FLASH: a new key structure extraction used for line or crack detection and image matching

Yannick Faula 1 Stéphane Bres 1 Véronique Eglin 1
1 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : 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.
Type de document :
Communication dans un congrès
International Conference on Computer Vision Theory and Applications (Visapp 2018), Jan 2018, Funchal, Madeira, Portugal. 2018
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https://hal.archives-ouvertes.fr/hal-01636680
Contributeur : Véronique Eglin <>
Soumis le : jeudi 16 novembre 2017 - 19:16:52
Dernière modification le : samedi 18 novembre 2017 - 08:29:22

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  • HAL Id : hal-01636680, version 1

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Yannick Faula, Stéphane Bres, Véronique Eglin. FLASH: a new key structure extraction used for line or crack detection and image matching. International Conference on Computer Vision Theory and Applications (Visapp 2018), Jan 2018, Funchal, Madeira, Portugal. 2018. 〈hal-01636680〉

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