Abstract
In this paper, we propose a novel technique for the estimation and correction of breathing artifacts in thermographic images. Our proposed technique combines a phase correlation method (PCM) to find large displacements and an optical flow method (OFM) to determine small displacements (sub-pixel accuracy). In the first step, each image is divided into a sequence 10 × 10 pixel sub-images and then the PCM is applied to each of them to determine displacements. In a second step, an OFM is applied to refine the displacements. The combined application of these two methods shows promising results considering the spectral density (SD) and the root means square error (RMSE). Moreover, we calculated the computation time for our proposed technique and compared the obtained results to those of other methods.
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