Applications of windowed Fourier fringe analysis in optical measurement: a review

Q Kemao - Optics and Lasers in Engineering, 2015 - Elsevier
The applications of windowed Fourier fringe analysis in the past decade are reviewed.
Because fringe patterns from different optical measurement systems are similar, the …

Two-dimensional windowed Fourier transform for fringe pattern analysis: principles, applications and implementations

Q Kemao - Optics and Lasers in Engineering, 2007 - Elsevier
Fringe patterns from optical metrology systems need to be demodulated to get the desired
parameters. Two-dimensional windowed Fourier transform is chosen for the determination of …

Automatic inspection system of surface defects on optical IR-CUT filter based on machine vision

Y Liu, F Yu - Optics and Lasers in Engineering, 2014 - Elsevier
The paper presents an automatic surface defects inspection system for optical Infrared Cut-
off (IR-CUT) filter, which is applied in all kinds of color cameras and video devices. The …

Subspace analysis based machine learning method for automated defect detection from fringe patterns

D Pandey, J Ramaiah, S Ajithaprasad, R Gannavarpu - Optik, 2022 - Elsevier
We propose a reliable and robust defect detection method from the noisy fringe patterns
obtained in optical interferometry. The proposed method relies on a naive Bayes classifier …

High-speed videography of transparent media using illumination-based multiplexed schlieren

S Ek, V Kornienko, A Roth, E Berrocal… - Scientific Reports, 2022 - nature.com
Schlieren photography is widely used for visualizing phenomena within transparent media.
The technique, which comes in a variety of configurations, is based on detecting or …

Millimeter-wave tomographic imaging of composite materials based on phase evaluation

D Meier, T Schwarze, T Link, C Zech… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
A novel data processing algorithm for the generation of tomographic images of composite
materials, based on measurements acquired via frequency-modulated continuous-wave …

Automated defect identification from carrier fringe patterns using Wigner–Ville distribution and a machine learning-based method

A Vishnoi, A Madipadaga, S Ajithaprasad… - Applied Optics, 2021 - opg.optica.org
The paper presents a method for automated defect identification from fringe patterns. The
method relies on computing the fringe signal's Wigner–Ville distribution followed by a …

Deep learning assisted non-contact defect identification method using diffraction phase microscopy

SK Narayan, AVS Vithin, R Gannavarpu - Applied Optics, 2023 - opg.optica.org
Reliable detection of defects from optical fringe patterns is a crucial problem in non-
destructive optical interferometric metrology. In this work, we propose a deep-learning …

Defect detection using windowed Fourier spectrum analysis in diffraction phase microscopy

S Ajithaprasad, R Velpula… - Journal of Physics …, 2019 - iopscience.iop.org
This paper introduces a technique to identify defects from fringe patterns for optical non-
destructive testing and metrology. The technique relies on computation of the windowed …

Quantitative flow visualization by hidden grid background oriented schlieren

J Ramaiah, T de Rubeis, R Gannavarpu… - Optics and Lasers in …, 2023 - Elsevier
The paper introduces hidden grid background oriented schlieren for quantitative study and
visualization of natural convection heat transfer. In this technique, the refractive index …