hyit_DW

说明：  一个较好效果的彩色图像合成代码(分左右两个视窗,点击左边的视窗后显示左图,选择操作后,点击右视窗,可看到各种不同合成操作的效果图)(a good result Color Image Synthesis code (around two windows, Click on the left side of the window shows the municipality, the choice of operation, click on the right window we can see various synthesis operating results))

基于rtklib计算加入北斗的单点定位及差分定位(single PP and DGNSS using BEIDOU based on RTKLIB)

漂亮的图标程序源代码(beautiful icon source code)

用于各种特征提取主成分分析法，如表情提取，人脸提取，识别分类等(For a variety of features to extract the principal component analysis (pca)，Such as expression extraction, face extraction, identification classification, etc)

针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.(View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach.)

取阈值常用的方法有：双峰法、迭代法、大津法（OTS(threshold for commonly used methods : bimodal, iteration, Tianjin (OTS. )

程序进行了两张图片的简单合并，适合对控件的使用进行学习(Procedures carried out two simple merger picture, suitable for the control of the use of learning)

说明：  平台基于visual studio2015，使用opencv函数实现高斯滤波，进行图像处理(gaussian blur based on opencv)

平台基于visual studio2015，使用opencv函数实现高斯滤波，进行图像处理(gaussian blur based on opencv)

改进的有效边表算法，来自计算机图形学的简单代码(Improved active edge table algorithm, a simple code from the computer graphics)