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Alfredo Dubra's PhD thesis - Imperial College London

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Chapter 3<br />

Data processing<br />

The methods used to process the recorded data, from the raw interferograms to the<br />

topography slope maps are now presented and discussed. The algorithms described<br />

here might not be optimum either mathematically or computationally, but they keep<br />

the complexity to a minimum and, within reasonable levels, minimize the user input<br />

(automation). The quantitative use of an interferometric technique to study the tear<br />

film topography is already a novel field, and we think that by keeping the data processing<br />

simple, not only will this help in its understanding, but it will also keep artifacts<br />

to a minimum. We have sometimes, therefore, traded performance and accuracy for<br />

simplicity.<br />

Before processing, a visual inspection of all the raw interferograms was made, and<br />

those with vignetting, a blink, or where the eye was too far (or too close) to the<br />

experimental setup were tagged as non-usable. From now on we will refer to all the<br />

other interferograms as usable, and these are the only ones to be processed as described<br />

below.<br />

3.1 Carrier frequency estimation<br />

3.1.1 Theory<br />

The first step of the data processing is the estimation of the carrier frequency ⃗ f c of<br />

the interferograms described by equation 2.3 that we recall here once more<br />

I(⃗r) = I o (⃗r) + I o (⃗r + ⃗s) + 2 √ [<br />

I o (⃗r) I o (⃗r + ⃗s) cos φ(⃗r + ⃗s) − φ(⃗r) + 2πf ⃗ ]<br />

c · ⃗r .<br />

41

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