{'fraction_non_alphanumeric': 0.011990407673860911, 'fraction_numerical': 0.0, 'mean_word_length': 4.887323943661972, '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}}
Road traffic sign detection in color images

This work is a part of a smart system that can be used in autonomous vehicles or can assist drivers in locating road signs. The detection technique includes histogram equalization, light control and color segmentation. In this technique, both the HSV and the YUV color spaces are incorporated to achieve better segmentation results than that of one color space techniques.