Panoramic-image-mosaic

视频水印matlab源码，此为第四个压缩包，在水印领域的爱好者可以下载作为参考(Video Watermarking Matlab source, which is the fourth-compressed, Watermark in the field of lovers can download as a reference)

Graph Cutshi是最近在计算机视觉中研究和应用比较多的优化算法，典型的用于stereo matching, image restortion, texture synthesis等应用，以上代码给出了graph cut，mean shift, 以及相关的ppm/pgm图像借口，本来是用于stereo matching的，已经把相关的matching的实现代码给去掉了。大家可以以此为平台做一些相关的研究和应用。 (Graph Cutshi recently in computer vision research and application of a relatively large number of optimization algorithms, typical for the stereo matching, image restortion, texture synthesis applications, the above code gives the graph cut, mean shift, and the associated ppm/pgm images an excuse, it is used for stereo matching, and has been related to matching the code to realize removed. U.S. can also be used as a platform to do some related research and applications.)

该算法实现了通过霍夫变换提取直线和圆，希望对大家有帮助(This algorithm can extract line and circle through hough conversion.)

一份retinex算法的code，其中利用pca 做 色度分解，利用改进的bilateral滤波器进行低频和高频分解(Retinex algorithm in a code, which made use of PCA colority decomposition, the use of improved bilateral filter for low frequency and high-frequency decomposition)

基于最大熵的图像分割阈值处理程序（单阈值）(Based on Maximum Entropy Image Segmentation threshold process (single-threshold))

用于计算均匀圆球的mie散射，matlab 程序，可计算散射系数，消光截面等(It is used to calculate the Mie scattering of uniform spheres. The matlab program can calculate the scattering coefficient and extinction section.)

混合输入输出相位恢复算法的小程序，入门学习(HIO phase recovery algorithm small program, learning portal)

halcon编程的很好的资料《如何使用halcon编程》，里面有三个pdf，很好的资料(Halcon programming very good information "How to use halcon programming", there are three pdf, very good information)

基于加权最小二乘最优化框架的滤波器。可用于实现图像的分层编辑。(Weighted least square)

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.)