Full-field optical coherence tomography with central derivative-based algorithm

Abstract

Full-field optical coherence tomography (FFOCT) takes the advantage of a low coherence light for revealing an information on a coated surface. The traditional algorithms such as 5-step phase-shift and backward derivative-based algorithms are usually applied for unveiling the images in this method, but improvement is still needed. In this senior project, a central derivative-based (CDB) algorithm for FFOCT is investigated. It is applied in both a simulation and experimental surfaces for comparing the method with the traditional 5-step phase-shift and backward derivative-based algorithms. The result shows that although the CDB-algorithm requires more time to process, it is good at retaining the brightness of images especially at short steps.