An improved active contour model algorithm based on region

Image segmentation is a very important step in image processing. The active contour model is a commonly used image segmentation algorithm. In image segmentation based on active contours, there are phenomena that deep and weak boundaries cannot be divided. Therefore, this paper proposed an algorithm based on the machine solve the problem that the image edge segmentation is not clear. It can be seen from the results that the improved algorithm can not only accurately identify the object, but also the number of iterations is less than the original algorithm, then we can get the better result.