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PIVlab是一个开源的粒子图像测速（PIV）软件。它不仅能够通过图像对计算出速度，而且能够得到、显示和导出多个参数的流动模式。通过一个友好的图形用户界面（GUI），使得的PIV技术分析和数据后处理更加快速、高效。(PIVlab is an open-source particle image velocimetry (PIV) software. It can not only calculate the speed through the image pairs, but also can get, display and export the flow patterns of multiple parameters. Through a friendly graphical user interface (GUI), the PIV technology analysis and data post-processing are faster and more efficient.)

MODIS图像批量镶嵌拼接方法（IDL/ENVI）(modis mosaic)

ICP是用来匹配两组未知点，可以用于图像处理等方面，速度快，但需要选择好初始参数(ICP is used to match two sets of unknown points can be used in areas such as image processing speed, but need to select a good initial parameters)

说明：  应用条件随机场进行图像分割 使用方法：将pydensecrf-py27或pydensecrf-py35重命名为pydensecrf，放入C:Program FilesAnaconda3Libsite-packages 运行：python inference.py im1.png anno1.png out.png(Renameing the file "pydensecrf-py27" or "pydensecrf-py35" to the new name "pydensecrf" Puting this file "pydensecrf" in this directory "C:Program FilesAnaconda3Libsite-packages" cd examples/ python inference.py im1.png anno1.png out.png)

该程序基于视频统计车流量。该算法通过识别出交通场景图像中复合车辆特征的像素，进行图像分割，并依据提取出来的特征来匹配前后两幅图像中的车辆，从而计算车流量。(The program is based on the video statistics vehicle traffic. The algorithm calculates the traffic volume by recognizing the pixels of the composite vehicle feature in the traffic scene image, segmenting the image, and matching the vehicles in the two images according to the extracted features.)

说明：  小波去噪 matlab小波去噪详解超全超全有程序,小波去噪，硬阈值软阈值(Wavelet denoising Matlab wavelet de-noising details super full super full program, wavelet de-noising, hard threshold soft threshold)

图像处理中的图像分割grabcut算法，经试验可以达到很高的精确度，比较难，值得研究(Image Processing Image Segmentation grabcut algorithm, the test may be achieving a high degree of accuracy, more difficult, is worth studying)

说明：  运动模糊图像通过四种方法维纳滤波、约束最小二乘法、lucy、盲目卷积图像复原(Motion-blurred image through the four methods of Wiener filter, constrained least squares method, lucy, blind deconvolution image restoration)

说明：  一篇介绍cs理论的文章，以及与图像处理结合的概述(conpressin sensor)

水平集图像分割代码，对应论文为Li C, Xu C, Gui C, et al. Level set evolution without re-initialization: a new variational formulation[C]//Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. IEEE, 2005, 1: 430-436.(Level set image segmentation code, the corresponding papers of Li C, Xu C, Gui C, et al Level set evolution without re-initialization:.. A new variational formulation [C]// Computer Vision and Pattern Recognition, 2005 CVPR 2005 IEEE. Computer Society Conference on IEEE, 2005, 1:. 430-436.)