Cargando…
Analysis of the Region of Interest According to CNN Structure in Hierarchical Pattern Surface Inspection Using CAM
A convolutional neural network (CNN), which exhibits excellent performance in solving image-based problem, has been widely applied to various industrial problems. In general, the CNN model was applied to defect inspection on the surface of raw materials or final products, and its accuracy also showe...
Autores principales: | Moon, In Yong, Lee, Ho Won, Kim, Se-Jong, Oh, Young-Seok, Jung, Jaimyun, Kang, Seong-Hoon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122604/ https://www.ncbi.nlm.nih.gov/pubmed/33919231 http://dx.doi.org/10.3390/ma14092095 |
Ejemplares similares
-
Nonlinear and Dotted Defect Detection with CNN for Multi-Vision-Based Mask Inspection
por: Woo, Jimyeong, et al.
Publicado: (2022) -
Development of Inspection Robots for Bridge Cables
por: Yun, Hae-Bum, et al.
Publicado: (2013) -
Region of interest-based predictive algorithm for subretinal hemorrhage detection using faster R-CNN
por: Suchetha, M., et al.
Publicado: (2021) -
A hierarchical GAN method with ensemble CNN for accurate nodule detection
por: Rezaei, Seyed Reza, et al.
Publicado: (2022) -
CNN-Peaks: ChIP-Seq peak detection pipeline using convolutional neural networks that imitate human visual inspection
por: Oh, Dongpin, et al.
Publicado: (2020)