{'fraction_non_alphanumeric': 0.009887005649717515, 'fraction_numerical': 0.0, 'mean_word_length': 5.008474576271187, '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}}
Initial contour independent level set image segmentation method using synergetic vector flow fields

The incorrect shape and location of initial contour in the level set image segmentation method could lead to unreliable results but the proper initial contour is hard to design in some images. This paper proposes a method that is more independent using four vector flows instead of using edge detector to insert new contour. The geodesic active contour (GAC) is used to compared with the proposed method on several types of gray-scale images. The experimental results show that the proposed method is more independent from shape and location of initial contour and can cover more details comparing with GAC.