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Railway scene text localization method based on combination of maximum stable extreme value region and stroke width

A technology of maximum stable extreme value and stroke width, applied in the field of computer vision, can solve the problems of inability to effectively detect text environment, interference, etc., achieve the effect of solving the difficulty of text detection, improving contrast, and reducing false detection rate

Active Publication Date: 2017-08-15
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

This method effectively solves the problem that the text cannot be effectively detected and is seriously disturbed by the environment in the complex railway scene, so as to realize the effective detection and accurate positioning of the text in the railway scene

Method used

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  • Railway scene text localization method based on combination of maximum stable extreme value region and stroke width
  • Railway scene text localization method based on combination of maximum stable extreme value region and stroke width
  • Railway scene text localization method based on combination of maximum stable extreme value region and stroke width

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Embodiment

[0048] A text positioning method for railway scenes based on the combination of MSER and stroke width, the method is as follows figure 1 shown in figure 2 Take the first frame sample in as an example to perform text positioning. The specific steps are as follows:

[0049] S1. Collect the images to be inspected, fix the digital camera acquisition device on the front windshield of the vehicle, and keep the viewing angle parallel to the ground to continuously collect the images to be inspected;

[0050] S2: Image preprocessing: convert the original image (a) into a grayscale image, and use the local histogram equalization algorithm to enhance the contrast of the grayscale image to obtain the image (b);

[0051] S3. Obtain the maximum extreme value stable area of ​​the whole image: By binarizing the grayscale image with thresholds from 0 to 255, some areas will remain stable in a certain range of threshold changes during the threshold change process. The stable region is the ma...

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Abstract

The invention, which belongs to the technical field of computer vision and particularly relates to text localization study in a complex scene, discloses a railway scene text localization method based on combination of a maximum stable extreme value region and a stroke width. On the basis of an improved histogram equalization algorithm, an original image is preprocessed, so that the contrast of an image can be improved effectively; and with an MSER algorithm, a weak target area in a railway scene is detected and a non-text area is removed based on a stroke width feature of a character, so that the false drop rate is reduced and thus problems of difficult text detection in the railway scene and difficult realization of accurate text localization can be solved. The method has the following advantages: a block sliding window search strategy is employed based on the spatial structure characteristic of the text line, so that the computational complexity can be reduced. The method can be applied to a complex railway character localization scene.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to the research on text positioning in complex scenes. Background technique [0002] Text positioning refers to the precise positioning of the text in the scene image. It is the basis and premise of obtaining text information in the scene image, and it is also a key component of Optical Character Recognition. Therefore, the text positioning algorithm is used as the current As one of the research hotspots in the field of computer vision, it has always been valued by researchers, and has a wide range of applications in character segmentation and recognition of paper documents, and location recognition of license plate numbers. [0003] Nowadays, the text positioning algorithms in simple scenes have excellent performance, especially the text positioning applications with single background and clean artificial documents, basically have a positioning accuracy rate of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/34G06K9/36
CPCG06V20/63G06V10/267G06V10/273G06V10/20
Inventor 崔国龙陈树东黎明熊丁丁黄华宾曾冬冬顾钦孔令讲
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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