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Traffic sign detection and identification method under complex environment

A traffic sign and complex environment technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of poor real-time performance of traffic signs, and achieve the effect of fast calculation speed, good real-time performance and high robustness

Inactive Publication Date: 2016-07-20
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

[0006] In view of the above deficiencies in the prior art, the purpose of the present invention is to overcome the disadvantages that the invention patent publication number (CN) is that CN105069419A and CN103559507A cannot detect distorted traffic signs and poor real-time performance. In view of this, a robust High and real-time traffic sign detection and recognition method

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  • Traffic sign detection and identification method under complex environment
  • Traffic sign detection and identification method under complex environment
  • Traffic sign detection and identification method under complex environment

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Embodiment Construction

[0026] The present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0027] The specific implementation method involved in the present invention roughly comprises the following steps:

[0028]1. Color segmentation: In the color segmentation stage, the present invention uses a normalized RGB space to obtain the target color by setting thresholds corresponding to different colors. After a large number of experimental tests, the obtained thresholds are shown in Table 1. In the table, r(i,j), g(i,j), and b(i,j) respectively represent the normalized values ​​of red, green and blue pixels. After color segmentation, we get as figure 1 The effect diagram shown.

[0029] red

r(i,j)≥0.4, g(i,j)≤0.3

blue

b(i,j)≥0.4

yellow

(r(i,j)+g(i,j))≥0.85

[0030] Table 1

[0031] 2. Morphological processing: After denoising the color-segmented image, some large interference areas need to be r...

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Abstract

The invention discloses a traffic sign detection and identification method under the complex environment. According to the method, employing a color segmentation method of a normalization RGB space can reduce the image processing time, and algorithm timeliness can be guaranteed; employing a convex hull processing method can solve a problem that a traffic sign is partially shielded; contour analysis is carried out by employing a method extracting contour Fourier descriptors, and a problem that the traffic sign generates rotation, translation and scale change can be solved. Through adding the contour data with projection distortion to a standard database, a problem that the traffic sign generates projection distortion can be solved. Compared with the traditional method, the method has advantages of high robustness and good timeliness, and the method can be applied to intelligent automobiles or pilotless automobiles.

Description

technical field [0001] The invention relates to the technical field of image processing and pattern recognition, in particular to a traffic sign detection and recognition method based on color and shape features. Background technique [0002] The research on traffic sign detection and recognition methods is an important content in the field of unmanned vehicle technology. Traffic sign detection and recognition is divided into detection stage and recognition stage. In the detection stage, traffic signs can be accurately positioned through their color and shape features. In the recognition stage, the category of traffic signs is determined by feature extraction and classification of detected traffic signs. At present, the research on traffic sign detection and recognition methods mainly focuses on improving the detection and recognition rate of traffic signs and ensuring the real-time performance of the algorithm. In order to improve the detection and recognition rate of tra...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/48G06K9/44
CPCG06V20/582G06V10/34G06V10/478
Inventor 侯进余超超
Owner SOUTHWEST JIAOTONG UNIV
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