Efficient pavement crack detection and classification
| Autor: | Fco. J. Rodriguez-Lozano, JM Jose Palomares, Rafael Villatoro, Joaquín Olivares, A. Cubero-Fernandez |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Biometrics
Computer science 0211 other engineering and technologies Decision tree Early detection lcsh:TK7800-8360 02 engineering and technology Image (mathematics) 021105 building & construction 0202 electrical engineering electronic engineering information engineering Preprocessor Computer vision Electrical and Electronic Engineering business.industry lcsh:Electronics Pattern recognition Heuristic classifier Road maintenance Crack detection Signal Processing Pattern recognition (psychology) Road safety Automatic detection 020201 artificial intelligence & image processing Bilateral filter Artificial intelligence ComputingMethodologies_GENERAL Morphological filter business Pavement crack Information Systems |
| Zdroj: | EURASIP Journal on Image and Video Processing, Vol 2017, Iss 1, Pp 1-11 (2017) |
| ISSN: | 1687-5281 |
| DOI: | 10.1186/s13640-017-0187-0 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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