c1700-ios

说明：  图形界面计算psnr和ssim，直接输入原始图像和处理后的图像的psnr和ssim值，分别在Y通道和RGB通道(The graphical interface calculates PSNR and ssim, and directly inputs the PSNR and SSIM values of the original image and the processed image in Y channel and RGB channel, respectively)

基于matlab编写的数字图像增强，包括直方图均衡化，高斯滤波。。。。(Digital image enhancement based on matlab, including histogram equalization, gaussian filtering...)

将经过二值化的车道线图利用hough变换提取车道线(After binarization the lane line graph using hough transform to extract lane)

正弦波加窄带高斯噪声，其联合概率分布服从瑞利。(Sine wave plus narrowband Gaussian noise, the joint probability distribution subject to Rayleigh.)

matlab函数，将多维矩阵的极值找出并定位，图像处理经常用到，很简单很好用(matlab function, multi-dimensional matrix to identify and locate the extreme, often used in image processing, it is very simple to use)

说明：  本程序是用来做图像编码的，主要采用的算术编码的思想(This procedure is used for image coding, the main idea used in arithmetic coding)

变化检测是从不同时期的遥感数据中定量分析和确定地表变化的特征与过程；遥感变化检测是一个确定和评价各种地表现象随时间发生变化的过程；遥感变化检测是遥感瞬时视场中地表特征随时间发生的变化引起两个时期影像像元光谱响应的变化(Change detection is the characteristic and process of quantitative analysis and determination of surface variation in remote sensing data different periods. Remote sensing change detection is a process of determining and uating various surface phenomena over time. Remote sensing change detection is the change of the surface feature over time in remote sensing instantaneous field.)

首先对指纹图像进行预处理，包括图像的分割，增强，二值化，细化。对细化后的图像进行特征点的提取，最后通过细节特征匹配完成指纹的识别。(Firstly, the fingerprint image is preprocessed, including image segmentation, enhancement, binarization and thinning. The refined image is extracted by feature points, and the fingerprint recognition is completed by minutiae feature matching.)

此程序利用openCV中人脸识别于模版匹配实现机器人的运动控制功能，其中机器人控制用了Aria的库和模拟器，使用者可根据控制需要替换这部分程序。 本程序的核心部分一直用于只能轮椅的人脸控制。(This process us face recognition in openCV and template matching to achieve robot motion control functions, which used the Aria library and robot simulator, user need replace this part of the control procedures to achieve their application.)

Image Steganograpy using Pixel-Value Differencing