This paper

beginning with analyzing the characteristics of Topology adaptive Snake model

points out its weak points: sensitivity of initial position

tendency of the stability in a place

and failure of automatic Topology change. Therefore

this paper proposes a new model: the adaptive active contour model based on distance equalization. This new model

through the average distance between the vertex and the line of its neighborhood dots

improves the internal energy term in the Snake model

thus much more stabilizing the contour in the process of movement. Meanwhile

the characteristics of the contour itself determine the movement of the contour

so that the adaptability of such model has been comparatively improved. By constructing and applying the inflation force

this model could be of wide use in relatively bigger areas to capture the images. This paper also proves that the experiments of segmenting synthesis and real images

conducted under the guidance of the model

have achieved effective results.