搜索资源列表
graphcut
- 在计算机视觉中的立体匹配算法----最大流最小割,最新的研究成果.-in computer vision of the stereo matching algorithm-largest flow minimum cut, the latest research results.
faulttree
- 简单的故障分析树程序，能够分析输入等式生成树形图形，有计算最小割集功能-Fault tree analysis of a simple process, be able to enter the equation analysis tree generated graphics, there is calculation of the minimum cut-set function
graph_cut
- 最大流最小割的代码，功能很好很强大，可以用在图形剪除这方面。-Maximum flow minimum cut of the code, very very powerful feature can be used to cut off this area in the graphics.
tanxin
- 算法设计与分析中贪心算法C++实现代码 包括但愿最短路径问题，哈弗曼编码，整数最有分解，最小生成树，最优分解，删数问题等-Algorithm Design and Analysis of greedy algorithm in C++ code, including the realization of hope that the shortest path problem,哈弗曼coding, the most integral decomposition, minimum spanning
dinic_l
- 主要实现图片的打开，并用最大流最小割定理实现图片的切割-Picture open, and the maximum flow minimum cut theorem of pictures cut
Algorithm
- 一些算法的简单实现，最大流最小割、B树、最大堆、最短路径等-Simple implementation of the algorithm, the maximum flow minimum cut tree B, the maximum heap shortest path
Puma-phase-unwrapping
- 利用图割方法（最大流最小割）进行相位解缠-Use graph cut method (maximum flow minimum cut) for phase unwrapping
maxflowmincut
- 基于图论的图像分割——最大流最小割算法。内含最大流最小割算法通用matlab程序。-Maximum flow minimum cut algorithm- based on graph theory image segmentation. Maximum flow minimum cut algorithm contains generic matlab program.
Stoer-Wagner
- 一个新的求图的最小割的方法，Stoer-Wagner能够求得最佳分割方式，而且其速度很快。 -A new method for the minimum cut of the graph, Stoer-Wagner is able to get the best segmentation method, and its speed is very fast.
maxflow
- 最大流分割程序，利用最大流最小割定理进行图像分割的matlab源码-Maximum flow segmentation program, using the maximum flow minimum cut theorem for image segmentation matlab source
senfie_v88
- 最小均方误差等算法的MSE的计算,直线阵采用切比学夫加权控制主旁瓣比，包括调制，解调，信噪比计算。- Minimum mean square error MSE calculation algorithm, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Includes the modulation, demodulation, signal to nois
Bk_matlab
- 利用能量最小法中的图割法，解决图像分类问题，最大流=最小割(The minimum method of energy in the map cut method to solve the problem of image classification)