Development of Higher-Perthrmance Algorithms for Image Analysis of Time-Resolved PIV

时间分辨 PIV 图像分析的更高性能算法的开发

• 批准号: 17560709
• 负责人: NISHIO Shigeru
• 金额: $ 2.11万
• 依托单位: Kobe University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2005
• 资助国家: 日本
• 起止时间: 2005 至 2006
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-17560709/
• 关键词: PIV; Measurement; Visualization; High-Speed Camera; Time-Resolved; High-Performance; 高速度撮影; アルゴリズム開発; 速度場計測; 加速度

Higher-order analysis of time-resolved PIV was considered, and an innovative new algorithm for multi-frame images has been developed. Final target of the velocity measurement is the identification of instantaneous velocity field, and the pair image analysis was the ultimate choice of the video rate measurement. The latest digital image equipments have the possibility of far higher sampling frequency than flow fluctuation, and it supplies us more information than to obtain simple instantaneous velocity. The algorithm developed in this study enables us to utilize entire information of image correlation, and it gives us the higher-order time-derivatives and spatial-gradients of velocity field together with the velocity itself.In order to develop the higher-performance algorithms for Ply image analysis, the following research works have been done. Present development of new algorithm opens the gate for next generation of PIV measurement with the upcoming higher-performance digital image equipments.1. The mathematical basis of PIV image analysis was reviewed and examined to establish the new concept of multi-frame image analysis. The image analysis based on the correlation information was considered, and several ideas for the higher-order analysis were proposed.2. Two algorithms for the higher-order analysis of multi-frame PIV image were developed. The measurement performances and the improvement of accuracy were verified by means of bench mark test using VSJ standard images.

考虑了时间分辨粒子图像测速的高阶分析，并开发了一种创新的多帧图像新算法。速度测量的最终目标是瞬时速度场的识别，对图像分析是视频测速的最终选择。最新的数字图像设备有可能实现远高于流量脉动的采样频率，为我们提供了比简单的瞬时速度更丰富的信息。本文提出的算法能够利用图像相关的全部信息，在给出速度场的同时，还给出了速度场的高阶时间导数和空间梯度。为了开发更高性能的Ply图像分析算法，本文做了以下研究工作。目前新算法的发展为下一代PIV测量打开了大门，即将推出更高性能的数字图像设备。回顾和研究了PIV图像分析的数学基础，建立了多帧图像分析的新概念。对基于相关信息的图像分析进行了研究，提出了高阶分析的思路.提出了两种多帧PIV图像高阶分析算法。通过VSJ标准图像的基准测试，验证了测量性能和精度的提高。

项目成果

Higher-Order Analysis of Correlation Maps in PIV Image Analysis (Consideration to the influence of particle pattern deformation)

PIV图像分析中相关图的高阶分析（考虑粒子图案变形的影响）

• 发表时间: 2005
• 期刊: journal of the Visualization Society of Japan 25-Suppl.2
• 作者: Sumito Nishio;Masahiko Sakai;Kazuo Tsuchiya;Shigeji Tsukahara;桐本 兼輔;K.Kirimoto;K.KIRIMOTO;K.KIRIMOTO;桐本 兼輔;西尾 茂;S.NISHIO
• 通讯作者: S.NISHIO

Development of Higher-Order Analysis for Multi-Frame Time-Resolved PIV

多帧时间分辨 PIV 高阶分析的发展

• 发表时间: 2006
• 期刊: Proc. of the 12th International Symposium on Flow Visualization
• 作者: Sumito Nishio;Masahiko Sakai;Kazuo Tsuchiya;Shigeji Tsukahara;桐本 兼輔;K.Kirimoto
• 通讯作者: K.Kirimoto

画像相関情報に基づいた多時刻高次解析に関する研究

基于图像相关信息的多时相高阶分析研究

• 发表时间: 2006
• 期刊: 可視化情報学会誌 Vol.26 Suppl. No.2
• 作者: Sumito Nishio;Masahiko Sakai;Kazuo Tsuchiya;Shigeji Tsukahara;桐本 兼輔
• 通讯作者: 桐本 兼輔

A Study on Multi-Frame Higher-Order Analysis Based on Spatio-Temporal Correlation Information'

基于时空相关信息的多帧高阶分析研究

• 发表时间: 2006
• 期刊: Journal of the Visualization Society of Japan 26-Suppl.2
• 作者: Sumito Nishio;Masahiko Sakai;Kazuo Tsuchiya;Shigeji Tsukahara;桐本 兼輔;K.Kirimoto;K.KIRIMOTO
• 通讯作者: K.KIRIMOTO

PIV計測における相関分布の高次解析-粒子パターン変形が及ぼす影響について-

PIV测量中相关分布的高阶分析-关于粒子图案变形的影响-

• 发表时间: 2005
• 期刊: 可視化情報学会誌 Vol.25 Suppl. No.2
• 作者: Sumito Nishio;Masahiko Sakai;Kazuo Tsuchiya;Shigeji Tsukahara;桐本 兼輔;K.Kirimoto;K.KIRIMOTO;K.KIRIMOTO;桐本 兼輔;西尾 茂
• 通讯作者: 西尾 茂