CN113129239B - Image correction method, device, electronic equipment and storage medium - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 57
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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 method comprises the steps of determining the relative positions of a flat plate and a bulb tube when a target image is acquired, determining a target correction template corresponding to the target image from at least two to-be-selected correction templates according to the relative positions, and correcting the target image based on the target correction template, so that the correction template is determined in real time according to the relative positions of the flat plate, the corresponding correction template is automatically selected to correct the image when the relative positions of the flat plate change, the technical problem of reduced image uniformity caused by the change of the positions of the flat plate is solved, the image quality is greatly improved, and the diagnostic efficiency of the image is further improved.
Description
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 a very important role in medical diagnosis and clinical treatment. However, in clinic, digital radiography apparatuses are limited by the manufacturing process, and anode effects, i.e. the dose distribution of the radiation beam generated by the bulb in the digital radiography apparatus, are extremely easy to generate, being asymmetric on the cathode side and the anode side of the bulb.
In digital radiography (Digital Radiographic, DR) equipment, orthopedic C-arms (often referred to as small C) and the like products, the relative positions of the plate and bulb are fixed. Therefore, the gain correction can be performed for this specific relative angle based on the fixed relative positional relationship of the flat plate and the bulb, so that the dose distribution of the ray beam generated by the bulb is symmetrically distributed on the cathode side and the anode side, to eliminate the influence of the anode effect on the image quality.
However, in angiographic imaging devices (often referred to as large C) products, there are application scenarios where the bulb position is unchanged, while the plate is rotated, tilted or moved. At this time, after the panel rotates, tilts or moves, for example, after the panel rotates 90 degrees relative to the bulb, if the gain correction is still performed by using the fixed gain correction template, the uniformity of the image is reduced, and the quality of the image is further affected. Therefore, the existing digital radiography equipment has the technical problems of reduced image uniformity when the relative positions of the flat plate and the bulb tube are changed, such as the rotation of the flat plate of a large C product, the change of the position of the flat plate when the DR equipment moves, and the like, and the problems are particularly prominent in angiographic imaging equipment.
Disclosure of Invention
The embodiment of the invention provides an image correction method 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 uniformity of the image 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 correcting 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 to-be-selected correction templates 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, including:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the image correction method as provided by any embodiment of the present invention.
In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements an image correction method as provided by any of the embodiments of the present invention.
The embodiments of the above invention have the following advantages or benefits:
the method comprises the steps of determining the relative positions of a flat plate and a bulb tube when a target image is acquired, determining a target correction template corresponding to the target image from at least two to-be-selected correction templates according to the relative positions, and correcting the target image based on the target correction template, so that the correction template is determined in real time according to the relative positions of the flat plate, the corresponding correction template is automatically selected to correct the image when the relative positions of the flat plate change, the technical problem of reduced image uniformity caused by the change of the positions of the flat plate is solved, the image quality is greatly improved, and the image diagnosis efficiency is further improved.
Drawings
In order to more clearly illustrate the technical solution of the exemplary embodiments of the present invention, a brief description is given below of the drawings required for describing the embodiments. It is obvious that the drawings presented are only drawings of some of the embodiments of the invention to be described, and not all the drawings, and that other drawings can be made according to these drawings without inventive effort for a person skilled in the art.
FIG. 1A is a flowchart of an image correction method according to an embodiment of the present invention;
FIG. 1B is a view showing the relative rotation angle of a flat panel according to one embodiment of the present invention;
FIG. 1C is a view showing the relative inclination angle of a flat panel according to one embodiment of the present invention;
FIG. 1D is a diagram illustrating a relative placement distance of a flat panel according to an embodiment of the present invention;
fig. 2 is a flowchart of an image correction method according to a second embodiment of the present invention;
fig. 3 is a 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 device 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 invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1A is a schematic flow chart of an image correction method according to an embodiment of the present invention, where the embodiment 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.
Before the image correction method provided in this embodiment is described, an application scenario of the method may be exemplarily described. In the case of large C products for medical imaging, the dose of the radiation beam distributed on the cathode and anode sides of the bulb is asymmetric, due to the positive effect present, for example. Therefore, the dose of the beam reaching each point on the surface of the flat plate is not uniform, resulting in uneven density of the medical image obtained by photographing. In addition, in the large C product, the position of the flat plate relative to the bulb tube can be changed, so that the technical problem that the uniformity of the image is reduced due to the fact that the fixed correction template is used when the relative position of the bulb tube and the flat plate is changed is solved, and the image correction method provided by the embodiment can be used for correcting the non-uniformity of the shot medical image. 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 positions of the bulb tube and the flat plate in the imaging device such as the DR device and the small C product change, for example, the relative position change caused by the movement of the device can be based on the image correction method provided by the embodiment, the correction template corresponding to the relative positions of the current flat plate and the bulb tube can be directly determined, the image acquired by the device is corrected based on the correction template, and the correction template of the device is not required to be closed to be reconfigured, so that the correction efficiency is greatly improved.
Referring to fig. 1A, the image correction method provided in this embodiment specifically includes the following steps:
s110, 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 target image to be corrected may be a medical image with non-uniform density due to non-uniform radiation dose. By way of example, the medical image may be an image taken by a device such as a digital angiography (Digital subtraction angiography, DSA) for a target examination site.
In one embodiment, the current image obtained by shooting may be used as the target image to be corrected; in another embodiment, when the obtained current image is photographed, it may be determined whether the current position of the flat plate of the DSA apparatus is at the initial setting position, and if not, the current image is taken as the target image to be corrected. The initial setting position may be a preset fixed position of the flat plate relative to the bulb. The initial setting position may be, for example, a position in which the plate is parallel to the surface of the bulb from which the radiation beam is emitted, the distance between the plate and the bulb being 150cm, and the rotation angle of the plate relative to the bulb being 0 °. The initial setting position is not limited, and can be set according to actual requirements.
It is contemplated that when photographing for different lesion locations of different patients, the limb thickness or limb density varies due to the different lesion locations. Thus, there may be situations where it is necessary to move the plate position for taking a picture when acquiring medical images of different lesion positions. However, after the position of the plate is changed relative to the initial setting, the dose of the beam emitted by the bulb to various points on the plate is also 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 shot, whether the current position of the flat plate of the DSA device is at the initial setting position or not may be determined, 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 a spatial position of the plate relative to the bulb. Optionally, the relative position includes at least one of a relative rotation angle, a relative tilt angle, and a relative placement distance. 1B-1D, a relative rotation angle, a relative tilt angle, and a relative placement distance, respectively, are illustrated.
The relative rotation angle may be an angle by which the flat plate rotates on a preset plane with respect to the bulb. The relative rotation angle may be, for example, 60 ° clockwise rotation of the plate in a plane parallel to the surface of the bulb from which the beam emanates, as shown in fig. 1B. The relative inclination angle may be an angle by which the flat plate is inclined with respect to a preset plane of the bulb. The relative tilt angle may be, for example, 30 ° tilted with respect to a plane parallel to the surface of the bulb from which the beam emanates, as shown in fig. 1C. The relative placement distance may be a linear distance between the flat plate and a preset plane of the bulb. By way of example, the relative placement distance may be 180cm from a straight line between the flat plate and the bulb, as shown in FIG. 1D.
In one embodiment, a first angle sensor is preset on the flat plate, 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 can be preset on the bulb tube, when the flat plate is at the initial setting position, the light emitted by the light emitter is displayed at the first position on the flat plate, after the flat plate rotates relative to the bulb tube, the light emitted by the light emitter is displayed at the second position on the flat plate, and the relative rotation angle between the flat plate and the bulb tube is determined through 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; or determining the relative inclination angle of the flat plate and the bulb tube through a light emitter preset on the bulb tube.
In one embodiment, the relative placement distance between the flat plate and the bulb tube when the target image is acquired can be determined based on the data monitored by the displacement sensor by presetting the displacement sensor on the flat plate; or, the light emitter can be preset on the bulb tube, when the flat plate is at the initial setting position, the display intensity of the light emitted by the light emitter on the flat plate is a first intensity, after the flat plate is translated relative to the bulb tube, the display intensity of the light emitted by the light emitter on the flat plate is a second intensity, and the relative placement distance between the flat plate and the bulb tube is determined through the intensity difference between the first intensity and the second intensity.
S120, determining at least one target correction template corresponding to the target image from at least two to-be-selected correction templates based on the relative position.
The correction template to be selected can be a correction template corresponding to a preset flat plate and a certain relative position of the bulb tube. Alternatively, the correction template to be selected may be a bright field image at a set dose taken in advance. In one embodiment, a number of bright field images, e.g., 5 bright field images, or 3 bright field images, etc., at a set dose may be captured in advance, and the candidate correction template may be determined based on each bright field image. For example, an average image of each bright field image captured at the set dose is determined, and the average image is used as a correction template to be selected. The set dose may be predetermined based on the relative positions of the flat plate and the bulb, and the set doses corresponding to different relative positions may be different, which is not limited in this application.
Optionally, the method further comprises: determining the relative positions of at least two preset standards; and generating a to-be-selected correction template 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, a correction template to be selected corresponding to each preset standard relative position is generated. The preset standard relative positions can be preset reference positions; optionally, determining the relative position of at least two preset criteria includes: and determining a preset standard relative position based on the occurrence times of each relative position when the medical image is acquired. That is, the relative position where the number of occurrences is large when the medical image is acquired is determined as the preset standard relative position. Optionally, determining the relative position of at least two preset criteria includes: at least two preset standard relative positions are determined based on the preset position intervals. 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 the preset standard rotation angle. The preset standard rotation angles may be, for example, relative rotation angles with a greater number of occurrences when acquiring medical images, such as 15 °, 95 °, 120 °, and the like; alternatively, the preset standard rotation angles may be relative rotation angles of preset position intervals of 0 °, 45 °, 90 °, 135 °, 180 °, 225 °, 270 °, and the like, respectively. The number of the preset standard relative positions is not limited, namely, the number of the templates to be corrected is not limited.
In one embodiment, the number of preset standard relative positions may be determined based on the time required to determine the target correction template from the candidate correction templates, and the correction quality criteria; the more the number of preset standard relative positions is, the longer the required time for determining the target correction template is, and the higher the correction quality of an image obtained after correcting the target image is. In another embodiment, the number of preset standard relative positions may also be determined based on the characteristics or properties of the tablet.
In this alternative embodiment, the purpose of determining a plurality of preset standard relative positions and generating the correction templates to be selected in advance according to the plurality of preset standard relative positions is to: generating correction templates corresponding to the representative multiple relative positions, so that when the relative positions corresponding to the acquired target images are determined, the correction templates suitable for the target images can be screened out from the representative multiple correction templates, and the efficiency of determining the correction templates of the target images is improved; meanwhile, the number of the to-be-selected correction templates can be set according to actual requirements, when the number of the to-be-selected correction templates is high, the correction precision of the target image is improved, and when the number of the to-be-selected correction templates is low, the correction template selection speed of the target image is improved, and then the correction speed of the target image is improved.
Optionally, the preset standard relative positions include preset collection angles, and generating the to-be-selected correction templates corresponding to each preset standard relative position based on at least two preset standard relative positions includes: and generating a to-be-selected correction template corresponding to each preset acquisition angle aiming at each preset acquisition angle.
The preset collection angle may be a preset rotation angle or a preset inclination angle. Specifically, for each preset acquisition angle, a corresponding correction template to be selected can be generated. For example, the preset collection angle may be each integer angle from 0 ° to 359 °, and a corresponding correction template to be selected is generated for each integer angle from 0 ° to 359 °, that is, 360 correction templates to be selected are obtained. The method has the advantages that the corresponding correction templates to be selected are generated for each preset acquisition angle: by generating the to-be-selected correction templates corresponding to each preset acquisition angle, when the relative position of the flat plate and the spherical tube is determined when the target image to be corrected is acquired, the relative position is matched with each preset acquisition angle, the to-be-selected correction template corresponding to the relative position is obtained, and 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, if the measurement accuracy of the relative position is 1 °, the preset collection angle may be each integer angle of 0 ° to 359 °, and the number of preset collection angles and the number of obtained templates to be corrected are 360; the measurement accuracy of the relative position is 0.1 degrees, and the number of preset acquisition angles and the number of obtained to-be-selected correction templates are 3600.
Specifically, after determining the relative position of the flat plate and the bulb tube when the target image to be corrected is acquired, the target correction template corresponding to the target image can be selected from the correction templates to be corrected based on the relative position and the positions corresponding to the correction templates 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 at least two candidate correction templates based on the relative position includes: and selecting a position adjacent to the relative position when the target image is acquired from the positions based on the positions corresponding to the at least two to-be-selected correction templates, and determining the to-be-selected correction template corresponding to the adjacent position as the target correction template.
Optionally, the relative position includes at least one of a relative rotation angle, a relative tilt angle, and a relative placement distance; correspondingly, determining at least one target correction template corresponding to the target image from at least two candidate correction templates based on the relative position, wherein the at least one target correction template 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 the at least two to-be-selected correction templates based on the relative placement distance.
In one embodiment, at least one target correction template corresponding to the target image may be further determined from at least two target correction templates based on a preset template selection rule and a relative rotation angle. The preset template selection rule may be predetermined based on correction results of the target image collected at each relative position and each correction template to be selected. Optionally, the preset template selection rule may be to specify a corresponding target correction template for each relative position interval; a corresponding target correction template may be assigned to each relative position. The preset template selection rule may be that a relative rotation angle within 0 ° to 45 ° adopts a correction template to be selected corresponding to a relative rotation angle of 20 °; or when the relative rotation angle is 100 degrees, adopting a to-be-selected correction template corresponding to the relative rotation angle of 135 degrees.
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 to-be-selected correction templates based on a preset template selection rule and a relative placement distance.
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 the at least two candidate correction templates based on the relative position, including: at least one target correction template corresponding to the target image is determined from the at least two candidate correction templates based on at least two of the relative rotation angle, the relative tilt angle, and the relative placement distance. The correction template to be selected may be a correction template generated based on at least two of a preset relative rotation angle, a relative inclination angle, and a relative placement distance.
In one 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 a position interval corresponding to each preset standard relative position based on each preset standard relative position; determining a position interval in which the relative position is located; determining a preset standard relative position corresponding to a position interval where the relative position is located as a preset standard relative position associated with the relative position; and determining the to-be-selected correction template corresponding to the preset standard relative position related to the relative position as a target correction template.
For example, taking a relative position including a relative rotation angle as an example, the preset standard relative positions include 0 °, 90 °, 180 ° and 270 °, and the position intervals corresponding to the preset standard relative positions are respectively: -45 DEG to 45 DEG, 46 DEG to 135 DEG, 136 DEG to 225 DEG, 226 DEG to 315 deg.
S130, correcting the target image based on at least one target correction template.
Specifically, after the target correction template is determined, correction processing may be performed on the target image 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 correction processing may be performed on the target image based on each target correction template, so as to obtain correction results corresponding to a plurality of target correction templates. And displaying the correction results corresponding to the target correction templates. Alternatively, an average image of each target correction template may be obtained, and correction processing may be performed on the target image based on the average image, so as to obtain a correction result corresponding to the average image. And displaying the correction result corresponding to the average image.
In one embodiment, the correction processing is performed on the target image based on at least one target correction template, satisfying the following formula:
I′(x,y)＝I(x,y)×M(x,y)；
Wherein I 'is an image after the target image correction processing, I is a target image to be corrected, M is a target correction template corresponding to the target image, I' (x, y) represents a gray value of a pixel at a position (x, y) in the image after the correction processing, I (x, y) represents a gray value of a pixel at a position (x, y) in the target image, and M (x, y) represents a gray value of a pixel at a position (x, y) in the target correction template.
When the number of the target correction templates is plural, I' (x, y) corresponding to each of the plural target correction templates may be obtained based on each of the target correction templates; an average image may also be determined based on each target correction template, with the average image being M (x, y), and I' (x, y) determined based on the average image.
In one embodiment, performing correction processing on a target image based on at least one target correction template includes: and carrying out dark field processing on the target correction template, and carrying out correction processing on the target image based on the target correction template after dark field processing. Wherein, the dark field processing may be to subtract the dark field image from the target correction template to eliminate a dark field portion due to dark current in the target correction template. Optionally, the correcting process is performed on the target image based on at least one target correction template, and further includes: at least one of tissue equalization processing, contrast equalization processing, filtering processing, gradation conversion, and tone adjustment is performed on the corrected target image to improve the image quality of the corrected target image.
According to the technical scheme, the relative positions of the flat plate and the bulb tube are determined when the target image is acquired, the target correction template corresponding to the target image is determined from at least two to-be-selected correction templates according to the relative positions, and correction processing is carried out on the target image based on the target correction template, so that the correction template is determined in real time according to the relative positions of the flat plate, the corresponding correction template is automatically selected to correct the image when the relative positions of the flat plate change, the technical problem of image uniformity reduction caused by the position change 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 flow chart of an image correction method according to a second embodiment of the present invention, where, based on the above embodiments, optionally, determining at least one target correction template corresponding to a target image from at least two to-be-selected correction templates based on a relative position includes: determining a position difference between the relative position and at least one preset standard relative position; determining a preset standard relative position related to the relative position based on each position difference; and determining the to-be-selected correction template corresponding to the preset standard relative position related to the relative position as a target correction template.
Wherein the explanation of the same or corresponding terms as those of the above embodiments is not repeated herein. Referring to fig. 2, the image correction method provided in the present embodiment includes the following steps:
s210, 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.
S220, determining a position difference between the relative position and at least one preset standard relative position.
The position difference may be an absolute value of a position difference between the relative position and a preset standard relative position. For example, taking a relative position including a relative rotation angle as an example, if the preset standard rotation angle (preset standard relative position) includes 0 °, 45 °, 90 °, 135 °, 180 °, 225 °, and 270 °, it is determined that the relative rotation angle of the flat plate and the bulb is 20 ° when the target image is acquired, the respective position differences are 20 °, 25 °, 70 °, 115 °, 160 °, 205 °, and 250 °, respectively; if the preset standard rotation angle (preset standard relative position) includes each integer of 0 ° to 359 °, the relative rotation angle between the flat plate and the bulb tube is 20 ° when the target image is acquired, and the position difference between the relative rotation angle and the preset standard rotation angle (preset standard relative position) 20 ° is 0 °.
S230, determining a preset standard relative position related to the relative position based on each position difference; and determining the to-be-selected correction template corresponding to the preset standard relative position related to the relative position as a target correction template.
In one embodiment, determining a preset standard relative position of the relative position association based on each position gap comprises: and determining the preset standard relative position corresponding to the minimum position difference as the preset standard relative position related to the relative position.
Along the above example, when the respective position differences are 20 °, 25 °, 70 °, 115 °, 160 °, 205 °, and 250 °, respectively, the preset standard relative position 0 ° corresponding to 20 ° is determined as the preset standard relative position corresponding to the relative position 20 °. It should be noted that the number of preset standard relative positions associated with the relative positions determined in this manner may be one or more.
In another embodiment, determining a preset standard relative position of the relative position association based on each position gap includes: comparing each position gap with a preset position gap threshold value, and determining a preset standard relative position corresponding to the position gap smaller than the preset position gap threshold value as a preset standard relative position related to the relative position. It should be noted that, the preset position difference threshold may be set based on a difference between the preset standard relative positions, which is not limited in the present application; the number of the preset standard relative positions correlated with the relative positions determined in this way may be one or a plurality of.
Specifically, after determining the preset standard relative position associated with the relative position, determining the to-be-selected correction template corresponding to the preset standard relative position associated with the relative position as the target correction template. Along the above example, a correction template to be selected, which is generated in advance based on a preset standard relative position of 0 °, is determined as a target correction template.
S240, correcting the target image based on at least one target correction template.
According to the technical scheme, the position difference between the relative positions of the flat plate and the bulb tube and the preset standard relative positions when the target image is acquired is determined, the preset standard relative positions related to the relative positions are determined based on the position difference, and the to-be-selected correction template corresponding to the preset standard relative positions is further 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 positions, the technical problem of reduced image uniformity caused by the position change 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 flow chart of an image correction method according to a third embodiment of the present invention, where, based on the above embodiments, optionally, determining at least one target correction template corresponding to a target image from at least two to-be-selected correction templates based on a relative position 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 the explanation of the same or corresponding terms as those of the above embodiments is not repeated herein. Referring to fig. 3, the image correction method provided in the present embodiment includes the following steps:
s310, 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.
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 that the correction is performed by using the correction template to be selected of the preset standard relative position with the minimum position difference under the partial relative position, there may be a case that the correction result is not the optimal correction result. Thus, the target correction template may be determined based on the candidate correction templates corresponding to at least two preset standard relative positions adjacent to the relative position, to avoid that the closest candidate correction template of the preset standard relative position is not the optimal correction template.
Optionally, determining the at least two preset standard relative positions adjacent to the relative position includes: determining the position difference between each preset standard relative position and the corresponding position, generating a sorting list with gradually increased position difference based on each position difference, and determining the preset standard relative position corresponding to the front N position differences in the sorting list as the adjacent preset standard relative position. Where N may be any natural number greater than 1.
Illustratively, taking the relative positions including the relative rotation angles as examples, the preset standard relative positions include 0 °, 45 °, 90 °, 135 °, 180 °, 225 °, and 270 °, the preset standard relative positions adjacent to the relative positions of 20 ° include 0 ° and 45 °, and the preset standard relative positions adjacent to the relative positions of 285 ° include 270 ° and 0 °. In one case, the preset standard relative positions adjacent to each other with a relative position of 44 ° include 0 °, 45 °, and 90 °.
Specifically, the to-be-selected correction templates corresponding to the adjacent at least two preset standard relative positions can be determined as target correction templates. The target correction template can also be determined based on the correction effect of the 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 at least two preset criteria includes: pre-correcting the target image based on 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 process may be a simple correction process for the target image based on the correction template to be selected. For example, the pre-correction process may be a correction process performed only on the target image, excluding a dark field process, a tissue equalization process, a contrast equalization process, a filter process, a gradation conversion, and a tone adjustment. After pre-correction processing is performed on the target image based on each of the correction templates to be selected, the target correction template is determined by comparing the results of each of the pre-correction processing. For example, the comparison of the results of each pre-correction process may be achieved by calculating the density uniformity of the target image after the pre-correction process.
In this alternative embodiment, the pre-correction processing is performed separately according to each correction template to be selected, so as to determine the target correction template based on the result of each pre-correction processing, which has the advantages that: the correction template with the optimal correction effect can be determined through automatic comparison of the pre-correction effects of the plurality of correction templates to be selected, and therefore correction accuracy 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 at least two preset criteria includes: pre-correcting the target image based on to-be-selected correction templates corresponding to at least two 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 the displayed pre-correction processing results, and determining a target correction template based on the template selection instruction.
Wherein the template selection instruction may be an instruction for determining a target correction template. The template selection instruction may be generated in various manners, for example, may be generated based on information edited by a user in a command line, or generated based on information selected by the user in a preset selection tag, or generated based on clicking operation of the user. The template selection instructions may include instructions to select a target correction template and/or to delete correction templates other than the target correction template.
In this alternative embodiment, the benefits of presenting the results of each pre-correction process of the target image to the user, and determining the target correction template based on the template selection instruction, are: the method can realize the determination of the correction template with the optimal correction effect by displaying the pre-correction effects of a plurality of correction templates to be selected and determining the target correction template based on the operation of the user, thereby greatly improving the correction precision of the image.
S330, correcting the target image based on at least one target correction template.
According to the technical scheme, 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 plurality of to-be-selected correction templates, the correction precision of the image is greatly improved, and the image quality is further improved.
Example IV
Fig. 4 is a schematic structural diagram of an image correction device according to a fourth embodiment of the present invention, where the present embodiment 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, and the device specifically includes: an image acquisition module 410, a template determination module 420, and an image correction template 430.
The image acquisition module 410 is configured to acquire a target image to be corrected, and determine a relative position between the flat plate and the bulb tube when the target image is acquired;
the template determining module 420 is configured to determine 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;
the image correction module 430 is 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 tilt angle, and a relative placement distance. The template determination module 420 includes a rotation template determination unit, an inclination template determination unit, and a distance template determination unit; the rotation template determining unit is used for determining at least one target correction template corresponding to the target image from at least two to-be-selected correction templates based on the relative rotation angle; the inclination 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 to-be-selected correction templates based on the relative placement distance.
Optionally, the image correction device further comprises a template generation module, wherein the template generation module comprises 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 template to be selected generating unit is used for generating a correction template to be selected corresponding to each preset standard relative position based on at least two preset standard relative positions.
Optionally, the preset standard relative position includes a preset collection angle, and the to-be-selected template generating unit is specifically configured to generate, for each preset collection angle, a to-be-selected correction template corresponding to each preset collection angle.
Optionally, the template determining module 420 includes a gap template determining unit for determining a position gap between the relative position and at least one preset standard relative position; determining a preset standard relative position related to the relative position based on each position difference; and determining the to-be-selected correction template corresponding to the preset standard relative position related to 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 pre-calibrate the target image based on the to-be-selected correction templates corresponding to 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 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 the displayed pre-correction processing results, and determining a target correction template based on the template selection instruction.
In this embodiment, the relative position of the flat plate and the bulb tube when the target image is acquired is determined by the image acquisition module, the target correction template corresponding to the target image is determined from at least two to-be-selected correction templates according to the relative position by the template determination module, and the target image is corrected by 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, and the correction of the image by automatically selecting the corresponding correction template when the relative position of the flat plate changes is realized, the technical problem of reduced uniformity of the image 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 the corresponding functional modules and beneficial effects of the execution method.
It should be noted that, the units and modules included in the above system are only divided according to the functional logic, but not limited to the above division, so long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the embodiments of the present 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 merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention. Device 12 is typically an electronic device that assumes image correction functionality.
As shown in fig. 5, the electronic device 12 is in the form of a general purpose computing device. Components of the 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 connecting the different components, including the memory 28 and the processing unit 16.
Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry standard architecture (Industry StandardArchitecture, ISA) bus, micro channel architecture (Micro Channel Architecture, MCA) bus, enhanced ISA bus, video electronics standards association (Video Electronics StandardsAssociation, VESA) local bus, and peripheral component interconnect (Peripheral Component Interconnect, PCI) bus.
Electronic device 12 typically includes a variety of computer-readable media. Such media can 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 (RandomAccess 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, storage device 34 may be used to read from or write to a non-removable, non-volatile magnetic media (not shown in FIG. 5, commonly referred to as a "hard disk drive"). Although not shown in fig. 5, a 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 and writing to a removable nonvolatile optical disk (e.g., a Compact Disc-Read Only Memory (CD-ROM), digital versatile Disc (Digital Video Disc-Read Only Memory, DVD-ROM), or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product 40, with program product 40 having a set of program modules 42 configured to perform the functions of embodiments of the present invention. Program product 40 may be stored, for example, in memory 28, such program modules 42 include, but are not limited to, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.
The electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, mouse, camera, etc., and display), with one or more devices that enable a user to interact with the electronic device 12, and/or with any device (e.g., network card, modem, etc.) that enables the electronic device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Also, the electronic device 12 may communicate with one or more networks such as a local area network (LocalAreaNetwork, LAN), a wide area network WideAreaNetwork, 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 over the bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, disk array (RedundantArrays ofIndependent Disks, RAID) devices, tape drives, data backup storage devices, and the like.
The processor 16 executes various functional applications and data processing by running a program stored in the memory 28, for example, to implement 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 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;
the target image is corrected 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 in any embodiment of the present invention.
Example six
A sixth embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the image correction method as provided by any embodiment of the present invention, the 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;
the target image is corrected based on at least one target correction template. The computer storage media of embodiments of the invention may take the form of 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. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any 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 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.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. 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 ++ 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 kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. 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, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following 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, wherein the relative position comprises at least one of a relative rotation angle, a relative inclination angle and a relative placement distance;
determining at least one target correction template corresponding to the target image from at least two to-be-selected correction templates based on the relative positions, wherein the to-be-selected correction templates are correction templates corresponding to a preset flat plate and a bulb tube at a certain relative position;
And correcting the target image based on at least one target correction template.
2. The method according to claim 1, wherein the method further comprises:
determining the relative positions of at least two preset standards;
and generating a to-be-selected correction template 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 positions include preset acquisition angles, and the generating the to-be-selected correction templates corresponding to each of the preset standard relative positions based on at least two preset standard relative positions includes:
and generating a to-be-selected correction template corresponding to each preset acquisition angle aiming at each preset acquisition angle.
4. The method of 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 position gap;
And determining the to-be-selected correction template corresponding to the preset standard relative position related to the relative position as a target correction template.
5. The method of 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 of claim 5, wherein the determining the target correction template based on the candidate correction templates corresponding to the relative positions of the at least two preset criteria comprises:
pre-correcting the target image based on to-be-selected correction templates corresponding to at least two 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 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:
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 to-be-selected correction templates based on the relative placement distance.
8. An image correction apparatus, 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, wherein the relative position comprises at least one of a relative rotation angle, a relative inclination angle and a relative placement distance;
the template determining module is used for determining at least one target correction template corresponding to the target image from at least two to-be-selected correction templates based on the relative position, wherein the to-be-selected correction templates are correction templates corresponding to a preset flat plate and a bulb tube at a certain 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, the electronic device comprising:
one or more processors;
storage means for storing one or more programs,
the 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 of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the image correction method as claimed in any one of claims 1-7.
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