基于活动轮廓模型的图像分割方法作为计算机视觉应用领域的一个研究热点而倍受关注.文中首先阐述活动轮廓模型的数学模型及其相关的数值实现方法.然后以参数活动模型和几何活动模型的发展为主线,对活动模型的发展进行综述,对其应用于图像分割的经典方法、优势和所存在的问题进行比较性研究.最后对活动轮廓模型的未来发展进行展望.
Image segmentation based on active contour model(ACM) is a hotspot in computer vision. Firstly, the mathematical model of ACM and the related numerical implementation are discussed. Secondly, two development models of ACM are summarized in contrast: parameter active contour model and geometry contour model. The comparative study of these two kinds of models and the deep discussion on the scope of image segmentation application and advantages and disadvantages of each kind of techniques are carried out. Finally, the directions of future development in ACM are pointed out.