Cargando…
A Crack Segmentation Model Combining Morphological Network and Multiple Loss Mechanism
With the wide application of computer vision technology and deep-learning theory in engineering, the image-based detection of cracks in structures such as pipelines, pavements and dams has received more and more attention. Aiming at the problems of high cost, low efficiency and poor detection accura...
Autores principales: | Zhao, Fan, Chao, Yu, Li, Linyun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919181/ https://www.ncbi.nlm.nih.gov/pubmed/36772167 http://dx.doi.org/10.3390/s23031127 |
Ejemplares similares
-
Quantity Effect of Radial Cracks on the Cracking Propagation Behavior and the Crack Morphology
por: Chen, Jingjing, et al.
Publicado: (2014) -
Pavement Cracks Segmentation Algorithm Based on Conditional Generative Adversarial Network
por: Kang, Jie, et al.
Publicado: (2022) -
Combined Crack Initiation and Crack Growth Model for Multi-Layer Polymer Materials
por: Pletz, Martin, et al.
Publicado: (2022) -
Crack Segmentation Extraction and Parameter Calculation of Asphalt Pavement Based on Image Processing
por: Li, Zhongbo, et al.
Publicado: (2023) -
Multiple-Attention Mechanism Network for Semantic Segmentation
por: Wang, Dongli, et al.
Publicado: (2022)