摘要
Normalized cut(Ncut)是一种基于图论的方法,它融合了图像的不同特征实现图像的分割。介绍了Normalized cut的定义和算法的实现过程,总结了近年来该算法在求解特征方程方面的改进,着重讨论了Ncut算法在图像分割相关领域的应用,包括了医学图像分割、矢量场分割、视频分割等等。最后对该算法做了进一步总结,并展望了该算法的发展方向。
Normalized cut (Ncut) is a spectral graph theoretic method which can divide an image by combinations of different features. In this paper, the definition and the implementation of Normalized cut are introduced, and the improvement of computation eigenvector and eigenvalue is summarized. Finally, the application of Ncut in different fields is emphasized, such as medical image segmentation, vector field segmentation,and video .segmentation. In the end,a conclusion and some direction for further research are discussed.
出处
《计算机技术与发展》
2009年第1期228-230,233,共4页
Computer Technology and Development
基金
国家自然科学基金面上项目(30570511)