Análise da macrotextura de camada porosa de atrito em serviço por processamento digital de imagens

Abstract

The implementation of modern techniques, such as Digital Image Processing (DIP), to evaluate the texture of drainage asphalt pavements in service can be a viable alternative to traditional methods. Thus, the objective of this paper was to relate the results obtained from the Sand Stain Test (HS) of a Porous Friction Course (PFC) with information obtained from DIP. Different thresholds were applied in each image, according to their histograms, in order to count the number of pixels below these thresholds (N° pixels), as well as to estimate their mean gray values (Gm). The N° of pixels explained 96% and the Gm 86% of the HS variability for the images of 1400 x 1400 pixels. For these images, on average, 63% and 18% of all pixels presented open and very open macrotexture, and less than 1% of the pixels presented very close macrotexture.