Improving method for binaryzation of two-dimensional code image

Abstract

The invention discloses an improving method for the binaryzation of a two-dimensional code image, and the method comprises the steps: carrying out the preprocessing of the collected two-dimensional code image, and obtaining the preprocessed two-dimensional code image, wherein the preprocessing operation comprises the steps: setting the length of the two-dimensional code image as M and length as N, and carrying out the graying processing of the two-dimensional code image; carrying out the segmenting and marking of the preprocessed two-dimensional code image, and obtaining the segmented and marked two-dimensional code image; calculating the pixel value and a pixel value threshold of each block of the two-dimensional code image, representing the calculated and obtained pixel values through ave[a], and representing the pixel value threshold through Ta, wherein a represents the a-th block of the two-dimensional code image; carrying out the fusion of all blocks of the two-dimensional code image, and obtaining the complete two-dimensional code image. In the specific execution process, the method can achieve the better binaryzation of the two-dimensional code image obtained under the nonuniform light illumination, and obtains the better processing effect.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an improved method for binarizing a two-dimensional code image. Background technique [0002] Two-dimensional codes are widely used because of their advantages such as strong information storage capacity, convenient reading, and good confidentiality. During the recognition process of the two-dimensional code image, the image processed by the scanning head or the camera will inevitably have distortion, blur, tilt or uneven illumination, which will affect the reading effect. The existing image processing method is through image grayscale After binarization processing, the image is binarized. However, due to the wide variety of environments in which the two-dimensional code is used and the unbalanced lighting environment, when binarizing the image, it is often impossible to correct the binarization obtained in the unevenly illuminated and intersecting dark places. The two-...

AI Technical Summary

Problems solved by technology

During the recognition process of the two-dimensional code image, the image processed by the scanning head or the camera will inevitably have distortion, blur, tilt or uneven illumination, which will affect the reading effect. The existing image processing method is through image grayscale After binarization processing, the image is binarized. However, due to the wide variety of environments in which the two-dimensional code is used and the unbalanced lighting environment, when binarizing the image, it is often impossible to correct the binarization obtained in the unevenly illuminated and intersecting dark places. The two-dimensional code image is better binarized, so that it is often impossible to recognize the information of the two-dimensional code image in the subsequent recognition, or the information of the two-dimensional code image is misrecognized

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