CN113077375A - Image acquisition method, image acquisition device, electronic device, and storage medium - Google Patents
Image acquisition method, image acquisition device, electronic device, and storage medium Download PDFInfo
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- 210000000214 mouth Anatomy 0.000 claims description 9
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- 238000007408 cone-beam computed tomography Methods 0.000 description 8
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- G06T1/00—General purpose image data processing
- G06T1/0007—Image acquisition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4053—Super resolution, i.e. output image resolution higher than sensor resolution
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
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- G06T2207/10081—Computed x-ray tomography [CT]
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Abstract
The present disclosure provides an image acquisition method, including: acquiring a plurality of sub-image data of a subject; carrying out resolution expansion processing on each sub-image data; acquiring the overlapping relation among the sub-image data, and acquiring a two-dimensional weight matrix of each sub-image data based on the overlapping relation; weighting each sub-image data based on the two-dimensional weight matrix of each sub-image data to obtain weighted sub-image data of each sub-image data; and combining the weighted sub-image data to obtain a target image. The disclosure also provides an image acquisition apparatus, an electronic device, and a readable storage medium.
Description
Technical Field
The present disclosure relates to image capturing technologies, and in particular, to an image capturing method, an image capturing apparatus, an electronic device, and a storage medium.
Background
In the prior art, medical images are generally taken by using a traditional large-field detector, or a single set of imaging system in an oral CBCT system (cone-beam computed tomography system).
However, large field-of-view detectors are generally bulky, cannot be independently mounted or variably assembled as needed, and have a high cost. When a small-field detector is used, the comprehensive shooting of the normal position and the lateral position cannot be carried out.
Disclosure of Invention
In order to solve at least one of the above technical problems, the present disclosure provides an image acquisition method, an image acquisition system, an image acquisition apparatus, an electronic device, and a storage medium.
According to an aspect of the present disclosure, there is provided an image acquisition method including:
acquiring a plurality of sub-image data of a subject;
carrying out resolution expansion processing on each sub-image data;
acquiring the overlapping relation among the sub-image data, and acquiring a two-dimensional weight matrix of each sub-image data based on the overlapping relation;
weighting each sub-image data based on the two-dimensional weight matrix of each sub-image data to obtain weighted sub-image data of each sub-image data; and
and combining the weighted sub-image data to obtain a target image.
According to an image acquisition method of at least one embodiment of the present disclosure, acquiring a plurality of sub-image data of a subject includes:
the radiation source emits ray beams to a shot object; and the number of the first and second groups,
the detector detects the ray bundle passing through the shot object, and acquires sub-image data at a plurality of relative positions of the radiation source and the detector respectively so as to acquire a plurality of sub-image data.
According to the image acquisition method of at least one embodiment of the present disclosure, performing resolution expansion processing on each sub-image data includes:
the initial image resolution of each sub-image data is increased to the extended image resolution.
According to the image acquisition method of at least one embodiment of the present disclosure, acquiring an overlapping relationship between sub-image data, and acquiring a two-dimensional weight matrix of each sub-image data based on the overlapping relationship, includes:
acquiring at least one overlapping area of each sub-image data with other sub-image data, and obtaining a two-dimensional weight matrix of each sub-image data based on the at least one overlapping area of each sub-image data.
According to the image acquisition method of at least one embodiment of the present disclosure, the two-dimensional weight matrix is a weight matrix of each sub-image data in a preset target image area.
According to an image acquisition method of at least one embodiment of the present disclosure, increasing an initial image resolution of each sub-image data to an extended image resolution includes:
and performing resolution expansion processing on each sub-image data in a first direction and a second direction, wherein the first direction is perpendicular to the second direction.
According to an image acquisition method of at least one embodiment of the present disclosure, the plurality of relative positions are two relative positions.
According to an image acquisition method of at least one embodiment of the present disclosure, the plurality of relative positions is four relative positions.
According to the image acquisition method of at least one embodiment of the present disclosure, the target image is an oral cavity positive bitmap or an oral cavity side bitmap.
According to the image acquisition method of at least one embodiment of the present disclosure, each of the sub-image data is partial image data of the subject.
According to the image acquisition method of at least one embodiment of the present disclosure, the plurality of sub-image data have the same initial image resolution.
According to an image acquisition method of at least one embodiment of the present disclosure, an initial image resolution of each sub-image data is increased to the same extended image resolution.
According to an image acquisition method of at least one embodiment of the present disclosure, the plurality of relative positions of the radiation source and the detector are obtained by driving the radiation source and/or the detector.
According to an image acquisition method of at least one embodiment of the present disclosure, the radiation source is an X-ray source.
According to an image acquisition method of at least one embodiment of the present disclosure, the radiation beam is a cone beam.
According to another aspect of the present disclosure, there is provided an image acquisition system including:
a detector for acquiring a plurality of sub-image data of a subject to be photographed; and the number of the first and second groups,
the processing device carries out resolution expansion processing on the sub-image data to obtain the overlapping relation among the sub-image data, obtains a two-dimensional weight matrix of each sub-image data based on the overlapping relation, carries out weighting processing on each sub-image data based on the two-dimensional weight matrix of each sub-image data to obtain the weighted sub-image data of each sub-image data, and combines each weighted sub-image data to obtain a target image.
An image acquisition system according to at least one embodiment of the present disclosure further includes a radiation source that emits a radiation beam toward a subject to be photographed.
According to the image acquisition system of at least one embodiment of the present disclosure, the detector detects the ray bundle passing through the object to be photographed, and the sub-image data is acquired at a plurality of relative positions of the radiation source and the detector, respectively, to acquire a plurality of sub-image data.
According to the image acquisition system of at least one embodiment of the present disclosure, the detector converts the ray bundle passing through the object into an electric signal to acquire a plurality of sub-image data of the object.
According to the image acquisition system of at least one embodiment of the present disclosure, the detector is preferably an X-ray flat panel detector.
According to an image acquisition system of at least one embodiment of the present disclosure, the processing device acquires an overlap relationship between respective sub-image data, and based on the overlap relationship, obtains a two-dimensional weight matrix for each sub-image data, including:
acquiring at least one overlapping area of each sub-image data with other sub-image data, and obtaining a two-dimensional weight matrix of each sub-image data based on the at least one overlapping area of each sub-image data.
According to the image acquisition system of at least one embodiment of the present disclosure, the two-dimensional weight matrix is a weight matrix of each sub-image data in a preset target image area.
According to still another aspect of the present disclosure, there is provided an image acquisition method including:
performing resolution expansion processing on the acquired plurality of sub-image data of the photographed object;
acquiring the overlapping relation among the sub-image data, and acquiring a two-dimensional weight matrix of each sub-image data based on the overlapping relation;
weighting each sub-image data based on the two-dimensional weight matrix of each sub-image data to obtain weighted sub-image data of each sub-image data; and the number of the first and second groups,
and combining the weighted sub-image data to obtain a target image.
According to an image acquisition method of at least one embodiment of the present disclosure, the plurality of sub-image data of the subject is sub-image data acquired at a plurality of relative positions of the radiation source and the detector, respectively.
According to the image acquisition method of at least one embodiment of the present disclosure, performing resolution expansion processing on each sub-image data includes:
the initial image resolution of each sub-image data is increased to the extended image resolution.
According to the image acquisition method of at least one embodiment of the present disclosure, acquiring an overlapping relationship between sub-image data, and acquiring a two-dimensional weight matrix of each sub-image data based on the overlapping relationship, includes:
acquiring at least one overlapping area of each sub-image data with other sub-image data, and obtaining a two-dimensional weight matrix of each sub-image data based on the at least one overlapping area of each sub-image data.
According to the image acquisition method of at least one embodiment of the present disclosure, the two-dimensional weight matrix is a weight matrix of each sub-image data in a preset target image area.
According to an image acquisition method of at least one embodiment of the present disclosure, increasing an initial image resolution of each sub-image data to an extended image resolution includes:
and performing resolution expansion processing on each sub-image data in a first direction and a second direction, wherein the first direction is perpendicular to the second direction.
According to still another aspect of the present disclosure, there is provided an image acquisition apparatus including:
the resolution expansion module is used for carrying out resolution expansion processing on the acquired plurality of sub-image data of the shot object;
the weight matrix generation module acquires the overlapping relation among the sub-image data and acquires a two-dimensional weight matrix of each sub-image data based on the overlapping relation;
the weighting processing module is used for weighting the sub-image data based on the two-dimensional weight matrix of the sub-image data to obtain weighted sub-image data of each sub-image data; and the number of the first and second groups,
and the combination processing module combines the weighted sub-image data to obtain a target image.
According to the image acquisition apparatus of at least one embodiment of the present disclosure, the resolution expansion module performs resolution expansion processing on each sub-image data, including:
the initial image resolution of each sub-image data is increased to the extended image resolution.
According to the image obtaining apparatus of at least one embodiment of the present disclosure, the weight matrix generation module obtains an overlap relationship between the sub-image data, and obtains a two-dimensional weight matrix of each sub-image data based on the overlap relationship, including:
acquiring at least one overlapping area of each sub-image data with other sub-image data, and obtaining a two-dimensional weight matrix of each sub-image data based on the at least one overlapping area of each sub-image data.
According to the image acquisition apparatus of at least one embodiment of the present disclosure, the two-dimensional weight matrix is a weight matrix of each sub-image data in a preset target image area.
According to an image acquisition apparatus of at least one embodiment of the present disclosure, increasing an initial image resolution to an extended image resolution of each sub-image data includes:
and performing resolution expansion processing on each sub-image data in a first direction and a second direction, wherein the first direction is perpendicular to the second direction.
According to yet another aspect of the present disclosure, there is provided an electronic device including:
a memory storing execution instructions; and the number of the first and second groups,
a processor executing execution instructions stored by the memory to cause the processor to perform any of the methods described above.
According to yet another aspect of the present disclosure, there is provided a readable storage medium having stored therein execution instructions for implementing any of the above methods when executed by a processor.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the disclosure and together with the description serve to explain the principles of the disclosure.
Fig. 1 is a schematic flow diagram of an image acquisition method according to one embodiment of the present disclosure.
Fig. 2 is a schematic flow diagram of an image acquisition method according to yet another embodiment of the present disclosure.
Fig. 3 is a flow diagram of an image acquisition method according to yet another embodiment of the present disclosure.
Fig. 4 is a flow diagram of an image acquisition method according to yet another embodiment of the present disclosure.
Fig. 5 is a schematic diagram of an overlapping region of an image acquisition method according to one embodiment of the present disclosure.
FIG. 6 is a schematic structural diagram of an image acquisition system according to one embodiment of the present disclosure.
Fig. 7 is a schematic configuration diagram of a processing device in the form of an electronic device according to an embodiment of the present disclosure.
Description of the reference numerals
300 image acquisition system
301 radiation source
302 probe
303 first supporting device
304 first driving device
305 second support device
306 second drive means
310 processing device
1002 resolution expansion module
1004 weight matrix generation module
1006 weighting processing module
1008 combined processing module
3002 resolution expansion module
3004 weight matrix generation module
3006 weighting processing module
3008 Combined processing Module
3100 bus
3200 processor
3300 memory
3400 other circuits.
Detailed Description
The present disclosure will be described in further detail with reference to the drawings and embodiments. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not to be construed as limitations of the present disclosure. It should be further noted that, for the convenience of description, only the portions relevant to the present disclosure are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict. Technical solutions of the present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Unless otherwise indicated, the illustrated exemplary embodiments/examples are to be understood as providing exemplary features of various details of some ways in which the technical concepts of the present disclosure may be practiced. Accordingly, unless otherwise indicated, features of the various embodiments may be additionally combined, separated, interchanged, and/or rearranged without departing from the technical concept of the present disclosure.
The use of cross-hatching and/or shading in the drawings is generally used to clarify the boundaries between adjacent components. As such, unless otherwise noted, the presence or absence of cross-hatching or shading does not convey or indicate any preference or requirement for a particular material, material property, size, proportion, commonality between the illustrated components and/or any other characteristic, attribute, property, etc., of a component. Further, in the drawings, the size and relative sizes of components may be exaggerated for clarity and/or descriptive purposes. While example embodiments may be practiced differently, the specific process sequence may be performed in a different order than that described. For example, two processes described consecutively may be performed substantially simultaneously or in reverse order to that described. In addition, like reference numerals denote like parts.
When an element is referred to as being "on" or "on," "connected to" or "coupled to" another element, it can be directly on, connected or coupled to the other element or intervening elements may be present. However, when an element is referred to as being "directly on," "directly connected to" or "directly coupled to" another element, there are no intervening elements present. For purposes of this disclosure, the term "connected" may refer to physically, electrically, etc., and may or may not have intermediate components.
The terminology used herein is for the purpose of describing particular embodiments and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Furthermore, when the terms "comprises" and/or "comprising" and variations thereof are used in this specification, the presence of stated features, integers, steps, operations, elements, components and/or groups thereof are stated but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof. It is also noted that, as used herein, the terms "substantially," "about," and other similar terms are used as approximate terms and not as degree terms, and as such, are used to interpret inherent deviations in measured values, calculated values, and/or provided values that would be recognized by one of ordinary skill in the art.
Fig. 1 is a schematic flow diagram of an image acquisition method according to one embodiment of the present disclosure. Fig. 2 is a schematic flow diagram of an image acquisition method according to yet another embodiment of the present disclosure. Fig. 3 is a flow diagram of an image acquisition method according to yet another embodiment of the present disclosure. Fig. 4 is a flow diagram of an image acquisition method according to yet another embodiment of the present disclosure. Fig. 5 is a schematic diagram of an overlapping region of an image acquisition method according to one embodiment of the present disclosure. FIG. 6 is a schematic structural diagram of an image acquisition system according to one embodiment of the present disclosure. Fig. 7 is a schematic configuration diagram of a processing device in the form of an electronic device according to an embodiment of the present disclosure.
The image acquisition method, the image acquisition system, the image acquisition apparatus, the electronic device, and the storage medium of the present disclosure are described in detail below with reference to fig. 1 to 7.
As shown in fig. 1, according to one embodiment of the present disclosure, an image acquisition method 100 includes:
102. acquiring a plurality of sub-image data of a subject;
104. carrying out resolution expansion processing on each sub-image data;
106. acquiring the overlapping relation among the sub-image data, and acquiring a two-dimensional weight matrix of each sub-image data based on the overlapping relation;
108. weighting each sub-image data based on the two-dimensional weight matrix of each sub-image data to obtain weighted sub-image data of each sub-image data; and the number of the first and second groups,
110. and combining the weighted sub-image data to obtain a target image.
By the image acquisition method, the small-area detector (small-field detector) can comprehensively shoot the shot object (the shot object can be a part of a human body, such as a head part, a cavity part and the like).
The image acquisition method can be directly used for the oral CBCT system in the prior art, and can realize the comprehensive shooting of the oral cavity by directly using the small-area detector in the oral CBCT system.
With the image acquisition method 100 of the above embodiment, acquiring a plurality of sub-image data of a subject may include:
the radiation source emits ray beams to a shot object, the detector detects the ray beams passing through the shot object, and sub-image data are respectively acquired at a plurality of relative positions of the radiation source and the detector to acquire a plurality of sub-image data.
With the image acquisition method 100 of the above embodiment, preferably, the resolution expansion processing is performed on each sub-image data, and includes:
the initial image resolution of each sub-image data is increased to the extended image resolution.
For example, the initial image resolution of each sub-image data is (M, N), and the extended image resolution is (M, N), where M > M, N > N.
With the image acquisition method 100 of each of the above embodiments, preferably, the plurality of relative positions are two relative positions, and more preferably, the plurality of relative positions are four relative positions. The number of relative positions can be suitably adjusted by those skilled in the art.
According to a preferred embodiment of the present disclosure, as shown in fig. 2, the image acquisition method 100 includes:
102. acquiring a plurality of sub-image data of a subject;
104. carrying out resolution expansion processing on each sub-image data;
106. acquiring at least one overlapping area of each sub-image data and other sub-image data, and acquiring a two-dimensional weight matrix of each sub-image data based on the at least one overlapping area of each sub-image data;
108. weighting each sub-image data based on the two-dimensional weight matrix of each sub-image data to obtain weighted sub-image data of each sub-image data; and the number of the first and second groups,
110. and combining the weighted sub-image data to obtain a target image.
Fig. 5 schematically shows an overlapping area.
As shown in fig. 5, a is the first sub-image data, and B is the second sub-image data, the radiation source and the detector having a first relative position when the first sub-image data is obtained, and the radiation source and the detector having a second relative position when the second sub-image data is obtained.
The first relative position and the second relative position may be formed by the radiation source having the same position, the detector having a different position, and the detector having the same vertical position, a different horizontal position.
As shown in fig. 5, the C region is an overlap region for the first sub-image data, and the C region is an overlap region for the second sub-image data.
For the first sub-image data a, the weight of the non-C region may be 100%, and the weight of the C region may be 50%, and for the second sub-image data B, the weight of the non-C region may be 100%, and the weight of the C region may be 50%.
Preferably, for each sub-image data in the embodiments of the present disclosure, the two-dimensional weight matrix of each sub-image data is a smooth gradual curve when represented by a curve, so that the effect of the target image acquired in the embodiments of the present disclosure is better.
Fig. 5 shows an exemplary weighting curve a for the first partial image data a and a weighting curve B for the second partial image data B.
With the image acquisition method 100 of the above embodiments, preferably, the two-dimensional weight matrix is a weight matrix of each sub-image data in a preset target image area.
The preset target image area is an imaging area of a preset shot object, and the target image is a combined image of the sub-image data.
For the image acquisition method 100 of each of the above embodiments, preferably, increasing the initial image resolution of each of the sub-image data to the extended image resolution includes:
and performing resolution expansion processing on each sub-image data in a first direction and a second direction, wherein the first direction is perpendicular to the second direction.
In each of the above embodiments, the target image may be an oral cavity positive image or an oral cavity side image.
In the above embodiments, each of the sub-image data is partial image data of the subject.
With the image acquisition method 100 of each of the above embodiments, it is preferable that the plurality of sub-image data have the same initial image resolution.
With the image acquisition method 100 of each of the above embodiments, it is preferable to increase the initial image resolution of each sub-image data to the same extended image resolution.
For the image acquisition method 100 of each of the above embodiments, preferably, a plurality of relative positions of the radiation source and the detector are obtained by driving the radiation source and/or the detector.
For the image acquisition method 100 of each of the above embodiments, the radiation source is an X-ray source and the radiation beam is a cone beam.
The present disclosure also provides an image acquisition system.
Fig. 6 is an image acquisition system 300 of one embodiment of the present disclosure, comprising:
a detector 302, the detector 302 is used for acquiring a plurality of sub-image data of the shot object; and the number of the first and second groups,
the processing device 310 performs resolution expansion processing on each sub-image data to obtain an overlapping relationship between each sub-image data, obtains a two-dimensional weight matrix of each sub-image data based on the overlapping relationship, performs weighting processing on each sub-image data based on the two-dimensional weight matrix of each sub-image data to obtain weighted sub-image data of each sub-image data, and combines each weighted sub-image data to obtain a target image.
The image acquisition system 300 according to the above embodiment further includes the radiation source 301, and the radiation source 301 emits a radiation beam toward the subject.
With the image acquisition system 300 of the above embodiment, the detector 302 detects the radiation beam passing through the subject, and sub-image data is acquired at a plurality of relative positions of the radiation source 301 and the detector 302, respectively, to acquire a plurality of sub-image data.
As shown in fig. 6, the radiation source 301 may be supported by a first supporting means 303, and the first driving means 304 performs a multiple degree of freedom motion control of the first supporting means 303 based on a control signal from the processing means 310 or based on a control signal directly input to the first driving means 304 from the outside, so that the radiation source 301 can be driven to different positions.
The probe 302 may be supported by the second supporting device 305, and the second driving device 306 controls the second supporting device 305 to move in multiple degrees of freedom based on a control signal from the processing device 310 or a control signal directly input to the second driving device 306 from the outside, so that the probe 302 can be driven to different positions (for example, the probe 302 is driven to move in the up, down, left and right directions in the same plane).
As shown in fig. 6, the image acquisition system 300 may further include a display device to display the plurality of sub-image data, the combined image described above.
Wherein the object to be photographed may also be fixed or supported.
With the image acquisition system 300 of the above embodiment, the detector 302 converts the ray bundle passing through the object into an electric signal to acquire a plurality of sub-image data of the object.
Among them, the detector 302 is preferably an X-ray flat panel detector.
With respect to the image acquisition system 300 of each of the above embodiments, preferably, the processing device 310 acquires the overlapping relationship between the sub-image data, and based on the overlapping relationship, obtains the two-dimensional weight matrix of each sub-image data, including:
acquiring at least one overlapping area of each sub-image data with other sub-image data, and obtaining a two-dimensional weight matrix of each sub-image data based on the at least one overlapping area of each sub-image data.
According to still another preferred embodiment of the present disclosure, the image acquisition method 200 includes:
202. performing resolution expansion processing on the acquired plurality of sub-image data of the photographed object;
204. acquiring the overlapping relation among the sub-image data, and acquiring a two-dimensional weight matrix of each sub-image data based on the overlapping relation;
206. weighting each sub-image data based on the two-dimensional weight matrix of each sub-image data to obtain weighted sub-image data of each sub-image data; and the number of the first and second groups,
208. and combining the weighted sub-image data to obtain a target image.
Fig. 3 shows a flowchart of the image acquisition method 200 of the above embodiment.
With the image acquisition method 200 of the above embodiment, a plurality of sub-image data of the subject are sub-image data acquired at a plurality of relative positions of the radiation source 301 and the detector 302, respectively.
For the image acquisition method 200 of each of the above embodiments, preferably, the resolution expansion processing is performed on each sub-image data, and includes:
the initial image resolution of each sub-image data is increased to the extended image resolution.
Fig. 4 illustrates an image acquisition method 200 according to yet another embodiment of the present disclosure, including:
202. performing resolution expansion processing on the acquired plurality of sub-image data of the photographed object;
204. acquiring at least one overlapping area of each sub-image data and other sub-image data, and acquiring a two-dimensional weight matrix of each sub-image data based on the at least one overlapping area of each sub-image data;
206. weighting each sub-image data based on the two-dimensional weight matrix of each sub-image data to obtain weighted sub-image data of each sub-image data; and the number of the first and second groups,
208. and combining the weighted sub-image data to obtain a target image.
For the image acquisition method 200 of each of the above embodiments, preferably, increasing the initial image resolution of each of the sub-image data to the extended image resolution includes:
and performing resolution expansion processing on each sub-image data in a first direction and a second direction, wherein the first direction is perpendicular to the second direction.
The present disclosure also provides an image acquisition apparatus, which may be implemented by way of a program module.
An image acquisition apparatus according to an embodiment of the present disclosure includes:
a resolution expansion module 1002, wherein the resolution expansion module 1002 performs resolution expansion processing on the acquired plurality of sub-image data of the photographed object;
the weight matrix generation module 1004, the weight matrix generation module 1004 obtains the overlapping relationship between the sub-image data, and obtains a two-dimensional weight matrix of each sub-image data based on the overlapping relationship;
the weighting processing module 1006, based on the two-dimensional weighting matrix of each sub-image data, the weighting processing module 1006 performs weighting processing on each sub-image data to obtain weighted sub-image data of each sub-image data; and the number of the first and second groups,
and the combination processing module 1008, the combination processing module 1008 combines the weighted sub-image data to obtain the target image.
For the image capturing apparatus according to the above embodiment, preferably, the resolution expansion module 1002 performs resolution expansion processing on each sub-image data, including:
the initial image resolution of each sub-image data is increased to the extended image resolution.
For the image acquisition apparatus of each of the above embodiments, preferably, the weight matrix generation module 1004 acquires an overlapping relationship between the sub-image data, and based on the overlapping relationship, obtains a two-dimensional weight matrix for each sub-image data, including:
acquiring at least one overlapping area of each sub-image data with other sub-image data, and obtaining a two-dimensional weight matrix of each sub-image data based on the at least one overlapping area of each sub-image data.
With the image acquisition apparatus of each of the above embodiments, preferably, increasing the initial image resolution of each of the sub-image data to the extended image resolution includes:
and performing resolution expansion processing on each sub-image data in a first direction and a second direction, wherein the first direction is perpendicular to the second direction.
The image acquisition method 200 and the image acquisition device of each embodiment can be directly used for the oral cavity CBCT system in the prior art, so that the CBCT system in the prior art does not need additional auxiliary detectors and the like, the system structure of CBCT is greatly simplified, and the comprehensive shooting of the oral cavity can be realized by using the small-area detector in the CBCT system.
Fig. 7 is a schematic configuration diagram of a processing device in the form of an electronic device according to an embodiment of the present disclosure.
The resolution expansion module 3002, the weight matrix generation module 3004, the weighting processing module 3006, and the combination processing module 3008 shown in fig. 7 constitute the image acquisition apparatus of each of the above embodiments.
The image acquisition means may be comprised within processing means 310 in the form of an electronic device.
As shown in fig. 7, the processing device 310 in the form of an electronic device may include modules corresponding to the respective steps of the image acquisition methods according to the respective embodiments described above.
Thus, each step or several steps of the above-described method may be performed by a respective module, and the processing means 310 in the form of an electronic device may comprise one or more of these modules. The modules may be one or more hardware modules specifically configured to perform the respective steps, or implemented by a processor configured to perform the respective steps, or stored within a computer readable medium for implementation by a processor.
The processing means 310 in the form of an electronic device may be implemented using a bus architecture. The bus architecture may include any number of interconnecting buses and bridges depending on the specific application of the hardware and the overall design constraints. Bus 3100 couples various circuits including one or more processors 3200, memory 3300, and/or hardware modules together. The bus 3100 may also connect various other circuits 3400 such as peripherals, voltage regulators, power management circuits, external antennas, and the like.
The bus 3100 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one connection line is shown, but no single bus or type of bus is shown.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present disclosure includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the implementations of the present disclosure. The processor performs the various methods and processes described above. For example, method embodiments in the present disclosure may be implemented as a software program tangibly embodied in a machine-readable medium, such as a memory. In some embodiments, some or all of the software program may be loaded and/or installed via memory and/or a communication interface. When the software program is loaded into memory and executed by a processor, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the processor may be configured to perform one of the methods described above by any other suitable means (e.g., by means of firmware).
The logic and/or steps represented in the flowcharts or otherwise described herein may be embodied in any readable storage medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.
For the purposes of this description, a "readable storage medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the readable storage medium include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable read-only memory (CDROM). In addition, the readable storage medium may even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in the memory.
It should be understood that portions of the present disclosure may be implemented in hardware, software, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps of the method implementing the above embodiments may be implemented by hardware that is instructed to be associated with a program, which may be stored in a readable storage medium, and which, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present disclosure may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a readable storage medium. The storage medium may be a read-only memory, a magnetic or optical disk, or the like.
The present disclosure also provides an electronic device, including: a memory storing execution instructions; and a processor or other hardware module that executes the execution instructions stored by the memory, causing the processor or other hardware module to perform the above-described methods.
The present disclosure also provides a readable storage medium having stored therein execution instructions, which when executed by a processor, are used to implement the above-mentioned method.
In the description herein, reference to the description of the terms "one embodiment/implementation," "some embodiments/implementations," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment/implementation or example is included in at least one embodiment/implementation or example of the present application. In this specification, the schematic representations of the terms described above are not necessarily the same embodiment/mode or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments/modes or examples. Furthermore, the various embodiments/aspects or examples and features of the various embodiments/aspects or examples described in this specification can be combined and combined by one skilled in the art without conflicting therewith.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
It will be understood by those skilled in the art that the foregoing embodiments are merely for clarity of illustration of the disclosure and are not intended to limit the scope of the disclosure. Other variations or modifications may occur to those skilled in the art, based on the foregoing disclosure, and are still within the scope of the present disclosure.
Claims (31)
1. An image acquisition method, comprising:
acquiring a plurality of sub-image data of a subject;
carrying out resolution expansion processing on each sub-image data;
acquiring the overlapping relation among the sub-image data, and acquiring a two-dimensional weight matrix of each sub-image data based on the overlapping relation;
weighting each sub-image data based on the two-dimensional weight matrix of each sub-image data to obtain weighted sub-image data of each sub-image data; and
and combining the weighted sub-image data to obtain a target image.
2. The image acquisition method according to claim 1, wherein acquiring a plurality of sub-image data of the subject includes:
the radiation source emits ray beams to a shot object; and
the detector detects the ray bundle passing through the shot object, and acquires sub-image data at a plurality of relative positions of the radiation source and the detector respectively so as to acquire a plurality of sub-image data.
3. The image acquisition method according to claim 1 or 2, wherein the resolution expansion processing for each sub-image data includes:
the initial image resolution of each sub-image data is increased to the extended image resolution.
4. The image acquisition method according to any one of claims 1 to 3, wherein acquiring an overlap relationship between the respective sub-image data, and based on the overlap relationship, obtaining a two-dimensional weight matrix for each sub-image data comprises:
acquiring at least one overlapping area of each sub-image data with other sub-image data, and obtaining a two-dimensional weight matrix of each sub-image data based on the at least one overlapping area of each sub-image data.
5. The image acquisition method of claim 3, wherein increasing the initial image resolution to the augmented image resolution for each sub-image data comprises:
and performing resolution expansion processing on each sub-image data in a first direction and a second direction, wherein the first direction is perpendicular to the second direction.
6. The image acquisition method according to claim 2, wherein the plurality of relative positions are two relative positions.
7. The image acquisition method according to claim 2, wherein the plurality of relative positions are four relative positions.
8. The image acquisition method according to claim 1 or 2, wherein the target image is an oral cavity positive image or an oral cavity side image.
9. The image acquisition method according to claim 1, wherein each of the sub-image data is partial image data of the subject.
10. The image acquisition method according to claim 2, wherein the plurality of sub-image data have the same initial image resolution.
11. The image acquisition method according to claim 2, wherein the initial image resolution of each sub-image data is increased to the same extended image resolution.
12. The image acquisition method according to claim 1, characterized in that the plurality of relative positions of the radiation source and the detector are obtained by driving the radiation source and/or the detector.
13. The image acquisition method of claim 2, wherein the radiation source is an X-ray source.
14. The image acquisition method of claim 2, wherein the radiation beam is a cone beam.
15. An image acquisition system, comprising:
a detector for acquiring a plurality of sub-image data of a subject to be photographed; and
the processing device carries out resolution expansion processing on the sub-image data to obtain the overlapping relation among the sub-image data, obtains a two-dimensional weight matrix of each sub-image data based on the overlapping relation, carries out weighting processing on each sub-image data based on the two-dimensional weight matrix of each sub-image data to obtain the weighted sub-image data of each sub-image data, and combines each weighted sub-image data to obtain a target image.
16. The image acquisition system of claim 15, further comprising a radiation source that emits a beam of radiation toward the subject.
17. The image acquisition system according to claim 15 or 16, wherein the detector detects the radiation beam passing through the object, and the sub-image data is acquired at a plurality of relative positions of the radiation source and the detector, respectively, to acquire a plurality of sub-image data.
18. The image acquisition system of claim 15, wherein the detector converts the beam of radiation passing through the object into electrical signals to acquire a plurality of sub-image data of the object.
19. The image acquisition system according to claim 15, wherein the detector is preferably an X-ray flat panel detector.
20. The image acquisition system according to claim 15, wherein the processing means acquires an overlap relationship between the respective sub-image data, and based on the overlap relationship, obtains a two-dimensional weight matrix for each sub-image data, including:
acquiring at least one overlapping area of each sub-image data with other sub-image data, and obtaining a two-dimensional weight matrix of each sub-image data based on the at least one overlapping area of each sub-image data.
21. An image acquisition method, comprising:
performing resolution expansion processing on the acquired plurality of sub-image data of the photographed object;
acquiring the overlapping relation among the sub-image data, and acquiring a two-dimensional weight matrix of each sub-image data based on the overlapping relation;
weighting each sub-image data based on the two-dimensional weight matrix of each sub-image data to obtain weighted sub-image data of each sub-image data; and
and combining the weighted sub-image data to obtain a target image.
22. The image acquisition method according to claim 21, wherein the plurality of sub-image data of the subject are sub-image data acquired at a plurality of relative positions of the radiation source and the detector, respectively.
23. The image capturing method according to claim 21 or 22, wherein the resolution expansion processing for each sub-image data includes:
the initial image resolution of each sub-image data is increased to the extended image resolution.
24. The image acquisition method according to any one of claims 21 to 23, wherein acquiring an overlap relationship between the respective sub-image data, and based on the overlap relationship, obtaining a two-dimensional weight matrix for each sub-image data comprises:
acquiring at least one overlapping area of each sub-image data with other sub-image data, and obtaining a two-dimensional weight matrix of each sub-image data based on the at least one overlapping area of each sub-image data.
25. The image acquisition method of claim 23, wherein increasing the initial image resolution to the augmented image resolution for each sub-image data comprises:
and performing resolution expansion processing on each sub-image data in a first direction and a second direction, wherein the first direction is perpendicular to the second direction.
26. An image acquisition apparatus, characterized by comprising:
the resolution expansion module is used for carrying out resolution expansion processing on the acquired plurality of sub-image data of the shot object;
the weight matrix generation module acquires the overlapping relation among the sub-image data and acquires a two-dimensional weight matrix of each sub-image data based on the overlapping relation;
the weighting processing module is used for weighting the sub-image data based on the two-dimensional weight matrix of the sub-image data to obtain weighted sub-image data of each sub-image data; and
and the combination processing module combines the weighted sub-image data to obtain a target image.
27. The image capturing device as claimed in claim 26, wherein the resolution expansion module performs resolution expansion processing on each sub-image data, including:
the initial image resolution of each sub-image data is increased to the extended image resolution.
28. The apparatus according to claim 26 or 27, wherein the weight matrix generation module acquires an overlap relationship between the sub-image data, and based on the overlap relationship, obtains a two-dimensional weight matrix for each sub-image data, including:
acquiring at least one overlapping area of each sub-image data with other sub-image data, and obtaining a two-dimensional weight matrix of each sub-image data based on the at least one overlapping area of each sub-image data.
29. The image capturing device of claim 27, wherein increasing the initial image resolution of each sub-image data to the extended image resolution comprises:
and performing resolution expansion processing on each sub-image data in a first direction and a second direction, wherein the first direction is perpendicular to the second direction.
30. An electronic device, comprising:
a memory storing execution instructions; and
a processor executing execution instructions stored by the memory to cause the processor to perform the method of any of claims 21 to 29.
31. A readable storage medium having stored therein execution instructions, which when executed by a processor, are configured to implement the method of any one of claims 21 to 29.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106530226A (en) * | 2016-10-25 | 2017-03-22 | 中源智人科技（深圳）股份有限公司 | Realization method for obtaining high-resolution high-definition industrial image |
| US20190180143A1 (en) * | 2017-12-07 | 2019-06-13 | Shenzhen United Imaging Healthcare Co., Ltd. | Systems and methods for image processing |
| US20200058130A1 (en) * | 2018-08-14 | 2020-02-20 | Boe Technology Group Co., Ltd. | Image processing method, electronic device and computer-readable storage medium |
| WO2020037622A1 (en) * | 2018-08-23 | 2020-02-27 | 深圳配天智能技术研究院有限公司 | Acquisition method and acquisition device for super-resolution image, and image sensor |
| CN111462273A (en) * | 2020-05-14 | 2020-07-28 | 沈阳先进医疗设备技术孵化中心有限公司 | Image processing method and device, CT (computed tomography) equipment and CT system |
| CN111462028A (en) * | 2020-03-16 | 2020-07-28 | 中国地质大学（武汉） | Infrared and visible light image fusion method based on phase consistency and target enhancement |
| CN111583120A (en) * | 2020-05-22 | 2020-08-25 | 上海联影医疗科技有限公司 | Image splicing method, device, equipment and storage medium |
| CN111991015A (en) * | 2020-08-13 | 2020-11-27 | 上海联影医疗科技股份有限公司 | Three-dimensional image splicing method, device, equipment, system and storage medium |
-
2021
- 2021-04-07 CN CN202110373305.7A patent/CN113077375A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106530226A (en) * | 2016-10-25 | 2017-03-22 | 中源智人科技（深圳）股份有限公司 | Realization method for obtaining high-resolution high-definition industrial image |
| US20190180143A1 (en) * | 2017-12-07 | 2019-06-13 | Shenzhen United Imaging Healthcare Co., Ltd. | Systems and methods for image processing |
| US20200058130A1 (en) * | 2018-08-14 | 2020-02-20 | Boe Technology Group Co., Ltd. | Image processing method, electronic device and computer-readable storage medium |
| WO2020037622A1 (en) * | 2018-08-23 | 2020-02-27 | 深圳配天智能技术研究院有限公司 | Acquisition method and acquisition device for super-resolution image, and image sensor |
| CN111462028A (en) * | 2020-03-16 | 2020-07-28 | 中国地质大学（武汉） | Infrared and visible light image fusion method based on phase consistency and target enhancement |
| CN111462273A (en) * | 2020-05-14 | 2020-07-28 | 沈阳先进医疗设备技术孵化中心有限公司 | Image processing method and device, CT (computed tomography) equipment and CT system |
| CN111583120A (en) * | 2020-05-22 | 2020-08-25 | 上海联影医疗科技有限公司 | Image splicing method, device, equipment and storage medium |
| CN111991015A (en) * | 2020-08-13 | 2020-11-27 | 上海联影医疗科技股份有限公司 | Three-dimensional image splicing method, device, equipment, system and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| SAMSUDIN, S 等: "Development of Automated Image Stitching System for Radiographic Images", JOURNAL OF DIGITAL IMAGING, vol. 26, no. 2, pages 361 - 370 * |
| 刘少鹏;郝群;宋勇;胡摇;: "基于WNMF和区域分维的图像融合算法", 仪器仪表学报, no. 06, pages 1310 - 1315 * |
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