{'fraction_non_alphanumeric': 0.017130620985010708, 'fraction_numerical': 0.0, 'mean_word_length': 5.631205673758865, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
An Evaluation Method for Reconstructed Images in Electrical Tomography

The quality of reconstructed images plays an important part in evaluating reconstruction algorithms in electrical tomography. Existing image evaluation methods have many limitations. A multi-parameter and quantitative evaluation method is presented in this paper, which is based on the analysis of the characteristics of reconstructed images and digital image processing methods. The new method has three types of evaluation parameters, i.e., area, position, and similarity parameters. In order to ensure the efficacy of the new method, some typical distribution models are built using electrical field simulation software. Simulation data derived from the finite element method are also given. The simulation data demonstrate that the method is suitable for comprehensive evaluation of reconstructed images and the results are consistent with visual perception.