Binary image fusion method for train license plate

Abstract

The invention discloses a binary image fusion method for a train license plate. The method comprises the following steps of obtaining channel data, wherein the channel data are composed of the R, G, B three-channel map of the color image of a train license plate, and the grayscale map of the color image of the train license plate; acquiring a plurality of binary images of the channel data, subjecting a binary image obtained based on the maximum interclass variance method, a binary image obtained based on edges, and a binary image obtained based on the maximum interclass variance of adaptive blocks to the logic 'or' operation; subjecting the operation result of the 'or' operation and a binary image obtained based on adaptive weighted Gaussian threshold method to the logic 'and' operation; and adopting a final result to be an ultimate ideal binary image. According to the technical scheme of the invention, diversified train license plates are binarized effectively, and the binarized train license plates are subjected to the logic operation. Therefore, the high accuracy of a train license plate recognition system is ensured. Meanwhile, the more accurate and real-time traffic information is provided for the railway traffic.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a binarized image fusion method for train license plates in my country. Background technique [0002] In the past, the recording of license plates of trains (trains, high-speed trains, high-speed rail, etc.) mainly relied on human observation, and human observation and recording were prone to errors due to factors such as operator fatigue. The automatic recognition system for train license plate numbers can effectively replace the original manual operation process. [0003] The automatic identification of train license plate numbers is an important part of my country's smart transportation construction. A corresponding identification system is installed near the train tracks in our country to collect pictures of passing trains in real time, and then send the automatically recognized license plate numbers to the corresponding stations. Utilize the train informat...

AI Technical Summary

Problems solved by technology

With the uncertain pixel as the center, iterate to the surrounding local area. When the sum of the foreground pixels in the local area is greater than the sum of the background pixels, it is judged as the foreground pixel, otherwise it is the background pixel. When the sum is the same, the local area is expanded for judgment. This The method is based on a clustering assumption that pixels of the same category should be closer, but this is only a previous assumption on the binarization of car license plates or document binarization. Experiments have proved that the binarization of train license plates not good

[0007] The reason is that although the train license plate can reach the same size after normalization, the characters inside are different at this time and cannot reach the same standard. Therefore, the binarization method above cannot be simply used for binarization

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