total_mkl_matlab

输入一个带权无向图的顶点数、边数、各条边信息（两个顶点和权值），建立该图的邻接矩阵结构，输出该邻接矩阵。将上述无向图邻接矩阵转换为邻接表结构，输出该邻接表；根据该邻接表对无向图进行深度优先遍历序列和广度优先遍历序列，并输出遍历结果；用prim算法实现构造该带权无向图的最小生成树，并将该最小生成树的各条边信息输出。(Enter a weighted undirected graph with vertices, edges, each of the side information (two vertices and weights), the establishment of the adjacency matrix structure, the output of the adjacency matrix. The above undirected graph adjacency matrix into adjacency list structure, the output of the adjacency list according to the adjacency table undirected graph depth-first traversal sequence and breadth-first traversal sequence, and outputs through the results using prim algorithm construct the weighted undirected graph minimum spanning tree, and the minimum spanning tree information on respective sides of the output.)

实现上位机对wifi智能车的控制，接收路由器传输图像并显示界面是用Qt4.0编写，开发环境QtCreater 图像处理Opencv(Host computer for wifi smart car control, image transmission and display the receiving router)

实现了基于压缩传感理论的超分辨率图像重构算法(Compressed sensing theory-based super-resolution image reconstruction algorithm)

评估指标为点目标距离向和方位向峰值坐标、峰值旁瓣比、一维积分旁瓣比、剖面图(The evaluation indexes are peak coordinates, peak sidelobe ratio, one-dimensional integral sidelobe ratio and profile of point targets in range and azimuth directions.)

从两幅图中找到相匹配的点的程序，可以调整搜索范围(failed to translate)

模式识别中运用ICA进行特征提取的matlab代码(Pattern Recognition in the use of ICA for feature extraction matlab code)

基于灰度直方图的otsu（大津法）改进算法实现图片前景背景分离（matlab代码，实验报告）(Improved algorithm based on gray-scale histogram the otsu (Otsu method) background picture prospects separation (Matlab code, lab report))

计算一幅灰度图像的直方图；进行简单的线性变换，并与源图像的直方图做变换；利用直方图均衡化进行图像增强(Calculating a gray-scale image histogram simple linear transformation, and to do with the source image histogram transformation the use of histogram equalization for image enhancement)

运用偏微分方程(PDE)方法进行图像处理的matlab程序，包括图像滤波、图像分割、插值、图像增强、恢复及一些方程组求解等在偏微分方法处理图像处理领域常用且重要的处理程序，供大家学习。(The use of partial differential equations methods matlab image processing procedures, including image filtering, image segmentation, interpolation, image enhancement, restoration, and some partial differential equations approach to solving such as in the field of image processing procedures used and important for them to learn.)

应用条件随机场进行图像分割 使用方法：将pydensecrf-py27或pydensecrf-py35重命名为pydensecrf，放入C:Program FilesAnaconda3Libsite-packages 运行：python inference.py im1.png anno1.png out.png(Renameing the file "pydensecrf-py27" or "pydensecrf-py35" to the new name "pydensecrf" Puting this file "pydensecrf" in this directory "C:Program FilesAnaconda3Libsite-packages" cd examples/ python inference.py im1.png anno1.png out.png)