chaos_scrambling_gui

说明：  平台基于visual studio2015，使用opencv函数实现中值滤波，进行图像处理(median blur based on opencv)

基于光流的图像匹配程序，其中有经典的光流计算中的x,y,t的梯度函数，可以用其它主程序调用此函数(Optical flow-based image matching procedures, including the classic optical flow calculation of x, y, t of the gradient function, the main program can call this function in other)

说明：  利用石川啮合公式编写的程序，适用范围较广，好用，推荐(The program compiled by Ishikawa meshing formula is easy to use and recommended)

应用harris算子进行角点检测，然后利用相关性检测得到匹配焦点，然后进行图像的重采样，适于对于彩色图像的处理，对于灰度图像，只要将harris算子检测时的图像从彩色道灰度图像的语句去掉即可(Application of operator harris corner detection, and then make use of relevant test match to be the focus, and then carried out resampling images, suitable for color image processing, for gray-scale images, as long as the operator will harris Detect when the image from color Road gray-scale images can be removed from the statement)

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)

索书号文字图像分割 粘连字符切分 文字识别 彩色车牌分割 商标文字分割 文字识别的识别子函数 文字识别的结构特征提取子函数 (Call Number text image segmentation adhesion character segmentation of license plate character recognition color segmentation segmentation trademark character recognition text recognition Functions character recognition feature extraction structure Functions)

c++实现的sift，可以分步观看实现效果(c++ implementation of the sift, you can watch step by step to achieve results)

基于SUFT的特征提取与匹配，内涵详细的文档说明，很好的实现了特征提取与匹配，该方法较基本的SIFT有很大的提高(Extraction and matching of features based on SUFT, detailed content of the documentation, very good realization of the feature extraction and matching, SIFT the method is basic is greatly improved)

说明：  图像分割程序，可以分割红外车辆目标、人物等目标和图像。(Image segmentation program, you can split infrared target vehicles, characters and other objectives and image.)

利用马尔可夫随机场进行图像分割，可以直接运行，可以设定分割类数(segmentation based on MRF)