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Automatic Detection and Identification of Defects by Deep Learning Algorithms from Pulsed Thermography Data
Infrared thermography (IRT), is one of the most interesting techniques to identify different kinds of defects, such as delamination and damage existing for quality management of material. Objective detection and segmentation algorithms in deep learning have been widely applied in image processing, a...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181744/ https://www.ncbi.nlm.nih.gov/pubmed/37177648 http://dx.doi.org/10.3390/s23094444 |