Authors:
Fahmi
;
Suherman
and
Jhoni Hidayat
Affiliation:
Department of Electrical Engineering, Faculty of Engineering, University Sumatera Utara, Indonesia
Keyword(s):
Crack detection, sequential, grayscale, median filter, edge detection, threshold, subtracted image.
Abstract:
Concrete cracks in the construction world is a common phenomenon that occurs in all types of concrete structures. Due to our ignorance of damage to concrete structures, small cracks are often ignored. In fact, a small crack can cause a big disaster. Therefore, early detection of cracks in concrete itself is very important that is expected to minimize the disaster caused. In detecting cracks of the concrete surface, a structure is done by several methods. The purpose of this research is to detect the potential of cracking on the surface of the concrete image with sequential digital image processing. In this research, crack detection is applied to the concrete surface of concrete test result done by applying grayscale function, noise filter, edge detection, threshold, followed by comparing the sequential image with image subtract method. Based on the research data, the methods applied are able to detect the potential of crack in the sequential image with the percentage of the result of
True Positive Rate equal to 76.2% and False Negative Rate of 23.8%. The applied methods can be used as one of the approaches to detect the potential of cracking on the surface of concrete images in concrete press concrete sequentially.
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