透视算法的例子

visual c++数字图象处理典型算法及实现-visual c++ typical digital image processing algorithm and realize

空域数字图像线性滤波器和频域非递归滤波器（包括：频域变换法、频域抽样法和窗函数法）的Matlab实现。-Airspace linear digital image filters and frequency-domain non-recursive filter (including: frequency-domain transformation method, frequency-domain sampling method and window function method) of the Matlab implementation.

< 数字图像处理》作者－姚敏中所有matlab源程序

在AdaBoost检测人脸的基础上，精确找到人脸中眼睛瞳孔中心的程序。-In AdaBoost Face Detection Based on the precision to find human faces in the eye pupil center procedures.

基于OpenCV和forbcb的人脸跟踪程序

bmp to jeg 文件，自己写的，和大家分享一下，希望会有帮助-bmp to jeg paper wrote it myself, and share with you, I hope will be helpful

用IDL编写的角点检测程序,其中的K值在程序里设定可以得到不同的效果并适应不同的图象-IDL写慕堑, 械K 诔 chemokine 缘 玫 同 效应 同 图

本代码是关于图像纹理识别方法，提供几何运算、正交运算、边缘轮廓、图像分析等功能，适合广大图像处理者使用-The code is on the image texture recognition method, providing geometric calculations, orthogonal computing, edge contour, image analysis and other functions, for the vast numbers of image processing to use

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

使用图像的互信息进行自动图像配准源代码，这个程序通过归一化后的图像互信息进行图像的自动配准。中间通过旋转等进行图像对齐。-The use of images for automatic mutual information image registration source code, the procedure adopted by the normalized mutual information image after image of the automatic registration. Through the rotation between image alignment.