CN108596993B - System and method for correcting unsaturated artifacts of images - Google Patents
System and method for correcting unsaturated artifacts of images Download PDFInfo
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- CN108596993B CN108596993B CN201810159709.4A CN201810159709A CN108596993B CN 108596993 B CN108596993 B CN 108596993B CN 201810159709 A CN201810159709 A CN 201810159709A CN 108596993 B CN108596993 B CN 108596993B
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Abstract
The invention provides a system and a method for correcting unsaturated artifacts of an image, which comprises the following steps: acquiring a first image and a second image, marking pixel points with gray values exceeding a first set gray in the first image, and marking pixel points with gray values exceeding a second set gray in the second image; if the first image and the second image both have mark points, setting the pixel gray values of all the mark points in the first image and the second image as third set gray output to realize gray truncation so as to correct unsaturated artifacts; and if the first image or the second image does not have the mark point, not performing gray level truncation. The invention achieves the purpose of eliminating the image unsaturated artifact and improves the image quality on the basis of not increasing the cost of the existing hardware, and meanwhile, the invention has high integration, great flexibility and wide application range.
Description
Technical Field
The invention relates to the field of X-ray flat panel detectors, in particular to a system and a method for correcting unsaturated artifacts of an image.
Background
The amorphous silicon X-ray flat panel detector converts X-rays into visible light through a scintillator, realizes photoelectric conversion through an amorphous silicon sensor, digitalizes the visible light through a reading circuit, and transmits the digital image to a computer terminal to form a displayable digital image. The amorphous selenium X-ray flat panel detector directly performs photoelectric conversion on X-rays, and the digital conversion mode is the same as that of an amorphous silicon flat panel. The images of such digital flat panel detectors all have displayable gray-scale limit values (saturation values). In practical use, under the condition of high-dose shooting, a non-object region in an obtained image presents a saturated gray value, but a phenomenon that the gray value of some regions is lower than the saturated value is generated, and the phenomenon is called as unsaturated artifact. The actual image is represented by scattered distribution of saturated pixels and unsaturated pixels, or obvious gray scale boundary, namely Read channel difference, can also appear between channels (Read channels) for reading data in an unsaturated artifact area. When the artifact is shot at high dose, the artifact appears frequently, the visual effect of the image is seriously influenced, and the image quality is reduced.
Currently, the basic processing method for the unsaturated artifact under high dose is gray level truncation (Clipping), i.e. determining the gray level of the image pixels, and setting all the gray level values to a set value when the gray level exceeds the set value. As shown in fig. 1, step S11, start the exposure collection process, the detector prepares to open the window to collect the exposure, and the original bright field image is obtained after emptying, waiting, exposing and collecting; step S12, starting a correction flow to obtain a corrected image; step S13, after the image correction process is finished, the gray value of the image is judged once; in step S14, if the image exceeds the set value, the image is set to the set value, and the gradation value is cut off to obtain the final target image.
However, by doing this only once for the grey scale truncation, under certain critical doses the image still suffers from desaturation artifacts. Moreover, when the set gray cutoff value is high, unsaturated artifacts still occur in the image under high dose because the sensitivity enters a nonlinear region; when the set gray cutoff value is low, although the problem of unsaturated artifacts is basically solved, some pixel points lower than the cutoff value appear in the image at a certain critical dose, and the gray cutoff value needs to be continuously reduced, so that the dynamic range of the detector is greatly reduced, and the clinical use of the detector is limited to a certain extent.
Therefore, how to completely and effectively eliminate the unsaturated artifacts of the image under high dose while ensuring the dynamic range of the detector has become one of the problems to be solved by those skilled in the art.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention provides a system and a method for correcting image desaturation artifacts, which are used to solve the problem of reducing the dynamic range of the detector when desaturation artifacts are eliminated in the prior art.
To achieve the above and other related objects, the present invention provides a method for correcting an image desaturation artifact, which at least includes:
acquiring a first image and a second image, marking pixel points with the gray value exceeding a first set gray in the first image, and marking pixel points with the gray value exceeding a second set gray in the second image; wherein the first image and the second image are images of the same object at different processing stages;
if the first image and the second image both have mark points, setting the gray values of the pixel points of all the mark points in the first image and the second image as third set gray output, and realizing gray truncation to correct unsaturated artifacts; and if the first image or the second image does not have the mark point, not performing gray level truncation.
Preferably, the first image is an original image, and the second image is a corrected image after any one or two or three of compensation correction, gain correction and defect correction.
Preferably, the first image and the second image are respectively images after different corrections, and the correction manner includes any one or two or three of compensation correction, gain correction and defect correction. .
Preferably, the first image is a corrected image after any one or two or three of compensation correction, gain correction and defect correction, and the second image is an image after internal image processing of the flat panel detector.
More preferably, the first set gradation is set to 80% to 100% of a saturation gradation value of the analog-to-digital converter.
More preferably, the second set gray level is not greater than the maximum gray level in the linear region of the flat panel detector sensitivity.
More preferably, the first set gradation is larger than the second set gradation.
More preferably, the first set gradation is larger than the second set gradation, and the third set gradation is larger than the larger one of the first set gradation and the second set gradation.
More preferably, the third set gradation is one of the first set gradation or the second set gradation.
Preferably, the method for correcting the image undersaturation artifact is implemented inside a flat panel detector.
More preferably, the gray level truncation is realized at the background software end, so as to obtain the image after unsaturated artifact correction
To achieve the above and other related objects, the present invention provides a system for correcting image undersaturation artifact, comprising at least:
the device comprises a control module, an acquisition module, a correction module, a judgment module, a gray level truncation processing module and an image output module;
the control module is connected with the acquisition module, the correction module, the judgment module, the gray level truncation processing module and the image output module and is used for controlling the modules;
the acquisition module finishes image acquisition under the control of the control module;
the correction module is connected with the output end of the acquisition module and is used for correcting the acquired image;
the judging module is connected with the output ends of the collecting module and the correcting module, marks pixel points with gray values exceeding a first set gray level in a first image under the control of the control module, marks pixel points with gray values exceeding a second set gray level in a second image, judges whether the first image and the second image have marks or not and outputs a judging result; the first image and the second image are images of the same object at different processing stages;
the gray level truncation processing module is connected with the output ends of the correction module and the judgment module, and performs gray level truncation on an output image according to the judgment result to realize unsaturated artifact correction;
the image output module is connected with the output end of the gray level truncation processing module and outputs the image with the unsaturated artifact corrected.
Preferably, the correction module comprises one or more of a compensation correction unit, a gain correction unit or a defect correction unit.
More preferably, the first image is an original image acquired by the acquisition module, and the second image is a corrected image output by the correction module.
More preferably, the first image is a corrected image output by the correction module, and the second image is an image processed by an internal image of the flat panel detector.
Preferably, the first image and the second image are respectively images output by the correction module after different corrections, and the correction mode includes any one or two or three of compensation correction, gain correction and defect correction.
As described above, the system and the method for correcting image saturation artifacts according to the present invention have the following advantages:
the system and the method for correcting the image unsaturated artifact achieve the aim of eliminating the image unsaturated artifact on the basis of not increasing the cost of the existing hardware, improve the image quality, and have the advantages of high integration, high flexibility and wide application range.
Drawings
Fig. 1 shows a schematic flow chart of a method for eliminating an unsaturated artifact in the prior art.
Fig. 2 is a schematic diagram illustrating an embodiment of a method for correcting an image desaturation artifact according to the present invention.
Fig. 3 is a schematic diagram illustrating another embodiment of the method for correcting an image desaturation artifact according to the present invention.
Fig. 4 is a schematic diagram illustrating a method for correcting an image desaturation artifact according to another embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a system for correcting image desaturation artifacts according to the present invention.
Description of the element reference numerals
1 control module
2 acquisition module
3 correction module
4 judging module
5 grey level truncation processing module
6 image output module
S11-S14
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention.
Please refer to fig. 2 to 5. It should be noted that the drawings provided in the present embodiment are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Example one
As shown in fig. 2, the present embodiment provides a method for correcting an image saturation artifact, where the method for correcting an image saturation artifact includes:
the method comprises the steps of obtaining a first image and a second image, marking pixel points with the gray value exceeding a first set gray level in the first image, and marking pixel points with the gray value exceeding a second set gray level in the second image.
Specifically, in the present embodiment, the first image is an original image, and the second image is a corrected image after compensation correction (offset), Gain correction (Gain), and Defect correction (Defect).
More specifically, an exposure acquisition process is started, and a flat panel detector acquires a bright field image as the original image; then, a correction process is started, and compensation correction, gain correction and defect correction (the correction sequence is not limited) are performed on the original image to obtain the corrected image. Marking pixel points with gray values exceeding a first set gray (clipping1) in the original image to obtain a first search mark, wherein the first search mark is a coordinate set { (xi, yi) } of the pixel points with the gray values larger than the first set gray; in this embodiment, the first set gray level is set to 80% to 100% of the saturation gray level of the analog-to-digital converter in the flat panel detector, and the first set gray level (clipping1) may be set according to the actual acquisition timing and the correction method, which is not limited in this embodiment. Marking pixel points with gray values exceeding a second set gray (clipping2) in the corrected image to obtain second search marks, wherein the second search marks are coordinate sets { (xj, yj) } of the pixel points with the gray values larger than the second set gray; in this embodiment, the second set gray level is smaller than the first set gray level, the second set gray level is close to the maximum gray level in the linear region of the sensitivity of the flat panel detector, but not larger than the maximum gray level in the linear region of the sensitivity of the flat panel detector, and the image in the linear region exceeding the sensitivity of the flat panel detector has a difference in the read data channel. In actual shooting, when the second search mark is set as the maximum gray level in the linear region of the sensitivity of the flat panel detector, the image may still have unsaturated artifacts (saturated pixels and unsaturated pixels are scattered) under certain critical doses, at this time, the value of the first set gray level can be reduced, and it is ensured that pixels close to but smaller than the second set gray level in the corrected image are marked, the values of the first set gray level and the second set gray level can be the same or different, and appropriate values are set according to actual needs.
It should be noted that the image correction method includes, but is not limited to, compensation correction, gain correction, and defect correction, and any image correction method is applicable to this embodiment.
It should be noted that the second image may be a corrected image after any one or two or three of compensation correction, gain correction and defect correction, and is not limited in this embodiment.
If the first image and the second image both have mark points, setting the pixel gray values of all the mark points in the first image and the second image as third set gray output to realize gray truncation so as to correct unsaturated artifacts; and if the first image or the second image does not have the mark point, not performing gray level truncation.
Specifically, counting the number of mark points in the first image and the second image, and if mark points exist in both the first image and the second image, setting the gray values of pixel points corresponding to all the mark points in the first image and the second image to be a third set gray (clipping3) and then outputting the third set gray (clipping3) to realize gray truncation; if no mark point exists in the first image or the second image (no mark point exists in one of the first image and the second image or no mark point exists in the first image and the second image), the gray value of the pixel point is not changed, and the gray value is directly output; and finally obtaining an image after unsaturated artifact correction.
In this embodiment, the third setting gray scale is the first setting gray scale or the second setting gray scale, and further, the third setting gray scale is larger than the larger one of the first setting gray scale and the second setting gray scale.
It should be noted that, the third set gray level may also be smaller than the first set gray level and the second set gray level, and theoretically, 1) the gray level in the original image is larger than the first set gray level, and 2) the gray level in the corresponding corrected image is larger than the second set gray level, the gray level of the pixel point may be truncated, which is not limited in this embodiment.
It should be noted that, the gray scale of the corrected image may be cut off, or the gray scale of the final image after further image processing may be cut off to output the image after the saturation artifact correction, which is not limited in this embodiment.
It should be noted that, in this embodiment, the method for correcting the image desaturation artifact is implemented inside the flat panel detector.
Example two
As shown in fig. 3, the present embodiment provides a method for correcting an image desaturation artifact, which is different from the first embodiment in that the first image is a first corrected image, and the second image is a second corrected image.
Specifically, the method of acquiring the first corrected image and the second corrected image includes: and starting an exposure acquisition process, acquiring a bright field image by using a flat panel detector, then starting a correction process, and performing first correction and second correction on the bright field image to obtain a first correction image and a second correction image. In this embodiment, the first corrected image is an image of the bright-field image after compensation correction, and the second corrected image is an image of the bright-field image after compensation correction and defect correction.
It should be noted that the first corrected image and the second image are respectively images after different corrections, the correction manner includes one or two or three of compensation correction, gain correction and defect correction, which is not limited in this embodiment, and other correction methods are also included.
Other steps and methods are similar to those of the embodiments and are not repeated herein.
EXAMPLE III
As shown in fig. 4, the present invention further provides a method for correcting an image desaturation artifact, which is different from the first embodiment in that the first image is a corrected image, and the second image is an image to be output after all images in the partial flat panel detector are processed.
Specifically, the method for acquiring the corrected image and the image to be output includes: starting an exposure acquisition process, acquiring a bright field image by a flat panel detector, then starting a correction process, and correcting the bright field image to obtain a corrected image; and further carrying out image processing on the corrected image to obtain the image to be output. The corrected image includes, but is not limited to, an image after any one or two or three of compensation correction, gain correction and defect correction. The image to be output includes, but is not limited to, correction, denoising, enhancement, restoration, segmentation, feature extraction, and the like, and is not limited to this embodiment.
Example four
The invention also provides a method for correcting the image unsaturated artifact, which is different from the first embodiment in that the step of realizing gray level truncation is executed in background software.
Specifically, a first image and a second image are obtained in the flat panel detector, and the first image and the second image are marked to obtain a first search mark and a second search mark. The background software obtains the first image, the second image, the first search mark and the second search mark, and determines whether both the first image and the second image have marks, and then takes a gray scale truncation measure, which is not repeated herein.
It should be noted that the first image and the second image are images of the same object in different processing stages, and images in any processing stage are all applicable to the present invention, and are not limited to the embodiments listed in the first to fourth embodiments.
EXAMPLE five
As shown in fig. 5, the present embodiment provides a system for correcting an image saturation artifact, where the system for correcting an image saturation artifact includes:
the device comprises a control module 1, an acquisition module 2, a correction module 3, a judgment module 4, a gray level truncation processing module 5 and an image output module 6.
As shown in fig. 5, the control module 1 is connected to the acquisition module 2, the correction module 3, the judgment module 4, the gray level cut-off processing module 5, and the image output module 6, and is configured to control each module.
Specifically, the control module 1 outputs various control signals to control the modules to complete the unsaturated artifact correction. In this embodiment, the control module 1 is disposed in an FPGA (Field-Programmable Gate Array) or an ARM processor (Advanced RISC Machines).
As shown in fig. 5, the acquisition module 2 is connected to the control module 1, and the image acquisition is completed under the control of the control module 1.
Specifically, the acquisition module 2 obtains an original bright field image through emptying, waiting, exposing and acquiring.
As shown in fig. 5, the correction module 3 is connected to the control module 1 and the acquisition module 2, and is configured to perform correction processing on the acquired image.
Specifically, the correction module 3 receives the original bright-field image output by the acquisition module 2, and performs image correction on the original bright-field image under the control of the control module 1 to obtain a corrected image. The correction module 3 includes, but is not limited to, a compensation correction unit, a gain correction unit and a defect correction unit, and any unit capable of realizing image correction is suitable for the correction module 3 of the present invention, and is not limited to this embodiment.
As shown in fig. 5, the judgment module 4 is connected to the control module 1, the acquisition module 2 and the correction module 3, and is configured to perform a mark search and gray level truncation judgment.
Specifically, the control module 1 controls the judging module 4 to compare the gray value of each pixel point in the original bright-field image with a first set gray value, and marks the pixel points exceeding the first set gray value to obtain a first search mark.
Specifically, the control module 1 controls the judgment module 4 to compare the gray value of each pixel point in the corrected image with a second set gray value, and marks the pixel points exceeding the second set gray value to obtain a second search mark.
Specifically, the control module 1 controls the judging module 4 to judge whether a mark exists in both the first image and the second image and output a judgment result.
It should be noted that the image for acquiring the search mark may be an original image and a corrected image (an image after any one or two or three of compensation correction, gain correction and defect correction) listed in this embodiment; the image is a corrected image (an image after any one or two or three items of compensation correction, gain correction and defect correction) and an image after internal image processing of the flat panel detector; or the first corrected image and the second corrected image after different corrections are performed, wherein the correction mode comprises any one or two or three of compensation correction, gain correction and defect correction; the images of the same object at different processing stages are all suitable for the present invention, and are not limited to this embodiment.
As shown in fig. 5, the grayscale truncation processing module 5 is connected to the control module 1, the correction module 3, and the determination module 4, and performs grayscale truncation on an output image according to the determination result to correct an unsaturated artifact.
Specifically, the grayscale truncation processing module 5 obtains the determination result from the determination module 4, and if mark points exist in both the first image and the second image, sets the grayscale values of the pixel points corresponding to all the mark points in the first image and the second image to be a third set grayscale (clipping3) and outputs the third set grayscale (clipping3) to realize grayscale truncation; if no mark point exists in the first image or the second image (no mark point exists in one of the first image and the second image or no mark point exists in the first image and the second image), the gray value of the pixel point is not changed, and the gray value is directly output.
As shown in fig. 5, the image output module 6 is connected to the control module 1 and the grayscale truncation processing module 5, and outputs an image with the saturation artifact correction completed.
The method comprises the steps of marking pixels which really exceed a certain gray value by making a first search mark on an uncorrected original image; then, the corrected image is subjected to second searching and marking, and pixel points exceeding another set gray value after correction are marked; and then judging the results of the two marks, performing gray level truncation processing on the final image, and outputting the image. The invention can ensure the dynamic range of the detector and more comprehensively and effectively eliminate the unsaturated artifacts of the image under high dose; on the basis of not increasing the cost of the existing hardware, the purpose of eliminating the unsaturated artifacts of the image is achieved, and the image quality is improved; the system has high integration, flexibility and wide application range.
In summary, the present invention provides a system and a method for correcting an image saturation artifact, including: acquiring a first image and a second image, marking pixel points with gray values exceeding a first set gray in the first image, and marking pixel points with gray values exceeding a second set gray in the second image; wherein the first image and the second image are images of the same object at different processing stages; if the first image and the second image both have mark points, setting the pixel gray values of all the mark points in the first image and the second image as third set gray values to be output, and realizing gray truncation to correct unsaturated artifacts; and if the first image or the second image does not have the mark point, not performing gray level truncation. The invention achieves the purpose of eliminating the image unsaturated artifact and improves the image quality on the basis of not increasing the cost of the existing hardware, and meanwhile, the invention has high integration, great flexibility and wide application range. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (16)
1. A method for correcting an image unsaturated artifact is characterized by at least comprising the following steps:
acquiring a first image and a second image, marking pixel points with gray values exceeding a first set gray in the first image, and marking pixel points with gray values exceeding a second set gray in the second image; wherein the first image and the second image are images of the same object at different processing stages;
if the first image and the second image both have mark points, setting the pixel gray values of all the mark points in the first image and the second image as third set gray output to realize gray truncation so as to correct unsaturated artifacts; and if the first image or the second image does not have the mark point, not performing gray level truncation.
2. The method for correcting image desaturation artifacts according to claim 1, characterized in that: the first image is an original image, and the second image is a corrected image after any one or two or three of compensation correction, gain correction and defect correction.
3. The method for correcting image desaturation artifacts according to claim 1, characterized in that: the first image and the second image are respectively images after different corrections, and the correction mode comprises any one or two or three of compensation correction, gain correction and defect correction.
4. The method for correcting image desaturation artifacts according to claim 1, characterized in that: the first image is a corrected image after any one or two or three items of compensation correction, gain correction and defect correction, and the second image is an image processed by an internal image of the flat panel detector.
5. The method for correcting image unsaturation artifact according to any of claims 1-4, characterized in that: the first set gray level is set to 80% -100% of the saturation gray level of the analog-to-digital converter.
6. The method for correcting the image unsaturated artifact according to any one of claims 1 to 4, characterized in that: the second set gray level is not greater than the maximum gray level value in the linear region of the sensitivity of the flat panel detector.
7. The method for correcting image unsaturation artifact according to any of claims 1-4, characterized in that: the first set gradation is larger than the second set gradation.
8. The method for correcting the image unsaturated artifact according to any one of claims 1 to 4, characterized in that: the third set gradation is larger than a larger one of the first set gradation and the second set gradation.
9. The method for correcting the image unsaturated artifact according to any one of claims 1 to 4, characterized in that: the third set gray is one of the first set gray or the second set gray.
10. The method for correcting image desaturation artifacts according to claim 1, characterized in that: the correction method of the image unsaturated artifact is realized inside a flat panel detector.
11. The method for correcting image desaturation artifacts according to claim 10, characterized in that: and (4) realizing gray level truncation at a background software end so as to obtain an image corrected by unsaturated artifacts.
12. A system for correcting image desaturation artifacts, the system comprising:
the device comprises a control module, an acquisition module, a correction module, a judgment module, a gray level truncation processing module and an image output module;
the control module is connected with the acquisition module, the correction module, the judgment module, the gray level truncation processing module and the image output module and is used for controlling the modules;
the acquisition module finishes image acquisition under the control of the control module;
the correction module is connected with the output end of the acquisition module and is used for correcting the acquired image;
the judging module is connected with the output ends of the collecting module and the correcting module, marks pixel points with gray values exceeding a first set gray level in a first image under the control of the control module, marks pixel points with gray values exceeding a second set gray level in a second image, judges whether the first image and the second image have marks or not and outputs a judging result; the first image and the second image are images of the same object at different processing stages;
the gray level truncation processing module is connected with the output ends of the correction module and the judgment module, and performs gray level truncation on an output image according to the judgment result to realize unsaturated artifact correction;
the image output module is connected with the output end of the gray level truncation processing module and outputs the image with the unsaturated artifact corrected.
13. The system for correcting image desaturation artifacts of claim 12, wherein: the correction module comprises one or more of a compensation correction unit, a gain correction unit or a defect correction unit; the compensation correction unit is used for performing compensation correction on the image, the gain correction unit is used for performing gain correction on the image, and the defect correction unit is used for performing defect correction on the image.
14. The system for correcting image desaturation artifacts according to claim 12 or 13, characterized by: the first image is an original image acquired by the acquisition module, and the second image is a corrected image output by the correction module.
15. The system for correcting image desaturation artifacts according to claim 12 or 13, characterized by: the first image is a corrected image output by the correction module, and the second image is an image processed by an internal image of the flat panel detector.
16. The system for correcting image desaturation artifacts of claim 12, wherein: the first image and the second image are respectively images which are output by the correction module and subjected to different corrections, and the correction mode comprises any one or two or three of compensation correction, gain correction and defect correction.
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