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求解L-1范数最小,利用线性规划算法，实现压缩感知的功能(min L-1 norm)

说明：  破解halcon17.12的dll x86,x64文件(Cracking DLL x86, x64 files of Halcon 17.12)

函数visreg能够自动处理两幅对准图像的大小以及像素等细节问题，从而半透明地在另一幅图像上显示一幅图像。(Function visreg can automatically deal with the size of two aligned images and details such as pixels, thus displaying an image in another image in a semitransparent way.)

应用投影算法对TV模型快速求解，并将算法应用到图像去噪中(The projection algorithm is used to solve the TV model quickly, and the algorithm is applied to image denoising)

图形学中的透视投影算法 在屏幕中心绘制立方体的透视投影 可以绘制一点透视图 二点透视图 三点透视图(Graphics in the perspective projection algorithm for drawing a cube in the center of the screen you can draw a little perspective projection perspective two point perspective three-point perspective)

usps数据库为标准手写数据库，此为mat数据文件，含训练集和测试(USPS database is a standard handwritten database, which is a mat data file, including training set and test)

检具设计工具 运行于ug3d设计软件环境。支持2.0以上。有些版菜单本会出现乱码(The tool design tool runs in the ug3d design software environment. Support more than 2. Some of the versions of the menu would have been messed up)

使用中值，均值，小波，DCT，PCA五种方法实现对图像的去噪处理。(Five methods, median, mean, wavelet, DCT and PCA, are used to denoise the image.)

针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题，提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘，得到粗边缘图像；然后通过SURF算法提取两幅边缘图像的特征点，根据正确的匹配点对之间斜率一致性的先验知识，进行特征点匹配；最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明，该方法有效提高了匹配点对的正确率，能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based on slope consistency is proposed to solve the problem that the uniform features of infrared and visible images are difficult to extract and match. Firstly, the edges of infrared and visible images were extracted by mathematical morphology, and the rough edge images were obtained. Then, the feature points of two edge images were extracted by SURF algorithm, and the priori knowledge of slope consistency was obtained according to the correct matching point, and the feature points were matched. Finally, the model parameters of affine transformation are obtained by least square method and the registration of two images is realized. The experimental results show that this method can effectively improve the accuracy of matching points, and can realize high precision registration of infrared and visible images of electrical equipment.)

本书是国内第一本全面介绍OpenCV的中文版图书，本书可作为信息、图像处理和模式识别等领域的高年级本科生、研究生使用，也可作为研发人员的参考手册。(This book is the first comprehensive introduction to OpenCV s Chinese version of the book, this book can be used as information, image processing and pattern recognition in areas such as advanced undergraduates, graduate students, but also as a reference manual for researchers.)