基于空间几何约束的单目视觉物体测距 Geometric-constraints

说明：  基于radon正反变换的抛物线型多次波去除(Removal of parabolic multiple waves based on Radon transform)

基于上下文注意的显著区域检测，附件包括代码和英文文章。(Context-Aware Saliency Detection. The file includes the paper and the source code in matlab.)

工业摄影测量技术，利用matlab编写数字图像处理界面，包含相关手写算法，包括canny算子，LOG算子，canny滤波，高低通滤波，butterworth高低通滤波，数米粒，全方位图展开技术……(write a GUI of digital image processing with matlab，including canny operator，LOG operator，Lowpass and highpass filter，etc)

易语言图片按钮放大源码，易语言写的图形图像编程，很好的参考。(Easy language source code easy to picture button zoom, image language programming, a good reference.)

halcon与C#联合编程，控件功能 1,支持鼠标中键缩放和左键拖动 2,支持在图像缩放后,region,xld,roi能够复现 3,支持region,xld按照指定颜色显示,并在缩放后复现 4,支持矩形1,矩形2,圆,和直线roi的绘制 5,可以显示当前鼠标左键所在位置的图像灰度值 6,可以保存原图,或者截屏当前窗口(Halcon and C # joint programming)

说明：  BMED二维经验模态分解，用于处理二维信号(Two dimensional empirical mode decomposition)

是一个很好的图像拼接程序，先用sift算法提取两幅图片的特征点再用算法筛去错配点，把匹配点用线连接起来，注意：主函数是match.m，运行主函数后在命令框输入运行match( image1.jpg , image2.jpg )(Is a good image stitching program, the first two pictures with the sift algorithm feature extraction algorithm and then weed out the wrong point with point, the match point with a line linking Note: The main function is match.m, after running the main function Enter the run command box match (' image1.jpg' , ' image2.jpg' ))

说明：  自己编写的图像腐蚀与膨胀matlab代码，经试验证明与matlab中自带的腐蚀和膨胀函数运行效果相同，可供初学图像处理的同学参考使用。(The image corrosion and expansion matlab code written by myself has been proved to be the same as the corrosion and expansion function of the matlab. It can be used by students who are ready for beginner image processing.)

一种多尺度方向场修正的指纹图像处理新方法，对于低质指纹图像，能够很好的求取其方向场。(source code for fingerprint orientation calculation)

运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。(Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.)