Decoding method and system for ultra-low-contrast two-dimension code
A decoding method and two-dimensional code technology, applied in the direction of electromagnetic radiation induction, etc., can solve the problems of poor image processing effect, inability to separate the two-dimensional code graphics from the background, etc., and achieve the effect of good processing effect.
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Embodiment 1
[0036] figure 1 It is a flow chart of the decoding method of the ultra-low contrast two-dimensional code in this embodiment, and the decoding method of the ultra-low contrast two-dimensional code comprises the following steps:
[0037] 1) Establish the integral image of the original image of the two-dimensional code, and use the integral image to perform adaptive binarization on the original image of the two-dimensional code;
[0038] 2) Perform median filtering and denoising on the original image of the two-dimensional code after binarization;
[0039] 3) Locate the original image of the QR code after denoising;
[0040] 4) Error detection, error correction and decoding of the extracted binary series.
[0041] Any point (x, y) of the integral image in step 1) represents the sum of the gray levels of all points in the rectangular area formed by the point from the upper left corner of the original image, namely
[0042]
[0043] in, Represents the integral image, and i(...
Embodiment 2
[0056] The difference between the decoding method of the ultra-low contrast two-dimensional code in this embodiment and embodiment 1 is that in this embodiment, the implementation of the integral image of the original image of the two-dimensional code in step 1) is optimized, and this implementation method can It greatly saves the memory resources of the device and improves the operating efficiency of the device.
[0057] The establishment of the integral image of the original image of the two-dimensional code is realized through the following steps:
[0058] i. Create two new arrays, the array width is the same as the width of the original image of the QR code;
[0059] ii. When processing the pixel point (x, y), in the two arrays in step i, respectively record the y-s-1th row and the y+sth row of the integral image, where s is an integer;
[0060] iii. Use the following formula to calculate the sum of pixels in the window area (2s+1)×(2s+1) of the pixel point (x, y), the fo...
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