Windowed Fourier transform Java application
Fringe analysis is the process of extracting quantitative measurement data from fringe – or line – patterns. It usually consists of phase detection and phase unwrapping. Phase detection is the calculation of the fringe phase from recorded intensity patterns. While phase unwrapping is a method to obt...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2013
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| Online Access: | http://hdl.handle.net/10356/55098 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Fringe analysis is the process of extracting quantitative measurement data from fringe – or line – patterns. It usually consists of phase detection and phase unwrapping. Phase detection is the calculation of the fringe phase from recorded intensity patterns. While phase unwrapping is a method to obtain the clean phase from the said fringe.
Before the fringe can be used, it needs to be demodulated as the input fringe that is obtained usually is very sensitive to noise. The purpose of this project is to extract phase from the noisy modulated fringes.
There are currently many existing method that is available to extract these modulated fringes. However, in this paper we will explore two techniques that are the derived from the usage of Windowed Fourier Transform (WFT). They are Windowed Fourier Filtering (WFF) and Windowed Fourier Ridges (WFR).
In this report, my main objective is to transform a Matlab implementation of the WFT that contains the two algorithms, WFF and WFR into java application. |
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