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Efficient pavement crack detection and classification

Cubero-Fernandez, A. ; Rodriguez-Lozano, Fco. J. ; Villatoro, Rafael ; Olivares, Joaquin ; Palomares, Jose M.

EURASIP journal on image and video processing, 2017-06, Vol.2017 (1), p.1-11, Article 39 [Periódico revisado por pares]

Cham: Springer International Publishing

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Título:
Efficient pavement crack detection and classification
Autor: Cubero-Fernandez, A. ; Rodriguez-Lozano, Fco. J. ; Villatoro, Rafael ; Olivares, Joaquin ; Palomares, Jose M.
Assuntos: Algorithms ; Automatic detection ; Biometrics ; Classification ; Crack detection ; Cracks ; Defects ; Engineering ; Heuristic classifier ; Heuristic methods ; Image Processing and Computer Vision ; Nondestructive testing ; Pattern Recognition ; Pavement crack ; Preprocessing ; Road maintenance ; Road safety ; Signal,Image and Speech Processing
É parte de: EURASIP journal on image and video processing, 2017-06, Vol.2017 (1), p.1-11, Article 39
Descrição: Each year, millions of dollars are invested on road maintenance and reparation all over the world. In order to minimize costs, one of the main aspects is the early detection of those flaws. Different types of cracks require different types of repairs; therefore, not only a crack detection is required but a crack type classification. Also, the earlier the crack is detected, the cheaper the reparation is. Once the images are captured, several processes are applied in order to extract the main characteristics for emphasizing the cracks (logarithmic transformation, bilateral filter, Canny algorithm, and a morphological filter). After image preprocessing, a decision tree heuristic algorithm is applied to finally classify the image. This work obtained an average of 88% of success detecting cracks and an 80% of success detecting the type of the crack. It could be implemented in a vehicle traveling as fast as 130 kmh or 81 mph.
Editor: Cham: Springer International Publishing
Idioma: Inglês

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Efficient pavement crack detection and classification

Cubero-Fernandez, A. ; Rodriguez-Lozano, Fco. J. ; Villatoro, Rafael ; Olivares, Joaquin ; Palomares, Jose M.

Cham: Springer International Publishing

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