Image segmentation using edgeflow-driven geometric snake
Ying Yang, Xin Gao · 2007
Active contours, or snakes, have been used widely for image segmentation. A novel method incorporating geodesic curves and region information is introduced. The extra region force gives the active contour model a global complementary view of the boundary information within the image. The proposed method incorporates edge information, namely edgeflow, into active contours. We refer to this as edgeflow-driven geometric snake or EDGS. The partial differential equation (PDE) resulting from this integration of image edgeflow and region term is implemented using a level set approach. Experimental results demonstrate that the proposed method makes sound results, especially with respect to images within weak boundaries, and noise.