Analysis and Visualization of the Two-Dimensional Blood Flow Velocity Field from Videos

Analysis and Visualization of the Two-Dimensional Blood Flow Velocity Field from Videos

We estimate the velocity field of the blood flow in a human face from videos. Our approach first performs spatial preprocessing to improve the signal-to-noise ratio (SNR) and the computational efficiency. The discrete Fourier transform (DFT) and a temporal band-pass filter are then applied to extrac...

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Bibliographic Details
Main Author: Jun, Yang
Other Authors: El Saddik, Abdulmotaleb
Language:en
Published: Université d'Ottawa / University of Ottawa 2015
Subjects:
Blood Flow
Velocity Field
PCA
DFT
Feature Extraction
KNN
Multiple Kernel Learning Classification
Denoising
Synthetic Video
Online Access:http://hdl.handle.net/10393/32539
http://dx.doi.org/10.20381/ruor-4257

Internet

http://hdl.handle.net/10393/32539
http://dx.doi.org/10.20381/ruor-4257

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