基于模拟退火思想的snake算法

In recent years, the resolution of remote sensing images has increased. It becomes more and more important to recognize the objects from remote sensing. The snake model is a searching algorithm which can use advanced knowledge to find the edge of the object initiatively from the image and to track it accurately. However, since the constraints of the image quality, this algorithm is easily affected by noise. This paper attempts to introduce the idea of simulate anneal arithmetic into the snake model, and try to use the nature of the global optimal solution of the simulate anneal arithmetic to iprove the accuracy of the snake model and then apply them in practice.