Method and system for displaying x-ray image, x- ray machine, and storage medium

1 . A method for displaying an X-ray image, comprising:

obtaining a captured current image of a target region;

determining at least one to-be-optimized region in the current image, comprising:

detecting whether a to-be-optimized region exists in the current image by detecting a pixel having a brightness value less than a preset brightness threshold in the current image to obtain an underexposed pixel and, when a quantity of underexposed pixels reaches a preset quantity threshold, (i) determining that a to-be-optimized underexposed dark region exists in the current image, and (ii) determining a to-be-optimized region corresponding to the underexposed dark region based on a distribution of the underexposed pixels, and

determining each detected to-be-optimized region as a to-be-optimized region in the current image; and

for each to-be-optimized region:

obtaining a maximum grayscale value and a minimum grayscale value in the to-be-optimized region;

determining a window width and a window level for the to-be-optimized region according to the maximum grayscale value and the minimum grayscale value by:

using a difference between the maximum grayscale value and the minimum grayscale value as the window width for the to-be-optimized region; and

using (i) an average value of the maximum grayscale value and the minimum grayscale value, or (ii) an average value of all pixels in the to-be-optimized region, as the window level for the to-be-optimized region; and

displaying the current image based on the window width and the window level.

2 . The method according to claim 1 , wherein the detecting whether a to-be-optimized region exists in the current image and determining each detected to-be-optimized region as a to-be-optimized region in the current image further comprises:

detecting a pixel having a brightness value greater than a preset further brightness threshold in the current image to obtain an overexposed pixel;

when a quantity of overexposed pixels reaches a preset further quantity threshold:

determining that a to-be-optimized overexposed bright region exists in the current image;

determining a to-be-optimized region corresponding to the overexposed bright region based on a distribution of the overexposed pixels.

3 . The method according to claim 2 , wherein the preset brightness threshold is less than or equal to the preset further brightness threshold.

4 . The method according to claim 1 , wherein the determining the at least one to-be-optimized region in the current image comprises obtaining at least one to-be-optimized region that has been manually selected by a user from the current image.

5 . The method according to claim 1 , wherein detecting whether a to-be-optimized region exists in the current image is performed based on a histogram.

6 . The method according to claim 1 , wherein determining the to-be-optimized region corresponding to the underexposed dark region comprises using an image gradient calculation algorithm to detect an edge of the underexposed dark region and fitting a boundary of the underexposed dark region using an edge curve.

7 . A system for displaying an X-ray image, comprising:

first processing circuitry configured to obtain a captured current image of a target region;

second processing circuitry configured to determine at least one to-be-optimized region in the current image by:

detecting whether a to-be-optimized region exists in the current image by detecting a pixel having a brightness value less than a preset brightness threshold in the current image to obtain an underexposed pixel, and, when a quantity of underexposed pixels reaches a preset quantity threshold, (i) determining that a to-be-optimized underexposed dark region exists in the current image, and (in) determining a to-be-optimized region corresponding to the underexposed dark region based on a distribution of the underexposed pixels; and

determining each detected to-be-optimized region as a to-be-optimized region in the current image; and

third processing circuitry configured to, for each to-be-optimized region:

obtain a maximum grayscale value and a minimum grayscale value in the to-be-optimized region;

determine a window width and a window level for the to-be-optimized region according to the maximum grayscale value and the minimum grayscale value by:

using a difference between the maximum grayscale value and the minimum grayscale value as the window width for the to-be-optimized region; and

using (i) an average value of the maximum grayscale value and the minimum grayscale value, or (ii) an average value of all pixels in the to-be-optimized region, as the window level for the to-be-optimized region; and

display the current image based on the window width and the window level.

8 . The system according to claim 7 , wherein the second processing circuitry is further configured to:

detect a pixel having a brightness value greater than a preset further brightness threshold in the current image to obtain an overexposed pixel;

when a quantity of overexposed pixels reaches a preset first-further quantity threshold:

determine that a to-be-optimized overexposed bright region exists in the current image; and

determine a to-be-optimized region corresponding to the overexposed bright region based on a distribution of the overexposed pixels.

9 . The system according to claim 8 , wherein the preset brightness threshold is less than or equal to the preset further brightness threshold.

10 . The system according to claim 7 , wherein the second processing circuitry is configured to:

obtain at least one to-be-optimized region that is manually selected by a user from the current image; and

determine the at least one to-be-optimized region as at least one to-be-optimized region in the current image.

11 . The system according to claim 7 , wherein the system is part of an X-ray machine.

12 . The system according to claim 7 , wherein the second processing circuitry is configured to detect whether a to-be-optimized region exists in the current image based on a histogram.

13 . The system according to claim 7 , wherein the second processing circuitry is configured to determine the to-be-optimized region corresponding to the underexposed dark region by using an image gradient calculation algorithm to detect an edge of the underexposed dark region and fitting a boundary of the underexposed dark region using an edge curve.

14 . A non-transitory computer-readable storage medium on which a computer program is stored that, when executed by a processor, cause an X-ray image to be displayed by:

obtaining a captured current image of a target region;

determining at least one to-be-optimized region in the current image by:

detecting whether a to-be-optimized region exists in the current image by detecting a pixel having a brightness value less than a preset brightness threshold in the current image to obtain an underexposed pixel, and, when a quantity of underexposed pixels reaches a preset quantity threshold, determining that a to-be-optimized underexposed dark region exists in the current image, and determining a to-be-optimized region corresponding to the underexposed dark region based on a distribution of the underexposed pixels; and

determining each detected to-be-optimized region as a to-be-optimized region in the current image; and

for each to-be-optimized region:

obtaining a maximum grayscale value and a minimum grayscale value in the to-be-optimized region;

determining a window width and a window level for the to-be-optimized region according to the maximum grayscale value and the minimum grayscale value by:

using a difference between the maximum grayscale value and the minimum grayscale value as the window width for the to-be-optimized region; and

using (i) an average value of the maximum grayscale value and the minimum grayscale value, or (ii) an average value of all pixels in the to-be-optimized region, as the window level for the to-be-optimized region; and

displaying the current image based on the window width and the window level.

15 . The non-transitory computer-readable storage medium according to claim 14 , wherein the computer program, when executed by a processor, further causes the detection of whether the to-be-optimized region exists in the current image and the determination of each detected to-be-optimized region as a to-be-optimized region in the current image by:

detecting a pixel having a brightness value greater than a preset further brightness threshold in the current image to obtain an overexposed pixel; and

when a quantity of overexposed pixels reaches a preset further quantity threshold:

determining that a to-be-optimized overexposed bright region exists in the current image; and

determining a to-be-optimized region corresponding to the overexposed bright region based on a distribution of the overexposed pixels.

16 . The non-transitory computer-readable storage medium according to claim 15 , wherein the preset brightness threshold is less than or equal to the preset further brightness threshold.

17 . The non-transitory computer-readable storage medium according to claim 14 , wherein the computer program, when executed by a processor, further causes the at least one to-be-optimized region in the current image to be determined by obtaining at least one to-be-optimized region that has been manually selected by a user from the current image.

18 . The non-transitory computer-readable storage medium according to claim 14 , wherein the computer program, when executed by a processor, further causes the detection of whether a to-be-optimized region exists in the current image based on a histogram.

19 . The non-transitory computer-readable storage medium according to claim 14 , wherein the computer program, when executed by a processor, further causes the determination of a to-be-optimized region corresponding to the underexposed dark region by using an image gradient calculation algorithm to detect an edge of the underexposed dark region and fitting a boundary of the underexposed dark region using an edge curve.