Generally, the blocks of the images of maximum approach give the least estimated errors. An assessment of the accuracy of the images for the four geologic models was performed using four criteria: the mean absolute error and mean percentage absolute error, resistivity values of the reconstructed blocks and their displacements from the true models. Interpreted results show that all images resolved and reconstructed the essential features of the models. The data sets were merged using basic statistical approach. Four Raster layers were created, three of these layers were used for the input images and the fourth layer was used as the output of the combined images. Preprocessing of the 2-D inverse models was carried out to facilitate further processing and statistical analyses. All the inverse resistivity models were processed using the PCI Geomatica software package commonly used for remote sensing data sets. This study attempts to combine the results of geophysical images obtained from three commonly used electrode configurations using an image processing technique in order to assess their capabilities to reproduce two-dimensional (2-D) resistivity models.
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