scanning

闻婷实验板的四通道视频采集实验，通过键盘控制四个通到采集图像，将采集的图像在同一台显示器上显示(Wen Ting experimental four-channel video capture board experiments, four-pass to collecting image, the collected image displayed on the same monitor keyboard control)

随着生产和工艺的进步，人们对产品的质量要求越来越高，基于机器视觉的在线 检测系统成为一种重要的质量控制手段。本文对应用于宽幅面、高精度的基于分布式 机器视觉的产品表面缺陷在线检测理论与算法进行了研究，并在此基础上以印刷品和 浮法玻璃的缺陷检测为例，完成了模式产品和非模式产品的缺陷在线检测系统。(With the progress of production and technology, people are increasingly demanding high quality products, based on machine vision for online 检测 system into one kind of Zhong Yao quality Kongzhishouduan. This article applies to wide format, high-precision machine vision products based on distributed-line surface defect detection theory and algorithms are studied, and on this basis, and float glass in print defect detection, for example, completed a model of products and non-model product line defect detection system.)

给定原图像和降噪或者加了噪声之后的图像，计算峰值信噪比PSNR(calculate PSNR)

小波软阈值去噪的MATLAB代码,输入噪声均值就可得出含噪图像和去噪图像,同时得出峰值信噪比.(Wavelet soft-threshold denoising of MATLAB code, the mean input noise with noise will get the images and de-noising images, peak signal to noise ratio obtained at the same time.)

说明：  Halcon与C#联合编程（Halcon12）(Halcon and C# joint programming (Halcon 12))

SURF算法为SIFT算法的改进，运算速度得到了很大的提高。本资料为基于MATLAB的SURF算法实现，对图像匹配的研究方向会有一定帮助。(SURF algorithm SIFT algorithm, computing speed has been greatly improved. MATLAB based on the information of the SURF algorithm for image matching the direction of the research will certainly help.)

基于RETINEX理论的图像去雾，主要对幅图像处理，对大多数图像有用(Based on the theory of image RETINEX to fog, the main image processing, the image of the most useful for)

说明：  一个用于图像描述表示的脊波变换程序，值得参考。(Used to describe an image expressed by the ridge of wavelet transform process, a good reference.)

该源代码可以直接下载下来使用，而且是地地道道的对RGB图像进行分割，我已经测试通过了。(The source code can be directly downloaded to use, but also out-and-out on the RGB image partition, I have the test passed.)

能够用 matlab确定模最大值，利用小波变换去噪，对地震信号进行处理(The maximum modulus can be determined by MATLAB, and the seismic signal is processed by wavelet transform denoising.)