一种改进的基于水平集的主动轮廓模型图像分割算法  

An Improved Level Set Based Active Contour Model for Inhomogeneous Image Segmentation

作　　者：张琦[1] ZHANG Qi(College of Computer Science,Sichuan University,Chengdu 610065)

机构地区：[1]四川大学计算机学院,成都610065

出　　处：《现代计算机》2021年第12期92-95,102,共5页Modern Computer

摘　　要：图像分割在实际生活中具有非常重要的实用价值和研究意义。基于水平集的主动轮廓模型由于其光滑连续的演化结果,并且演化过程可以实现拓扑结构的改变,受到广泛的关注,本文提出一种新的图像分割模型,主要运用于背景不均匀的目标图像的分割场景,较比于传统的演化模型具有更加精确的结果和更好的鲁棒性。Image segmentation has very important practical value and research significance in real life.The active contour model based on level set due to its smooth and continuous evolution,and evolution process can realize the change of topological structure,has received the widespread attention,this paper proposes a new image segmentation model,mainly used in the target inhomogeneous image segmentation,over the evolution of the traditional model is more accurate results and better robustness.

关 键 词：图像分割 水平集 主动轮廓 不均匀图像 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]