric snake model for segmentation of medical imagery , 1997, IEEE Transactions on Medical Imaging.
[19] Ramesh C. Jain,et al. Vector field analysis for oriented patterns , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[20] Chunming Li,et al. Segmentation of external force field for automatic initialization and splitting of snakes , 2005, Pattern Recognit..
[21] Kaleem Siddiqi,et al. Area and length minimizing flows for shape segmentation , 1998, IEEE Trans. Image Process..
[22] Jerry L. Prince,et al. Snakes, shapes, and gradient vector flow , 1998, IEEE Trans. Image Process..
[23] Gilson A. Giraldi,et al. Dual-T-Snakes model for medical imaging segmentation , 2003, Pattern Recognit. Lett..
[24] Demetri Terzopoulos,et al. Snakes: Active contour models , 2004, International Journal of Computer Vision.
[25] Ronald Chung,et al. Using 2D active contour models for 3D reconstruction from serial sections , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[26] M. Strintzis,et al. Maximum likelihood motion estimation in ultrasound image sequences , 1997, IEEE Signal Processing Letters.
[27] Alexander A. Sawchuk,et al. Adaptive restoration of images with speckle , 1987, IEEE Trans. Acoust. Speech Signal Process..
[28] Frédéric Galland,et al. Minimum description length synthetic aperture radar image segmentation , 2003, IEEE Trans. Image Process..
[29] Azriel Rosenfeld,et al. Picture Processing and Psychopictorics , 1970 .
[30] Faouzi Ghorbel,et al. Fourier-based geometric shape prior for snakes , 2008, Pattern Recognit. Lett..
[31] Irwin Sobel,et al. An Isotropic 3×3 image gradient operator , 1990 .
[32] B. Ripley,et al. Pattern Recognition , 1968, Nature.
[33] Luis Weruaga,et al. Convergence analysis of active contours , 2008, Image Vis. Comput..
[34] Laurent D. Cohen,et al. Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[35] Laurent D. Cohen,et al. On active contour models and balloons , 1991, CVGIP Image Underst..
[36] Herbert Freeman,et al. Machine Vision for Three-Dimensional Scenes , 1990 .
[37] Alan L. Yuille,et al. Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[38] Jun Li,et al. Nonlinear phase portrait modeling of fingerprint orientation , 2004, ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004..
[39] Josiane Zerubia,et al. Higher Order Active Contours , 2006, International Journal of Computer Vision.
[40] Chongzhao Han,et al. Force field analysis snake: an improved parametric active contour model , 2005, Pattern Recognit. Lett..
[41] Johan Montagnat,et al. New Algorithms for Controlling Active Contours Shape and Topology , 2000, ECCV.
[42] Hui-Fuang Ng,et al. Automatic thresholding for defect detection , 2004, Third International Conference on Image and Graphics (ICIG'04).
[43] James S. Duncan,et al. Deformable boundary finding in medical images by integrating gradient and region information , 1996, IEEE Trans. Medical Imaging.
[44] John R. Kender,et al. Sectored Snakes: Evaluating Learned-Energy Segmentations , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[46] Christophe Chesnaud,et al. Statistical Region Snake-Based Segmentation Adapted to Different Physical Noise Models , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[47] Demetri Terzopoulos,et al. T-snakes: Topology adaptive snakes , 2000, Medical Image Anal..
[48] Rémi Ronfard,et al. Region-based strategies for active contour models , 1994, International Journal of Computer Vision.
[49] Bjørn Olstad,et al. Encoding of a priori Information in Active Contour Models , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[50] Luis Álvarez-León,et al. Computerized ultrasound characterization of breast tumors , 2005 .
[51] Ruey-Feng Chang,et al. 3-D breast ultrasound segmentation using active contour model. , 2003, Ultrasound in medicine & biology.
[52] N. Otsu. A threshold selection method from gray level histograms , 1979 .
[53] Min Wei,et al. A fast snake model based on non-linear diffusion for medical image segmentation. , 2004, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.
[54] Johan Montagnat,et al. Shape and Topology Constraints on Parametric Active Contours , 2001, Comput. Vis. Image Underst..
[55] Jinshan Tang. A multi-direction GVF snake for the segmentation of skin cancer images , 2009, Pattern Recognit..
[56] Jun Li,et al. Constrained nonlinear models of fingerprint orientations with prediction , 2006, Pattern Recognit..
[57] Jerry L Prince,et al. Image Segmentation Using Deformable Models , 2000 .