第二章 MATLAB 图形绘制基础 2.1 二维绘图 2.1.1 基本绘图函数 2.1.2 图形窗口的修饰 2.2 三维绘图 2....

对图片进行淡入淡出效果的渲染，通过改变图象中的Alpha通道来实现。-right picture Fade out of the exaggerated effect by changing the image of the Alpha channel to achieve.

OpenCV_cvcam Library

二值图像形态滤波和灰度图像形态滤波操作的Matlab实现。-Binary image morphological filter and grayscale images Matlab morphological filtering operations to achieve.

Visual C++MATLAB图像处理与识别实用案例精选之亮度增强的例子-Visual C MATLAB image processing and recognition practical case"s best examples of enhanced brightness

使用VC++处理图像，可以实现拉普拉斯边缘增强、中值滤波、灰度化、象素点反转-Use VC++ Deal with images, you can realize laplace edge enhancement, median filtering, gray, and pixel-point inversion

这个程序是vc图像处理程序，可以实现图像的识别等功能-This procedure is vc image processing procedures, can realize the image recognition and other functions

图象边缘检测代c码-Edge Detection of c-generation code

图像的边缘识别。由简至繁的实现了几种典型的图像边缘算法。-The image edge detection. From the simple to the realization of a typical fan of the image edge algorithm.

在计算机视觉中首先一步是计算每个摄像机的参数(外参和内参)，这是重建物体所必须的，这一个过程称为摄像机定标(camera calibration)。这是我自己写的一个简单的采用2维模板(模板是由黑白相间的格子组成，格子大小60cm×60cm)定标的程序，交互性比较好，每个角点通过鼠标点击自动获取。-Computer Vision in the first step is to calculate the parameters of each camera (outside the Senate and internal), which is necessary for the reconstruction of objects, which a process known as camera calibration (camera calibration). This is what I wrote it myself using a simple 2-D template (template is composed of black-and-white lattice, lattice size of 60cm × 60cm) calibration procedures, better interactivity, each corner through the automatic acquisition of mouse clicks.

基于Hough变换的火柴根数检测--Matlab7.0.4上开发-Based on the Hough Transform Detect root number of matches- Matlab7 .0.4 developed