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Rest2dinv imaging of geoelectric acquisition data always produces radiometric degraded images on the edge of the anomaly. This degradation is caused by influencing the resistivity of the anomaly and medium, so that the anomalous edges are imaged with non-singular color lines. In mining exploration, the edge degraded image can cause difficulties in determining the size of mining material deposits, so that prospective mining exploration in a mining area cannot be adequately measured. In this paper the results of the development of a digital image processing system are presented to reduce the effect of degradation of the edges of res2dinv images that are inversed from res2dmod data acquisition. Reduction is done on gray level with the rgb2gray Matlab function followed by edge detection operations using the gradient operator to increase the sharpness of the line in the image. And then the segmentation process is carried out with a discontinuity approach to reinforce the appearance of identified anomalous objects.