A Multi-Signal Light Recognition Method Based on Image Processing

A recognition method and image processing technology, applied in the field of image recognition, can solve the problem of no solution, and achieve the effect of reducing the effect of halo

Active Publication Date: 2017-08-15
ZHEJIANG UNIV +1
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Problems solved by technology

[0007] Based on the above, it can be seen that although the existing signal light recognition methods can basically meet the requirements of real-time and accurate (within 100ms running time, image recognition rate of more than 90%) to identify signal lights, they are only aimed at circular signal lights or arrow-shaped signal lights. One has been identified, and no corresponding solution has been proposed for the situation where circular signal lights and arrow-shaped signal lights appear in the same scene at the same time in some cities

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  • A Multi-Signal Light Recognition Method Based on Image Processing
  • A Multi-Signal Light Recognition Method Based on Image Processing
  • A Multi-Signal Light Recognition Method Based on Image Processing

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[0033] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] Such as figure 1 As shown, the present invention is based on the multi-signal light identification method of image processing, comprises the following steps:

[0035] Step 1: Take the area where signal lights may appear as the target area, and perform Top-Hat transformation. Here, the area where signal lights may appear is determined according to the installation position of the image acquisition device on the vehicle, such as taking the upper half of the image as the target area.

[0036] Step 2: Convert the Top-Hat transformed image into a grayscale image, and mark the luminous properties of the pixels through the grayscale threshold, and mark the pixels whose grayscale value is greater than the experimental threshold as luminous points.

[003...

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Abstract

The invention discloses a multi-signal light recognition method based on image processing, comprising: (1) performing Top-Hat transformation on a target area; (2) performing grayscale threshold segmentation on the transformed target area to extract a luminous area; (3) Further screen the luminous area through geometric filtering, and mark the candidate area; (4) Train a classifier and use the classifier to classify the candidate area to determine the signal light area; (5) Determine the shape of the signal light through probability analysis. The present invention reduces the influence of halo by preprocessing the training samples, and better restores the shape characteristics of the signal lights. During the processing, the classification obtained by simulating the possible shake and other influences that may occur during the image taking process is increased. device; the present invention is entirely based on image processing, does not need to modify the existing signal light equipment, and its real-time performance is much higher than calling the algorithms for recognizing circular signal lights and recognizing arrow-shaped signal lights respectively.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to an image processing-based multi-signal light recognition method. Background technique [0002] Now more and more research and development departments or scientific research units are concerned about the realization of the intelligent auxiliary system of automobiles, and various methods have been proposed in terms of signal light recognition: [0003] The backplane detection based on NCC template matching proposed by Jin Tao et al. (Traffic light recognition method based on cascaded filtering [M], Journal of Shanghai Jiaotong University (Natural Edition). 2012:1355-60.), but only used in the matching process A single template, the adaptability of the template remains to be explored. [0004] The self-learning template matching algorithm proposed by Raoul de Charette et al. is used for signal light recognition (Real TimeVisual Trafric Lights Recognition Based...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V20/584G06F18/253
Inventor 杨国青李红吴晨逄伟吴朝晖
Owner ZHEJIANG UNIV
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