five

PIVlab - Time-Resolved Digital Particle Image Velocimetry Tool for MATLAB

收藏
Figshare2022-02-02 更新2026-04-08 收录
下载链接:
https://figshare.com/articles/dataset/PIVlab_version_1_35/1092508/13
下载链接
链接失效反馈
官方服务:
资源简介:
PIVlab is a time-resolved particle image velocimetry (PIV) software that does not only calculate the velocity distribution within particle image pairs, but can also be used to derive, display and export multiple parameters of the flow pattern. A user-friendly graphical user interface (GUI) makes PIV analyses and data post-processing fast and efficient.<br><br>Video about the tool:<br>https://www.youtube.com/watch?v=Sp3Ounq07Qc<br>Example analyses &amp; videos can be found on the PIVlab website:<br>http://PIVlab.blogspot.com <strong>Please ask your questions in the PIVlab forum: </strong><br><strong>http://pivlab.blogspot.de/p/forum.html</strong> Peer reviewed paper on PIVlab: <strong>Thielicke, W and Stamhuis, E.J. 2014</strong>. PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB. <em>Journal of Open Research Software 2(1):e30,</em> DOI: http://dx.doi.org/10.5334/jors.bl Main features:<br>* completely GUI based PIV tool<br>* multi-pass, multi grid window deformation technique<br>* import bmp/ tiff/ jpeg image pairs/ series<br>* image sequencing styles A-B, C-D, ... or A-B, B-C, ...<br>* individual image masking and region of interest (ROI) selection<br>* image pre-processing (contrast enhancement, highpass, intensity capping)<br>* two different sub-pixel estimators<br>* multiple vector validation methods<br>* magnitude/ vorticity/ divergence/ shear / ...<br>* data smoothing, vector field highpass<br>* multiple colormaps<br>* streamlines<br>* extensive data extraction tools/ integration via poly lines/ circles/ area<br>* statistics (histograms, scatterplot, mean &amp; stdev)<br>* precise particle image pair generation with user-defined parameters and several flow simulations (synthetic PIV image generator)<br>* data export (matlab, ascii, movie file, image, Paraview, ...)<br>* main features accessible via comand line scripting
提供机构:
Thielicke, William; J. Stamhuis, Eize
创建时间:
2019-09-06
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作