Abstract
Crack detection is one of the vital tasks in monitoring structural health and ensuring structural safety. This paper provides a smart way to recognize cracks in the structure and analyze its property. In this model, Min-Max Grey Level Discrimination (M2GLD) method is applied for intensity adjustment. It uses Otsu model for the preprocessing task of the image. The aim of this grey intensity tuning system is to increase the accuracy of the detection of cracks. From the result, it can be noticed that the proposed approach is providing a satisfactory result for detecting the cracks in a digital image.
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Mohapatra, S.K., Kar, P., Mohanty, M.N. (2021). An Intelligent Approach to Detect Cracks on a Surface in an Image. In: Mishra, D., Buyya, R., Mohapatra, P., Patnaik, S. (eds) Intelligent and Cloud Computing. Smart Innovation, Systems and Technologies, vol 194. Springer, Singapore. https://doi.org/10.1007/978-981-15-5971-6_5
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DOI: https://doi.org/10.1007/978-981-15-5971-6_5
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