Gradient Vector Flow: A New External Force for Snakes
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Modern approaches in detection of page separators for image clustering
WSEAS Transactions on Computers
A fast and robust method for the identification of face landmarks in profile images
WSEAS Transactions on Computers
Transient temperature analysis of a cylindrical heat equation
WSEAS Transactions on Mathematics
Document layout analyze using hierarchical processing
VIS'08 Proceedings of the 1st WSEAS international conference on Visualization, imaging and simulation
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A hybrid snake algorithm is presented in this paper. The procedure is based on combining a dynamic balloon force, a GVF force and a traditional gradient force. The balloon force is modified in order to increase the capture range and convergence speed of active contour in a dynamic way. Our interest is to give the balloon force a bigger preponderance at the early of procedure and a smaller weight at the later stage. The superposition of effects get through the GVF force and the gradient force is ruled by a user parameter. Our GVF force is computed for a decreased number of iterations during the calculation process and so the diffusion field is located near edges only. In this manner, we can use this snake for segmentation of objects with strong edges inside or outside. The synthetic experiments and real-time face tracking application presented in this paper prove the feasibility of this hybrid snake.