exp1

利用小波变换的去噪程序！和中值滤波进行对比！(The use of wavelet transform denoising procedure! And median filtering comparison!)

基于仿射变换的图像匹配程序，这是基于mablab的一个主程序(Affine transformation based on the image matching process, which is based on a main mablab)

DELPHI编写灰度直方图显示，DELPHI编写灰度直方图显示(DELPHI Writing gray histogram display, DELPHI written grayscale histogram display)

这是冈萨雷斯版数字图像处理中的几个函数的实现，包括gmean,以及书中的例题5.7和5.10。(This is the realization Gonzalez version Several digital image processing functions, including gmean, and examples in the book of 5.7 and 5.10.)

sift特征提取，提取dense-sift特征，快速，易懂，很不错的(sift feature extraction, extraction dense-SIFT features, fast, easy to understand, very good)

基于模糊对比度的图像增强方法，大致过程仍然是先把图像从空间域映射到模糊域，在模糊域内通过定义一个局部对比度算子，然后通过对凸函数的加强来放大像素邻域的各像素之间的差异。 (Based on the fuzzy contrast image enhancement method, the general process is still the first images from space domain is mapped to the fuzzy field in fuzzy field through the define a local contrast operator, and then the convex function to enlarge the strengthening of pixels each neighborhood pixel differences. )

说明：  基于Matlab的系列图像处理和显示结果程序，采用主成分分析算法，假定载入系列图像数据后可直接运行得到结果。(Matlab based on a series of image processing and display the results of the procedure, using principal component analysis algorithm, it is assumed that loading series of image data can be directly after the operation results.)

图像平移处理，可以图片进行平移变换处理，提供演示图片(Image translation process, it can image pan transformation process provides demonstration image)

读取avi视频，并进行帧间差分法运算，检测运动目标(Read the avi video, and make inter-frame difference method for computing, moving target detection)

建立一个透明物体上有污点的模型，可以模拟玻璃上有污点的图象(Rendering of clean transparent objects has been well studied in computer graphics. However, real-world transparent objects are seldom clean—their surfaces have a variety of contaminants such as dust, dirt, and lipids. These contaminants produce a number of complex volumetric scattering effects that must be taken into account when creating photorealistic renderings. In this paper, we take a step toward modeling and rendering these effects. We make the assumption that the contaminant is an optically thin layer and construct an analytic model following results in radiative transport theory and computer graphics. Moreover, the spatial textures created by the different types of contamination are also important in achieving visual realism. To this end, we measure the spatially varying thicknesses and the scattering parameters of a number of glass panes with various types of dust, dirt, and lipids. We also develop a simple interactive synthesis tool to create novel instances of the me)