matlab做的标定程序，包括角点检测与张正友标定算法做的，有界面...

我自己做的图像量化程序，还不太成熟。可以将指定图像颜色数减少，并用符号表示每个颜色。-To do my own image quantification procedures, is also not mature enough. Can reduce the number of designated color images, and symbols that represent each color.

以VC++开发环境为主，在一幅图像上画十字星，直方图等-To VC++ development environment, which draw on an image cross-Star, histogram, etc.

HOUGHTRANSFORM uses Hough transform for line detection. (very fast and easy solution).

实现了球面全景图转为立方体全景图的功能，将一个球面全景图转为是6个立方体图。-Achieved a spherical panorama panorama function of the cube to be a spherical panoramas into a six cube map.

基于图像直方图均衡化的公式来编程。像素一共分为256个灰度阶，每个灰度阶用数组的一个相应nk[？]来储存它的个数，然后计算tk[？]。-Based on image histogram equalization formula programming. Pixel is divided into a total of 256 gray-scale bands, each of the gray band with a corresponding array nk [? ] To store the number of it, and then calculating tk [? ].

程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例――从PCB图像中删除所有电流线，仅保留芯片对象-Procedure Code Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line threshold Image segmentation method P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: morphological examples- from PCB image delete all current lines, retaining only the target chip

学习opencv+directshow的文档-opencv+directshow

vc6.0下，检测图像形状的轮廓的面积和周长，图像格式必须为BMP格式。-vc6.0, the detection of the contour shape image of the area and perimeter, BMP image format must be the format.

图像处理中滤波时，运用极值滤波的方法滤除杂波，得到清晰的图像-Image processing filter, the use of extreme methods of filtering to filter out the clutter, get a clear image

图像处理小程序，打开bmp格式文件，进行阈值分割-Image processing applet, open the bmp file format, the threshold segmentation