用C＋＋编写的一个数字图象处理平台，头文件 包含变量声明和函数声明...

labview图形显示程序，飞思卡尔智能车的上位机程序，用于数字摄像头的可视化-LabVIEW graphical display procedures, Freescale smart car PC program for digital camera Visualization

图像处理源代码,包括所有的图像处理源代码-imageprocessing

基于VC开发环境，在图像处理中用于边缘检测的Canny源码-VC development environment based on the image processing for the Canny edge detection FOSS

基于隐马尔可夫模型的人脸识别 需要opencv3.1版本才能使用-Based on Hidden Markov Model Face Recognition opencv3.1 versions need to use

显示图像的直方图，图像的点运算，如图像反色、图像的线性变换、灰度拉伸、阀值变换等。-Display image histogram, image point calculations, such as anti-color images, images of linear transformation, gray stretch, transform, such as threshold.

图象的处理基础，CDIB类完成它的反色红色和平移-Deal with the basis images, CDIB categories to complete its anti-color red and translational

对于VEGA PRIME在MFC框架下的使用，VP1.2版本。-VEGA PRIME for the MFC framework in use, VP1.2 version.

模拟足球场绘制，可逼真绘出3D造型，可旋转，改变视角等-Simulated soccer field map can be drawn realistic 3D modeling, can be rotated to change the perspective, etc.

水平集图像分割方法的一个经典DEMO，05年CVPR上的文章的实现程序，无偿呈现-Level set image segmentation methods of a classical DEMO, 05 years CVPR articles realization procedures, free show

本文提出了一种新的跨国家的障碍 检测技术为基础的立体视觉系统。 原始图像的预处理的高斯 过滤器和对比度限制的自适应直方图 均衡（ CLAHE ）方法来削弱作用 噪音，光线和对比度。哈里斯的角落位于与子像素精确。 -Cross-country intelligent vehicles always work in complicated environments with varying illuminations. The paper presents a new cross-country obstacle detection technology based on stereo vision system. The original images are preprocessed by Gaussian filter and contrast-limited adaptive histogram equalization (CLAHE) method to weaken the effect of noise, light and contrast. Harris corners are located with sub-pixel accurate. To guarantee the overall system real-time performance, feature-based matching techniques are studied and fundamental matrix is calculated based on random sample consensus (RANSAC). Also restrains are studied to eliminate pseudo matching pairs. Then data interpolation is introduced to build elevation maps. Edge extraction and morphological processing are concerned to accomplish obstacle detection. Experiment result