A Coupled Active Contour Model and Its Application in Image Segmentation
一种耦合的活动轮廓模型及其在图像分割中的应用

In this paper,we improved the external energy of active contour model,proposed a new adaptive segmentation image model aimed at gray-level image and extended it to the vector value image segmentation.New model couples the fast edge integration and simply statistical methods.The prior information of regions and boundaries of image has been considered sufficiently in this model,and different segmentation models can be constructed based on different probability density function respectively.An instance based Gaussian probability density function has been given in this paper and the AOS scheme that is efficient and unconditional stable has been used to segment the gray image and the vector values image.Compared with Fast Edge Integration method,the experiment results show that the new approach is more accurate and robust and can obtain very good partition.