crawls remote ip cam images, and then it shows that can be directly set up ip ad...

获取位图的大小代码-Source code used to get the size of the bmp image.

这是一个图片在线展示及查看统计系统，功能很不错， 供大家学习参考-This is a display of photographs and viewing online statistical system, functions quite well, and for them to learn from reference

图形开发应用软件-graphics software development and application

alpha的演示，告诉大家如何用alpha-alpha demo to tell you how to use alpha

微软的新的.NET平台为开发者带来了许多新的诸如GDI+、Globalization之类的编程机制，同时还发明了一门全新的类似Java的编程语言－C＋＋。对于这些新知识，我们应尽快了解、掌握并试图运用到实践项目中去，而通过实例学习的方法无疑是一个非常有效的途径。本文就通过一个简单的实例，向大家展示了在Visual C#中如何运用GDI+和Unsafe代码类等技术以实现简单的数字图像处理。 -Microsoft"s new.NET platform for developers to bring as many new GDI, Globalization like programming mechanism, and also invented a new Java-like programming language-C++. These new knowledge, we should understand, grasp and tried to apply it in practice projects, and through the example of learning is a very effective way. This paper through a simple example to illustrate the Visual C# and how to use GDI Unsafe code for such technology to achieve simple digital image processing.

使用说明 使用时打开此例题目录下pic中的图片，然后依次单击按钮“转”、“1”、“2”、“3”、“4”和“5”，就可以实现精确的车牌定位。 具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。 初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。 该阈值对不同牌照有一定的适应性,能够保证背景基本被置为0,以突出牌照区域。 4.削弱背景干扰。对图像B做简单的相邻像素灰度值相减,得到新的图像G,即Gi,j=|Pi,j-Pi,j-1|i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左边缘直接赋值,不会影响整体效果。 5.用自定义模板进行中值滤波 区域灰度基本被赋值为0。考虑到文字是由许多短竖线组成,而背景噪声有一大部分是孤立噪声,用模板(1,1,1,1,1)T对G进行中值滤波,能够得到除掉了大部分干扰的图像C。 6.牌照搜索:利用水平投影法检测车牌水平位置,利用垂直投影法检测车牌垂直位置。 7.区域裁剪,截取车牌图像。-my english is poor

基于颜色直方图的方法以上是具体实现设想，程序实现如下-Color histogram-based method is more than the specific implementation is envisaged that implementation procedures are as follows

旋转变换的VC程序，请审阅-rotation transform the VC procedures, please review

一个用matlab做二维小波变换的源程序 -Matlab do with a wavelet transform two-dimensional source

用vc实现图像选块的拖拽和融合,通过对窗口的拖动实现图像选块的拖拽.-with vc election Image block dragging and integration, right through the window Drive Image dragging the election block.