RD

汽车识别，计数源代码 通过opencv色差提取，对移动的车辆进行识别 当已经识别的车辆通过定义直线时候，进行计数(Vehicle identification, counting opencv source code by extracting the color of a moving vehicle to identify when a vehicle has been identified by defining a straight line when counting)

《数字图像处理（第三版）》，中文版，作者是（美）冈萨雷斯，本书是数字图像处理经典著作。("Digital Image Processing (3rd Edition)", Chinese Edition, by Gonzalez, USA. This book is a classic work of digital image processing.)

检测图形中的直线，在程序中稍微改动，即可检测多条直线(Detection of graphics in a straight line, a slight change in the procedure, can detect more than a straight line)

计算机视觉文本介绍，包括研究背景、意义、以及应用(Text of computer vision, including research background, significance, and application)

BMP和JPEG数据格式的图片读取与写入操作，有完整的代码(BMP and JPEG data format images read and write operations, complete code)

说明：  modis一般是hdf数据，使用MRT（MODIS Reprojection Tool）工具可以将数据装换为.tif格式以及提取拼接(Modis is commonly HDF data, and the data can be reprojected to the.tif format and outprojection using the MRT (modis Reprojection Tool))

计算信噪比的测试程序代码，利用对比敏感度函数（CSF）测量失真图像的空间频率。(Calculation of the test code SNR, the contrast sensitivity function (CSF) measurement of the spatial frequency of image distortion.)

VisualC++数字图像处理技术详解第2版光盘-第三章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter 3)

本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得 % 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分 % 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子 % 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高 % 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input. % to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT. The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT % brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT) % frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.)

说明：  FMCW信号处理是通过python脚本实现的，可以总结为： FMCW IF信号预处理 范围-时间地图构造（RTM） 多普勒时间地图构造（DTM） 角度时间地图构造（ATM）(FMCW signal process was implemented by python script, which can be sum up as: FMCW IF signal pre-process Range-Time-Map construction (RTM) Doppler-Time-Map construction (DTM) Angle-Time-Map construction (ATM))