GoogleEarthEngine

说明：  简单的数字图像处理程序，实现灰度化，二值化，边缘检测等(Simple digital image processing program, graying, binarization, edge detection, etc....)

说明：  主要用于遥感图像道路信息提取，能得到很好的效果。(It is mainly used to extract road information from remote sensing images and can get good results.)

实现图像配准和计算配准均方根误差的功能，人工选取控制点，包括四种转换方法。(Achieve image registration and registration RMSE calculation function, manual selection control points, including four kinds of conversion methods.)

对张正友标定得程序重新详细标注了中文注释，方便初学者尽快入门，在最短的时间内了解程序流程，提高学习效率！(Zhang Zhengyou matlab calibration procedures, in order to facilitate a beginner, a code re-done every detail marked Chinese comments, so that we can understand the flow of the program as soon as possible!)

数字图像处理源码,包含数字图像处理的诸如边缘检测等多个功能程序(C++)(Source digital image processing, including digital image processing such as edge detection and many other functional procedures (C++))

几种全参考图像质量评价标准，例如VIF、IFC、VSNR、PSNR、MSE等。(Several full reference image quality assessment standard, such as 2 VIF is based, the IFC, VSNR, PSNR, MSE and so on. )

利用形态学，霍夫（Hough）变换，实现畸变QR码的4个角点的定位。(To correct the distortion of the QR code,use morphology operation, Hough transform, to locat the positioning of the four corner points)

弹流油膜数值计算画等高图，难以得到预想马蹄形特征，通过代码处理，可以方便的解决问题，得到满意的预想图(EHL film numerical draw contour map, it is difficult to obtain desired characteristic horseshoe, processing through the code, you can easily solve the problem, get a satisfactory RENDERING)

基于bp神经网络的车牌字符识别源程序，采用字符比对的方式进行切割(The structures of the neural networks were designed using a constructive algorithm where the basic idea was to start with a small network,then add hidden units and weights incrementally until a satisfactory solution be found .The higher efficiencies were for a 30×17×10 number network and letter network)

softcast的2d dct实现，先对图像转灰度图，得到的亮度信号矩阵做DCT 变换(softcast of 2d dct implementation, the first image to grayscale, luminance signal obtained by DCT transformation matrix do)