title: Adaptive road crack detection system by pavement classification.
abstract: This paper presents a road distress detection system involving the phases needed to properly deal with fully automatic road distress assessment. A vehicle equipped with line scan cameras, laser illumination and acquisition HW-SW is used to storage the digital images that will be further processed to identify road cracks. Pre-processing is firstly carried out to both smooth the texture and enhance the linear features. Non-crack features detection is then applied to mask areas of the images with joints, sealed cracks and white painting, that usually generate false positive cracking. A seed-based approach is proposed to deal with road crack detection, combining Multiple Directional Non-Minimum Suppression (MDNMS) with a symmetry check. Seeds are linked by computing the paths with the lowest cost that meet the symmetry restrictions. The whole detection process involves the use of several parameters. A correct setting becomes essential to get optimal results without manual intervention. A fully automatic approach by means of a linear SVM-based classifier ensemble able to distinguish between up to 10 different types of pavement that appear in the Spanish roads is proposed. The optimal feature vector includes different texture-based features. The parameters are then tuned depending on the output provided by the classifier. Regarding non-crack features detection, results show that the introduction of such module reduces the impact of false positives due to non-crack features up to a factor of 2. In addition, the observed performance of the crack detection system is significantly boosted by adapting the parameters to the type of pavement.
authors.affiliation: Computer Engineering Department, Polytechnic School, University of Alcalá, Alcalá de Henares, Madrid 28871, Spain. miguel.gavilan@aut.uah.es
authors.forename: Miguel
authors.initials: M
authors.lastname: Gavilán
authors.forename: David
authors.initials: D
authors.lastname: Balcones
authors.forename: Oscar
authors.initials: O
authors.lastname: Marcos
authors.forename: David F
authors.initials: DF
authors.lastname: Llorca
authors.forename: Miguel A
authors.initials: MA
authors.lastname: Sotelo
authors.forename: Ignacio
authors.initials: I
authors.lastname: Parra
authors.forename: Manuel
authors.initials: M
authors.lastname: Ocaña
authors.forename: Pedro
authors.initials: P
authors.lastname: Aliseda
authors.forename: Pedro
authors.initials: P
authors.lastname: Yarza
authors.forename: Alejandro
authors.initials: A
authors.lastname: Amírola
mesh_terms: D000465:Algorithms; D003252:Construction Materials; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D018986:Motor Vehicles; D015203:Reproducibility of Results; D013314:Stress, Mechanical; D013499:Surface Properties; D014186:Transportation