A New Fast Algorithm of Curve Evolution Based on PSO and Level Set
Min Dong · Ceshi jishu xuebao · 2008
This paper presents a new method for curve evolution based on PSO and Level Set.PSO is first proposed to find the optima of snake points for rapidly converging near image edge.Then the interpolation algorithm is applied to gaining the object's rough contour that is used as the initial zero level set.The accurate contour can be obtained by the approach of narrow band level set.The new method overcomes the disadvantages of the sensitivity of active contour models to its initial position,the poor convergence to boundary concavities which existed in the traditional Snake algorithm,sensitivity to noise and complex computation.Experimental results show that the new algorithm is efficient and the evolution result is precise.