{'fraction_non_alphanumeric': 0.005333333333333333, 'fraction_numerical': 0.0, 'mean_word_length': 4.968253968253968, '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}}
Visual models for spatial knowledge discovery

The paper demonstrates a new application of computer vision to digital image libraries for GIS the use of image texture for description of content. Our goal was to use a scheme that is able to automatically decide on the image features and based upon psychophysical studies of human perception nature and computer vision models.