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Review of Image Based Concrete Crack Detection
Detection of cracks on concrete is very important for the renovation of concrete structures. Maximum area unit in the infrastructure has constituted of concrete. Moreover, minute cracks which give impression of being trivial expand and eventually do uttermost deterioration in structure. However there are numerous difficulties in detection of cracks through image for various reasons. Aforementioned point connects with the constructional robustness and soundness, for this reason it must be clear up timely to keep away further loss. It is interesting to locate even the minute fractures in concrete. Physical survey lacks impartiality within the significant investigation. This paper discusses the various research works on the detection of cracks through image. Correctness, exactness, retraction and F measure are key parameters to judge the authenticity of work.
Review of Image Based Concrete Crack Detection
Detection of cracks on concrete is very important for the renovation of concrete structures. Maximum area unit in the infrastructure has constituted of concrete. Moreover, minute cracks which give impression of being trivial expand and eventually do uttermost deterioration in structure. However there are numerous difficulties in detection of cracks through image for various reasons. Aforementioned point connects with the constructional robustness and soundness, for this reason it must be clear up timely to keep away further loss. It is interesting to locate even the minute fractures in concrete. Physical survey lacks impartiality within the significant investigation. This paper discusses the various research works on the detection of cracks through image. Correctness, exactness, retraction and F measure are key parameters to judge the authenticity of work.
Review of Image Based Concrete Crack Detection
Sharma, Rishi (author) / Potnis, Anjali (author) / Chourasia, Vijayshree (author)
2021-01-08
2896870 byte
Conference paper
Electronic Resource
English
Concrete Crack Detection by Multiple Sequential Image Filtering
Online Contents | 2012
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