To address issues about the initialization of Snakes' contour

computational inefficiency

and poor positioning accuracy of the traditional gradient vector field Snakes model

an improved GVF Snakes Model is proposed based on the analysis of the distribution and the deformation principle of the model.In the new model

edges are detected exploiting the SUSAN algorithm firstly:afterwards

a snake contour is initialized using the convex hull generated by the edge points.Then

according to the edges and the deformation principle

the model modifies the distribution of the GVF.Finally

the improved model detects the edges of synthetic images and natural images accurately.The experimental results show that the proposed model not only is efficient

but also has better performance on the weak edges and sharp corners.