Comparison of Gradient, Gradient Vector Flow and Pressure Force for Image Segmentation Using Active Contours

When used as the image force for active contours, the gradient has the disadvantage of having a restricted capture range. Two solutions for improving the capture range, gradient vector flow and pressure forces, were compared. Although GVF provides a good capture range, it sometimes leads to boundary delocalisation. As an alternative, pressure forces have shown promising results for histological middle-ear images. The use of open contours was also demonstrated, in addition to the usual closed contours.

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

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

[3]  Akshay K. Singh,et al.  Deformable models in medical image analysis , 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.

[4]  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.

[5]  James A. Sethian,et al.  Level set and fast marching methods in image processing and computer vision , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[6]  Max A. Viergever,et al.  A discrete dynamic contour model , 1995, IEEE Trans. Medical Imaging.

[7]  James V. Miller On GDM's: Geometrically Deformed Models for the Extraction of Closed Shapes from Volume Data , 1990 .

[8]  Information to Users @bullet @bullet @bullet a Finite-element Model of the Middle Ear of the Moustached Bat , 2022 .