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Note that the 0 and 511 DSEs are removed because they correspond to pure background and pure document objects, respectively.
In [3, 4], steps of segmentation to identify the see-through areas are followed by inpainting of estimated pure background areas.
Actually, most of the approaches presented in the previous section propose a coupled modeling for the foreground, instead of detailing a pure background subtraction strategy.
Therefore, the pixels in the pure background will be classified into two classes, i.e., the object and the background, by the segmentation of the wave transformation matrix, which actually leads to the misclassification of some pixels to object.
This is a challenging task in high-pressure experiments because of the inherent difficulty in obtaining pure background patterns (i.e. X-ray scattering profiles of diamonds and gasket without any sample).
We can see that there is an obvious difference between the pure background sub-regions (T 1, P 1) and (P 2, T 3) and the mixed sub-regions (P 1, T 2) and (T 2, P 2).
Similar(38)
However, pure background-subtraction-based approaches without human detector may cause false alarms if a person stops moving for a short time.
In addition, if only part of the exogenous individuals is available, they can be used to minimise coancestries and to recover the purest background.
In addition, our model is on a pure C57/Bl6 background rather than on a C57Bl6/129 background.
First, our mice were generated in a pure C57Bl/6J background while the mice in [34] are on a mixed 129S2/SvPas/C57Bl/6J background.
Because Pkd1 ΔC/ ΔC mice survived for longer times in a pure genetic background [10], this second set of experiments was conducted in a pure Bl6/C57 background to exclude the possibility that the genetic background influenced the outcome.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com