Road sign recognition method based on conditional random field

Abstract

The invention discloses a road sign recognition method based on a conditional random field, and mainly solves the problem of low recognition accuracy of an existing road sign. The implementation scheme of the road sign recognition method based on conditional random field comprises the following steps of: 1. establishing a set of road sign color seed points according to pure road sign image data; 2. calculating a set of a priori color feature diagrams of images containing the road sign according to the set of road sign color seed points; 3.calculating a set of color probability distribution diagrams of images containing road sign by Bayesian Decision Theory; 4. combining the prior color feature diagram and the color probability distribution diagram of the road sign image with Markov conditional random field model to obtain a combined image; 5. extracting a region of interest in the combined image; and 6. classifying and recognizing the region of interest through a multi-scale convolutional neural network. According to the road sign recognition method based on conditional random field, the detection rate of the road sign and the recognition accuracy of the road sign are improved; andthe method can be used for scene perception in the traffic field.

Description

Technical field [0001] The invention belongs to the field of image processing technology, and further relates to a road sign recognition method, which can be used for scene perception in the traffic field. Background technique [0002] With the development and progress of the social economy, vehicles have been popularized in most domestic families. However, while the vehicles bring convenience to people’s lives, the frequency of traffic accidents is also increasing. The traffic safety problem has been affected by the government and scientific research. Institutions and car manufacturers attach great importance. One of the effective ways to solve this problem is to accurately and effectively set up road traffic signs to provide drivers with driving information such as prohibitions, warnings, and instructions, thereby reducing the occurrence of traffic accidents. Therefore, the road sign detection and recognition system has received extensive attention from scholars. In the past t...

AI Technical Summary

Problems solved by technology

[0005] For the above-mentioned road sign detection methods, due to insufficient consideration of the color and shape characteristics of road signs, the extraction of features is relatively simple, so the efficiency of road sign extraction is low. For the above-mentioned road sign recognition methods, due to the limited ability of traditional feature representation, the accuracy of recognition is relatively low. Low

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