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基于matlab实现对 图像的亮度提取 以及对其亮度均匀性进行评估！(Matlab-based implementation of image brightness, as well as its extraction to assess the uniformity of brightness!)

线性反投影算法（Linear Back Projection，简称 LBP）又称累加法，是最早使用的一种简单（ECT图像重建）成像算法。它将通过某点的所有投影射线进行累加，再反向估算出该点的密度值。从成像观点分析，它是不完全的雷登逆变换（完整的雷登逆变换包括微分、希尔伯特变换、反投影和归一化等步骤）。(Linear back projection algorithm (Linear Back Projection, referred LBP), also known as cumulative method, is the first to use a simple (ECT image reconstruction) imaging algorithms. It accumulates all projection rays through a point, then reverse the estimated density value of the point. From the image point of view analysis, it is not exactly the inverse transform Leiden (Leyden complete inverse transformation involving differential Hilbert transform backprojection and normalization steps, etc.).)

说明：  机器学习专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技 能，为包括人脸识别领域的人工智能的发展做出了极大的贡献。本文探索如何应用机器学习中的一些技术，使计算机更好地完成人脸识别领域中的人脸检测和人脸验证。 在人脸检测方面，针对如何快速、准确地检出人脸的问题，基于DLIB中特征模型，可以快速提取检测出人脸，并且提取出人脸特征点,主要作用就是快速检测定位人脸。在训练过程中，引入了ResNet机器学习算法，该算法采用多层卷积神经网络结构，对人脸进行多层特征提取和描述，得到人脸特征描述符。通过测试可以证实了上述方法能够检测和识别人脸。(In terms of face detection, for the problem of how to detect faces quickly and accurately, based on the feature model in DLIB, you can quickly extract and detect faces, and extract face feature points, the main role is to quickly detect and locate faces. In the training process, the VGG-FACE machine learning algorithm is introduced. This algorithm uses a multi-layer convolutional neural network structure to perform multi-layer feature extraction and description on the face to obtain the face feature descriptor. Tests can confirm that the above method can detect and recognize human faces.)

双目摄像机标定程序，给出摄像机内外参数，并完成三维立体重建。(Binocular camera calibration procedures, given internal and external camera parameters, and complete the three-dimensional reconstruction.)

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).)

说明：  特效显示，交叉飞入等。。。来自VC++图像处理程序设计配套光盘(Effects show that such cross-fly. . . From the VC++ image processing program design supporting CD-ROM)

这是本人写的利用均值平移算法分割图像，同时包括分割后的图像合并(Mean-Shift algorithm for image segmentation)

运用图像处理，运用滤波，闭运算，腐蚀，膨胀进行一维码即条形码的识别(The use of image processing, the use of filtering, closed computing, corrosion, expansion of one-dimensional code, that is, bar code identification)

OpenGL高级编程与可视化系统开发（高级编程篇）的随书源码-4，学习OpenGL的好东西-OpenGL Programming and Advanced Visualization System (Advanced Programming Part 1) the source-4 with books, learning the good stuff OpenGL (OpenGL high-level programming and visualization systems development (high-level programming chapter)-4 of the source with the book, learning OpenGL good things-OpenGL Programming and Advanced Visualization System (Advanced Programming Part 1) the source-4 with books, learning the good stuff OpenGL)

在灰度图像中进行直线检测，带实验效果图像。利用快速Hough变换，能够正确查找线段端点。(In the gray image in a straight line detection, the experiment with the effect of the image. Using fast Hough transform, to correctly segment endpoint search.)