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Pavement crack classification based on tensor factorization
Highlights Tensor factorization method of classifying cracks easy to understand. Higher level of classification accuracy achieved with larger training image sets. To ensure accuracy there must be appreciable variation within and across training sets.
Abstract This paper presents tensor factorization as a means of classifying cracks in pavements. Several crack classification algorithms exist and they are mostly based on other machine learning methods. These may come with their own problems which may be classification errors and long processing times. Tensors are multidimensional arrays. The nature of tensors enables the analysis of the images to be carried out in a 3D space which ensures a more robust and accurate analysis tool. The levels of accuracy obtained after using the algorithm implies that crack classification based on tensor factorization is one that can be successfully employed by state agencies nationwide and around the world which use digital image processing systems as part of their pavement management programs.
Pavement crack classification based on tensor factorization
Highlights Tensor factorization method of classifying cracks easy to understand. Higher level of classification accuracy achieved with larger training image sets. To ensure accuracy there must be appreciable variation within and across training sets.
Abstract This paper presents tensor factorization as a means of classifying cracks in pavements. Several crack classification algorithms exist and they are mostly based on other machine learning methods. These may come with their own problems which may be classification errors and long processing times. Tensors are multidimensional arrays. The nature of tensors enables the analysis of the images to be carried out in a 3D space which ensures a more robust and accurate analysis tool. The levels of accuracy obtained after using the algorithm implies that crack classification based on tensor factorization is one that can be successfully employed by state agencies nationwide and around the world which use digital image processing systems as part of their pavement management programs.
Pavement crack classification based on tensor factorization
Adarkwa, Offei Amanor (author) / Attoh-Okine, Nii (author)
Construction and Building Materials ; 48 ; 853-857
2013-07-24
5 pages
Article (Journal)
Electronic Resource
English
Pavement crack classification based on tensor factorization
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