Abstract
Analyzing and identifying cracks is the most vital step in the construction process. The manual crack detection process will take longer and will be subjectively assessed by the inspectors. This research provides a conceptual base for the image processing methodology for the automated identification and examination of cracks. This model uses the Gray Intensity Correction Method ( i.e.) Min Max Gray Level Differentiation (M2GLD) for Image Improvement and the Otsu Image Binarization Process. The experimental result shows that the combination of the M2GLD method and the Otsu test will effectively detect crack defects in digital images. This model can therefore be a useful tool for building construction agencies and structural maintenance engineers.
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