FVC2004

这是我的图形学的作业，实现光线跟踪。也是学别人做的，仅供学习用。(this is a study work about computer graphics , realizing tracking )

说明：  通过定义全局变量 实现simulink与gui的实时数据互通 用以电网仿真(By defining global variables Real time data communication between Simulink and GUI For power grid simulation)

增强图像中的有用信息，它可以是一个失真的过程，其目的是要改善图像的视觉效果，针对给定图像的应用场合(Enhance the useful information in the image, it can be a process of distortion, its purpose is to improve image visual effect, for a given image)

实现image quilting算法进行纹理合成。(implement of Texture synthesis)

数字图像相关方法（DIC），其中DIC_FITC_sp是主程序，StepSearch是三步搜索法，CalculateC是计算相关系数的函数，SubpixelEstimation是曲面拟合法计算亚像素位移的函数( U6570 u5B57 u56E u502F3 u6L0 u6L0 u6L0 u6E0B u5R9 u6B0 U662F u8B1 u7B97 u7R0 u5133 u7F2 u7F2 u7F2 u7F2 u7F0 u7FB u7F0 U51FD u6570)

常规的中值滤波器，在噪声的密度不是很大的情况下效果不错。但是当概率出现的概率较高时，常规的中值滤波处理后，仍然具有噪声点，并丢失了细节和边缘，效果不是很好。 自适应中值滤波器可以尽可能的保护图像中细节信息，避免图像边缘的细化或者粗化。(The conventional median filter works well when the noise density is not very large. However, when the probability of probability is high, the conventional median filter still has noise points, and the details and edges are missing. The result is not very good. The adaptive median filter can protect details in the image as far as possible and avoid thinning or coarsening of the image edges.)

semi-supervised learning 半监督局部线性嵌入(semi-supervised learning )

一个简单的图像处理中粗糙度和方向度的MATLAB编程实现，已经通过调试，无误可用(A simple image processing in the direction of roughness and degree of MATLAB programming, has been through debugging, accurate available)

Visual C++数字图像处理技术与工程案例，各章节源代码，这是第一章的代码(The Visual C++ digital image processing technology and engineering cases, the source code of each chapter, this is the first chapter of the code)

本代码功能是将图像旋转任意角度，为进一步的图像处理做铺垫。(The code function is to rotate the image at any angle, laying the groundwork for further image processing.)