Resumen

REYES-ORTIZ, Oscar Javier; MEJIA, Marcela  y  USECHE-CASTELBLANCO, Juan Sebastián. Artificial Intelligence Techniques Used in the Processing of Images and Its Application in Pavement Analysis. Rev.EIA.Esc.Ing.Antioq [online]. 2019, vol.16, n.31, pp.189-207. ISSN 1794-1237.  https://doi.org/10.24050/reia.v16i31.1215.

Due to the increase in the costs of maintenance and construction road, the pavement structures study for determine the behavior and mechanical characteristics of material, analyzing the distribution of the particles, has become a field of great importance in engineering. New analytical tools search to make this study more efficient with the reduce of its cost and execution time using image digital processing to extract the most useful photo features. Traditional digital processing is limited in its sensitivity to external disturbances that can modify the image, for this reason in recent years different techniques of artificial intelligence (AI) have been implemented to optimize the algorithms. This work presents a review of the different applications of recent AI techniques in image processing. Afterwards, the works made specifically with pavement images are reviewed and possible future implementations in this field are presented using artificial intelligence.

Palabras clave : Pavement; Artificial intelligence; image digital processing.

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