GUI_Matting

在MATLAB平台下，可以实现散斑的生成。(The generation of speckle is realized under the MATLAB platform.)

用matlab实现光流法求物体的运动速度（根据相邻两帧之间的比较）(The optical flow method realized by matlab can be used to calculate the moving speed of objects.)

VC图象处理电子书，Chm格式，基本与位图相关的都作了说明，很不错(VC image processing e-books, Chm format, and basic bitmap were made related to the note, a very good)

Image to be embedded into an image

可直接计算得到多重分形谱,用于建立主成分分析模型，保证准确无误，是学习通信的好帮手。( It can be directly calculated multi-fractal spectrum, Principal component analysis model for establishing, Ensure accurate communication is learning a good helper.)

说明：  a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹： Texture_mosaic_data）中每一个像素提取纹理特征向量； b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向 量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类 属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder: Texture feature vector is extracted from every pixel in texture; B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction The number of categories can be determined according to the actual number of texture classes in the image. Last class The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)

本程序实现的是绘制一个单位立方体正平行投影图的程序，可以画出变换后的图形。运行环境为vc++6.0，内附有可执行文件以及所有源代码。(Implementation of this program is drawing a unit cube are parallel to the projection of the program, you can draw the transformed graph. Operating environment for vc++6.0 there is an executable file containing the source code and all.)

海思图像调节方法和工具，很基础同时也很重要。(This document instructs debugging personnel to adjust the picture quality and implement differentiated adjustment.)

实现热键截图的功能，把截到的图片保存到制定的文件夹中，然后把图片输出到报表中，形成报表！(Achieve hotkey screenshot function, the cut-off to save the picture to develop a folder, and then the picture output in the report, the formation of statements!)

提取并显示鼠标所在图像点的颜色，C++精选学习源码，很好的参考资料。(To extract and display the image color, select learning C++ source code, a good reference.)