搜索资源列表
MyGC.rar
- 基于opencv框架下的graph cuts算法实现,Opencv based on the framework of graph cuts algorithm
GraphSegment.rar
- 基于OpenCV开发的基于图论的快速图像分割方法，可以选择分割使用的彩色空间，可以设置参数。,effcient graph-based image segmentation on different color spaces programmed on OpenCV.
GrabCut
- 基于opencv的图像分割算法，改进了graph cut算法-image segmentation algorithm based on Opencv， improved from graph cut algorithm
MRF-benchmarks
- markov random fields的各类优化算法及应用Optimization methods included: 1) ICM 2) Graph Cuts 3) Max-Product Belief Propagation 4) Sequential tree-reweighted message passing (TRW-S) Applications include: (1)binary (2)denoise (3)stereomatch (
trackopenvcing
- 一个基于Visual C++和opencv的运动检测程序，运行时鼠标画框圈选运动的无图就可以实现跟踪源代码。-Based Visual C++ and opencv motion detection program, run the mouse movement without frame circle graph tracking the source code can be achieved.
main
- 直方圖等化(Histogram Equalization)為一種使用統計方法的影像處理程式設計,它的功能為將統計直方圖的色彩分布平均的打散在直方圖裡,也就是說,讓一張圖的直方圖分布均勻化,同樣的也是使用到LUT(Look-up Table)的方法 而在設計直方圖等化不可或缺的就是需要先知道統計學的機率密度函數(Probability Density Function,PDF)以及累積分配函數(Cumlative Distribution Function,CDF)相關的基本概念,在這邊
graph-basedsegmentation
- 这个代码是文章Efficient Graph-Based Image Segmentation的实现，结合了vs2008和opencv，该算法进行分割，速度很快，效果不错。-The source code is an implementation of the paper: Efficient Graph-Based Image Segmentation. VS2008 and Opencv are combined in the implementation process.
graph-based_segment
- 基于图论的图像分割，使用区域之间和区域内部进行比较的准则，对于风景图片效果不错。-Graph-based image segmentation, using the region based comparison criteria, good for scene images.
pyramid-segmentation-to-colour-graph
- 在opencv和vc6.0环境下采用金字塔方法对彩色图像进行了分割，算法稳定可靠-In the opencv and vc6.0-environment pyramid method for color image segmentation, the algorithm is stable and reliable
floodfill-algorithm-to-colour-graph
- 在opencv和vc6.0环境下实现了floodfill算法对彩色图像进行操作，效果良好-Opencv and vc6.0-environment floodfill algorithm to color images, to good effect
graph_cut_
- using opencv to do graph cut.instead a grab cut, this is a graph cut using opencv besed C++, it is easy to be used.
MyGrabCut
- GrabCut 迭代图割算法实现：其中只有部分k—means算法和maxflow算法调用opencv库，其程序可以随意更改，测试算法时间，做改进算法练习-GrabCut iterative graph cut algorithm: where only part of the k-means algorithm and maxflow algorithm calls opencv library, the program can change, time to test the algorith
Interactive-Image-Segmentation
- 交互式图像分割，是根据Yuri Boykov and Marie-Pierre Jolly的文章，用C++和OpenCV实现的-Automatic image segmentation is a hard problem and, is not flexible enough to be used for general segmentation. The objective of this project is to implement an interactive image segment
graphUtils
- OpenCV库根据提供的数组画数据图，使用这个库可以在屏幕上，或者图像上画曲线图。可以在测试一个算法时，非常方便的观察到数字数组。-Showing a simple graph of an array.This library is just a collection of functions that can be used to simply plot a graph of an array in its own window, or to overlay graphs into exi
HarrisCorner
- 对输入的一张彩色图像，自己写代码实现Harris Corner 检测算法： 1. 不能直接调用OpenCV 里面与Harris 角点检测相关的一些函数； 2. 只能用C/C++，不能用其他语言； 3. GUI 只能用自带的HighGUI，不能用QT 或其他的； 4. 平台可以用Windows， Linux, MacOS； 5. 显示中间的处理结果及最终的检测结果，包括最大特征值图，最小特征值图，R 图（可以考虑彩色 展示），原图上叠加检测结果等，并将这些中间结果都输出成图
segment
- 一个学生写的Graph Cuts算法用于分割的OpenCV实现-Graph Cuts Segmentation in OpenCV
OpenCV官方教程中文版（For Python）
- 图形识别，机器学习，数字识别，python学习(Graph recognition, machine learning, digit recognition, python learning)
模板匹配
- 模板匹配用来在一副大图中搜寻查找模板图像位置的方法(Template matching is used to search for a method of searching the location of template images in a large graph)