Detecting Radius of Pipe in GPR Images and Comparing with 3D Synthetic Data

In ground penetration radar (GPR) B-scan images the various features from the target object reflections. These features are used for locating the buried pipes accurately. Detecting the radius of the pipe is required to identify the fraudulent water connections by the various water board authorities. In this paper a method is proposed to detect the radius of the pipe from scanned GPR images. The proposed pipe radius detection method has four steps. First step is to identify the regions of 3-D GPR data. Here the important features to be considered are hyperbolic curves. In second step the pipe location is identified by connecting all hyperbolic signatures. The third step is to identify the path location and keep on increasing the II value until perfect circle is reached. The final step is pipe radius detection; here a midpoint of the expanded circle is calculated, then the radius is calculated using standard radius calculations. A synthetic 3-D pipe model is created and applied the proposed algorithms on this data to identify the radius of the pipe. The same proposed algorithm is applied on the actual GPR data and compared against the 3-D synthetic data.