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The resulting workflow for 3D DESI-imaging MS dataset compilation was devised based on image alignment and peak matching algorithms published previously [ 23].
The figure shows the image alignment process and the extraction of the periocular region from the aligned face image.
Image alignment is exemplified in Figure 4.
Figure 4 Example of image alignment.
Therefore, we primarily used the eye centers for image alignment.
Moreover, Table 6 indicates the searching range for image alignment.
Despite consistent subject positioning, image alignment can still be challenging.
Figure 16 Results of image alignment on real images.
Figure 1 Flow chart of the proposed image alignment algorithm.
Preliminary background normalization, image alignment, and reconstruction were performed using the XMreconstructor software package from Xradia.
In other words, neural networks are helpful for designing image alignment systems.
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