Cargando…
Image Processing-Based Detection of Pipe Corrosion Using Texture Analysis and Metaheuristic-Optimized Machine Learning Approach
To maintain the serviceability of buildings, the owners need to be informed about the current condition of the water supply and waste disposal systems. Therefore, timely and accurate detection of corrosion on pipe surface is a crucial task. The conventional manual surveying process performed by huma...
Autores principales: | Hoang, Nhat-Duc, Tran, Van-Duc |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657638/ https://www.ncbi.nlm.nih.gov/pubmed/31379936 http://dx.doi.org/10.1155/2019/8097213 |
Ejemplares similares
-
Automatic Impervious Surface Area Detection Using Image Texture Analysis and Neural Computing Models with Advanced Optimizers
por: Hoang, Nhat-Duc
Publicado: (2021) -
Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters
por: Hoang, Nhat-Duc
Publicado: (2018) -
Proposing a hybrid metaheuristic optimization algorithm and machine learning model for energy use forecast in non-residential buildings
por: Ngo, Ngoc-Tri, et al.
Publicado: (2022) -
Classification of Asphalt Pavement Cracks Using Laplacian Pyramid-Based Image Processing and a Hybrid Computational Approach
por: Hoang, Nhat-Duc
Publicado: (2018) -
Tuning metaheuristics: a machine learning perspective
por: Birattari, Mauro, et al.
Publicado: (2009)