实现了Delaunay三角网的生长算法。在VC++6.0环境下编译

边沿检测与提取，轮廓跟踪 命令行编译过程如下 vcvars32 rc bmp.rc cl edge.c bmp.res user32.lib gdi32.lib-Edge detection and extraction, contour tracing the course of the following command-line compiler vcvars32rc bmp.rccl edge.c bmp.res user32.lib gdi32.lib

多种图像边缘检测与分割处理 是M文件 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-A variety of image edge detection and segmentation is the deal with M files 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 thresholding image segmentation 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

基于POISSION图像编辑，即图像克隆技术，利用MFC与CXIMAGE编写-POISSION based image editing, that is, image cloning technology, using MFC and the preparation of CXIMAGE

这是关于数字图象处理方面比较全的一个例子，大家有需要的可以直接copy其中的代码-This is on the digital image processing of a whole compared example, We need to be direct copy of the code

此程序段是用于对比度调整的MATLAB算法。-incontrast

主要实现在灰度图像上处理图像的灰度值，包括灰度线性变换等操作。如果是彩色图像则首先灰度化，在进行操作。-main achievement of the gray image processing images on the gray values, including gray linear transformation operation. If it is the first color image is gray, the operation is in progress.

详细的小波变换的源代码，用VC++编写的。可以实现多种小波基函数下的离散小波变换。具有相当高的参考价值！-detailed wavelet transform source code, prepared by the VC. Could achieve multiple wavelet function under the discrete wavelet transform. Have very high reference value.

二维图像特效合集源码-2D source image effects Collection

图像增强的C++源程序，效果非常好，彩图ok-Image enhancement of the C++ source code, the effect is very good, Wallpapers ok

影像分类精度评价算法――混淆矩阵，评价漏分和错分情况-Image Classification Accuracy Assessment Algorithm- confusion matrix, evaluation of leakage points and the wrong sub-situation