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The recognition CNN was designed to distinguish concealed cracks from other types of damage in a GPR image, the location CNN determined the location and length measurement of concealed crack images based on the results provided by the recognition CNN, and crack feature points were extracted by the feature extraction CNN to establish the 3D reconstruction models of the concealed cracks.
Last all feature points were extracted.
Three calibration points were extracted from Hohmann et al.9: The age of the outgroup (split between the genera Camelina and Capsella) was set to 7.3572 Myr; the crown age of the genus Arabidopsis was set to 5.9685 Myr, and the root height (split between outgroup and genus Arabidopsis) was set to 8.1627 Myr.
The pattern points were extracted and associated to laser beams using the epipolar constraint.
The origin was the center of the sensor; coordinates of all matching points were extracted from the generated picture.
In the process of dynamic measurement, the rail gauge points were extracted in real time and the displacements of the cameras relative to the rail gauge points were obtained.
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Moreover, multiple data points are extracted from a single sample.
The intersection points are extracted creating a 2D point cloud of the cross section.
Finally, the feature points are extracted based on the normal vector variation and fitted to convey the 3D information.
The true pixel value at the new points is extracted, the semivariogram model updated, and the image reconstructed.
DNA from supernatants harvested at different time points was extracted using the DNeasy Blood & Tissue Kit (Qiagen, Manchester, UK) according to the manufacturer's protocol.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com