{'fraction_non_alphanumeric': 0.013888888888888888, 'fraction_numerical': 0.004629629629629629, 'mean_word_length': 5.555555555555555, '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}}
A Combined Approach To 3D Seismic Data Segmentation And Rendering

The problem of 3D seismic data segmentation and visualization is discussed. In several volume rendering algorithms, an opacity value is assigned to each voxel (volume element) based on local data characteristics. This approach is very limited in individualizing specific seismic events, since different parts of the data may share similar features. Our proposed framework incorporates a statistic segmentation scheme into the opacity function as a measure of spatial coherence. The proposed algorithm is demonstrated for visualization of stratigraphic features embedded in 3D data.