Road sign recognition method based on conditional random field

A conditional random field and road sign technology, applied in the field of scene perception and road sign recognition, can solve the problems of limited representation ability, low accuracy, low road sign extraction efficiency, etc., to improve the classification effect, improve the recall rate, and reduce the area of ​​interest. effect of quantity

Active Publication Date: 2018-10-16
XIDIAN UNIV +1
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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 effic

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  • Road sign recognition method based on conditional random field
  • Road sign recognition method based on conditional random field
  • Road sign recognition method based on conditional random field

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Embodiment Construction

[0021] The technical solution of the present invention will be further described in detail below in conjunction with the drawings and specific embodiments:

[0022] Reference figure 1 , The implementation steps of the present invention are as follows:

[0023] Step 1. Establish a set of road sign color seed points according to the pure road sign image data.

[0024] (1a) According to the color of the road sign, the road sign data is divided into J categories;

[0025] (1b) Use the simple linear clustering method SLIC to perform super pixel segmentation on each type of road sign data to obtain a super pixel block set, and use the color space CIELAB average color feature of the pixels on the super pixel block to describe the super pixel block to obtain this type of road sign A set of superpixel seed points of the data;

[0026] (1c) Use the super pixel seed point set of the J type road sign data to form the road sign color seed point set.

[0027] Step 2: Calculate the color similarity be...

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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...

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Application Information

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IPC IPC(8): G06K9/32G06K9/46G06K9/62
CPCG06V10/255G06V10/56G06F18/2193
Inventor 韩冰杨铮张景滔吕涛高新波王云浩李凯
Owner XIDIAN UNIV
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