ColorPickDemo

超分辨率源代码，用它可以实现超分辨率，提高影像的分辨率，可以使一使(super-resolution source code, using it to achieve super-resolution and improve image resolution, can make a)

输入整数n，显示出具有n行的杨辉三角形。一个具有10行的杨辉三角形运行结果(Enter an integer n, with n rows show the Triangle. Triangle with the results of a 10 line)

读取显示BMP图像(read BMP images show)

单像素相机是基于压缩传感理论实现的，是数码相机发展的另一个革命性的方向，包括了所有单像素前沿的文献(Single-pixel camera is based on compressed sensing theory to achieve, is another revolutionary development direction of digital cameras, including the literature of all single-pixel frontier)

序列匹配c++实现，可以帮助理解序列匹配算法(Sequence matching c++ implementation can help to understand the sequence matching algorithm)

基于mfc的车辆检测程序，利用帧间的变化来检测，适合初学图像的同学学习(Mfc-based vehicle detection program to detect changes in the use of frames, suitable for beginners to learn the image of the students)

检测图形中的直线，在程序中稍微改动，即可检测多条直线(Detection of graphics in a straight line, a slight change in the procedure, can detect more than a straight line)

数字图象处理算法的演示，包括：图象的DFT和逆DFT，图象的FFT和逆FFT，在图象中加入正弦噪声，图象的模板运算实现图象平滑和锐化等等。(digital image processing algorithms demo, including : Image DFT and inverse DFT, FFT image and inverse FFT, in the image by adding sinusoidal noise, the template image Operational Image sharpening and smoothing and so on.)

该程序功能是实现对道路流动车辆统计。小模块功能有以下几个：1，对视频解帧并显示。2，对该视频训练背景图片。 3，利用背景图片用减背景法对测试视频进行前景提取，并进行阈值处理，图像分割，找出流动车的连通域。 4，对车辆进行统计。程序包内含有界面说明，以及程序使用的步骤和相关注意事项(The program function is to achieve movement of vehicles on the road statistics. A small module function has the following: 1 solution for video frames and displayed. 2, the video training background image. 3, using the background image used by the background method of testing the prospects for video extraction, and conduct threshold processing, image segmentation, to identify mobile car-connected domain. 4, vehicle statistics. Interface package contains instructions and procedures related to the use of the steps and considerations)

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.)