A method of measuring the radiometric luminous exposure of a light source, a method of measuring the radiometric efficiency of a light source and a system

Abstract

The application relates to the field of industrial imaging and lighting, and relates to a light source parameter measurement method, in particular to a light source radiation illuminance measurement method, a radiation efficiency measurement method and a system. A camera is used to calculate basic radiation illuminance, and the basic radiation illuminance is updated and corrected based on an updated exposure time of the camera and an actual charge amount, so that the accuracy of the finally obtained light source radiation illuminance result is improved, and the deviation of the result is improved from + / - 10% to within + / - 1%. The method is suitable for light sources of various wavelengths, including visible light, ultraviolet and infrared, and different types of light sources, and has a wider range of use compared with the radiation illuminance meter in the prior art.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of industrial imaging and lighting, and is a light source parameter measurement method, in particular to a light source radiant intensity measurement method, a radiant efficiency measurement method and system. BACKGROUND

[0002] In the field of industrial imaging and lighting, the EMVA1288 standard has given the definition and method based on the calculation formula of radiant intensity.

[0003] However, according to the existing calculation method, there are differences between the actual test results and the camera or the actual measurement method. Moreover, the existing calculation method is only applicable to standard continuous light sources, and does not clearly define pulse-type and energy-varying light sources such as xenon lamps. SUMMARY

[0004] In order to solve the above problems, the present application provides a light source radiant intensity measurement method, a radiant efficiency measurement method and system, which uses an irradiance meter to measure radiant intensity data, and then modifies the existing radiant intensity calculation formula to make the light source radiant intensity measurement result more accurate.

[0005] In order to achieve the above purpose, the technical scheme adopted by the embodiments of the present application is as follows:

[0006] In a first aspect, a light source radiant intensity measurement method is provided, which is applied to an imaging system including a camera, a light source and a calibration object. The camera sends an on signal to the light source to generate a light source environment when starting exposure, and collects an image of the calibration object. The method includes determining pixel area data, quantum efficiency data and full well capacity data of the camera based on the camera's label information, and determining wavelength data based on the light source's label information. The base radiant intensity of the light source is determined based on the updated exposure time, quantum efficiency data, full well capacity data and wavelength data by the following formula: Where E is the base radiant intensity of the light source, μ f The full well capacity is h, the Planck constant, c is the speed of light, A is the pixel area, t is the updated exposure time, λ is the wavelength, and η(λ) is the quantum efficiency. The initial exposure time of the camera is set, and the initial exposure time is controlled to be reduced in a step form. Two gray scale change critical points of the image in the reduction process are determined, and the time between the two gray scale change critical points is taken as the updated integration time. The base radiant intensity is updated based on the updated integration time to obtain the radiant intensity. The initial exposure time is greater than the maximum value of the light source's lighting duration.

[0007] In some embodiments, the method further comprises: acquiring a calibration plate image based on the updated exposure time, and obtaining a real-time gray value of the image; updating the full well capacity based on a deviation of the real-time gray value from a saturated gray value, to obtain an actual charge capacity; and updating the radiant exposure based on the actual charge capacity.

[0008] In some embodiments, the method further comprises: determining a relative light intensity and a relative irradiance ratio in the wavelength range based on the determined target wavelength range, and updating the target radiant exposure based on the relative light intensity and the relative irradiance ratio, to obtain a radiant exposure corresponding to the wavelength range.

[0009] In some embodiments, a band-pass filter is selectively disposed on an optical path of the imaging system; and the determination of the relative light intensity in the wavelength range comprises: obtaining a corresponding wide band in a spectral range of the light source and determining a transmittance of the band-pass filter, and using the transmittance to represent the relative light intensity.

[0010] In some embodiments, the imaging system further comprises a radiant exposure meter for obtaining a reference radiant exposure of the light source; and the method further comprises: obtaining a plurality of radiant exposures corresponding to different updated exposure times, and a plurality of reference radiant exposures corresponding to the different updated exposure times; performing linear fitting on the plurality of radiant exposures and the plurality of reference radiant exposures, and updating the radiant exposure based on a linear fitting result to obtain a target radiant exposure, the target radiant exposure being represented by the following formula: E0=N*E+M; wherein E0 is the target radiant exposure, N and E are update parameters obtained through linear fitting.

[0011] In a second aspect, a method for measuring a radiation efficiency of a light source is provided, the method comprising: obtaining a radiant energy of the light source by a radiant exposure of the light source and an area of an output surface of the light source; and obtaining an electric energy of the light source by a capacitance of the light source and an output voltage of the light source; the radiant exposure being obtained based on any one of the above methods; and determining the radiation efficiency based on a ratio of the radiant energy to the electric energy.

[0012] In some embodiments, the electric energy of the light source is determined based on the following formula: Q e =0.5*C*V 2 wherein C is the capacitance of the light source, and V is the output voltage of the light source.

[0013] In a third aspect, an optical system is provided, which includes an imaging system and a measuring system; the imaging system includes a light source, a camera and a calibration object, the light source is configured to provide a light environment for the camera to capture an image of the calibration object; the measuring system includes a processing device and an auxiliary device, the auxiliary device is configured to obtain a reference irradiance of the light source, and the processing device is configured to execute the light source irradiance measuring method according to any one of the preceding aspects or / and the light source radiant efficiency measuring method according to any one of the preceding aspects.

[0014] In a fourth aspect, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor is configured to execute the light source irradiance measuring method according to any one of the preceding aspects or / and the light source radiant efficiency measuring method according to any one of the preceding aspects.

[0015] In a fifth aspect, a storage medium is provided, which stores a computer program, and the computer program is configured to be executed by a processor to execute the light source irradiance measuring method according to any one of the preceding aspects or / and the light source radiant efficiency measuring method according to any one of the preceding aspects.

[0016] In the technical scheme provided by the embodiments of the present application, the camera is used to calculate the basic irradiance, and the basic irradiance is updated and corrected based on the updated exposure time and the actual charge amount of the camera, so as to improve the accuracy of the finally obtained light source irradiance result, and the deviation of the result is improved from ±10% to within ±1%. And the method is suitable for light sources of various wavelengths, including visible light, ultraviolet and infrared, and different types of light sources, and compared with the existing technology using the irradiance meter, the method has a wider range of use. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0018] The methods, systems and / or programs in the drawings will be further described according to exemplary embodiments. These exemplary embodiments will be described in detail with reference to the drawings. These exemplary embodiments are non-limiting exemplary embodiments, in which the example numbers represent similar mechanisms in each view of the drawings.

[0019] Figure 1 is a schematic structural diagram of an optical system provided by the embodiments of the present application.

[0020] Figure 2 is a flowchart of a light source irradiance measuring method provided by the embodiments of the present application.

[0021] Figures 3-5 are different gray images in the embodiment of the present application.

[0022] Figure 6 is a flowchart of a method for measuring radiation efficiency of a light source provided by the embodiment of the present application.

[0023] Figure 7 is a structural diagram of a measuring device provided by the embodiment of the present application.

[0024] Figure 8 is a structural diagram of a server provided by the embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to better understand the above technical solutions, the technical solutions of the present application will be described in detail below through the accompanying drawings and specific embodiments. It should be understood that the specific features in the embodiments of the present application and the embodiments are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application. In the case of no conflict, the technical features in the embodiments of the present application and the embodiments can be combined with each other.

[0026] In the following detailed description, many specific details are set forth in order to provide a thorough understanding of the relevant teachings. However, it will be apparent to one skilled in the art that the present application can be practiced without these details. In other instances, well-known methods, procedures, systems, components, and / or circuits have been described at a relatively high level, without detail, in order to avoid unnecessary obscurity of the aspects of the present application.

[0027] The flowchart in the present application illustrates the execution process performed by the system according to the embodiment of the present application. It should be clearly understood that the execution process of the flowchart can not be executed in sequence. On the contrary, these execution processes can be executed in reverse order or simultaneously. In addition, at least one other execution process can be added to the flowchart. One or more execution processes can be deleted from the flowchart.

[0028] Before the embodiments of the present application are further described in detail, the terms and terms involved in the embodiments of the present application are explained, and the terms and terms involved in the embodiments of the present application are applicable to the following explanations.

[0029] (1) In response to, for indicating the condition or state on which the operation is performed, when the dependent condition or state is met, one or more operations performed can be real-time or have a set delay; in the absence of special instructions, there is no restriction on the execution order of multiple operations performed.

[0030] (2) Based on, to indicate the operation performed on the condition or state of the dependence, when the dependent conditions or states are met, one or more operations performed can be real-time, or have a set delay; in the absence of special instructions, there is no limit to the order of execution of multiple operations performed.

[0031] Reference Figure 1 The embodiment provides an optical system 10, which comprises an imaging system and a measurement system; the imaging system comprises a light source 11, a camera 12 and a calibration object (not shown), the camera is used for collecting an image of the calibration object, and the light source is used for providing a light environment for the camera, wherein the calibration object is made of a material with a smooth surface and high reflectivity.

[0032] In the embodiment, the light source specifically refers to a pulsed light source, including but not limited to a xenon lamp and other light sources with the same light-emitting characteristics.

[0033] Unlike the prior art, in the prior art, the definition and method of the calculation formula of the radiant exposure have been given in the EMVA1288 standard. However, according to the existing calculation method, there is a difference between the actual test result and the camera or the actual measurement method. Moreover, the existing calculation method is only applicable to a standard continuous light source, and does not clearly define a pulsed light source such as a xenon lamp and a light source with varying energy.

[0034] Therefore, the measurement method of the light source radiant exposure of the measurement system in the optical system in the embodiment is provided to solve the above technical problems, and the measurement method is applied to the processing device, and the processing process can be referred to Figure 2 The specific steps include:

[0035] Step S21. Determine the pixel area data, quantum efficiency data and full well capacity data of the camera based on the label information of the camera, and determine the wavelength data based on the label information of the light source; determine the basic radiant exposure of the light source based on the updated exposure time, quantum efficiency data, full well capacity data and wavelength data.

[0036] As known from the prior art, the core components of the camera include a lens and a digital image sensor, wherein the digital image sensor is essentially an optical-electric converter, and the working principle is to convert a certain number of photons incident on the pixel surface in the exposure integration time into a certain number of electrons, and then convert the electric charges stored in the capacitor into a voltage signal with a certain amplitude, and the signal is amplified to finally become the gray value of the digital image.

[0037] For an area of a pixel defined as A, the average number of photons incident on the pixel in a certain exposure integration time is μ p .

[0038] Since μ p is the number of photons incident on the pixel in a certain exposure integration time, it is equal to the exposure integration time t multiplied by the radiant exposure E and then multiplied by the pixel area A, i.e. A*E*t, and then divided by the energy of a single photon, i.e. h*v. E is the radiant exposure of the sensor surface, and the unit of the radiant exposure E is W / m2. The above formula is updated as follows: Then for the radiant exposure: Where h is the Planck constant.

[0039] Where, for a part of the incident photons are absorbed and converted into the amount of charge received by the camera, i.e. the full well charge amount μ f , the ratio of the number of photons converted into charge to the number of incident photons is defined as the quantum efficiency The quantum efficiency is related to the wavelength of the photons incident on the pixel. Since the frequency v of light is equal to the speed c of light divided by the wavelength λ, i.e. Therefore, based on the quantum efficiency relationship and the frequency relationship, the above radiant exposure formula is updated as follows:

[0040]

[0041] This formula is a radiant exposure calculation formula that can be used in the prior art, and through this formula, the radiant exposure corresponding to the light source can be obtained. Therefore, for a light source, as long as the parameters described above are obtained, the basic radiant exposure value of the light source can be obtained.

[0042] Where, the speed of light and the Planck constant are known specific numerical results, the full well charge amount, the pixel area, and the quantum efficiency are inherent properties of the camera, which can be obtained by looking up the table according to the camera model, and the integration time of the camera can be set according to the actual operation process and is also a known numerical value. Therefore, all the parameters described above in this embodiment are known and determinable numerical values, and by obtaining the above numerical values, the basic radiant exposure of the current light source at a specific wavelength can be determined.

[0043] Step S22. Set the initial exposure time of the camera, and control the initial exposure time to increase in a stepwise manner, determine two gray change critical points of the image in the reduction process, and take the time between the two gray change critical points as the updated exposure time, and update the initial radiant exposure based on the updated time to obtain the radiant exposure value.

[0044] In the embodiment, the base radiance of the light source can be directly obtained by obtaining the parameters of the camera in step S21. However, it is worth noting that the light source in the above-mentioned scene includes continuous light sources and pulsed light sources, and the pulsed light source is different from the continuous light source in that the light emission of the pulsed light source is not continuous, and the pulsed light source has an emission period and further includes three stages in each emission period, namely, a pre-emission delay stage, a lighting duration stage and a post-emission delay stage, which are determined by the characteristics of the pulsed light source. Therefore, with respect to the characteristics of the pulsed light source, the camera needs to more accurately determine the time of the continuous emission stage as the exposure time, i.e., the integration time of the camera.

[0045] Therefore, in the specific pulsed light source scene in the embodiment, the method in step S21 cannot accurately determine the integration time of the camera, so that the obtained radiance value has a large difference from the actual value.

[0046] To solve the technical problem, the embodiment uses step S22 to accurately obtain the time distribution of the three stages in a period of the light source, and updates and corrects the base radiance obtained in step S21 according to the time distribution, to obtain a more accurate radiance.

[0047] Specifically, to determine the time of the three stages, the nodes of the three stages need to be determined first, and then the time of the corresponding stage is accumulated according to the change time of the node, which is T1, T2 and T3 respectively. For the determination of the nodes of the three stages, the gray scale change collected in the embodiment is used as the marker node.

[0048] In the embodiment, the camera is configured with an initial exposure time, and the control relationship between the camera and the light source is that when the camera starts exposure, an opening signal is sent to the light source, so that the light source emits light. The value of the initial exposure time is set to be greater than the maximum value of the lighting duration of the light source in the embodiment. The maximum value of the lighting duration is a known value, which indicates that different pulsed light sources have a range of lighting duration values, for example, the lighting duration of a xenon lamp is 5-20us. Therefore, the initial exposure time is set to be greater than 20us in the measurement process, and the time is set to be 50us in the embodiment.

[0049] Then, the exposure time is collected and calibrated in a stepped increasing manner, and the gray scale change of the collected image in the reduction process and the corresponding two gray scale change critical points are determined. At this time, the time interval between the two change critical points is the time interval of the lighting duration stage of the xenon lamp, that is, the most accurate camera exposure time, i.e., the integration time.

[0050] It can be understood that when the initial exposure time T0 of the camera is greater than the lighting duration of the light source, it means that the three stages of the light source lighting process are included in the camera exposure stage, and in this stage, the first two stages do not have a light environment for collecting images, which can have a significant change in gray scale. The method used in this embodiment is to determine the corresponding stage node through the change of gray scale. Specifically, as the exposure time of the camera is reduced, if the change of the gray scale of the collected image is mainly the decrease of the gray scale value, it means that the image collection scene has a light environment at this time, and it means that the xenon lamp is at the end node of the second stage. The exposure time at this time does not include the third stage of the light source, and is only the accumulated time of the first stage and the second stage of the light source, that is, T1+T2. Similarly, the exposure time is reduced again until the gray scale increases, and the node is the end node of the first stage. The current exposure time T2 is only the accumulated time of the first stage of the light source, that is, T1.

[0051] Through the above process, T1+T2 and T1 can be determined. For the integral time T2 in this embodiment, the difference between the two times is determined, that is, the time between the two gray scale change critical points is used as the updated integral time.

[0052] And the updated integral time obtained for step S21 formula The updated radiation intensity formula is obtained: That is, the basic radiation intensity is updated to obtain the radiation intensity.

[0053] Through steps S21-S22, the lighting duration of the light source can be accurately determined, and the radiation intensity corresponding to the non-continuous light source can be calculated according to the lighting duration.

[0054] But it is worth noting that, for the above process, the full well capacity of the camera μ f is the inherent property of the camera, which does not necessarily equal to the charge amount μ e required when the camera is saturated. Therefore, in order to further accurately determine the radiation intensity, the accurate actual charge amount μ e needs to be obtained, and the full well capacity is replaced with the actual charge amount.

[0055] Specifically, the above measurement process in this embodiment further includes the following steps:

[0056] Step S23. Collect the calibration plate image based on the updated exposure time, and obtain the real-time gray scale value of the image. The full well capacity is updated based on the deviation of the real-time gray scale value and the saturated gray scale value, to obtain the actual charge amount, and the radiation intensity is updated based on the actual charge amount.

[0057] The actual charge quantity is determined according to the deviation between the real-time gray value corresponding to the current collected image and the saturated gray value, and the full well charge quantity μ f is updated to obtain the corresponding actual charge quantity. The deviation refers to the proportional relationship between the real-time gray value and the saturated gray value, and the full well charge quantity μ f is updated to obtain the actual charge quantity. The above process is based on the following formula: Wherein, σ represents the real-time gray value.

[0058] The actual charge quantity of the camera for image acquisition in the optical environment can be determined through the above process, and the basic radiance calculation formula, the radiance calculation formula, and the corresponding basic radiance value and radiance value obtained in step S21 or step S22 are updated based on the actual charge quantity. The process is described by taking the updating of the radiance after step S22 as an example. The formula for calculating the radiance value in step S22 is updated as follows:

[0059] In this embodiment, the radiance of the light source, especially the pulsed light source such as xenon lamp, in the system can be determined by the above method and optical system. The radiance value calculation formula obtained by the above method still has certain inaccuracy when calculating, so in order to improve the accuracy of radiance calculation, a system and method are provided in this embodiment based on the above optical system and radiance measurement method, and the above radiance and radiance calculation formula are updated by obtaining the influence parameters.

[0060] In this embodiment, a radiance meter is also provided in the system, and the radiance of the light source is directly obtained by the existing technology method as a reference radiance, which is used to correct the radiance obtained by the above method.

[0061] Specifically, different camera exposure times and light source brightnesses are set, and a plurality of reference radiance values of reference samples are obtained by using a radiance meter; and images corresponding to the different exposure times and light source brightnesses are obtained, and the gray values of each image are obtained, and a plurality of radiance values are calculated based on the gray values and the radiance measurement method in steps S21-S23.

[0062] In this embodiment, the gray value is the maximum gray value of the image instead of the average value, and because there may be problems such as inclination of the sensor due to installation problems, edge occlusion due to interface problems, and uneven photosensitive of the camera target surface in actual scenes, the maximum value can represent the degree of photoelectric conversion of the sensor in this embodiment.

[0063] The acquired plurality of radiation illuminations and the plurality of reference radiation illuminations are linearly fitted, and the radiation illumination acquired in steps S21-S23 is updated based on the linear fitting result to obtain a target radiation illumination, and the radiation illumination calculation formula is updated to obtain a target radiation illumination calculation formula, which is represented based on the following formula: E0=N*E+M; wherein E0 is the target radiation illumination, N and E are updated parameters, and are obtained through linear fitting.

[0064] Specifically, the linear fitting update process is described in detail. Different camera exposure times and light source brightnesses are set, as shown in Table 1, three groups of integration times of 1000us, 2000us, and 3000us are set, and different light source brightnesses are set, and the radiation illuminations of the three groups of light sources are measured by an irradiance meter to be 0.28 W / m2, 0.176 W / m2, and 0.082 W / m2 respectively. Under the three groups of parameters, three images are collected by the camera respectively, corresponding to Figures 3-5 , and the maximum gray value σ of each image is taken, which is 168, 201, and 122 respectively.

[0065]

[0066] Table 1. Data mapping table

[0067] According to the data in Table 1, the formula is substituted, and the corresponding radiation illumination value is calculated according to the method of steps S21-S23, and the result is shown in Table 2.

[0068] Radiant emittance W / m2 2 ]]> 2 ]]> ​ Difference % 0.176 0.184 -4.5 0.28 0.308 -9.8 0.082 0.074 9.2

[0069] Table 2. Result calculation table

[0070] Through fitting the above results, the linear formula is obtained as: E0=0.849*E+0.0225, wherein 0.849 and 0.0225 correspond to N value and M value respectively.

[0071] In this embodiment, the results of steps S21-S23 are corrected by this method to obtain the final target radiation illumination and the radiation illumination formula. Through this method and the corresponding radiation illumination formula, accurate radiation illumination can be obtained, and the most optimal method is presented in this embodiment.

[0072] From the above, the embodiment of the present application provides a light source irradiance measurement method, which calculates the basic irradiance by using a camera, and updates and corrects the basic irradiance based on the updated exposure time and actual charge amount of the camera, thereby improving the accuracy of the finally obtained light source irradiance result, and making the deviation of the result within ±1% from ±10%. The method is suitable for light sources of various wavelengths, including visible light, ultraviolet and infrared, and different types of light sources, and has a wider range of use compared with the existing technology using an irradiance meter.

[0073] In the embodiment, the irradiance of the light source can be obtained by the above processing process, referring to Figure 6 The embodiment also provides a light source radiant efficiency measurement method, including the following steps:

[0074] Step S61. Obtain the radiant energy of the light source by the irradiance of the light source and the light emitting surface area of the light source, and obtain the electric energy of the light source by the capacitance of the light source and the output voltage of the light source.

[0075] In the embodiment, the irradiance is obtained based on steps S21-S23.

[0076] Step S62. Determine the radiant efficiency based on the ratio of the radiant energy and the electric energy.

[0077] In the embodiment, the electric energy of the light source is determined based on the following formula: e = 0.5 * C * V 2 Wherein C is the capacitance of the light source, and V is the output voltage of the light source.

[0078] In the embodiment, since the xenon lamp has a wide spectral range, in order to obtain the irradiance corresponding to the light source of different wavelengths, an optical system and a measurement method are also provided.

[0079] Specifically, the optical system can be selectively configured with a band-pass filter, which takes a wide wavelength band in the spectral range of the xenon lamp, and records the transmittance p of the filter. According to the spectral range of the xenon lamp and the corresponding relative irradiance value, the irradiance value of the target wavelength band in the total irradiance value can be calculated to obtain the irradiance proportion ω.

[0080] According to the transmittance and the irradiance proportion, the target irradiance and the target irradiance formula obtained by the above process are updated to obtain the wavelength band irradiance and the wavelength band irradiance formula in the wavelength range, wherein the wavelength band irradiance formula is based on the following formula:

[0081]

[0082] To better implement the above method, the embodiment of the present application further provides a measuring device, which can be integrated in an electronic device, such as a terminal, a server, etc. The terminal can be a mobile phone, a tablet computer, a smart Bluetooth device, a notebook computer, a personal computer, etc. The server can be a single server or a server cluster composed of multiple servers. The embodiment of the present application can be implemented in the form of a computer program product, which can be integrated in an electronic device, such as a terminal, a server, etc.

[0083] For example, as shown in FIG. 7, the measuring device 70 can include a radiation intensity measurement module 71 and a radiation efficiency measurement module 72, wherein the radiation intensity measurement module 71 includes:

[0084] For example, as shown in FIG. 7, the measuring device 70 can include a radiation intensity measurement module 71 and a radiation efficiency measurement module 72, wherein the radiation intensity measurement module 71 includes: Figure 7

[0085] The basic radiation intensity unit 711 is configured to determine the pixel area data, the quantum efficiency data and the full well capacity data of the camera through the label information of the camera, determine the wavelength data based on the label information of the light source, and determine the basic radiation intensity of the light source based on the updated exposure time, the quantum efficiency data, the full well capacity data and the wavelength data.

[0086] The corresponding calculation formula is configured for the calculation process, and the formula is as follows: wherein E is the basic radiation intensity of the light source, μ f is the full well capacity, h is the Planck constant, c is the speed of light, A is the pixel area, t is the updated exposure time, λ is the wavelength, and η(λ) is the quantum efficiency.

[0087] The first updating unit 712 is configured to set the initial exposure time of the camera and control the initial exposure time to decrease in a ladder form, determine two gray change critical points of the image in the decreasing process, take the time between the two gray change critical points as the updated integration time, and update the basic radiation intensity based on the updated integration time to obtain the radiation intensity.

[0088] The corresponding calculation formula is configured for the calculation process, and the formula is as follows:

[0089] The second updating unit 713 is configured to collect the calibration plate image based on the updated exposure time, obtain the real-time gray value of the image, update the full well capacity based on the deviation between the real-time gray value and the saturated gray value to obtain the actual charge capacity, and update the radiation intensity based on the actual charge capacity.

[0090] The corresponding calculation formula is configured for the calculation process, and the formula is as follows: wherein σ represents the gray value of the image. ​

[0091] In the present embodiment, the radiant intensity value of the light source can be obtained by the above three modules

[0092] The radiant efficiency measurement module 72 comprises:

[0093] The parameter acquisition unit 721 is configured to obtain the radiant energy of the light source by the radiant intensity of the light source and the light emitting surface area of the light source, and obtain the electric energy of the light source by the capacitance of the light source and the output voltage of the light source.

[0094] In the present embodiment, the parameters include the radiant energy of the light source and the electric energy of the light source. The electric energy of the light source is determined based on the following formula: e Q = 0.5 * C * V 2 wherein C is the capacitance of the light source, and V is the output voltage of the light source. In the present embodiment, the electric energy acquisition unit is in electrical communication with the radiant intensity measurement module 71, and the electric energy acquisition unit is configured to obtain the radiant intensity by calling the measurement value obtained by the radiant intensity measurement module 71.

[0095] The radiant efficiency calculation unit 722 is configured to determine the radiant efficiency based on the ratio of the radiant energy and the electric energy.

[0096] The present application also provides an electronic device, which can be a terminal, a server, etc. The terminal can be a mobile phone, a tablet computer, a smart Bluetooth device, a notebook computer, a personal computer, etc. The server can be a single server or a server cluster composed of multiple servers, etc.

[0097] In some embodiments, the measurement device can also be integrated in multiple electronic devices, for example, the measurement device can be integrated in multiple servers, and the multiple servers can implement the light source radiant intensity measurement method and / or the radiant efficiency measurement method of the present application.

[0098] In the present embodiment, the electronic device of the present embodiment will be taken as a server for detailed description, for example, as shown in Figure 8 The server structure of the present application is shown in the figure, in particular:

[0099] The server can include a processor 801 with one or more processing cores, a memory 802 with one or more computer readable storage media, a power supply 803, an input module 804, a communication module 805, etc. Those skilled in the art can understand that Figure 8 The server structure shown in the figure does not constitute a limitation on the server, and can include more or fewer components than shown in the figure, or combine certain components, or different component arrangements. Among them:

[0100] The processor 801 is the control center of the server, which connects the various parts of the server through various interfaces and lines, and performs various functions and processes data of the server by running or executing software programs and / or modules stored in the memory 802 and calling data stored in the memory 802. In some embodiments, the processor 801 can include one or more processing cores; in some embodiments, the processor 801 can integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, etc., and the modem processor mainly processes wireless communication. It can be understood that the above-mentioned modem processor can also not be integrated into the processor 801.

[0101] The memory 802 can be used to store software programs and modules, and the processor 801 executes various functions and data processing by running the software programs and modules stored in the memory 802. The memory 802 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as an image playing function, etc.), etc.; the data storage area can store data created according to the use of the server, etc. In addition, the memory 802 can include a high-speed random access memory, and can also include a non-volatile memory, for example, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state memory device. Accordingly, the memory 802 can also include a memory controller to provide the processor 801 with access to the memory 802.

[0102] The server also includes a power supply 803 for powering the various components, and in some embodiments, the power supply 603 can be logically connected to the processor 801 through a power management system, so as to realize the functions of managing charging, discharging, and power consumption management, etc. through the power management system. The power supply 803 can also include one or more direct current or alternating current power supplies, a recharging system, a power failure detection circuit, a power converter or inverter, a power state indicator, etc. any component.

[0103] The server can also include an input module 804, which can be used to receive input digital or character information, and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0104] The server can also include a communication module 805, which in some embodiments can include a wireless module, and the server can perform short-range wireless transmission through the wireless module of the communication module 805, thereby providing the user with wireless broadband Internet access. For example, the communication module 405 can be used to help the user send and receive emails, browse web pages, and access streaming media, etc.

[0105] Although not shown, the server can also include a display unit and the like, which will not be described here. In particular, in the present embodiment, the processor 801 in the server will load the executable file corresponding to the process of one or more application programs into the memory 802 according to the following instructions, and run the application program stored in the memory 802 by the processor 801, thereby implementing the steps in the method of the embodiments of the present application.

[0106] The specific implementation of each of the above operations can refer to the previous embodiments, which will not be described here.

[0107] As can be seen from the above, the method is suitable for various wavelengths of light sources, including visible light, ultraviolet and infrared, and different types of light sources, and has a wider range of use compared to the radiation illuminometer in the prior art.

[0108] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or controlled by instructions related to hardware, which can be stored in a computer readable storage medium and loaded and executed by a processor.

[0109] To this end, the embodiments of the present application provide a computer readable storage medium, which stores a plurality of instructions capable of being loaded by a processor to execute the steps in any of the light source radiation illuminance measurement methods provided by the embodiments of the present application. For example, the instructions can execute the following steps:

[0110] Determine the pixel area data, quantum efficiency data and full well capacity data of the camera based on the camera's label information, and determine the wavelength data based on the label information of the light source; determine the basic radiation illuminance of the light source based on the updated exposure time, quantum efficiency data, full well capacity data and wavelength data;

[0111] Set the initial exposure time of the camera, and control the initial exposure time to decrease in a step form, determine the two gray change critical points of the image in the reduction process, and take the time between the two gray change critical points as the updated integration time, and update the basic radiation illuminance based on the updated integration time to obtain the radiation illuminance;

[0112] Collect the calibration board image based on the updated exposure time, and obtain the real-time gray value of the image, update the full well capacity based on the deviation of the real-time gray value and the saturated gray value to obtain the actual charge capacity, and update the radiation illuminance based on the actual charge capacity.

[0113] Execute the steps in any of the light source radiation efficiency measurement methods provided by the embodiments of the present application.

[0114] For example, the instructions can execute the following steps:

[0115] The radiant energy of the light source is obtained by the radiation illuminance of the light source and the light emitting surface area of the light source, and the electric energy of the light source is obtained by the capacitance of the light source and the output voltage of the light source;

[0116] The radiant efficiency is determined based on the ratio of the radiant energy and the electric energy.

[0117] The storage medium can include a read-only memory (ROM), a random access memory (RAM), a magnetic disk, an optical disk, etc.

[0118] According to an aspect of the present application, a computer program product or computer program is provided, which includes computer programs / instructions stored in a computer readable storage medium. A processor of an electronic device reads the computer programs / instructions from the computer readable storage medium, and the processor executes the computer programs / instructions, so that the electronic device performs the method provided in any of the various optional implementations of the light source radiation illuminance measurement aspect provided in the above embodiments.

[0119] Due to the instructions stored in the storage medium, the steps in any of the light source radiation illuminance measurement methods or / and the light source radiant efficiency measurement methods provided in the embodiments of the present application can be executed, and thus the beneficial effects that can be achieved in the methods provided in the embodiments of the present application can be achieved. Details are described in the above embodiments, and thus will not be described here.

[0120] In the present application, "at least one" means one or more, and "multiple" means two or more. "At least one of the following" or the like means any combination of the items, including any combination of single item or multiple items. For example, at least one of a, b, or c can represent a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, and c can be single or multiple.

[0121] It should be understood that in various embodiments of the present application, the size of the sequence number of the above processes does not mean the order of execution, and the execution order of the processes should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0122] The above describes in detail the light source radiation illuminance measurement method, the radiation efficiency measurement method, the system, the device, the electronic equipment, the storage medium and the program product provided by the embodiment of the application. This paper applies specific examples to explain the principle and implementation mode of the application. The above embodiment is only used to help understand the method and its core idea of the application. At the same time, for those skilled in the art, according to the idea of the application, the specific implementation mode and application range will be changed. In conclusion, the content of the specification should not be understood as a limitation of the application.

Claims

1. A method of measuring the radiometric luminous exposure of a light source, characterized in that, The method is applied to an imaging system, the imaging system comprising a camera, a light source and a calibration object, the camera emitting an open signal to the light source to generate a light source environment at the beginning of exposure and collecting an image of the calibration object; the method comprising: The camera-based tag information determines the pixel area data, quantum efficiency data and full well capacity data of the camera, and the light source-based tag information determines the wavelength data; the basic radiance of the light source is determined based on the updated exposure time, quantum efficiency data, full well capacity data and wavelength data by the following formula: wherein E is the basic radiance of the light source, μ f is the full well capacity, h is the Planck constant, c is the light speed, A is the pixel area, t is the updated exposure time, λ is the wavelength, and η(λ) is the quantum efficiency; setting an initial exposure time of the camera and controlling the initial exposure time to be reduced in a ladder form, determining two gray level change critical points of the image in the reduction process, and taking the time between the two gray level change critical points as an updated integration time, and updating the basic radiation intensity based on the updated integration time to obtain a radiation intensity; the initial exposure time is greater than the maximum value of the lighting duration of the light source.

2. The method of claim 1, wherein the light source radiometric measurement method is a method of measuring a radiance of a light source. The method further comprises: collecting a calibration plate image based on the updated exposure time, and obtaining real-time gray values of the image, updating the full well capacity based on the deviation of the real-time gray values and the saturated gray values to obtain an actual charge capacity, and updating the radiation intensity based on the actual charge capacity.

3. The method of claim 2, wherein the light source radiometric measurement method is a method of measuring a radiance of a light source. The method further comprises: determining the relative light intensity and the relative irradiance ratio in the wavelength range based on the determined target wavelength range, and updating the radiation intensity based on the relative light intensity and the relative irradiance ratio to obtain the radiation intensity corresponding to the wavelength range.

4. The method of claim 3, wherein the light source radiometric measurement method is a method of measuring a radiance of a light source. A band-pass filter can be selectively arranged on the optical path of the imaging system; the determination of the relative light intensity in the wavelength range comprises: obtaining a corresponding wide band in the light source spectral range and determining the transmittance of the band-pass filter, and using the transmittance to represent the relative light intensity.

5. The method of claim 2-4, wherein the method further comprises: The imaging system further comprises a radiation exposure meter for obtaining a reference radiation exposure of the light source; the method further comprises: obtaining a plurality of corresponding radiation exposures based on different updated exposure times, and a plurality of corresponding reference radiation exposures; linearly fitting a plurality of the radiation exposures and a plurality of the reference radiation exposures, and updating the radiation exposure based on the linear fitting result to obtain a target radiation exposure, the target radiation exposure being represented by the following formula: E0=N*E+M; wherein E0 is the target radiation exposure, N and E are update parameters obtained by linear fitting.

6. A method of measuring the radiant efficiency of a light source, characterized by, The method comprises: obtaining the radiation energy of the light source through the radiation intensity of the light source and the light-emitting surface area of the light source, and obtaining the electrical energy of the light source through the capacitance of the light source and the output voltage of the light source; the radiation intensity is obtained based on the method of any one of claims 1-5; determining the radiation efficiency based on the ratio of the radiation energy and the electrical energy.

7. The method of claim 6, wherein the light source radiometric efficiency is measured by: The electrical energy of the light source is determined based on the formula: Q e = 0.5 * C * V 2 where C is the capacitance of the light source and V is the output voltage of the light source.

8. An optical system characterized by comprising: The system comprises an imaging system and a measurement system; the imaging system comprises a light source, a camera and a calibration object, the light source being used to provide a light environment for the camera to collect an image of the calibration object; the measurement system comprises a processing device and an auxiliary device, the auxiliary device being used to obtain a reference radiation exposure of the light source, and the processing device being used to execute the light source radiation exposure measurement method of any one of claims 1-5 and / or the light source radiation efficiency measurement method of any one of claims 6-7.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the method of measuring the radiometric luminous exposure of a light source according to any one of claims 1 to 5 or / and the method of measuring the radiometric efficiency of a light source according to any one of claims 6 to 7 when executing the computer program.

10. A storage medium having stored thereon a computer program, characterized in that The computer program, when executed by the processor, implements the method of measuring the radiometric luminous exposure of a light source according to any one of claims 1 to 5 or / and the method of measuring the radiometric efficiency of a light source according to any one of claims 6 to 7.

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