WO2023133991A1

WO2023133991A1 - Endoscope color temperature real-time correction method and apparatus, electronic device, and camera system

Info

Publication number: WO2023133991A1
Application number: PCT/CN2022/079331
Authority: WO
Inventors: 伍思樾; 任均宇; 顾兆泰; 梁江荣; 黄泽鑫; 张仲亮; 李娜娜; 邬东升; 谭文安; 李明; 安昕
Original assignee: 广东欧谱曼迪科技有限公司
Priority date: 2022-01-14
Filing date: 2022-03-04
Publication date: 2023-07-20
Also published as: CN114071110B; CN114071110A

Abstract

The present invention relates to the field of endoscopes. Disclosed are an endoscope color temperature real-time correction method and apparatus, an electronic device, and a camera system. The method comprises the following steps: acquiring a correspondence between a light source control signal and an image color temperature (S1); acquiring the light source control signal, wherein the light source control signal is from a light source control unit (S2); according to the light source control signal, generating a color temperature correction coefficient by using the correspondence between the light source control signal and the image color temperature (S3); correcting, according to the color temperature correction coefficient, a color of an image that is photographed in real time, so as to obtain a picture signal (S4); and sending the picture signal to a display (S5). By using the color temperature correction coefficient to process the image that is photographed in real time, even if the brightness of a light source is greatly changed, the color temperature output by the display can be kept stable, so that the tone of the picture is prevented from being frequently changed, an operator can clearly see a biological tissue, and popularization and use of the endoscope having adjustable light source power are facilitated.

Description

Endoscope color temperature real-time correction method, device, electronic equipment and camera system

technical field

The invention relates to an endoscope color temperature real-time correction method, device, electronic equipment and camera system, belonging to the field of endoscopes.

Background technique

In current clinical applications, there is an endoscope that can automatically adjust the power of the light source. While satisfying the imaging brightness, it can prevent biological tissues from being irradiated by high-power light sources for a long time and at close range, and reduce the heat generated by biological tissues during surgery or inspection. Another advantage of this type of endoscope is that since the brightness of the light source can be automatically adjusted, it is not necessary to use the automatic exposure function of the endoscope camera equipment, which eliminates the influence of electronic gain on the image signal-to-noise ratio and improves the image signal. Noise ratio and dynamic range. However, most light sources themselves have the following characteristics. The color temperature of the light source at low power output and high power output often differs greatly. ", but the color of the screen often changes, which can easily affect the operator's identification of biological tissues. Older endoscopes with a constant power light source, relying on electronic gain to brighten the picture, did not suffer from this color shift problem. How to suppress frequent changes in picture color becomes the key to expanding the application of this kind of endoscope with automatically adjustable light source power.

Contents of the invention

In order to overcome the deficiencies of the prior art, the present invention provides a method, device, electronic equipment and camera system for real-time correction of the color temperature of an endoscope, which can adjust the color temperature of the picture while automatically adjusting the power of the light source in the endoscope.

In the first aspect, the present invention provides a method for real-time correction of the color temperature of an endoscope, which is used for an endoscope with automatically adjustable light source power, comprising the following steps:

Obtain the corresponding relationship between the light source control signal and the image color temperature;

Acquiring a light source control signal, the light source control signal comes from a light source control unit;

According to the light source control signal, using the corresponding relationship between the light source control signal and the image color temperature to generate a color temperature correction coefficient;

Correcting the color of the real-time captured image according to the color temperature correction coefficient to obtain a picture signal;

Send the picture signal to the display.

The real-time correction method for endoscope color temperature provided by the present application acquires the light source control signal in real time, adjusts the color temperature of the picture according to the light source control signal, and avoids a large change in the color temperature of the picture when the power of the light source of the endoscope changes.

Optionally, the step of obtaining the corresponding relationship between the light source control signal and the image color temperature includes reading the light source control signal-image color temperature correction coefficient relationship curve;

The step of generating the color temperature correction coefficient according to the light source control signal and using the corresponding relationship between the light source control signal and the image color temperature includes: comparing the light source control signal-image color temperature correction coefficient relationship curve to generate the color temperature correction coefficient ;

The method for generating the light source control signal-image color temperature correction coefficient relationship curve includes:

Drive the light source to emit light with the basic light source control signal, make the camera shoot a white background, and perform white balance processing on the camera;

Using a plurality of standard light source control signals to respectively drive the light source to emit light, so that the camera captures the white background, and obtains a plurality of standard photographed images;

calculating a color temperature correction coefficient corresponding to the standard light source control signal according to the standard captured image;

Drawing the light source control signal-image color temperature correction coefficient relationship curve according to the color temperature correction coefficient and the corresponding standard light source control signal.

Optionally, the corresponding relationship between the light source control signal and the image color temperature includes a red correction coefficient fitting equation and a blue correction coefficient fitting equation; the color temperature correction coefficient includes a red correction coefficient and a blue correction coefficient;

The step of generating a color temperature correction coefficient according to the light source control signal using the corresponding relationship between the light source control signal and the image color temperature includes, substituting the light source control signal into the red correction coefficient fitting equation and the blue correction coefficient The fitting equation obtains the red correction coefficient under the light source control signal and the blue correction coefficient under the light source control signal respectively; the generation steps of the red correction coefficient fitting equation and the blue correction coefficient fitting equation include:

Using a plurality of standard light source control signals to respectively drive the light source to emit light, make the camera capture the white background, and obtain standard red pixel values, standard green pixel values, and standard blue pixel values in the plurality of standard captured images;

Calculate the red channel gain corresponding to each of the standard light source control signals according to the standard red pixel value and the standard green pixel value under each of the standard light source control signals; according to the standard blue pixel value and standard under each of the standard light source control signals The green pixel value calculates the blue channel gain corresponding to each of the standard light source control signals;

Using a function to fit the standard light source control signal and the red channel gain to obtain the red correction coefficient fitting equation, using a function to fit the standard light source control signal and the blue channel gain to obtain the blue correction coefficient Fitting equation.

Optionally, the basic light source control signal is a signal for driving the light source to emit light with maximum brightness. Theoretically, the basic light source control signal can be any definite signal. In fact, the endoscope seldom works under the low brightness of the light source in normal operation, and generally works under high brightness, and whites the camera with the maximum brightness. Balance processing makes the color of the picture on the monitor more realistic when the endoscope is working.

Optionally, the red channel gain under each standard light source control signal is equal to the standard green pixel value under the standard light source control signal divided by the standard red pixel value under the standard light source control signal; each of the standard The blue channel gain under the light source control signal is equal to the standard green pixel value under the standard light source control signal divided by the standard blue pixel value under the standard light source control signal;

The picture signal includes a red signal, a green signal and a blue signal;

The step of correcting the color of the real-time captured image according to the color temperature correction coefficient to obtain the picture signal includes:

Obtain the real-time red pixel value, real-time green pixel value and real-time blue pixel value in the real-time captured image;

The red signal is equal to the real-time red pixel value multiplied by the red correction coefficient under the corresponding light source control signal; the green signal is equal to the real-time green pixel value; the blue signal is equal to the real-time blue pixel Value multiplied by the blue correction factor under the corresponding light source control signal.

Optionally, the standard red pixel value under each standard light source control signal is the average value obtained from multiple shots under the corresponding standard light source control signal; the standard green pixel value under each standard light source control signal is The average value obtained from multiple shots under the corresponding standard light source control signal; the standard blue pixel value under each standard light source control signal is the average value obtained from multiple shots under the corresponding standard light source control signal.

Optionally, the red correction coefficient fitting equation is a quadratic equation with the red correction coefficient as a dependent variable and the light source control signal as an independent variable; the blue correction coefficient fitting equation is, A quadratic equation with the blue color correction coefficient as a dependent variable and the light source control signal as an independent variable.

In the second aspect, the present invention provides a real-time color temperature correction device for an endoscope, which is used for an endoscope whose light source power can be automatically adjusted. The device includes:

The first acquisition module is used to acquire the corresponding relationship between the light source control signal and the image color temperature;

The second obtaining module is used to obtain a light source control signal, and the light source control signal comes from a light source control unit;

A correction coefficient generating module, configured to generate a color temperature correction coefficient according to the light source control signal, using the corresponding relationship between the light source control signal and the image color temperature;

A correction module, configured to correct the color of the real-time captured image according to the color temperature correction coefficient to obtain a picture signal;

The sending module is used to send the picture signal to the display.

In a third aspect, the present invention provides an electronic device, including a processor and a memory, the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the above-mentioned first aspect is executed. steps in the method.

In a fourth aspect, the present invention provides an endoscope imaging system, including a display, an image processing unit, an endoscope, an optical fiber optically connected to the endoscope, a light source optically connected to the optical fiber, and the light source An electrically connected light source control unit, the image processing unit is signal-connected to the camera, the light source control unit, and the display, and the image processing unit obtains the corresponding relationship between the light source control signal and the image color temperature; the image processing unit Acquiring a light source control signal, the light source control signal comes from a light source control unit; the image processing unit uses the corresponding relationship between the light source control signal and image color temperature according to the light source control signal to generate a color temperature correction coefficient; the image processing The unit corrects the color of the real-time captured image according to the color temperature correction coefficient to obtain a picture signal; the image processing unit sends the picture signal to the display.

The beneficial effects of the present invention are: the adjustment of the light source power depends on the light source control signal sent by the light source control unit, so the current power or brightness of the light source can be obtained by obtaining the light source control signal in real time, and the relationship between the light source control signal and the color temperature correction coefficient represents the brightness The relationship between the color temperature deviation and the color temperature correction coefficient is used to process the real-time shooting images. Even if the brightness of the light source changes greatly, the color temperature of the display output can be kept stable, avoiding frequent changes in the color tone of the picture, which is conducive to the operator to see the biological tissue clearly, and is conducive to the power of the light source. Adjustable endoscopes are promoted.

Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Description of drawings

FIG. 1 is a flow chart of a method for real-time correction of color temperature of an endoscope provided in an embodiment of the present application.

FIG. 2 is a relationship diagram between a color temperature correction coefficient and a light source control signal provided by an embodiment of the present application.

Fig. 3 is a schematic structural diagram of an endoscope color temperature real-time correction device provided in an embodiment of the present application.

FIG. 4 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Fig. 5 is a schematic structural diagram of a camera system provided by an embodiment of the present application.

Reference signs: 1. Image processing unit; 101, first acquisition module; 102, second acquisition module; 103, correction coefficient generation module; 104, correction module; 105, sending module; 2, light source control unit; 3, electronics Equipment; 301, processor; 302, memory; 303, communication bus; 4, camera; 5, display; 6, endoscope; 7, optical fiber; 8, light source.

Detailed ways

Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and arrangements of specific examples are described below. Of course, they are merely examples and are not intended to limit the invention. Furthermore, the present disclosure may repeat reference numerals and/or reference letters in different instances, such repetition is for simplicity and clarity and does not in itself indicate a relationship between the various embodiments and/or arrangements discussed.

Referring to Figure 1, a method for real-time correction of the color temperature of an endoscope, which is used for an endoscope with automatically adjustable light source power, includes the following steps:

S1: Obtain the corresponding relationship between the light source control signal and the color temperature of the image.

S2: Obtain a light source control signal, the light source control signal comes from the light source control unit.

S3: According to the light source control signal, a color temperature correction coefficient is generated by utilizing the corresponding relationship between the light source control signal and the color temperature of the image.

S4: Correct the color of the real-time captured image according to the color temperature correction coefficient to obtain a picture signal.

S5: Send the picture signal to the monitor.

The adjustment of light source power depends on the light source control signal sent by the light source control unit. In this embodiment, the light source control signal generated by the light source control unit is not only sent to the light source, but also sent to the image processing unit, and the image processing unit can know the current state of the light source. power or brightness. Therefore, the present invention does not need to install an optical sensor on the endoscope. Adding an optical sensor will lead to a more complicated circuit structure of the endoscope and a more cumbersome overall structure, and the feedback of the optical sensor will take time. Waiting for the feedback signal from the optical sensor to correct the color temperature will increase the image quality. Delay. There is no light in the living body, and the light source of the endoscope is the only light source for the light collected by the camera. Therefore, there is a unique relationship between the light source control signal and the color temperature of the real-time image captured by the camera.

The relationship between the light source control signal and the color temperature correction coefficient represents the relationship between brightness and color temperature deviation. Using the color temperature correction coefficient to process real-time captured images can keep the color temperature of the display output stable even if the brightness of the light source changes greatly, avoiding frequent changes in the color tone of the screen, which is beneficial The operator can see the biological tissue clearly, which is conducive to the popularization and use of the endoscope with adjustable light source power.

Those skilled in the art should understand that step S1 and step S2 may not distinguish the execution sequence, and may also be executed simultaneously. The corresponding relationship between the light source control signal and the image color temperature in step S1 can be stored in the storage medium, and can be recalled at any time when needed. The "acquire" action in step S1 actually includes the meaning of "read" and "load". The corresponding relationship between the light source control signal and the color temperature of the image may be a table, an image or a function.

An example of using an image to represent the corresponding relationship between the light source control signal and the image color temperature is as follows, and the specific steps of the method are:

S1: Read the light source control signal-image color temperature correction coefficient relationship curve.

S3: Generate a color temperature correction coefficient according to the light source control signal-image color temperature correction coefficient relationship curve. S4: Correct the color of the real-time captured image according to the color temperature correction coefficient to obtain a picture signal.

S5: Send the picture signal to the monitor.

The generation method of the light source control signal-image color temperature correction coefficient relationship curve is as follows:

S11': Make the light source emit light with the maximum power, make the camera shoot a white background, and perform white balance processing on the camera. White balance processing can use the camera's own automatic white balance function.

S12': Make the light source shine with different brightness, make the camera shoot the same white background at the same distance, and obtain multiple standard shooting images.

S13': Calculate the color temperature correction coefficient corresponding to the standard light source control signal according to the standard captured image.

S14': Draw a light source control signal-image color temperature correction coefficient relationship curve according to the color temperature correction coefficient and the corresponding standard light source control signal.

Among them, step S11 and step S12 need to be carried out in a dark room, steps S11 to S14 are the pre-steps of step S1, and also the pre-steps of the endoscope before working, but only need to update the light source control signal after the endoscope replaces the light source The corresponding relationship with the image color temperature does not need to be updated before each operation. More specifically, step S13 is: calculating the red correction coefficient and blue correction coefficient under each standard light source control signal according to multiple standard captured images; step S14 is: drawing a red curve according to the red correction coefficient and the corresponding standard light source control signal , draw the blue curve according to the blue correction coefficient and the corresponding standard light source control signal, as shown in Figure 2, the ordinate is the color temperature correction coefficient, including blue correction coefficient and red correction coefficient; the abscissa is the light source control signal, that is, the signal percentage.

If the corresponding relationship between the light source control signal and the image color temperature is a table or an image, the above step S12 needs to take a lot of images. To simplify the steps, preferably, the corresponding relationship between the light source control signal and the image color temperature is a fitting equation. The corresponding relationship between the light source control signal and the image color temperature includes a red correction coefficient fitting equation and a blue correction coefficient fitting equation; the color temperature correction coefficient includes a red correction coefficient and a blue correction coefficient. The concrete steps of this method are:

S1: Load the red correction coefficient fitting equation and the blue correction coefficient fitting equation.

S3: Substituting the light source control signal into the red correction coefficient fitting equation and the blue correction coefficient fitting equation to obtain the red correction coefficient under the light source control signal and the blue correction coefficient under the light source control signal respectively.

S5: Send the picture signal to the monitor.

The generation steps of the red correction coefficient fitting equation and the blue correction coefficient fitting equation include:

S11: Drive the light source to emit light with the basic light source control signal, and perform white balance on the image captured by the camera 4 under a white background;

S12: Under the same white background, at the same distance, record the output images of the camera system under different standard light source control signals Pi, and shoot multiple times under each standard light source control signal Pi, and obtain the average pixel value Ri of the red channel of the standard captured image (ie standard red pixel value), green channel average pixel value Gi (ie standard green pixel value), blue channel average pixel value Bi (ie standard blue pixel value).

S13: Calculate the red channel gain and blue channel gain of the output image of the camera system under different standard light source control signals Pi respectively, and the calculation formula is as follows:

Rg=Gi/Ri;

Bg=Gi/Bi;

Among them, Rg is the red channel gain; Bg is the blue channel gain.

S14: respectively fitting the relational equations of the standard light source control signal Pi and Rg, Bg (ie red correction coefficient fitting equation, blue correction coefficient fitting equation).

The red correction coefficient fitting equation is a quadratic equation with the red correction coefficient as the dependent variable and the light source control signal as the independent variable; the blue correction coefficient fitting equation is, with the blue correction coefficient as the dependent variable and the light source control signal as the independent variable The signal is a quadratic equation in one variable. Of course, you can also choose other equation fitting, such as polynomial fitting, the following takes the quadratic equation as an example, the form is as follows:

Rc=a1*Pi^2+b1*Pi+c1;

Bc=a2*Pi^2+b2*Pi+c2;

Among them, a1, a2, b1, b2, c1, c2 are the fitting coefficients, Rc is the red correction coefficient, Bc is the blue correction coefficient, that is, the ratio of a certain color pixel value to a green pixel value during calibration is called a certain color channel gain , calculated by shooting a white background; in actual application, the ratio of a certain color pixel value to a green pixel value is called a certain color correction coefficient, which is calculated by substituting the current light source control signal into the fitting equation.

The picture signal includes a red signal, a green signal and a blue signal, and correspondingly, step S4 is specifically as follows:

The red signal is equal to the real-time red pixel value multiplied by the red correction coefficient under the light source control signal; the green signal is equal to the real-time green pixel value; the blue signal is equal to the real-time blue pixel value multiplied by the blue correction coefficient under the light source control signal, that is :

R1=R0*Rc;

B1=B0*Bc;

Among them, R0 is the red channel pixel value of the image before correction (real-time red pixel value), B0 is the blue channel pixel value of the image before correction (real-time blue pixel value), and R1 is the red channel pixel value of the image after correction (red pixel value). signal), B1 is the blue channel pixel value (blue signal) of the rectified image.

Referring to Figure 3, an endoscope color temperature real-time correction device is used for endoscopes whose light source power can be automatically adjusted, and the device includes:

The first acquisition module 101 is configured to acquire the corresponding relationship between the light source control signal and the image color temperature;

The second acquiring module 102 is configured to acquire a light source control signal, and the light source control signal comes from a light source control unit;

The correction coefficient generating module 103 is configured to generate a color temperature correction coefficient according to the light source control signal and using the corresponding relationship between the light source control signal and the image color temperature;

The correction module 104 is used to correct the color of the real-time captured image according to the color temperature correction coefficient to obtain a picture signal;

The sending module 105 is configured to send the picture signal to the display.

The device may be equipped with an electronic storage medium, in which the corresponding relationship between the light source control signal and the image color temperature is stored, and the first acquisition module 101 is used to retrieve the corresponding relationship between the light source control signal and the image color temperature. The device is connected with the display, the endoscope, and the light source control unit for controlling the power of the light source to automatically adjust the color temperature of the endoscope image in real time.

Please refer to FIG. 4. FIG. 4 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. The present application provides an electronic device 3, including: a processor 301 and a memory 302, and the processor 301 and the memory 302 communicate through a communication bus 303 and/or other forms of connection mechanisms (not shown) are interconnected and communicate with each other, and the memory 302 stores a computer program executable by the processor 301. When the computing device is running, the processor 301 executes the computer program to execute when executing The method in any optional implementation manner of the above-mentioned embodiments, to realize the following functions: obtain the corresponding relationship between the light source control signal and the image color temperature; obtain the light source control signal, and the light source control signal comes from the light source control unit; according to the light source control signal, The corresponding relationship between the light source control signal and the image color temperature is used to generate a color temperature correction coefficient; the color of the real-time captured image is corrected according to the color temperature correction coefficient to obtain a picture signal; the picture signal is sent to the display.

Referring to Fig. 5, a kind of endoscopic camera system, comprises image processing unit 1, display 5, endoscope 6, the optical fiber 7 that is optically connected with endoscope 6, the light source 8 that is optically connected with optical fiber 7, and light source 8 is electrically connected. The connected light source control unit 2, the image processing unit 1 is connected with the video camera 4, the light source control unit 2, and the display 5, and the image processing unit 1 obtains the corresponding relationship between the light source control signal and the image color temperature; the image processing unit 1 obtains the light source control signal, and the light source The control signal comes from the light source control unit 2; the image processing unit 1 generates a color temperature correction coefficient according to the light source control signal and the corresponding relationship between the light source control signal and the image color temperature; the image processing unit 1 corrects the color of the real-time captured image according to the color temperature correction coefficient , to obtain a picture signal; the image processing unit 1 sends the picture signal to the display 5 . The real-time automatic adjustment of the color temperature of the image taken by the camera 4 is realized, so that the color tone of the image displayed on the display 5 will not change frequently, which is beneficial for the operator to see the biological tissue clearly.

In the description of this specification, descriptions referring to the terms "one embodiment," "certain embodiments," "exemplary embodiments," "examples," "specific examples," or "some examples" mean that the embodiments or An example describes a particular feature, structure, material, or characteristic that is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the described specific features, structures, materials or characteristics may be combined in any suitable manner in any one or more embodiments or examples.

The above description is a preferred embodiment of the present invention, and it should be pointed out that for those skilled in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, and these improvements and modifications are also considered Be the protection scope of the present invention.

Claims

A real-time correction method for endoscope color temperature, which is used for endoscopes with automatically adjustable light source power, is characterized in that it includes the following steps:

Obtain the corresponding relationship between the light source control signal and the image color temperature;

Acquiring a light source control signal, the light source control signal comes from a light source control unit;

According to the light source control signal, using the corresponding relationship between the light source control signal and the image color temperature to generate a color temperature correction coefficient;

Correcting the color of the real-time captured image according to the color temperature correction coefficient to obtain a picture signal;

Send the picture signal to the display.
The real-time correction method for endoscope color temperature according to claim 1, wherein the step of obtaining the corresponding relationship between the light source control signal and the image color temperature comprises reading the light source control signal-image color temperature correction coefficient relationship curve;

The step of generating the color temperature correction coefficient according to the light source control signal and using the corresponding relationship between the light source control signal and the image color temperature includes: comparing the light source control signal-image color temperature correction coefficient relationship curve to generate the color temperature correction coefficient ;

The method for generating the light source control signal-image color temperature correction coefficient relationship curve includes:

Drive the light source to emit light with the basic light source control signal, make the camera shoot a white background, and perform white balance processing on the camera;

Using a plurality of standard light source control signals to respectively drive the light source to emit light, so that the camera captures the white background, and obtains a plurality of standard photographed images;

calculating a color temperature correction coefficient corresponding to the standard light source control signal according to the standard captured image;

Drawing the light source control signal-image color temperature correction coefficient relationship curve according to the color temperature correction coefficient and the corresponding standard light source control signal.
The real-time correction method for endoscope color temperature according to claim 1, wherein the corresponding relationship between the light source control signal and the image color temperature includes a red correction coefficient fitting equation and a blue correction coefficient fitting equation; the color temperature correction Coefficients include red correction coefficient and blue correction coefficient;

The step of generating a color temperature correction coefficient according to the light source control signal using the corresponding relationship between the light source control signal and the image color temperature includes, substituting the light source control signal into the red correction coefficient fitting equation and the blue correction coefficient The fitting equation obtains the red correction coefficient under the light source control signal and the blue correction coefficient under the light source control signal respectively; the generation steps of the red correction coefficient fitting equation and the blue correction coefficient fitting equation include:

Drive the light source to emit light with the basic light source control signal, make the camera shoot a white background, and perform white balance processing on the camera;

Using a plurality of standard light source control signals to respectively drive the light source to emit light, make the camera capture the white background, and obtain standard red pixel values, standard green pixel values, and standard blue pixel values in the plurality of standard captured images;

Calculate the red channel gain corresponding to each of the standard light source control signals according to the standard red pixel value and the standard green pixel value under each of the standard light source control signals; according to the standard blue pixel value and standard under each of the standard light source control signals The green pixel value calculates the blue channel gain corresponding to each of the standard light source control signals;

Using a function to fit the standard light source control signal and the red channel gain to obtain the red correction coefficient fitting equation, using a function to fit the standard light source control signal and the blue channel gain to obtain the blue correction coefficient Fitting equation.
The method for correcting the color temperature of an endoscope in real time according to claim 3, wherein the basic light source control signal is a signal for driving the light source to emit light with maximum brightness.
The real-time correction method for endoscope color temperature according to claim 3, wherein the red channel gain under each standard light source control signal is equal to the standard green pixel value divided by the standard light source control signal The standard red pixel value under the light source control signal; the blue channel gain under each of the standard light source control signals is equal to the standard green pixel value under the standard light source control signal divided by the standard blue color under the standard light source control signal Pixel values;

The picture signal includes a red signal, a green signal and a blue signal;

The step of correcting the color of the real-time captured image according to the color temperature correction coefficient to obtain the picture signal includes:

Obtain the real-time red pixel value, real-time green pixel value and real-time blue pixel value in the real-time captured image;

The red signal is equal to the real-time red pixel value multiplied by the red correction coefficient under the corresponding light source control signal; the green signal is equal to the real-time green pixel value; the blue signal is equal to the real-time blue pixel Value multiplied by the blue correction factor under the corresponding light source control signal.
The real-time correction method for endoscope color temperature according to claim 3, wherein the standard red pixel value under each standard light source control signal is the average value obtained by taking multiple shots under the corresponding standard light source control signal; The standard green pixel value under each standard light source control signal is the average value obtained from multiple shots under the corresponding standard light source control signal; the standard blue pixel value under each standard light source control signal is in the corresponding The average value obtained from multiple shots under the standard light source control signal.
The real-time correction method for endoscope color temperature according to claim 3, wherein the red correction coefficient fitting equation is a unary with the red correction coefficient as the dependent variable and the light source control signal as the independent variable Quadratic equation; the fitting equation of the blue correction coefficient is a one-variable quadratic equation with the blue correction coefficient as the dependent variable and the light source control signal as the independent variable.
An endoscope color temperature real-time correction device for endoscopes with automatically adjustable light source power, characterized in that the device includes:

The first acquisition module is used to acquire the corresponding relationship between the light source control signal and the image color temperature;

The second obtaining module is used to obtain a light source control signal, and the light source control signal comes from a light source control unit;

A correction coefficient generating module, configured to generate a color temperature correction coefficient according to the light source control signal, using the corresponding relationship between the light source control signal and the image color temperature;

A correction module, configured to correct the color of the real-time captured image according to the color temperature correction coefficient to obtain a picture signal;

The sending module is used to send the picture signal to the display.
An electronic device, characterized in that it includes a processor and a memory, the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, it operates according to any one of claims 1-7. A step in said method.
An endoscope imaging system, comprising a display, an endoscope, an optical fiber optically connected to the endoscope, a light source optically connected to the optical fiber, and a light source control unit electrically connected to the light source, characterized in that, An image processing unit is also included, the image processing unit is connected to the camera, the light source control unit, and the display signal, and the image processing unit obtains the corresponding relationship between the light source control signal and the image color temperature; the image processing unit obtains A light source control signal, the light source control signal comes from a light source control unit; the image processing unit uses the corresponding relationship between the light source control signal and image color temperature according to the light source control signal to generate a color temperature correction coefficient; the image processing unit The color of the real-time captured image is corrected according to the color temperature correction coefficient to obtain a picture signal; the image processing unit sends the picture signal to a display.