With the development of image processing technology

the image segmentation technology is also in maturity

however

more segmentation method has some limitations at present

it is very difficult to realize global segmentation with the traditional method

and difficult to realize the efficient and accurate segmentation for the objects with the weak or blurred edge. A novel region-based active contour model is proposed in this paper. It is based on the geodesic active contour GAC and C_V model. Through the experimental analysis

first

the algorithm greatly improves the accuracy of segmentation

the evolution of contour can stop near the edge of object

even if the edge of target is weak or blurred. This algorithm overcomes disadvantages of traditional active contour segmentation algorithm in local segmentation

effectively realized the global segmentation.