A New Active Contour Model: Curvature Gradient Vector Flow

The paper presents a new external force field for active contour model, which is called CGVF (Curvature Gradient Vector Flow). CGVF improves on classical GVF by simplifying the formulas and increasing the item of curvature, so that the edge information can be kept well and diffused more quickly. Several standard images are used to segmenting experiments, and the results show that CGVF has obvious advantages compared with GVF in the iteration number of force field, the evolvement number of curve and the accuracy of convergence. In particular, when the initial curve is far from the edge of object, the convergence will be more superior.

[1]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[2]  James A. Sethian,et al.  Level Set Methods and Fast Marching Methods , 1999 .

[3]  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..

[4]  Laurent D. Cohen,et al.  On active contour models and balloons , 1991, CVGIP Image Underst..

[5]  James M. Keller,et al.  Snakes on the Watershed , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Pong C. Yuen,et al.  A contour detection method: Initialization and contour model , 1999, Pattern Recognit. Lett..

[7]  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.

[8]  Anil K. Jain,et al.  Object tracking using deformable templates , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[9]  Baba C. Vemuri,et al.  Shape Modeling with Front Propagation: A Level Set Approach , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  N. S. Visen,et al.  AE—Automation and Emerging Technologies: Identification and Segmentation of Occluding Groups of Grain Kernels in a Grain Sample Image , 2001 .

[11]  Y.-C. Wang,et al.  Automatic segmentation of touching rice kernels with an active contour model , 2004 .

[12]  Jerry L. Prince,et al.  Generalized gradient vector flow external forces for active contours , 1998, Signal Process..

[13]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[14]  Anil K. Jain,et al.  Deformable template models: A review , 1998, Signal Process..

[15]  Ramesh C. Jain,et al.  Using Dynamic Programming for Solving Variational Problems in Vision , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[17]  J. Morel,et al.  An axiomatic approach to image interpolation. , 1998, IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.

[18]  Anil K. Jain,et al.  Object Tracking Using Deformable Templates , 1998, ICCV.

[19]  Junaed Sattar.  Snakes , Shapes and Gradient Vector Flow , 2022 .