Two algorithms, graph cut and random walk based on graph theory, were applied to motion segmentation.
将两种基于图论的算法图切割与随机游走应用于运动对象的分割。
The hybrid algorithm first filters an image using mean shift technique and then segments the image with graph based segmentation algorithm.
混合算法首先利用均值漂移技术对图像进行滤波，然后再使用图分割算法对图像进行分割。
Graph cut method is based on the theory of graphics, and it is one of hot spots in international image segmentation field recent years.
图切分方法是一种基于图论的分割方法，也是近年来国际图像分割领域的一个研究热点。
Aiming at the problem of poor real-time ability of graph cut, this paper suggests a remote sensing image segmentation approach based on quarter-tree and graph cut.
针对图割算法实时性差的问题，提出一种基于四叉树与图割的遥感图像分割方法。
Segmentation of motion objects based on graph cuts and C-V model;
将两种基于图论的算法图切割与随机游走应用于运动对象的分割。
Segmentation of motion objects based on graph cuts and C-V model;
将两种基于图论的算法图切割与随机游走应用于运动对象的分割。
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