colortest

说明：  对灰阶图像进行大气湍流滤波，使图像达到需要达到的效果(The atmospheric turbulence filtering is applied to the gray scale image to achieve the desired effect)

说明：  lowe论文的sift算法的MATLAB源代码(MATLAB source code of sift algorithm for lowe paper)

这是一些关于特征配准和融合的一些文章，对做这一方面的应该有所借鉴(which is a characteristic of fusion and registration of some articles, so in this respect there should be some reference)

一系列处理图片算法，简单的图片放大，打开时请打开project902.dsw，直接编译请重新下载(A series of image processing algorithms, simple image enlargement)

说明：  超像素实现图像分割，可以实现彩色图像分割(An EM algorithm is used for image segmentation.)

数字水印技术攻击试验，实现噪声、滤波、剪切、压缩、旋转攻击(Digital Watermarking attack test, realize noise, filtering, shear, compression, rotation attack)

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.)

基于采集的脑电导联信号，用matlab去噪和伪迹，最后绘制脑地形图。 去噪文件夹： FastICA_25文件夹为 fastICA函数；pca为pca 函数； av_sub伪迹减法去噪； ica_step1，ica_step2&pca 为ica与pca的去噪程序； wave_entro为小波熵的计算程序； topoplot为地形图函数； topo为画地形图程序；eloc32,eloc16为函数调用32导/16导的头皮电极分布位置 get_txt将采集的脑电数据转化为文本格式； readdata为依次读取文件夹中的一系列txt文件。(Based on the collection of brain conductivity signal, denoising using matlab, and pseudo-tracks, the final topographic map of brain mapping. Denoising folder: FastICA_25 folder function for FastICA pca function for PCA av_sub pseudo-trace subtraction de-noising ica_step1, ica_step2 )

基于mmdetection框架的深度学习目标检测框架(deep learning object detection based on mmdetection)

说明：  基于SegNet实现了车道线的识别。里面包含已经训练好的模型。(Lane line recognition based on SegNet contains the trained model.)