寻找图象中图钉的中心点,文件中包含两个原文件和一个图象文件....

用旋转变换的方法生成一个有40个点，内径为100，外径为200的星形图形。 程序运行按键说明：q,w比例变换，a,s旋转变换，j,l,i,k为平移变换。-rotating transform, the formation of a 40 point, the diameter of 100 and 200 the diameter of astrocytes graphics. Running Press : q, w ratio conversion, a, s rotation transformation, j, l, i, k translation transformation.

一个非常强大的坐标系程序，功能齐全，包括放大缩小。-It s powerful coordinate system program that contains fully meathod,and it include zoom in and zoom out.

各种特色按钮图标-feature button icons

图形学多边形裁减算法演示实例-graphics polygon reduction algorithm demonstration examples

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)

一个可以在桌面自由绘图的小程序，界面优秀-A free drawing on the desktop of small procedures, excellent interface

资源描述使用视频数据，并对视频数据进行了预处理，以及对混合高斯模型提取的目标进行形态学操作，并进行了边缘检测提取出运动目标。使用的是opencv3写的

这是一个基于卫星通讯的牌照自动识别收费系统，应用平台完全采用VC++开发。-This is a satellite communications-based automatic recognition of license fee system, application platform completely VC++ Development.

载入高达3ds模型,一个简单 的 hello world 式的 小 opengl程序 -hello world of import 3ds model

该软件最主要的功能就是要能识别出人脸，首先该系统需要对通过摄像头拍照而获取到的原始的人脸图片进行一系列处理才可进行下一步的工作，该处理过程也称图像预处理。预处理这个模块在整个人脸识别系统的开发过程中占有很重要的地位，只有预处理模块做的好，才可能很好的完成后面的人脸定位和特征提取这两大关键模块。-The main features of the software is to be able to identify the face, first of all, the system need to take pictures through the camera and access to the original face image can only be carried out a series dealing with the work of the next step, the process also known as image pretreatment. Pretreatment of the Face Recognition System module in the entire process of development plays an important role, and only do pre-processing module, and can be very good after the completion of the Human Face Localization and Feature Extraction of these two key modules.