Another source of two

练习绘制各种图形的源码-practice to draw various graphics FOSS

该工程从五万张图片中提取每张图片的Gist特征，每张图片都有自己所属类别的标签，然后用Liblinear分类器进行训练，得到一个模型，再对一万张图片进行预测，与这一万张图片的标签信息对比，得出预测正确率                                                                                                                                                      

用DELPHI直接生成DWG文件（更新）-DELPHI directly with DWG files to generate (update)

完成机器视觉里反透视变换功能，可以确定敢兴趣区，确定图像到实际道路的分辨率-completion of the anti-machine vision Lane perspective transformation function, it is possible to identify am interested in the district to determine the actual images of the road resolution

一个多目标跟踪的matlab代码，里面附有说明文档。其中背景差分法可以实现实时更新。该代码在检测与跟踪少量目标时效果很好，但是跟踪目标大于8后，效果下降很多-

有向无环图操作示例代码-a directed acyclic graph operation code examples

图像几何变换（如旋转）时用到的最近领域和双线性插值方法，-Image geometric transformations (eg rotation), when used in recent field and bilinear interpolation methods,

设定屏幕抓起范围的像素坐标后运行可以抓取屏幕中的设定范围的屏幕图片内容

用如求直立主图统计程序。RGB有3个座标，分别是R,G,B，其值从0－255。把0－255分成4段，那么每个座标有4种取值，共可以表示4*4*4＝64种颜色。程序中主要是histogram函数,它有两个参数，第1个参数是一个64位数组，每一位表示一种颜色，其值是该颜色出现的次数。另外两个函数numbercolor是对每个像素计算它的颜色值，fenduan是对参数x返回0－255中的某一段。主函数测试一副图片的颜色直方图的统计。-Used as the main map for vertical statistical procedures. RGB has three coordinates, namely R, G, B, its value from 0-255. The 0-255 is divided into 4, then there are four kinds of each coordinates value, can indicate a total of 4* 4* 4 = 64 kinds of colors. Process is mainly histogram function, it has two parameters, the first a parameter is a 64-digit group, each and every one expressed a different color, its value is the number of the color appears. The other two function numbercolor is calculated for each pixel its color value, fenduan of parameters x the return of a certain period of 0-255. The main function to test a picture of the color histogram statistics.

图像特征提取的源代码，使用sobel算子提取图像边缘，使用hu矩提取图像形状特征，使用颜色中心矩提取图像颜色特征，请使用eclipes导入该工程并运行test文件（可将test文件中去掉一些注释部分运行更多功能）-Image Feature Extraction of the source code, use the sobel operator edge extraction, the use of hu moments shape feature extraction of images, the use of color centers Moment image color feature extraction, use eclipes into the project and run the test file (test file could be to some notes run out some more features)