{'fraction_non_alphanumeric': 0.026392961876832845, 'fraction_numerical': 0.0, 'mean_word_length': 4.939130434782609, '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}}
Coarse-to-fine registration for infrared and visible images of power grid

We present a novel approach to register the visible and infrared power grid images in this paper. This method is based on the coarse-to-fine structure for infrared and visible registration. First, we obtain the feature points of multi-modality images based on the experience. Second, the similarity geometric transformation model is employed to register the multi-modality images coarsely. At last, fine-grained model is built to correct the deviation of coarse registration. The experiment section shows the good performance of our proposed coarse-to-fine method for visible and infrared power grid images.