使用log

此源码,对图像的自动阈值,与局部阈值是很有效果,希望对大家有所帮助-This source of images automatically threshold, and the local threshold is very effect, and they hope to help everyone

基于viual c++ 2005和OpenCV环境 TestOpenCV是一个应用OpenCV提供的函数进行图片显示和保存的应用程序，注意TestOpenCV需要OpenCV提供的库支持，因此请首先到相关网站上下载并安装OpenCV-Based on viual c++ 2005 and OpenCV is an application environment TestOpenCV provided OpenCV function picture display and preservation of the application, pay attention to the needs of TestOpenCV provided OpenCV library support, so please first of all to the relevant Web site to download and install the OpenCV

利用harris算法实现角点检测,进行图像配准-use harris to detect the corner

提出了一种基于感兴趣区域(ROI )的结构光条纹中心混合图像处理方法，为结构光视觉三维测量的实时应用奠定了基础-Proposed based on region of interest (ROI) of structured light strip center hybrid image processing method for the measurement of three-dimensional structured light vision laid the foundation for real-time applications

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

里面是各种图像处理的算法，包括边缘算法等-There is a variety of image processing algorithms, including algorithms such as edge

一款不错的烟花程序，带有声音和美术字，已调试通过-A good fireworks procedures, with voice and word art, have been debugging through

现在我们给定两幅ALV路标的捕捉图像，我们实际工作中首先要捕获路标（这里我们假定环境中已经有路标），而此时的景象是难以预知的：我们不知道路标在什么位置、是什么路标、除了路标还有那些图像模式？ 基本要求：使用本章学习的K－平均算法，以颜色分量（或几何性状）作为坐标参数，对景象图进行聚类分析，要求最后的分类结果将路标（可能包括少量相似区域）聚类为一个模式类别。试验报告同前面一样，要求给出样本模式点，绘制坐标图（标出各个聚类中心的迭代移动轨迹） ，绘制算法框图，给出结论。并检查上机结果。 -err

新型位图、图像处理常用程序、视频采集，适用于VC++、C++Builder与C环境-Image Processing for VC++,C++Builder and C

利用vc++对动态目标进行检测，也可配合摄像头使用-Using vc++ for dynamic detection of targets can also be used with the camera