CN114689194A - Distortion correction method, device, equipment and medium for temperature detector - Google Patents

Distortion correction method, device, equipment and medium for temperature detector Download PDF

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CN114689194A
CN114689194A CN202210321364.4A CN202210321364A CN114689194A CN 114689194 A CN114689194 A CN 114689194A CN 202210321364 A CN202210321364 A CN 202210321364A CN 114689194 A CN114689194 A CN 114689194A
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matrix
temperature detector
gray matrix
array ccd
pixel
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熊雯
张帆
邱鹏
叶盛
杨洲
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Wuhan Iron and Steel Co Ltd
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Wuhan Iron and Steel Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K7/00—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K15/00—Testing or calibrating of thermometers
    • G01K15/005—Calibration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract

The invention discloses a distortion correction method, a distortion correction device, distortion correction equipment and a distortion correction medium for an area array CCD temperature detector, wherein the method comprises the following steps: acquiring pixel information, material quantum efficiency and charge variation factor of each pixel in the area array CCD temperature detector; establishing an actual gray matrix according to the pixel information, the material quantum efficiency and the charge variation factor of each pixel; and performing gain and offset correction on the actual gray matrix to obtain a corrected target gray matrix. The invention can solve the technical problems of low temperature measurement precision and the like caused by uneven gray matrix output by the area array CCD temperature detector in the prior art.

Description

Distortion correction method, device, equipment and medium for temperature detector
Technical Field
The invention relates to the technical field of device correction, in particular to a distortion correction method, a distortion correction device, distortion correction equipment and distortion correction medium for an area array CCD temperature detector.
Background
In the plate blank rolling process, because the surface temperature field of the plate blank is not distributed uniformly, the single-point temperature cannot represent the whole surface temperature distribution information, and the whole temperature field information is required to be provided to monitor the state of a product or equipment in real time so as to improve the quality of the plate blank and ensure the production efficiency and safety.
A pyrometer (Wen may also be called a temperature detector) based on a Charge Coupled Device (CCD) can acquire the information of the surface temperature field of the rolled material in real time, and thus is widely used in the production process of hot rolled strip steel. However, in practical application, the temperature field on the surface of the plate blank directly measured by the area array CCD temperature detector can be seriously distorted, and the temperature measurement precision is greatly reduced. The non-uniformity of response of photosensitive units of the area array CCD detector is mainly caused by the following factors or problems, and the uniformity of material quantum efficiency of all pixels/pixels cannot be ensured in the manufacturing process of the area array CCD, and the light receiving area of each area array CCD detector cannot be kept. Therefore, the gray matrix output by the area array CCD has certain non-uniformity, thereby affecting the temperature measurement accuracy.
Therefore, it is necessary to provide a distortion correction scheme for an area array CCD temperature detector.
Disclosure of Invention
The embodiment of the application provides a distortion correction method, a distortion correction device, distortion correction equipment and distortion correction media for an area array CCD temperature detector, and solves the technical problems that in the prior art, the gray matrix output by the area array CCD temperature detector is not uniform, so that the temperature measurement precision is low and the like.
In one aspect, the present application provides a distortion correction method for an area array CCD temperature detector, where the method includes:
acquiring pixel information, material quantum efficiency and charge variation factor of each pixel in the area array CCD temperature detector;
establishing an actual gray matrix according to the pixel information, the material quantum efficiency and the charge variation factor of each pixel;
and performing gain and offset correction on the actual gray matrix to obtain a corrected target gray matrix.
Optionally, the performing gain and offset correction on the actual gray-scale matrix to obtain a corrected target gray-scale matrix includes:
establishing a pre-configured correction gray matrix according to a non-uniform response correction algorithm of the area array CCD temperature detector;
and correcting the gain coefficient and the offset coefficient of the actual gray matrix according to the incidence relation between the actual gray matrix and the corrected gray matrix to obtain the corrected target gray matrix.
Optionally, the actual grayscale matrix is: h ═ RE + γ, and the correction grayscale matrix is: g ═ KE + σ; wherein,
h is the actual gray matrix, G is the corrected gray matrix, R and K are gain coefficient matrices in the corresponding gray matrix, and gamma and sigma are offset coefficient matrices in the corresponding gray matrix.
Optionally, the association relationship is: gij＝AijHij+BijWherein (i, j) denotes the row-column number of the picture element, AijAnd BijAre coefficients of the picture elements (i, j).
Optionally, the target grayscale matrix is:
Figure BDA0003571765160000021
wherein,
Figure BDA0003571765160000022
and
Figure BDA0003571765160000023
is the gray value of the picture element (i, j) under the first illumination,
Figure BDA0003571765160000024
and
Figure BDA0003571765160000025
is the gray value of the picture element (i, j) under the second illumination.
Optionally, the picture element information comprises picture elements and picture element areas of the picture elements.
Optionally, the pixel is determined according to the exposure time, the electron charge amount, the incident light frequency and the planck constant of the area array CCD temperature detector.
In another aspect, the present application provides a distortion correction apparatus for an area array CCD temperature detector, the apparatus including: the device comprises an acquisition module, an establishment module and a correction module, wherein:
the acquisition module is used for acquiring pixel information, material quantum efficiency and charge variation factors of each pixel in the area array CCD temperature detector;
the establishing module is used for establishing an actual gray matrix according to the pixel information, the material quantum efficiency and the charge variation factor of each pixel;
and the correction module is used for performing gain and offset correction on the actual gray matrix to obtain a corrected target gray matrix.
For the content that is not described or not illustrated in the embodiments of the present application, reference may be made to the related description in the foregoing method embodiments, and details are not repeated here.
On the other hand, the present application provides a terminal device according to an embodiment of the present application, where the terminal device includes: a processor, a memory, a communication interface, and a bus; the processor, the memory and the communication interface are connected through the bus and complete mutual communication; the memory stores executable program code; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the distortion correction method of the area array CCD temperature detector.
On the other hand, the present application provides a computer-readable storage medium storing a program that, when executed on a terminal device, performs the distortion correction method for an area-array CCD temperature detector as described above, by an embodiment of the present application.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: the method comprises the steps of obtaining pixel information, material quantum efficiency and charge variation factors of each pixel in an area array CCD temperature detector; establishing an actual gray matrix according to the pixel information, the material quantum efficiency and the charge variation factor of each pixel; and performing gain and offset correction on the actual gray matrix to obtain a corrected target gray matrix. In the scheme, the method and the device can establish the actual gray matrix according to a series of information of each pixel in the area array CCD temperature detector, and further carry out gain and offset correction on the actual gray matrix to obtain a more accurate corrected target gray matrix, so that the subsequent temperature measurement precision based on the target gray matrix is ensured.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a distortion correction system of an area array CCD temperature detector according to an embodiment of the present application.
Fig. 2 is a schematic diagram illustrating a principle of performing calibration on an area array CCD temperature detector by using a uniform integrating sphere according to an embodiment of the present application.
Fig. 3 is a schematic flowchart of a distortion correction method for an area array CCD temperature detector according to an embodiment of the present disclosure.
Fig. 4 is a schematic structural diagram of a distortion correction apparatus of an area array CCD temperature detector according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
Detailed Description
The applicant has also found in the course of the present application that: in the actual production process of the area array CCD temperature detector, due to the influence of material quality and the limitation of a manufacturing process, such as uneven channel doping concentration, uneven surface state density distribution and different gate oxide thicknesses, the threshold voltages of the area array CCD temperature detector are inconsistent, and further the quantum efficiencies of the materials are different. In addition, the difference of the light receiving area of the detector is also an important factor for generating the response nonuniformity. These all cause that the gray matrix of area array CCD temperature detector output has certain heterogeneity, and then influence the precision of temperature measurement.
The embodiment of the application provides a distortion correction method, a distortion correction device, distortion correction equipment and distortion correction media for an area array CCD temperature detector, and solves the technical problems that in the prior art, the gray matrix output by the area array CCD temperature detector is not uniform, so that the temperature measurement precision is low and the like.
In order to solve the technical problems, the general idea of the embodiment of the application is as follows: acquiring pixel information, material quantum efficiency and charge variation factor of each pixel in the area array CCD temperature detector; establishing an actual gray matrix according to the pixel information, the material quantum efficiency and the charge variation factor of each pixel; and performing gain and offset correction on the actual gray matrix to obtain a corrected target gray matrix.
In order to better understand the technical scheme, the technical scheme is described in detail in the following with reference to the attached drawings of the specification and specific embodiments.
First, it is stated that the term "and/or" appearing herein is merely one type of associative relationship that describes an associated object, meaning that three types of relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Fig. 1 is a schematic structural diagram of a distortion correction system of an area array CCD temperature detector according to an embodiment of the present application. The system shown in fig. 1 includes: rollgang 1, slab 2, temperature detection light 3, even area source 4, correction light 5, filter plate 6, area array CCD temperature detector 7, temperature detect and correct the control unit 8, even integrating sphere device the control unit 9, direct current constant voltage power supply 10 can be the controllable direct current constant voltage power supply of high accuracy for do even integrating sphere device provides the power.
Please refer to fig. 2, which is a schematic diagram of a principle of performing calibration on an area array CCD temperature detector by using a uniform integrating sphere according to an embodiment of the present application. As shown in FIG. 2, the present application utilizes a uniform integrating sphere device to generate a uniform area light source, and performs online calibration and correction on an area array CCD temperature detector, so as to complete temperature detection of the area array CCD temperature detector under different illumination. In fig. 2, reference numeral 11 denotes an arbitrary wavelength light beam, and reference numeral 12 denotes a light blocking diaphragm. It should be noted that the correction system adopted in the present application is simple in structure, safe and practical.
Based on the foregoing embodiments, please refer to fig. 3, which is a schematic flow chart of a distortion correction method for an area array CCD temperature detector according to an embodiment of the present application. The method as shown in fig. 3 comprises the following implementation steps:
s301, obtaining pixel information, material quantum efficiency and charge variation factor of each pixel in the area array CCD temperature detector.
S302, establishing an actual gray matrix according to the pixel information, the material quantum efficiency and the charge variation factor of each pixel. Wherein the picture element information of the picture element includes, but is not limited to, information such as the picture element, the area of the picture element, or other information used to describe the picture element.
And S303, performing gain and offset correction on the actual gray matrix to obtain a corrected target gray matrix.
In the method, factors such as dark current, transfer path, noise and the like are considered, and a charge variation factor is considered, so that the charge (charge) output by a single pixel (or pixel) under the illumination (which can also be irradiance) E can be calculated by adopting the following formula (1):
Q＝BηA·E+q0formula (1)
Q is the electric quantity output by a single pixel under the irradiance E; b is a pixel in an area array CCD temperature detector, and is usually a constant; eta is material quantumEfficiency, which may also be referred to as material quantum efficiency coefficient; a is the area of a single pixel in the detector; q. q.s0To account for charge variation factors due to current, transfer path, and noise.
Wherein, B is obtained by the calculation of the following formula (2).
Figure BDA0003571765160000061
Wherein t is the exposure time of the temperature detector under the actual working condition; q is the electron charge amount; h is the Planck constant; v is the frequency of the incident light.
The method and the device collect information such as pixel information, material quantum efficiency, charge variation factor and the like of each pixel in the detector through the detection current of the temperature detector, perform processing such as amplification and noise removal on the information, and output and store the information in a gray value form. Because certain non-uniformity can be caused in the processing process of the information, the gray value output by each pixel in the area array CCD temperature detector can be given in the form of a matrix, which is specifically shown in the following formula (3):
Figure BDA0003571765160000071
wherein m and n respectively represent the row number and the column number of the pixels in the area array CCD temperature detector; g represents a gray matrix; k and σ denote coefficient matrices, reflecting the detector non-uniformity, in particular K denotes a gain coefficient matrix and σ denotes an offset coefficient matrix.
Correspondingly, according to the non-uniform response correction algorithm of the area array CCD temperature detector, the method can firstly establish an actual gray matrix H and a pre-prepared correction gray matrix G of the detector, and the specific formula is shown in the following formula (4):
Figure BDA0003571765160000072
wherein, H represents an actual gray matrix, R represents an actual gain matrix corresponding to the actual gray matrix, E represents light/amplitude illumination, and gamma represents an actual offset matrix corresponding to the actual gray matrix; g denotes a correction gradation matrix, K denotes a correction gain matrix corresponding to the correction gradation matrix, and σ denotes a correction offset matrix corresponding to the correction gradation matrix.
Then, according to the correlation between the actual gray matrix H and the corrected gray matrix G, the present application corrects the gain coefficient and the offset coefficient of the actual gray matrix, thereby obtaining a corrected target gray matrix G'. The correlation between the actual gray-scale matrix H and the corrected gray-scale matrix G may be specifically shown in the following formula (5):
Gij＝AijHij+Bijformula (5)
Wherein G isijRepresenting the actual gray value, H, corresponding to the pixel/pixel (i, j)ijRepresenting the corrected grey value, A, for the pixel/pixel (i, j)ijAnd BijAre coefficients of the picture elements (i, j).
The coefficient of each pixel obtained by calculation according to the above formula (4) and the above formula (5) is shown in the following formula (6):
Figure BDA0003571765160000081
wherein, KijRepresenting the corresponding gain factor, R, of the pixel element (i, j) in the correction gain matrixijRepresents the corresponding gain coefficient, σ, of the pixel element (i, j) in the actual gain matrixijRepresenting the corresponding offset coefficient, γ, of the picture element (i, j) in the actual offset matrixijRepresenting the corresponding offset coefficient of the pixel (i, j) in the correction offset matrix.
Further, in order to solve the corrected gray matrix, at least two gray matrices under different illumination intensities are required to be solved. In particular, the present application assumes that the corrected gray-scale values obtained for the pixel/pixel (i, j) at two different illumination levels are respectively
Figure BDA0003571765160000082
And
Figure BDA0003571765160000083
and the actual gray-scale values of the pixels (i, j) under the two illumination intensities are respectively
Figure BDA0003571765160000084
And
Figure BDA0003571765160000085
the relationship between them is shown in the following formula (7):
Figure BDA0003571765160000086
from the above equation (7), the coefficient A can be calculatedijAnd BijSpecifically, the following formula (8) shows:
Figure BDA0003571765160000087
wherein, in the above formula (8)
Figure BDA0003571765160000088
And
Figure BDA0003571765160000089
generally refers to the average gray scale value of all pixels under the corresponding illumination.
Further, the method and the device can obtain a corrected gray matrix, namely a corrected target gray matrix, according to the actual gray matrix before correction and the calculated coefficient. Specifically, the following formula (9) shows:
Figure BDA00035717651600000810
in order to better understand the embodiments of the present application, a detailed description is given below with respect to a specific example. Specifically, for example, the non-uniform response correction algorithm of the area array CCD temperature detector adopted in the present application may be: the slab (area array) temperature range is 800-:
TABLE 1
Figure BDA0003571765160000091
The application ensures the actual gray value G collected by the area array CCD temperature detector by adjusting the DC stabilized voltage power supplyijIn the vicinity of each of the above segments (specifically, the gradation value outputted from the central pixel may be used as a reference), the correction gradation value H is set for each of the correction gradation valuesijThe acquisition of 5 sets of data was repeated. And then for each actual gray value GijGroup 5 ofijAnd carrying out averaging treatment. The averaged gray value is used as the correction gray value under the illumination
Figure BDA0003571765160000092
Similarly, the method can perform average calculation on the actual gray values of all the pixels, and for each segment of gray, calculate the gain coefficient A of each pixelijAnd offset coefficient Bij. So that the corrected target gray matrix can be obtained.
By implementing the embodiment of the application, the pixel information, the material quantum efficiency and the charge variation factor of each pixel in the area array CCD temperature detector are obtained; establishing an actual gray matrix according to the pixel information, the material quantum efficiency and the charge variation factor of each pixel; and performing gain and offset correction on the actual gray matrix to obtain a corrected target gray matrix. In the scheme, the method and the device can establish the actual gray matrix according to a series of information of each pixel in the area array CCD temperature detector, and further carry out gain and offset correction on the actual gray matrix to obtain a more accurate corrected target gray matrix, so that the subsequent temperature measurement precision based on the target gray matrix is ensured.
Based on the same inventive concept, another embodiment of the present application provides a device and a terminal device corresponding to the method for correcting distortion of the area array CCD temperature detector in the embodiment of the present application.
Fig. 4 is a schematic structural diagram of a distortion correction apparatus of an area array CCD temperature detector according to an embodiment of the present application. The apparatus 40 shown in fig. 4 comprises an obtaining module 401, a building module 402 and a correcting module 403, wherein:
the acquisition module 401 is configured to acquire pixel information, material quantum efficiency, and charge variation factor of each pixel in the area array CCD temperature detector;
the establishing module 402 is configured to establish an actual gray matrix according to the pixel information, the material quantum efficiency, and the charge variation factor of each pixel;
the correcting module 403 is configured to perform gain and offset correction on the actual gray-scale matrix to obtain a corrected target gray-scale matrix.
Optionally, the correction module 403 is specifically configured to:
establishing a pre-configured correction gray matrix according to a non-uniform response correction algorithm of the area array CCD temperature detector;
and correcting the gain coefficient and the offset coefficient of the actual gray matrix according to the incidence relation between the actual gray matrix and the corrected gray matrix to obtain the corrected target gray matrix.
Optionally, the actual grayscale matrix is: h ═ RE + γ, the correction grayscale matrix is: g ═ KE + σ; wherein,
h is the actual gray matrix, G is the corrected gray matrix, R and K are gain coefficient matrices in the corresponding gray matrix, and gamma and sigma are offset coefficient matrices in the corresponding gray matrix.
Optionally, the association relationship is: gij＝AijHij+BijWherein (i, j) denotes the row-column number of the picture element, AijAnd BijAre coefficients of the picture elements (i, j).
Optionally, the target ashThe degree matrix is:
Figure BDA0003571765160000101
wherein,
Figure BDA0003571765160000102
and
Figure BDA0003571765160000103
is the gray value of the picture element (i, j) under the first illumination,
Figure BDA0003571765160000104
and
Figure BDA0003571765160000105
is the gray value of the picture element (i, j) under the second illumination.
Optionally, the picture element information comprises picture elements and picture element areas of the picture elements.
Optionally, the pixel is determined according to the exposure time, the electron charge amount, the incident light frequency and the planck constant of the area array CCD temperature detector.
For the content that is not introduced or not described in the embodiment of the present application, reference may be made to the related descriptions in the foregoing method embodiments, and details are not described here again.
Please refer to fig. 5, which is a schematic structural diagram of a terminal device according to an embodiment of the present application. The terminal device 50 shown in fig. 5 includes: at least one processor 501, a communication interface 502, a user interface 503 and a memory 504, wherein the processor 501, the communication interface 502, the user interface 503 and the memory 504 may be connected by a bus or other means, and the embodiment of the present invention is exemplified by being connected by the bus 505. Wherein,
processor 501 may be a general-purpose processor, such as a Central Processing Unit (CPU).
The communication interface 502 may be a wired interface (e.g., an ethernet interface) or a wireless interface (e.g., a cellular network interface or using a wireless local area network interface) for communicating with other terminals or websites. In this embodiment of the present invention, the communication interface 502 is specifically configured to obtain information such as pixel information, material quantum efficiency, and charge variation factor.
The user interface 503 may be a touch panel, including a touch screen and a touch screen, for detecting an operation instruction on the touch panel, and the user interface 503 may also be a physical button or a mouse. The user interface 503 may also be a display screen for outputting, displaying images or data.
The Memory 504 may include Volatile Memory (Volatile Memory), such as Random Access Memory (RAM); the Memory may also include a Non-Volatile Memory (Non-Volatile Memory), such as a Read-Only Memory (ROM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, HDD), or a Solid-State Drive (SSD); the memory 504 may also comprise a combination of the above-described types of memory. The memory 504 is used for storing a set of program codes, and the processor 501 is used for calling the program codes stored in the memory 504 and executing the following operations:
acquiring pixel information, material quantum efficiency and charge variation factor of each pixel in the area array CCD temperature detector;
establishing an actual gray matrix according to the pixel information, the material quantum efficiency and the charge variation factor of each pixel;
and performing gain and offset correction on the actual gray matrix to obtain a corrected target gray matrix.
Optionally, the performing gain and offset correction on the actual gray-scale matrix to obtain a corrected target gray-scale matrix includes:
establishing a pre-configured correction gray matrix according to a non-uniform response correction algorithm of the area array CCD temperature detector;
and correcting the gain coefficient and the offset coefficient of the actual gray matrix according to the incidence relation between the actual gray matrix and the corrected gray matrix to obtain the corrected target gray matrix.
Optionally, the actual grayscale matrix is: h ═ RE + γ, the correction grayscale matrix is: g ═ KE + σ; wherein,
h is the actual gray matrix, G is the corrected gray matrix, R and K are gain coefficient matrices in the corresponding gray matrix, and gamma and sigma are offset coefficient matrices in the corresponding gray matrix.
Optionally, the association relationship is: gij＝AijHij+BijWherein (i, j) denotes the row-column number of the picture element, AijAnd BijAre coefficients of the picture elements (i, j).
Optionally, the target grayscale matrix is:
Figure BDA0003571765160000121
wherein,
Figure BDA0003571765160000131
and
Figure BDA0003571765160000132
is the gray value of the picture element (i, j) under the first illumination,
Figure BDA0003571765160000133
and
Figure BDA0003571765160000134
is the gray value of the picture element (i, j) under the second illumination.
Optionally, the picture element information comprises picture elements and picture element areas of the picture elements.
Optionally, the pixel is determined according to the exposure time, the electron charge amount, the incident light frequency and the planck constant of the area array CCD temperature detector.
Since the terminal device described in this embodiment is a terminal device used for implementing the method in this embodiment, based on the method described in this embodiment, a person skilled in the art can know a specific implementation of the terminal device in this embodiment and various variations thereof, so that a detailed description of how to implement the method in this embodiment by the terminal device is not described here. The terminal devices used by those skilled in the art to implement the method in the embodiments of the present application all belong to the protection scope of the present application.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: the method comprises the steps of obtaining pixel information, material quantum efficiency and charge variation factors of each pixel in an area array CCD temperature detector; establishing an actual gray matrix according to the pixel information, the material quantum efficiency and the charge variation factor of each pixel; and performing gain and offset correction on the actual gray matrix to obtain a corrected target gray matrix. In the scheme, the method and the device can establish the actual gray matrix according to a series of information of each pixel in the area array CCD temperature detector, and further carry out gain and offset correction on the actual gray matrix to obtain a more accurate corrected target gray matrix, so that the subsequent temperature measurement precision based on the target gray matrix is ensured.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A distortion correction method for an area array CCD temperature detector is characterized by comprising the following steps:
acquiring pixel information, material quantum efficiency and charge variation factor of each pixel in the area array CCD temperature detector;
establishing an actual gray matrix according to the pixel information, the material quantum efficiency and the charge variation factor of each pixel;
and performing gain and offset correction on the actual gray matrix to obtain a corrected target gray matrix.
2. The method of claim 1, wherein performing gain and offset correction on the actual gray-scale matrix to obtain a corrected target gray-scale matrix comprises:
establishing a pre-configured correction gray matrix according to a non-uniform response correction algorithm of the area array CCD temperature detector;
and correcting the gain coefficient and the offset coefficient of the actual gray matrix according to the incidence relation between the actual gray matrix and the corrected gray matrix to obtain the corrected target gray matrix.
3. The method of claim 2, wherein the actual grayscale matrix is: h ═ RE + γ, the correction grayscale matrix is: g ═ KE + σ; wherein,
h is the actual gray matrix, G is the corrected gray matrix, R and K are gain coefficient matrices in the corresponding gray matrix, and gamma and sigma are offset coefficient matrices in the corresponding gray matrix.
4. The method of claim 3, wherein the correlation relationship is: gij＝AijHij+BijWherein (i, j) denotes the row-column number of the picture element, AijAnd BijAre coefficients of the picture elements (i, j).
5. The method of claim 4, wherein the target gray scale matrix is:
Figure FDA0003571765150000011
wherein,
Figure FDA0003571765150000021
and
Figure FDA0003571765150000022
is the gray value of the picture element (i, j) under the first illumination,
Figure FDA0003571765150000023
and
Figure FDA0003571765150000024
is the gray value of the picture element (i, j) under the second illumination.
6. A method according to any of claims 1-5, characterized in that the picture element information comprises picture elements and picture element areas of the picture elements.
7. The method of claim 6, wherein the image element is determined according to an exposure time, an electron charge amount, an incident light frequency and a Planck constant of the area array CCD temperature detector.
8. A distortion correction apparatus for an area array CCD temperature detector, said apparatus comprising: the device comprises an acquisition module, an establishment module and a correction module, wherein:
the acquisition module is used for acquiring pixel information, material quantum efficiency and charge variation factors of each pixel in the area array CCD temperature detector;
the establishing module is used for establishing an actual gray matrix according to the pixel information, the material quantum efficiency and the charge variation factor of each pixel;
and the correction module is used for performing gain and offset correction on the actual gray matrix to obtain a corrected target gray matrix.
9. A terminal device, characterized in that the terminal device comprises: a processor, a memory, a communication interface, and a bus; the processor, the memory and the communication interface are connected through the bus and complete mutual communication; the memory stores executable program code; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, for executing the distortion correction method of the area array CCD temperature detector as set forth in any one of claims 1 to 7 above.
10. A computer-readable storage medium characterized by storing a program which, when run on a terminal device, executes the distortion correction method of an area-array CCD temperature detector according to any one of claims 1 to 7.
CN202210321364.4A 2022-03-30 2022-03-30 Distortion correction method, device, equipment and medium for temperature detector Pending CN114689194A (en)

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