Method for detecting rapid robustness traffic signs on outdoor bad illumination condition

Abstract

The invention relates to a method for detecting rapid robustness traffic signs on an outdoor bad illumination condition. The method comprises the steps that color histograms of different kinds of traffic signs are established; a probability graph based on the various histograms is generated; traffic sign candidate zones based on the MSER are extracted; non-traffic-sign zones are eliminated. According to the method, the different color histograms on different illumination conditions are established, back projection is conducted to generate the probability graph based on the various histograms of input images, the traffic sign images on different illumination conditions are converted into a unified condition, consistency processing is conducted on MSER feature zones, robustness of an algorithm in bad illumination change is improved, and meanwhile, the detection speed is high. Experiments show that on the weak illumination condition and on the strong illumination condition, the detection accuracy of an existing algorithm is obviously reduced, but the detection accuracy rate of the method keeps over 90%. According to the method for detecting the rapid robustness traffic signs on the outdoor bad illumination condition, the red traffic signs, the yellow traffic signs and the blue traffic signs can be extracted and traffic signs in a white background can also be extracted.

Description

technical field [0001] The invention belongs to the technical field of machine vision and image processing, and in particular relates to a fast and robust traffic sign detection method for outdoor harsh lighting conditions. Background technique [0002] With the development of society, the number of motor vehicles and the number of travelers have increased significantly, and traffic safety and traffic congestion have become increasingly serious social problems. Intelligent transportation system is considered to be an effective way to solve these problems. At home and abroad, a lot of manpower and financial resources have been invested in intelligent transportation systems. The traffic sign recognition system based on video images is an important part of the intelligent transportation system. It provides drivers with important warning and prohibition information, thereby effectively reducing the driver's heavy workload in complex road conditions, and ultimately providing dri...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that the detection accuracy of the traffic sign detection algorithm is significantly reduced under harsh lighting conditions and the current algorithm is difficult to meet the real-time performance, the present invention proposes a multi-class color histogram back-projection to establish a probability map, combined with the maximum stable extremum Fast and Robust Traffic Sign Detection Method Based on Feature Extraction in Maximally Stable Extremal Regions (MSER)

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