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Two-dimensional barcode image binarization method based on wavelet and OTSU method

A technology of image binarization and two-dimensional barcodes, which is applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as poor effects, block effects, and unsatisfactory effects

Inactive Publication Date: 2011-05-18
TIANJIN JIAYU TECH DEV
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Problems solved by technology

Traditional binarization methods such as Otsu method, maximum entropy method, minimum error probability method, and iterative threshold method are all global threshold methods, which use a single threshold to binarize the entire image. For images with uneven illumination or complex backgrounds Ineffective
The local threshold method is better than the global threshold method when dealing with images with uneven illumination or complex backgrounds, but the calculation is large and there are block effects, so the effect is still not ideal.
Literature [1] proposes to use surface fitting technology to approach the background to eliminate the influence of light, but it is necessary to specify the background points for fitting in advance
Literature [2] proposes to use wavelet analysis to extract the low-frequency part of the image as a threshold for binarization to eliminate the influence of light, but the effect is not very good in the part where there is a large background

Method used

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  • Two-dimensional barcode image binarization method based on wavelet and OTSU method
  • Two-dimensional barcode image binarization method based on wavelet and OTSU method
  • Two-dimensional barcode image binarization method based on wavelet and OTSU method

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Embodiment Construction

[0028] The images that people see daily are generally obtained by measuring the light reflected from objects in the scene. The image represents the 2D brightness function formed by the reflected light on the surface of an object, set as f(x,y). Here f(x, y) represents the brightness of the image at a specific coordinate point (x, y) in space, so f(x, y) must be greater than 0 and a finite value, namely:

[0029] 0

[0030] f(x, y) is determined by two factors: one is the amount of light incident on the visible scene; the other is the ratio of the reflected light from objects in the scene. They can be represented by the illumination function i(x, y) and the reflection function r(x, y) respectively. The value of i(x, y) is determined by the light source, while the value of r(x, y) is determined by the characteristics of objects in the scene. f(x, y) is proportional to i(x, y) and r(x, y), so f(x, y) can be considered as multiplication of i(x, y) and r(x, y) Obtained ...

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Abstract

The invention relates to image binarization processing. In order to quickly realize image binarization generation and identification, the invention adopts the technical scheme that: a two-dimensional barcode image binarization method based on wavelet and an OTSU method comprises the following steps of: acquiring approximate distribution of imaging object surface illumination by using wavelet decomposition; then eliminating the influence of illumination non-uniformity by using the approximate distribution so that a whole image is approximately under uniform illumination; and finally, calculating an overall threshold value of the acquired image under the uniform illumination by using OTSU and implementing binarization. The method is mainly applied to image binarization processing.

Description

Technical field [0001] The present invention relates to image binarization processing, in particular to a two-dimensional bar code image binarization method based on wavelet and Otsu method. Background technique [0002] The two-dimensional barcode image binarization is directly related to the successful decoding. Due to the complex and changeable application environment of 2D barcodes, especially in industrial applications, it is often encountered with uneven lighting or very complex backgrounds. Traditional binarization methods such as Otsu method, maximum entropy method, minimum error probability method, and iterative threshold method are all global threshold methods, which use a single threshold to binarize the entire image, and for images with uneven illumination or complex backgrounds Ineffective. The local threshold method is better than the global threshold method when dealing with images with uneven illumination or very complex background, but the calculation is large ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/38
Inventor 王猛韩东
Owner TIANJIN JIAYU TECH DEV
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