The project presents the development and implementation of two algorithms for the segmentation of the non-carbonated zone in specimens of concrete structures with reinforced steel starting from a photograph of the phenolphthalein test applied to the specimen. First, an algorithm based on digital image processing (PDI) was implemented using techniques such as morphological operations and relying on RGB channel information as the main segmentation tool. The second algorithm is based on artificial intelligence, more specifically on Kohonen networks, but also using some PDI techniques to refine the results. In this process, the artificial intelligence algorithm showed better results than the algorithm using only PDI by approximately 20% in the segmentation of the non-carbonated zone of the concrete test tube.