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Tire Speckle Interference Bubble Defect Detection Based on Improved Faster RCNN-FPN
With the development of neural networks, object detection based on deep learning is developing rapidly, and its applications are gradually increasing. In the tire industry, detecting speckle interference bubble defects of tire crown has difficulties such as low image contrast, small object scale, an...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143011/ https://www.ncbi.nlm.nih.gov/pubmed/35632316 http://dx.doi.org/10.3390/s22103907 |