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Furthermore, it was not possible to find the crack image database used by other authors.
Figure 5 shows the result of applying bilateral filtering to a crack image.
Figure 6 shows the result of applying Canny algorithm to a crack image with a previously applied bilateral filter.
Therefore, the comparison of the performance of DAGRI using another crack image database has been very difficult to achieve.
Figure 7 shows the result of applying closing morphological filter to a crack image with a previously applied Canny algorithm.
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High-resolution phase contrast imaging technique has enabled the reconstruction of clear crack images together with the details of microstructural features.
Ouyang et al. [21] made a very interesting preprocessing of crack images.
In fact, Li et al. method needs a previous pre-classification to discern between non-crack and crack images.
For pavement crack images, useful information exists only in the region containing cracks, but this region is usually quite small compared to the whole image, especially when the pavement condition is in a general good state.
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.
"And they fell in love with that cracked image.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com