CN113129239A - Image correction method, image correction device, electronic equipment and storage medium - Google Patents

Image correction method, image correction device, electronic equipment and storage medium Download PDF

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Publication number
CN113129239A
CN113129239A CN202110490435.9A CN202110490435A CN113129239A CN 113129239 A CN113129239 A CN 113129239A CN 202110490435 A CN202110490435 A CN 202110490435A CN 113129239 A CN113129239 A CN 113129239A
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correction
target
relative position
image
template
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CN202110490435.9A
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CN113129239B (en
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马艳歌
鄂永
崔凯
王汉禹
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Shanghai United Imaging Healthcare Co Ltd
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Shanghai United Imaging Healthcare Co Ltd
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    • G06T5/80
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10116X-ray image

Abstract

The embodiment of the invention discloses an image correction method, an image correction device, electronic equipment and a storage medium. The method comprises the following steps: the relative position of the flat plate and the bulb tube when the target image is collected is determined, the target correction template corresponding to the target image is determined from the at least two correction templates to be selected according to the relative position, the target image is corrected based on the target correction template, and the correction template is determined in real time according to the relative position of the flat plate, so that the image is corrected by automatically selecting the corresponding correction template when the relative position of the flat plate changes, the technical problem that the image uniformity is reduced due to the change of the position of the flat plate is solved, the image quality is greatly improved, and further, the diagnosis efficiency of the image is improved.

Description

Image correction method, image correction device, electronic equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of image processing, in particular to an image correction method, an image correction device, electronic equipment and a storage medium.
Background
With the rapid development of medical technology, digital radiography plays an important role in medical diagnosis and clinical treatment. However, in clinical practice, the digital radiography equipment is limited by the manufacturing process, and is very easy to generate the anode effect, i.e. the dose distribution of the radiation beam generated by the bulb in the digital radiography equipment is asymmetric on the cathode side and the anode side of the bulb.
In Digital Radiography (DR) equipment, orthopedic C-arm (often referred to as small C), and other products, the relative positions of the flat plate and the bulb are fixed. Therefore, based on the fixed relative position relationship between the flat plate and the bulb, gain correction can be performed for the specific relative angle, so that the dose distribution of the ray beam generated by the bulb is symmetrically distributed on the cathode side and the anode side, and the influence of the anode effect on the image quality is eliminated.
However, in the production of angiographic imaging devices (often referred to as large C), there are application scenarios where the position of the bulb is unchanged, while the plate is rotated, tilted or moved. In this case, after the flat panel is rotated, tilted or moved, for example, after the flat panel is rotated 90 degrees with respect to the bulb, if the gain correction is performed by using the fixed gain correction template, the uniformity of the image is reduced, and the quality of the image is affected. Therefore, the conventional digital radiography apparatus has a technical problem that image uniformity is reduced when the relative position of the flat plate and the bulb changes, such as the flat plate of a large C product rotates, the position of the flat plate changes when the DR apparatus moves, and the like, and the problem is particularly highlighted in the angiography imaging apparatus.
Disclosure of Invention
The embodiment of the invention provides an image correction method, which is used for determining a correction template of an image in real time according to the position of a flat plate, so that the technical problem of reduced image uniformity caused by the position change of the flat plate is solved.
In a first aspect, an embodiment of the present invention provides an image correction method, including:
acquiring a target image to be corrected, and determining the relative position of a flat plate and a bulb tube when the target image is acquired;
determining at least one target correction template corresponding to the target image from at least two correction templates to be selected based on the relative position;
and carrying out correction processing on the target image based on at least one target correction template. .
In a second aspect, an embodiment of the present invention further provides an image correction apparatus, including:
the image acquisition module is used for acquiring a target image to be corrected and determining the relative position of the flat plate and the bulb tube when the target image is acquired;
the template determining module is used for determining at least one target correction template corresponding to the target image from at least two correction templates to be selected based on the relative position;
and the image correction module is used for carrying out correction processing on the target image based on at least one target correction template.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement an image correction method as provided by any of the embodiments of the invention.
In a fourth aspect, the embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the image correction method according to any of the embodiments of the present invention.
The embodiment of the invention has the following advantages or beneficial effects:
the relative position of the flat plate and the bulb tube when the target image is collected is determined, the target correction template corresponding to the target image is determined from the at least two correction templates to be selected according to the relative position, the target image is corrected based on the target correction template, and the correction template is determined in real time according to the relative position of the flat plate, so that the image is corrected by automatically selecting the corresponding correction template when the relative position of the flat plate changes, the technical problem that the image uniformity is reduced due to the change of the position of the flat plate is solved, the image quality is greatly improved, and further, the image diagnosis efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, a brief description is given below of the drawings used in describing the embodiments. It should be clear that the described figures are only views of some of the embodiments of the invention to be described, not all, and that for a person skilled in the art, other figures can be derived from these figures without inventive effort.
Fig. 1A is a schematic flowchart of an image correction method according to an embodiment of the present invention;
fig. 1B illustrates a relative rotation angle of a flat plate according to an embodiment of the present invention;
fig. 1C shows a relative inclination angle of a flat plate according to an embodiment of the present invention;
FIG. 1D is a schematic diagram illustrating the relative positioning distances of the panels according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of an image correction method according to a second embodiment of the present invention;
fig. 3 is a schematic flowchart of an image correction method according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an image correction apparatus according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1A is a schematic flowchart of an image correction method according to an embodiment of the present invention, which is applicable to a case of correcting an uneven image, and is particularly applicable to a case of determining a template required for correction according to a position of a flat panel, so as to correct the uneven image according to the template required for correction.
Before describing the image correction method provided by the present embodiment, an application scenario of the method may be exemplarily described. In large C products, where medical images are taken, for example, the dose of the beam of rays distributed on the cathode and anode sides of the bulb is asymmetrical due to the anode effect. Therefore, the dose of the radiation beam reaching each point on the surface of the flat plate is not uniform, and the density of the medical image obtained by shooting is not uniform. Moreover, in the large C product, the position of the flat plate relative to the bulb tube may be changed, and in order to solve the technical problem that the uniformity of the image is reduced by using a fixed correction template when the relative position of the bulb tube and the flat plate is changed, the non-uniformity of the photographed medical image may be corrected by using the image correction method provided by this embodiment. Of course, the image correction method of the present embodiment can also be applied to imaging apparatuses such as DR apparatuses and small C products. When the relative position between the bulb and the flat plate in imaging devices such as DR devices and small C products changes, for example, the relative position changes caused by the movement of the devices, the correction template corresponding to the current relative position between the flat plate and the bulb can be directly determined based on the image correction method provided by this embodiment, and the image acquired by the devices is corrected based on the correction template, without needing to close the devices to reconfigure the correction template of the devices, thereby greatly improving the correction efficiency.
Referring to fig. 1A, the image correction method provided in this embodiment specifically includes the following steps:
s110, obtaining a target image to be corrected, and determining the relative position of the flat plate and the bulb tube when the target image is collected.
The target image to be corrected may be a medical image with uneven density due to uneven radiation dose. Illustratively, the medical image may be an image captured by a device such as a Digital angiography (DSA) for a target examination region.
In one embodiment, the current image obtained by shooting can be used as the target image to be corrected; in another embodiment, when the obtained current image is taken, and whether the current position of the flat plate of the DSA device is at the initial setting position is determined, if not, the current image is taken as the target image to be corrected. The initial setting position may be a preset fixing position of the flat plate relative to the bulb. For example, the initial setting position may be a position where the flat plate is parallel to the surface of the bulb from which the radiation beam is emitted, the distance between the flat plate and the bulb is 150cm, and the rotation angle of the flat plate relative to the bulb is 0 °. The initial setting position is not limited, and the setting can be carried out according to actual requirements.
It is considered that when photographing is performed for different lesion positions of different patients, the limb thickness or the limb density is different due to the different lesion positions. Therefore, when acquiring medical images of different lesion positions, there may be a case where the position of the flat panel needs to be moved for photographing. However, after the position of the flat plate is changed relative to the initial setting position, the dose of the radiation beam emitted by the bulb reaching each point on the flat plate is changed. Therefore, when acquiring a target image to be corrected, it is necessary to determine the relative position of the flat plate and the bulb when acquiring the target image. In one embodiment, when the obtained current image is taken, and whether the current position of the flat plate of the DSA device is at the initial setting position is judged, if not, the current image is taken as the target image to be corrected, and the relative position of the flat plate and the bulb tube when the target image is acquired is determined.
In this embodiment, the relative position of the plate and the bulb may be the spatial position of the plate relative to the bulb. Optionally, the relative position includes at least one of a relative rotation angle, a relative inclination angle, and a relative placement distance. Illustratively, as shown in FIGS. 1B-1D, a relative rotation angle, a relative tilt angle, and a relative placement distance are shown, respectively.
The relative rotation angle may be an angle of rotation of the flat plate on a preset plane relative to the bulb. Illustratively, the relative rotation angle may be 60 ° clockwise rotation of the plate in a plane parallel to the surface of the bulb from which the beam is emitted, as shown in fig. 1B. The relative angle of inclination may be the angle at which the plate is inclined relative to the predetermined plane of the bulb. Illustratively, the relative tilt angle may be 30 ° of inclination of the plate relative to a plane parallel to the surface of the bulb from which the beam is emitted, as shown in fig. 1C. The relative placement distance may be a linear distance between the flat plate and a predetermined plane of the bulb. Illustratively, the relative placement distance may be 180cm from the straight line between the plate and the bulb, as shown in FIG. 1D.
In one embodiment, a first angle sensor is arranged on the flat plate in advance, and the relative rotation angle of the flat plate and the bulb tube when the target image is acquired is determined based on data monitored by the first angle sensor; or, the light emitter may be preset on the bulb tube, the light emitted by the light emitter is displayed at a first position on the panel when the panel is at an initial setting position, the light emitted by the light emitter is displayed at a second position on the panel after the panel rotates relative to the bulb tube, and the relative rotation angle between the panel and the bulb tube is determined by the rotation angle difference between the first position and the second position. Correspondingly, the relative inclination angle of the flat plate and the bulb tube can be determined through a second angle sensor preset on the flat plate; alternatively, the relative inclination angle of the flat plate and the bulb is determined by a light emitter preset on the bulb.
In one embodiment, a displacement sensor is preset on the flat plate, and the relative placement distance between the flat plate and the bulb tube when the target image is acquired is determined based on data monitored by the displacement sensor; or, the light emitter may be preset on the bulb, the display intensity of the light emitted by the light emitter on the panel is a first intensity when the panel is at the initial setting position, the display intensity of the light emitted by the light emitter on the panel is a second intensity after the panel is translated relative to the bulb, and the relative placement distance between the panel and the bulb is determined by the intensity difference between the first intensity and the second intensity.
And S120, determining at least one target correction template corresponding to the target image from the at least two correction templates to be selected based on the relative position.
The calibration template to be selected can be a calibration template corresponding to a preset flat plate and a certain relative position of the bulb tube. Optionally, the correction template to be selected may be a bright-field image of a preset dose, which is captured in advance. In one embodiment, bright-field images of a certain number of set doses, for example, 5 bright-field images, or 3 bright-field images, may be captured in advance, and the candidate correction template may be determined based on each bright-field image. Illustratively, an average image of bright-field images obtained by shooting under the set dose is determined, and the average image is used as a correction template to be selected. The set dose can be predetermined based on the relative position of the flat plate and the bulb, and the set doses corresponding to different relative positions can be different, which is not limited in the application.
Optionally, the method further includes: determining at least two preset standard relative positions; and respectively generating a correction template to be selected corresponding to each preset standard relative position based on at least two preset standard relative positions.
Specifically, this step may be performed before S110, that is, before the target image to be corrected is acquired, the to-be-selected correction template corresponding to each preset standard relative position is generated. The preset standard relative position can be preset reference positions; optionally, determining at least two preset standard relative positions includes: and determining the preset standard relative position based on the occurrence frequency of each relative position when the medical image is acquired. Namely, the relative position with a large number of occurrences when the medical image is acquired is determined as the preset standard relative position. Optionally, determining at least two preset standard relative positions includes: at least two preset standard relative positions are determined based on the preset position interval. Namely, the relative position of the adjacent preset position interval is selected as the preset standard relative position.
Taking the relative position including the relative rotation angle as an example, the preset standard relative position may include a preset standard rotation angle. For example, the preset standard rotation angles may be relative rotation angles with a large number of occurrences when medical images are acquired, such as 15 °, 95 °, and 120 ° respectively; alternatively, the preset standard rotation angle may be a relative rotation angle at intervals of adjacent preset positions, such as 0 °, 45 °, 90 °, 135 °, 180 °, 225 °, and 270 °. The number of the relative positions of the preset standard is not limited, namely, the number of the correction templates to be selected is not limited.
In one embodiment, the number of relative positions of the preset standard can be determined based on the time required for determining the target correction template from the correction templates to be selected and the correction quality standard; the more the number of the preset standard relative positions is, the longer the time required for determining the target correction template is, and the higher the correction quality of the image obtained after the target image is corrected is. In another embodiment, the number of relative positions of the preset criteria may also be determined based on the characteristics or attributes of the flat panel.
In this optional embodiment, the purpose of determining a plurality of preset standard relative positions and respectively generating in advance the correction template to be selected according to the plurality of preset standard relative positions is to: generating a correction template corresponding to a plurality of representative relative positions, so that when the relative position corresponding to the acquired target image is determined, the correction template suitable for the target image can be screened from the plurality of representative correction templates, and the efficiency of determining the correction template of the target image is improved; meanwhile, the number of the correction templates to be selected can be set according to actual requirements, the correction precision of the target image is improved when the number of the correction templates to be selected is high, the selection speed of the correction templates of the target image is increased when the number of the correction templates to be selected is low, and the correction speed of the target image is increased.
Optionally, the preset standard relative position includes a preset acquisition angle, and the to-be-selected correction templates corresponding to each preset standard relative position are respectively generated based on at least two preset standard relative positions, including: and generating a correction template to be selected corresponding to each preset acquisition angle aiming at each preset acquisition angle.
The preset collection angle can be a preset rotation angle or a preset inclination angle. Specifically, the corresponding correction template to be selected can be generated for each preset acquisition angle. Illustratively, the preset acquisition angle may be each integer angle from 0 ° to 359 °, and a corresponding candidate correction template is generated for each integer angle from 0 ° to 359 °, that is, 360 candidate correction templates are obtained. The advantage that the corresponding correction template to be selected is generated for each preset acquisition angle is as follows: by generating the correction template to be selected corresponding to each preset acquisition angle, when the relative position of the flat plate and the bulb tube when the target image to be corrected is acquired is determined, the relative position is matched with each preset acquisition angle to obtain the correction template to be selected corresponding to the relative position, so that the correction precision of the image is greatly improved.
It should be noted that the preset acquisition angle may be determined based on the measurement accuracy of the relative position. For example, the measurement accuracy of the relative position is 1 °, the preset acquisition angle may be each integer angle of 0 ° to 359 °, and the number of the preset acquisition angles and the number of the obtained correction templates to be selected are both 360; the measurement precision of the relative position is 0.1 degrees, and the number of the preset acquisition angles and the number of the obtained correction templates to be selected are 3600.
Specifically, after the relative position between the flat plate and the bulb tube when the target image to be corrected is acquired is determined, the target correction template corresponding to the target image can be selected from the correction templates to be selected based on the relative position and the position corresponding to each correction template to be selected. The number of the target correction templates may be one or more. Optionally, determining at least one target correction template corresponding to the target image from the at least two correction templates to be selected based on the relative position includes: and selecting positions adjacent to the relative position when the target image is acquired from each position based on the positions corresponding to the at least two correction templates to be selected, and determining the correction templates to be selected corresponding to the adjacent positions as the target correction templates.
Optionally, the relative position includes at least one of a relative rotation angle, a relative inclination angle, and a relative placement distance; correspondingly, determining at least one target correction template corresponding to the target image from the at least two candidate correction templates based on the relative position includes at least one of the following operations: determining at least one target correction template corresponding to a target image from at least two correction templates to be selected based on the relative rotation angle; determining at least one target correction template corresponding to the target image from at least two correction templates to be selected based on the relative inclination angle; and determining at least one target correction template corresponding to the target image from the at least two candidate correction templates based on the relative placement distance.
In an embodiment, at least one target correction template corresponding to the target image may be further determined from the at least two correction templates to be selected based on a preset template selection rule and a relative rotation angle. The preset template selection rule may be predetermined based on the target image acquired at each relative position and the correction result of each correction template to be selected. Optionally, the preset template selection rule may be to designate a corresponding target correction template for each relative position interval; a corresponding target correction template may be specified for each relative position. Illustratively, the preset template selection rule can be that a correction template to be selected corresponding to the relative rotation angle of 20 degrees is adopted for the relative rotation angle within 0-45 degrees; or when the relative rotation angle is 100 degrees, the to-be-selected correction template corresponding to the relative rotation angle of 135 degrees is adopted.
Correspondingly, at least one target correction template corresponding to the target image can be determined from at least two correction templates to be selected based on a preset template selection rule and a relative inclination angle; or determining at least one target correction template corresponding to the target image from at least two correction templates to be selected based on a preset template selection rule and the relative placement distance.
It should be noted that the relative position may include at least two of a relative rotation angle, a relative inclination angle, and a relative placement distance. At this time, determining at least one target correction template corresponding to the target image from at least two correction templates to be selected based on the relative position includes: and determining at least one target correction template corresponding to the target image from at least two to-be-selected correction templates based on at least two of the relative rotation angle, the relative inclination angle and the relative placement distance. The candidate correction templates may be correction templates generated based on at least two of preset relative rotation angles, relative inclination angles, and relative placement distances.
In an embodiment, optionally, determining at least one target correction template corresponding to the target image from at least two candidate correction templates based on the relative position includes: dividing position intervals corresponding to the relative positions of the preset standards based on the relative positions of the preset standards; determining a position interval where the relative position is located; determining a preset standard relative position corresponding to the position interval where the relative position is located as a preset standard relative position associated with the relative position; and determining the correction template to be selected corresponding to the preset standard relative position associated with the relative position as a target correction template.
Illustratively, taking the relative position including the relative rotation angle as an example, the preset standard relative position includes 0 °, 90 °, 180 °, and 270 °, and the position intervals corresponding to the preset standard relative positions are respectively: 45 degrees to 45 degrees, 46 degrees to 135 degrees, 136 degrees to 225 degrees and 226 degrees to 315 degrees.
And S130, carrying out correction processing on the target image based on at least one target correction template.
Specifically, after the target correction template is determined, the target image may be corrected based on the target correction template to generate an image with uniform density. In one embodiment, if the number of the target correction templates is greater than 1, the target image may be corrected based on each target correction template to obtain correction results corresponding to a plurality of target correction templates. And displaying the correction result corresponding to each target correction template. Alternatively, an average image of each target correction template may be acquired, and the target image may be corrected based on the average image to obtain a correction result corresponding to the average image. And displaying the correction result corresponding to the average image.
In one embodiment, the target image is subjected to correction processing based on at least one target correction template, and the following formula is satisfied:
I′(x,y)=I(x,y)×M(x,y);
the method comprises the steps of obtaining a target image, obtaining a gray value of a pixel point with a position (x, y) in the target image, and obtaining a gray value of a pixel point with a position (x, y) in the target image.
When the number of the target calibration templates is plural, I' (x, y) corresponding to each of the plural target calibration templates can be obtained based on each target calibration template; it is also possible to determine an average image based on each target correction template, take the average image as M (x, y), and determine I' (x, y) based on the average image.
In one embodiment, the correction processing of the target image based on at least one target correction template includes: and performing dark field processing on the target correction template, and performing correction processing on the target image based on the target correction template after the dark field processing. Wherein the dark field processing may be subtracting the dark field image from the object correction template to reject a dark field portion of the object correction template due to dark current. Optionally, the correcting the target image based on at least one target correcting template further includes: and performing at least one of tissue equalization processing, contrast equalization processing, filtering processing, gray scale conversion and tone adjustment on the corrected target image to improve the image quality of the corrected target image.
According to the technical scheme of the embodiment, the relative position of the flat plate and the bulb tube when the target image is collected is determined, the target correction template corresponding to the target image is determined from the at least two correction templates to be selected according to the relative position, and the target image is corrected based on the target correction template, so that the correction template is determined in real time according to the relative position of the flat plate, the image is corrected by automatically selecting the corresponding correction template when the relative position of the flat plate changes, the technical problem that the uniformity of the image is reduced due to the change of the position of the flat plate is solved, the image quality is greatly improved, and further, the image diagnosis efficiency is improved.
Example two
Fig. 2 is a schematic flow chart of an image correction method according to a second embodiment of the present invention, where this embodiment optionally determines at least one target correction template corresponding to a target image from at least two correction templates to be selected based on a relative position based on the foregoing embodiments, and includes: determining a position difference between the relative position and at least one preset standard relative position; determining a preset standard relative position associated with the relative position based on the position differences; and determining the correction template to be selected corresponding to the preset standard relative position associated with the relative position as a target correction template.
Wherein explanations of the same or corresponding terms as those of the above embodiments are omitted. Referring to fig. 2, the image correction method provided in this embodiment includes the following steps:
s210, obtaining a target image to be corrected, and determining the relative position of the flat plate and the bulb tube when the target image is collected.
And S220, determining the position difference between the relative position and at least one preset standard relative position.
Wherein the position difference may be an absolute value of a position difference between the relative position and a preset standard relative position. Illustratively, taking a relative position including a relative rotation angle as an example, if the preset standard rotation angle (the preset standard relative position) includes 0 °, 45 °, 90 °, 135 °, 180 °, 225 °, and 270 °, it is determined that the relative rotation angle between the flat plate and the bulb tube when the target image is acquired is 20 °, the position differences are respectively 20 °, 25 °, 70 °, 115 °, 160 °, 205 °, and 250 °; if the preset standard rotation angle (the preset standard relative position) includes each integer degree of 0-359 °, and the relative rotation angle between the flat plate and the bulb tube when the target image is acquired is 20 °, the position difference between the relative rotation angle and the preset standard rotation angle (the preset standard relative position) of 20 ° is 0 °.
S230, determining a preset standard relative position related to the relative position based on each position difference; and determining the correction template to be selected corresponding to the preset standard relative position associated with the relative position as a target correction template.
In one embodiment, determining a preset standard relative position associated with the relative position based on the position differences comprises: and determining the preset standard relative position corresponding to the minimum position difference as the preset standard relative position associated with the relative position.
Along the above example, when the position differences are respectively 20 °, 25 °, 70 °, 115 °, 160 °, 205 ° and 250 °, the preset standard relative position 0 ° corresponding to 20 ° is determined as the preset standard relative position corresponding to 20 ° relative position. It should be noted that the number of the relative positions determined in this way may be one or more than one preset standard relative positions.
In another embodiment, determining a preset standard relative position associated with the relative position based on the position differences comprises: and comparing each position difference with a preset position difference threshold value, and determining a preset standard relative position corresponding to the position difference smaller than the preset position difference threshold value as a preset standard relative position associated with the relative position. It should be noted that the preset position difference threshold may be set based on the difference between the relative positions of the preset standards, which is not limited in the present application; the number of the preset standard relative positions related to the relative position determined in this way may be one or more.
Specifically, after the preset standard relative position associated with the relative position is determined, the correction template to be selected corresponding to the preset standard relative position associated with the relative position is determined as the target correction template. According to the above example, the pre-generated correction template to be selected based on the preset standard relative position of 0 ° is determined as the target correction template.
And S240, carrying out correction processing on the target image based on at least one target correction template.
According to the technical scheme of the embodiment, the position difference between the relative position of the flat plate and the bulb tube and each preset standard relative position when the target image is collected is determined, the preset standard relative position related to the relative position is determined based on each position difference, and then the to-be-selected correction template corresponding to the preset standard relative position is determined as the target correction template, so that the correction template is determined according to the difference between the current position of the flat plate and the preset standard position, the technical problem that the image uniformity is reduced due to the change of the position of the flat plate is solved, the image correction quality is greatly improved, and further, the auxiliary diagnosis efficiency of the image is improved.
EXAMPLE III
Fig. 3 is a schematic flow chart of an image correction method according to a third embodiment of the present invention, where this embodiment optionally determines at least one target correction template corresponding to a target image from at least two correction templates to be selected based on a relative position based on the foregoing embodiments, and includes: determining at least two preset standard relative positions adjacent to the relative position; and determining a target correction template based on the to-be-selected correction templates corresponding to the relative positions of at least two preset standards.
Wherein explanations of the same or corresponding terms as those of the above embodiments are omitted. Referring to fig. 3, the image correction method provided in this embodiment includes the following steps:
s310, obtaining a target image to be corrected, and determining the relative position of the flat plate and the bulb tube when the target image is collected.
S320, determining at least two preset standard relative positions adjacent to the relative position; and determining a target correction template based on the to-be-selected correction templates corresponding to the relative positions of at least two preset standards.
In consideration of the fact that the correction is performed by using the to-be-selected correction template at the preset standard relative position with the minimum position difference in the partial relative positions, the correction result may not be the optimal correction result. Therefore, the target correction template can be determined based on the to-be-selected correction templates corresponding to at least two preset standard relative positions adjacent to the relative position, so as to avoid that the to-be-selected correction template at the closest preset standard relative position is not the optimal correction template.
Optionally, determining at least two preset standard relative positions adjacent to the relative position includes: and determining position gaps between the preset standard relative positions and the relative positions, generating a sorted list with gradually increased position gaps based on the position gaps, and determining the preset standard relative positions corresponding to the position gaps of the first N names in the sorted list as adjacent preset standard relative positions. Wherein, N can be any natural number larger than 1.
Illustratively, the preset standard relative positions include 0 °, 45 °, 90 °, 135 °, 180 °, 225 °, and 270 ° in the case of relative positions including relative rotation angles, the adjacent preset standard relative positions at the relative position of 20 ° include 0 ° and 45 °, and the adjacent preset standard relative positions at the relative position of 285 ° include 270 ° and 0 °. In one case, the preset standard relative positions adjacent to the relative position of 44 ° include 0 °, 45 °, and 90 °.
Specifically, the to-be-selected correction templates corresponding to the relative positions of the at least two adjacent preset standards may be determined as the target correction templates. And determining a target correction template based on the correction effect of the to-be-selected correction template corresponding to the relative positions of at least two adjacent preset standards.
Optionally, determining the target correction template based on the to-be-selected correction templates corresponding to the relative positions of the at least two preset standards includes: respectively pre-correcting the target image based on the to-be-selected correction templates corresponding to the relative positions of at least two preset standards; and determining a target correction template according to each pre-correction processing result of the target image.
The pre-correction processing may be simple correction processing performed on the target image based on the correction template to be selected. For example, the pre-correction processing may be correction processing only on the target image, excluding dark field processing, tissue equalization processing, contrast equalization processing, filter processing, gradation conversion, and tone adjustment. After the target image is subjected to pre-correction processing based on each correction template to be selected, the target correction template is determined by comparing the pre-correction processing results. Illustratively, the comparison of the results of the pre-correction processing can be realized by calculating the density uniformity of the target image after the pre-correction processing.
In this alternative embodiment, the pre-correction processing is performed according to each correction template to be selected, so as to determine the target correction template based on each pre-correction processing result, which has the following advantages: the correction template with the optimal correction effect can be determined by automatically comparing the pre-correction effects of a plurality of correction templates to be selected, so that the correction precision of the image is greatly improved.
In another embodiment, the target image after the pre-correction processing may be displayed, and the target template may be determined based on the operation of the user. Optionally, determining the target correction template based on the to-be-selected correction templates corresponding to the relative positions of the at least two preset standards includes: respectively pre-correcting the target image based on at least two correction templates to be selected corresponding to the preset standard relative positions; displaying each pre-correction processing result of the target image; and receiving a template selection instruction input by a user based on each displayed pre-correction processing result, and determining a target correction template based on the template selection instruction.
The template selection instruction may be an instruction for determining a target correction template. The template selection instruction may be generated in various ways, for example, based on information edited by the user in the command line, or based on information selected by the user in a preset selection tag, or based on a click operation by the user. The template selection instructions may include instructions to select a target correction template and/or delete correction templates other than the target correction template.
In this alternative embodiment, the benefits of presenting the user with the results of the pre-correction processing of the target image and determining the target correction template based on the template selection instructions are: the target correction template can be determined based on the operation of the user by displaying the pre-correction effect of the plurality of correction templates to be selected, so that the determination of the correction template with the optimal correction effect is realized, and the correction precision of the image is greatly improved.
S330, correcting the target image based on at least one target correcting template.
According to the technical scheme of the embodiment, the target correction template is determined by determining the at least two preset standard relative positions adjacent to the relative positions and the to-be-selected correction template based on the at least two preset standard relative positions, so that the correction template with the optimal correction effect is determined in the multiple to-be-selected correction templates, the correction precision of the image is greatly improved, and the image quality is further improved.
Example four
Fig. 4 is a schematic structural diagram of an image correction apparatus according to a fourth embodiment of the present invention, which is applicable to a case of correcting an uneven image, and is particularly applicable to a case of determining a template required for correction according to a position of a flat plate, so as to correct the uneven image according to the template required for correction, where the apparatus specifically includes: an image acquisition module 410, a template determination module 420, and an image correction template 430.
The image acquisition module 410 is used for acquiring a target image to be corrected and determining the relative position of the flat plate and the bulb tube when the target image is acquired;
a template determining module 420, configured to determine at least one target correction template corresponding to the target image from the at least two correction templates to be selected based on the relative position;
and an image correction module 430, configured to perform correction processing on the target image based on at least one target correction template.
Optionally, the relative position includes at least one of a relative rotation angle, a relative inclination angle, and a relative placement distance. The template determination module 420 includes a rotation template determination unit, a tilt template determination unit, and a distance template determination unit; the rotating template determining unit is used for determining at least one target correction template corresponding to a target image from at least two correction templates to be selected based on the relative rotation angle; the inclined template determining unit is used for determining at least one target correction template corresponding to the target image from at least two correction templates to be selected based on the relative inclination angle; the distance template determining unit is used for determining at least one target correction template corresponding to the target image from at least two correction templates to be selected based on the relative placement distance.
Optionally, the image correction apparatus further includes a template generation module, where the template generation module includes a standard position determination unit and a template generation unit to be selected; the standard position determining unit is used for determining at least two preset standard relative positions; the candidate template generating unit is used for respectively generating a candidate correction template corresponding to each preset standard relative position based on at least two preset standard relative positions.
Optionally, the preset standard relative position includes preset acquisition angles, and the to-be-selected template generating unit is specifically configured to generate, for each preset acquisition angle, a to-be-selected correction template corresponding to each preset acquisition angle.
Optionally, the template determining module 420 includes a difference template determining unit, configured to determine a position difference between the relative position and at least one preset standard relative position; determining a preset standard relative position associated with the relative position based on the position differences; and determining the correction template to be selected corresponding to the preset standard relative position associated with the relative position as a target correction template.
Optionally, the template determining module 420 includes an adjacent template determining unit, configured to determine at least two preset standard relative positions adjacent to the relative position; and determining a target correction template based on the to-be-selected correction templates corresponding to the relative positions of at least two preset standards.
Optionally, the adjacent template determining unit includes a first determining subunit, configured to perform pre-correction processing on the target image based on the to-be-selected correction templates corresponding to the at least two preset standard relative positions, respectively; and determining a target correction template according to each pre-correction processing result of the target image.
Optionally, the adjacent template determining unit includes a second determining subunit, configured to perform pre-correction processing on the target image based on the to-be-selected correction templates corresponding to the at least two preset standard relative positions, respectively; displaying each pre-correction processing result of the target image; and receiving a template selection instruction input by a user based on each displayed pre-correction processing result, and determining a target correction template based on the template selection instruction.
In the embodiment, the relative position of the flat plate and the bulb tube when the target image is acquired is determined through the image acquisition module, the target correction template corresponding to the target image is determined from the at least two correction templates to be selected through the template determination module according to the relative position, and the target image is corrected through the image correction module based on the target correction template, so that the correction template is determined in real time according to the relative position of the flat plate, the image is corrected by automatically selecting the corresponding correction template when the relative position of the flat plate is changed, the technical problem of image uniformity reduction caused by the change of the position of the flat plate is solved, the image quality is greatly improved, and the image diagnosis efficiency is further improved.
The image correction device provided by the embodiment of the invention can execute the image correction method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It should be noted that, the units and modules included in the system are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiment of the invention.
EXAMPLE five
Fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary electronic device 12 suitable for use in implementing embodiments of the present invention. The electronic device 12 shown in fig. 5 is only an example and should not bring any limitation to the function and the scope of use of the embodiment of the present invention. The device 12 is typically an electronic device that undertakes image correction functions.
As shown in FIG. 5, electronic device 12 is embodied in the form of a general purpose computing device. The components of electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a memory 28, and a bus 18 that couples the various components (including the memory 28 and the processing unit 16).
Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, enhanced ISA (enhanced ISA) bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 12 typically includes a variety of computer-readable media. Such media may be any available media that is accessible by electronic device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 28 may include computer device readable media in the form of volatile Memory, such as Random Access Memory (RAM) 30 and/or cache Memory 32. The electronic device 12 may further include other removable/non-removable, volatile/nonvolatile computer storage media. By way of example only, the storage device 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, commonly referred to as a "hard drive"). Although not shown in FIG. 5, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk-Read Only Memory (CD-ROM), a Digital Video disk (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product 40, with program product 40 having a set of program modules 42 configured to carry out the functions of embodiments of the invention. Program product 40 may be stored, for example, in memory 28, and such program modules 42 include, but are not limited to, one or more application programs, other program modules, and program data, each of which examples or some combination may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
Electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, mouse, camera, etc., and display), one or more devices that enable a user to interact with electronic device 12, and/or any devices (e.g., network card, modem, etc.) that enable electronic device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the electronic device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 via the bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, Redundant Arrays of Independent Disks (RAID) devices, tape drives, and data backup storage devices, to name a few.
The processor 16 executes various functional applications and data processing by executing programs stored in the memory 28, for example, implementing the image correction method provided by the above-described embodiment of the present invention, including:
acquiring a target image to be corrected, and determining the relative position of the flat plate and the bulb tube when the target image is acquired;
determining at least one target correction template corresponding to the target image from at least two correction templates to be selected based on the relative position;
and carrying out correction processing on the target image based on at least one target correction template.
Of course, those skilled in the art will understand that the processor may also implement the technical solution of the image correction method provided by any embodiment of the present invention.
EXAMPLE six
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the image correction method provided in any embodiment of the present invention, and the method includes:
acquiring a target image to be corrected, and determining the relative position of the flat plate and the bulb tube when the target image is acquired;
determining at least one target correction template corresponding to the target image from at least two correction templates to be selected based on the relative position;
and carrying out correction processing on the target image based on at least one target correction template. Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. An image correction method, comprising:
acquiring a target image to be corrected, and determining the relative position of a flat plate and a bulb tube when the target image is acquired;
determining at least one target correction template corresponding to the target image from at least two correction templates to be selected based on the relative position;
and carrying out correction processing on the target image based on at least one target correction template.
2. The method of claim 1, further comprising:
determining at least two preset standard relative positions;
and respectively generating a correction template to be selected corresponding to each preset standard relative position based on at least two preset standard relative positions.
3. The method according to claim 2, wherein the preset standard relative position includes a preset acquisition angle, and the generating the calibration template to be selected corresponding to each preset standard relative position based on at least two preset standard relative positions respectively includes:
and generating a correction template to be selected corresponding to each preset acquisition angle aiming at each preset acquisition angle.
4. The method according to claim 2, wherein the determining at least one target correction template corresponding to the target image from at least two candidate correction templates based on the relative position comprises:
determining a position difference between the relative position and at least one preset standard relative position;
determining a preset standard relative position associated with the relative position based on each of the position differences;
and determining the correction template to be selected corresponding to the preset standard relative position associated with the relative position as a target correction template.
5. The method according to claim 2, wherein the determining at least one target correction template corresponding to the target image from at least two candidate correction templates based on the relative position comprises:
determining at least two preset standard relative positions adjacent to the relative position;
and determining a target correction template based on the to-be-selected correction templates corresponding to the relative positions of at least two preset standards.
6. The method according to claim 5, wherein the determining a target correction template based on the to-be-selected correction templates corresponding to the at least two preset standard relative positions comprises:
respectively pre-correcting the target image based on at least two correction templates to be selected corresponding to the preset standard relative positions;
and determining a target correction template according to each pre-correction processing result of the target image.
7. The method of claim 1, wherein the relative position comprises at least one of a relative rotation angle, a relative tilt angle, and a relative placement distance;
the determining at least one target correction template corresponding to the target image from at least two candidate correction templates based on the relative position comprises at least one of the following operations:
determining at least one target correction template corresponding to the target image from at least two correction templates to be selected based on the relative rotation angle;
determining at least one target correction template corresponding to the target image from at least two correction templates to be selected based on the relative inclination angle;
and determining at least one target correction template corresponding to the target image from at least two correction templates to be selected based on the relative placement distance.
8. An image correction apparatus characterized by comprising:
the image acquisition module is used for acquiring a target image to be corrected and determining the relative position of the flat plate and the bulb tube when the target image is acquired;
the template determining module is used for determining at least one target correction template corresponding to the target image from at least two correction templates to be selected based on the relative position;
and the image correction module is used for carrying out correction processing on the target image based on at least one target correction template.
9. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the image correction method of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the image correction method according to any one of claims 1 to 7.
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