Automatic Road Pavement Assessment with Image Processing: Review and Comparison
Figure 7
The variations between each manual segmentations that are used for building pseudoground truth. The first graph represents for each operator (one curve for one operator) and each image (x-coordinates), cf. Figure 16 for the corresponding images, the mean distance, , . The second graph presents , cf. Section 4.3 and Table 5. This graph allows us to distinguish the different categories of images (red axes): reliable (), moderately reliable (), ambiguous (). In the two graphs, the purple axes represent the five different samples of images (each sample corresponds to a kind of road pavement). The first ones were acquired with a static system whereas the four others were acquired with a dynamic system.
