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[PENDING] Research Article Automatic Road Pavement Assessment with Image Processing: Review and Comparison Sylvie Chambon, Jean-Marc Moliard

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Academic year: 2024

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Figure 1: Examples of histograms (second line) of images (first line) with cracks – These images present only one mode in their histograms and it is impossible to separate the gray level distribution of cracks from the gray level dis-tribution of the road
Table 1: The quality evaluation systems of the road pavement based on optical devices – L , CLS , LC and IPT mean respectively, that the described system involves a Laser, a Controlled Lighting System, a Linear Camera and/or some Image Processing Tools
Table 2: The imaging systems – For each kind of configuration, the given details are: the orientation of the sensor (O.) that can be perpendicular or not to the road plane, the number of sensors, the presence (-) or not of a laser, the presence (-) or not
Figure 2: The different steps of the method morph – The conditional filtering is applied when the gray level is higher than 40 (to prevent the removal of the crack)
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