zhang zhengyou的标定演示 解压后需在DOS下运行

图像格式转换的C源码，将rgb格式转变成yuv格式-Image of the C source code format conversion to rgb format into yuv format

用VB做的类photoshop,简单编辑还可以-VB class to do with photoshop, simple editing can also be

实现图像的中值滤波处理，从而实现对图像的处理-finish the process of median filtering

采用Tsai的 方法 用于实现摄像机标定-Using Tsai s camera calibration method has been applied to achieve

绘图库 1. 设计和实现一个图形函数库，具有绘制直线 段、任意圆弧、椭圆弧、多边形区域的阴影填 充和颜色填充等功能。（仅调用画点函数） Windows API: setpixel(hdc,x,y,color)-Drawing 1. Design and Implementation of a graphics library, with the straight-line drawing, arbitrary arc, elliptical arc, polygon area fill and color filled the shadow functions. (Just call paintings point function) Windows API: setpixel (hdc, x, y, color)

边缘检测在图象分割、模式识别、机器视觉等中都有重要作用，人们已研究出很多种边缘检测算法，而哈夫变换和canny边缘算子等是最经典的算法-Edge detection in image segmentation, pattern recognition, machine vision, etc. have an important role, it has now developed a variety of edge detection algorithm, and the Hough transform and the canny edge operator, such as the algorithm is the most classic

针对摄像机固定和共面约束条件下进行目标定位,提出了一种简单可行的全新算法。该算法避开了烦琐的摄像机标定这一过程,也不用精确地求解单应性矩阵。只是运用射影几何的性质,通过简单的几何关系,对非标定单摄像机拍摄的单幅图像,求解其从2D图像平面到真实的3D平面的非线性单映射关系。该算法为解决计算机视觉的测量、定位、三维重建等问题,提供一种全新的思路。 -against cameras fixed and coplanar binding conditions for target location, a simple new algorithm. The algorithm avoid the cumbersome process of the camera calibration, and it does not accurately be solved single matrix. Just use projective geometry of nature, by simple geometry, orders for non-standard video camera in a single image. Solving its two D images from two-dimensional to three real plane D nonlinear single map. The algorithm to solve the measurement of computer vision, positioning, three-dimensional reconstruction, with a brand new idea.

图像的增强 模板操作 中值滤波 梯度锐化 伪彩色编码-Template Smooth MidianFilter GradSharp ColorTable

对比度拉伸，对原始图像进行对比度拉伸，从而得到拉伸后的图像-tensile contrast, the original image contrast stretching, and thus drawing the images

MAD相似性度量准则的改进，实现模板匹配程序-MAD similarity measurement criteria to improve and achieve template matching procedures