摘要
基于Snake模型的图像分割技术是近年来图像识别、图像分割和视频领域研究的热点之一。Snake模型承载上层先验知识并融合了图像的底层特征,能有效地应用于医学图像的分割中。以基本模型的指导思想为依据,进化模型以及改进算法得到广泛的研究。介绍了Snake模型的图像分割方法,并重点梳理了最新的研究成果,力求把握模型的发展脉络。
Snake model is one of the focuses on the image segmentation and video fields in recent years. The snake model inherits the prior knowledge of the upper layer and integrates the characteristics of the lower layer of images. It can be applied effectively to the medical image segmentation. Based on guidelines of thc basic model ,evolving models and their improved algorithms are extensively researched. An image segmentation method based on the snake model is introduced, and the latest research results are described to keep track of the development trend of the models.
出处
《武汉理工大学学报(信息与管理工程版)》
CAS
2006年第11期168-171,共4页
Journal of Wuhan University of Technology:Information & Management Engineering