资源列表
Aaform
- Aaform (Anti Aliased Image Transformation) is a technique I have developped for transforming a rectangular bitmap into any quadralateral (Including Convex/Complex quadralaterals). I believe that this is the optimal way to transform images that exists
Java2DExample
- Java2DExample.rar Java2D的例子-Java2DExample.rar swing examples
fgfg.c
- 好看的烟花 运行一下 很好看 不信试试 -nice fireworks operation this letter is not very good try
simpleimage
- 使用cimage输入输出的，大小转换，格式变换的代码-cimage use of the input and output, the size conversion, format conversion code
Picture
- VC作的拼图游戏，非常适合初学者参考对照练习．-VC for the picture arrangement game, very suitable for beginners reference to practice.
Bresenham
- 运用vc++6完成Bresenham算法的360度橡皮条算法还有中心画圆共享一下-use vc Bresenham algorithm completed six of the 360 degree rubber of the algorithm is in the central Sharing Circle what
VoronoiDAC
- 采用分治法解决生成Voronoi图的问题，采用用户交互式输入点及动态显示运行结果的方式，非常直观-using divide-and-conquer method to solve the Voronoi diagram generation. using interactive user input and dynamic display of the results of the operation, a very intuitive
MyDesign
- BMP图象的处理 包括读取 几何变换等-BMP image processing including reading geometric transformation
ImageToBuffer2D
- 这是我在刚刚学习VC图像处理时的一个小例子，功能将DIB数据导入到一个二维的Buffer，主要是练习了一下二维动态数组的定义、内存申请和释放，希望能够给初学的朋友带来一些帮助！-This is just learning the VC image processing of a small example, DIB will function to the data into a two-dimensional Buffer. is practicing a bit two-dimensiona
PicTest
- VC/MFC 常见的几种图像显示的方法: 1.使用CBitMap,在OnPaint 中绘制 2.用picturn控件绘制 3.用背景图 4.用KoDak控件(需要已经安装) -VC / MFC common image shows several ways : 1. CBitMap use. Drawing the OnPaint 2. Controls used picturn drawing three. use background Figure 4. charge
im_registr_MI
- 基于互信息的图像配准程序。用matlab编写的。有助于理解互信息。-based on mutual information of image registration procedures. Prepared using Matlab. Contribute to the mutual understanding of the information.
traslation-2006041016
- 将一幅给定的图像加噪后进行平滑滤波和中值滤波处理，比较两种处理的效果并与原图像比较之。并添加了锐化滤波处理。-to be an increase in the noise image after smoothing filter and the filter, compare the results with the original image comparison. And add a sharpening filter.