METHOD AND APPARATUS FOR PROCESSING GRAPHIC SYMBOL AND COMPUTER-READABLE STORAGE MEDIUM

1 . A method for processing graphic symbol, comprising:

obtaining a luminance component image of a to-be-processed image;

performing binarization processing based on the luminance component image of the to-be-processed image to obtain a binarized image; and

performing a grayscale morphological operation based on the binarized image to obtain a target image;

wherein the to-be-processed image has a graphic symbol.

2 . The method according to claim 1 , wherein the obtaining a luminance component image of a to-be-processed image comprises:

converting a color space of the to-be-processed image to a target color space according to a mapping relationship between the color space of the to-be-processed image and the target color space; and

extracting a luminance component image of the target color space to obtain the luminance component image of the to-be-processed image.

3 . The method according to claim 2 , wherein the color space of the to-be-processed image is RGB color space or BGR color space, and the target color space is YCbCr color space, YCrCb color space, or YUV color space.

4 . The method according to claim 2 , wherein the mapping relationship between the color space of the to-be-processed image and the target color space is shown in the following formula:

Y=k r R+k g G+k b B;

wherein Y is the luminance value of a pixel in the luminance component image of the target color space, and R, G, and B are the red chromaticity value, green chromaticity value, and blue chromaticity value of the pixel in the to-be-processed image, respectively; and k r , k g , and k b are weighting factors and satisfy the following relationship:

k r +k g +k b =1.

5 . The method according to claim 1 , wherein before the performing binarization processing based on the luminance component image of the to-be-processed image, the method further comprises:

performing contrast stretching on the luminance component image of the to-be-processed image.

6 . The method according to claim 5 , wherein the performing contrast stretching on the luminance component image comprises:

traversing pixels in the luminance component image of the to-be-processed image, and determining grayscale values of all of the pixels in the luminance component image of the to-be-processed image;

determining a contrast stretching function based on a grayscale range in which the grayscale values of all of the pixels in the luminance component image of the to-be-processed image fall; and

performing grayscale transformation on the pixels in the luminance component image of the to-be-processed image based on the contrast stretching function.

7 . The method according to claim 1 , wherein the performing binarization processing based on the luminance component image comprises:

performing binarization processing on the luminance component image of the to-be-processed image using a local adaptive binarization algorithm.

8 . The method according to claim 7 , wherein the performing binarization processing on the luminance component image using a local adaptive binarization algorithm comprises:

determining a size of a binarization processing window;

traversing all pixels in the luminance component image of the to-be-processed image using the binarization processing window;

determining a grayscale threshold to be covered by the binarization processing window; and

under the condition that a sum of the pixel values of all of the pixels in the luminance component image of the to-be-processed image is greater than or equal to the grayscale threshold, setting a pixel value of a pixel corresponding to the center of the binarization processing window to 1; otherwise setting the pixel value of the pixel corresponding to the center of the binarization processing window to 0.

9 . The method according to claim 8 , wherein the grayscale threshold is determined according to the following formula:

T

=

1

n

2

⁢

∑

i

=

0

i

=

n

-

1

∑

j

=

0

j

=

n

-

1

v

ij

-

C

wherein T is the grayscale threshold, n is a length of a side of the binarization processing window, v ij is the grayscale value of the pixel in the i-th row and j-th column in the binarization processing window, and C is a constant term.

10 . The method according to claim 1 , wherein before the performing a grayscale morphological operation based on the binarized image, the method further comprises:

performing edge-preserving filtering on the binarized image.

11 . The method according to claim 1 , wherein the performing a grayscale morphological operation based on the binarized image comprises:

performing morphological closing and opening operations on the binarized image in sequence.

12 . The method according to claim 11 , wherein the closing operation comprises:

selecting a first structural element based on the binarized image; and

performing expansion processing and erosion processing on a closing operation region in the binarized image sequentially according to the first structural element and a predetermined closing operation rule; and

the opening operation comprises:

selecting a second structural element based on the closing-operated image; and

performing erosion processing and expansion processing on an opening operation region in the binarized image sequentially according to the second structural element and a predetermined opening operation rule.

13 . The method according to claim 1 , wherein the graphic symbol in the to-be-processed image is a quick code or a bar code.

14 . An apparatus for processing graphic symbol, comprising:

an obtaining module, configured to obtain a luminance component image of a to-be-processed image;

a binarization processing module, configured to perform binarization processing based on the luminance component image of the to-be-processed image to output a binarized image; and

an operation module, configured to perform a grayscale morphological operation based on the binarized image to output a target image;

wherein the to-be-processed image has a graphic symbol.

15 . An apparatus for processing graphic symbol, comprising a processor and a memory, wherein the memory is configured to store a program, and the processor is configured to call and run the program from the memory so as to perform the method for processing graphic symbol according to claim 1 .

16 . A computer-readable storage medium, wherein a computer program is stored in the medium; and when the computer program runs on a computer, the computer is caused to perform the method for processing graphic symbol according to claim 1 .