FLASH: a new key structure extraction used for line or crack detection and image matching
| Autor: | Faula, Yannick, Bres, Stéphane, Eglin, Véronique |
|---|---|
| Přispěvatelé: | Extraction de Caractéristiques et Identification (imagine), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Eglin, Véronique |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV] Crack detection [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing Feature extraction [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] Line detection |
| Zdroj: | International Conference on Computer Vision Theory and Applications (Visapp 2018) International Conference on Computer Vision Theory and Applications (Visapp 2018), Jan 2018, Funchal, Madeira, Portugal |
| Popis: | International audience; Key structures extraction like points, short-lines or regions extraction is a big issue in computer vision. Many fields of application need large image acquisition and fast extraction of fine structures. Several methods have been proposed with different accuracies and execution times. In this study, we focus on situations where existing local feature extractors give not enough satisfying results concerning both accuracy and time processing. Especially, we focus on short-line extraction in local low-contrasted images. To this end, we propose a new Fast Local Analysis by threSHolding (FLASH) designed to process large images under hard time constraints. We apply FLASH on the field of concrete infrastructure monitoring where robots and UAVs(Unmanned Aerial Vehicles) are more and more used for automated defect detection (like cracks). For large concrete surfaces, there are several hard constraints such as the computational time and the reliability. Results show that the computations are faster than several existing algorithms without learning stage, and lead to an automated monitoring of infrastructures. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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