{'fraction_non_alphanumeric': 0.01411764705882353, 'fraction_numerical': 0.0, 'mean_word_length': 6.033057851239669, '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}}
An Improved Intelligent Transportation Algorithm Based on Image Processing

In this paper, an improved defogging algorithm for intelligent transportation system based on the image processing is proposed. This paper aims at the existing intelligent transportation system, analyzes the principle of total variation, and introduces the principle of the total variation defogging algorithm in details. The improved algorithm is proposed based on the total variation image defogging algorithm. The experimental results show that the improved total variation image defogging algorithm has lower complexity in the algorithm, faster recognition speed and better visual defogging effect. Combining the intelligent transportation system with high-effecting image processing technology enables the transportation system to achieve real-time and high-efficiency.