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A library for PIV Uncertainty Quantification

Project description

PIV-UQ: PIV Uncertainty Quantification

Note: Primary aim is to implement UQ algorithms for PIV techniques. Future goals include possible extensions to other domains including but not limited to optical flow and BOS.

Description

This package contains python implementations of uncertainty quantification (UQ) for Particle Image Velocimetry (PIV). Implements:

  1. Python implementation of: Sciacchitano, A., Wieneke, B., & Scarano, F. (2013). PIV uncertainty quantification by image matching. Measurement Science and Technology, 24 (4). https://doi.org/10.1088/0957-0233/24/4/045302. [piv.de]
  2. Iterative Lucas-Kanade based disparity estimation. [scikit-image]

Installation

Install using pip

pip install .

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