Phase_Unwrapping_2D

读取图像，转化为二值，去除毛刺噪点像素，去除孤立的前景像素，膨胀，对颗粒进行计数(particle count，)

meanshift算法的python实现 + 图像化显示(meanshift with python)

使用PCL库进行点云投影，朱德海《点云库PCL学习教程》第二章示例代码(Example code for Lidar cloud data projection)

深度图提取，对双视点的图像进行深度信息的提取，以及三维立体中常用的一些程序。(Depth map extraction, the double viewpoint image depth information extraction, and three dimensional commonly used in some of the program. )

寻找照片PS痕迹的代码~大作业编写~可主要用于寻找添加图像块的PS边缘痕迹，(find the hint of a photo which has been PS)

对三帧差法进行改进后的多帧融合差分法，改变原有提取帧的方法(Improved multi-frame to fusion difference method, a change in the original extract frames of three poor law)

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. )

kalman是视频跟踪的几本算法，本算法就是一个kalman的很好的应用例子！(video tracking kalman several algorithms, this algorithm is an application of kalman good example!)

CT反投影重建的R-L滤波函数与S-L函数，应用对象为matlab自带shepp-logan模型图像(R-L function and S-L function applying to CT backproject reconstruction)

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)