Ground Penetrating Radar Image Preprocessing for Embedded Object in Media

The detection of embedded object from ground penetrating radar GPR imagery is our goal. The GPR image is a cross sectional slices. The embedded objects are metal and/or plastic type. This research has many real world applications such as remote sensing, geology, medicine and civil. The proposed method starts with two dimensional 2D image preprocessing for each slice. The preprocessing involves multispectral to gray conversion, contrast enhancement, segmenting, thresholding and denoising to modify each 2D image slice individually. Preprocessing algorithms involved in this paper are chosen appropriately to have image without noise, with object detected and with object eliminated. After a preprocessing step the proposed algorithm for object detection starts with objects contour finding in each slice, 2D objects transparency and transformation. The last step is the proposed interpolation technique to build the successive slices until the spaces is filled to find out the embedded object. Key-Words: Object Detection, Object Recognition, Ground Penetrating Radar (GPR), Volume Reconstruction, Interpolation, Image Processing.