Experimental Assessment of the Concrete Slab with Different Depth and Diameter of Steel Rebar using GPR and Image Processing

The research focuses on the Ground Penetrating Radar (GPR) approach to examine the concrete slab's steel reinforcement bar (rebar). Experimental laboratory work will be carried out by preparing two concrete slabs, i.e., depth-based and diameter-based concrete slabs. This work also proposes to use image processing techniques to analyze images of GPR data (3-D image) of steel rebar. The k-means clustering and binary image are used to eliminate features from the image data to analyze the steel reinforcement. From the results, the pixels of area and diameter decrease in terms of increase the depth of steel rebar for a depth-based concrete slab. On the other hand, the diameter-based concrete slab results present the lower pixels of area and diameter in terms of decreased steel rebar diameter.