{'fraction_non_alphanumeric': 0.00831353919239905, 'fraction_numerical': 0.0, 'mean_word_length': 5.534883720930233, '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}}
Moment Invariants Based on SUSAN Initial Edge Response

In view of problem that it usually lacks of fusion depth to combine moment invariants with other extraction technology on local invariant features, this article proposes the moment invariants based on SUSAN initial edge response, which provides a sort of organic integration for moment invariants and SUSAN edge detection algorithm. The combination point is to treat SUSAN initial edge response matrix as gray scale matrix, then to calculate its corresponding moment invariants. Experiments show that the recall and precision of retrieval algorithm based on the above moment invariants will become satisfied as soon as the quality of retrieval results reaches to a critical value, and the moment invariants reflect certain invariance about affine transformation and illumination change.