Multi-zone multi-spectral detection device and detection method thereof, electronic device

Abstract

The application discloses a multi-zone multi-spectrum detection device and a multi-zone multi-spectrum detection method thereof. The multi-zone multi-spectrum detection device has a plurality of detection zones, and the detection zones are provided with a plurality of spectral channels of different wave bands. The multi-zone multi-spectrum detection method comprises the following steps: combining actual detection signals of at least two detection zones whose actual detection signals of at least one spectral channel are less than a threshold value. The multi-zone multi-spectrum detection method can realize multi-zone multi-spectrum detection, has a large dynamic range of light intensity, and has a high signal-to-noise ratio.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of multi-zone multi-spectrum detection, in particular to a multi-zone multi-spectrum detection device and a detection method thereof and an electronic device BACKGROUND

[0002] The essence of photography is to record the light information at that time. Nowadays, the most mainstream light recording method is through a CCD (Charge-Coupled Device) or a CMOS (Complementary Metal-Oxide Semiconductor) device, which converts the light signal into an electrical signal based on a photodiode for detection and recording. However, due to the working principle of the photodiode, these methods can only record the brightness information at different positions according to the light intensity, and cannot capture color information.

[0003] The color distinction of light is actually determined by the wavelength of light. For example, the wavelength of red light is about 620nm-780nm, the wavelength of green light is about 490nm-560nm, and the wavelength of near-infrared light is about 780nm-1500nm. The photodiode can only detect the intensity of light energy, and cannot distinguish different wavelengths. However, the human eye is different, and the sensitivity of the human eye to different wavelengths of light energy is different. For example, if the environment light contains the above three wavebands of light at the same time, and the light intensity of each waveband is the same, the human eye will perceive more green light energy than red light energy, and the infrared light energy cannot be perceived by the human eye. The purpose of photography is to restore the light and shadow information that the human eye can perceive at that time. However, due to the indiscriminate recording of different wavelengths of light by the photodiode, there is a phenomenon that the photo and the actual light and shadow effect are inconsistent, which is called color cast.

[0004] Under the background that smart phones and other intelligent terminal devices have higher and higher requirements for photography, the demand for multi-spectrum detection of environmental light by mobile phone manufacturers is also increasingly urgent. Multi-spectrum detection is to detect different wavelengths of light signals in the environment light, record the size of the light energy of each waveband, which is equivalent to recording all the component information of each waveband in the environment light at that time. Then, the intelligent terminal device can use this information to correct the photographed picture by algorithm, effectively restoring the light conditions that the human eye can perceive at the time when the image was recorded.

[0005] At present, only a few terminals such as mobile phones have been equipped with multi-spectrum detection, but usually only single-zone multi-spectrum detection can be performed, and the multi-spectrum detection range is limited. SUMMARY

[0006] In view of this, the present application provides a multi-zone multi-spectrum detection device and a detection method thereof, and an electronic device, to solve the problem of limited multi-spectrum detection range of the prior art.

[0007] The application provides a multi-zone multi-spectrum detection method of a multi-zone multi-spectrum detection device, the multi-zone multi-spectrum detection device has a plurality of detection zones, and the detection zones are provided with a plurality of spectrum channels of different wave bands; the multi-zone multi-spectrum detection method comprises the following steps: combining actual detection signals of at least two detection zones in which actual detection signals of at least one spectrum channel are less than a threshold value.

[0008] Optionally, the combining comprises: accumulating the actual detection signals of each same spectrum channel in the at least two detection zones.

[0009] Optionally, the combining comprises: only accumulating the actual detection signals of the same spectrum channel in which the actual detection signals of the at least two detection zones are less than a threshold value.

[0010] Optionally, the spectrum channel has a noise floor, and a ratio of an accumulated value of the actual detection signals of the same spectrum channel after accumulation to a noise floor accumulated value of the corresponding spectrum channel is greater than a ratio of the threshold value to the noise floor.

[0011] Optionally, the noise floor accumulated value M = n 1 / 2 m, n are the accumulated number of spectrum channels, and m is the noise floor of a single spectrum channel.

[0012] Optionally, the method further comprises: performing average processing on the combined signal to obtain an average value, and taking the average value as a corrected detection value of the combined spectrum channel in each detection zone.

[0013] Optionally, the at least two detection zones are sequentially adjacent to each other.

[0014] Optionally, when the actual detection value is less than a minimum limit value, the actual detection values of the same spectrum channel of all detection zones are combined; and when the actual detection value is greater than or equal to the minimum limit, the actual detection values of the same spectrum channel of sequentially adjacent detection zones are combined.

[0015] The application further provides a multi-zone multi-spectrum detection device, comprising: a plurality of detection zones, the detection zones are provided with a plurality of spectrum channels of different wave bands, and are used for outputting actual detection of each spectrum channel in each detection zone; and a signal combining module connected to the plurality of detection zones and used for combining actual detection signals of at least two detection zones in which actual detection signals of at least one spectrum channel are less than a threshold value.

[0016] The application provides a multi-zone multi-spectrum detection device, comprising: a plurality of detection zones, wherein the detection zones are provided with a plurality of spectrum channels of different wave bands, and are used for outputting actual detection of each spectrum channel in each detection zone; a memory, used for storing a computer program; and a processor, connected to the plurality of detection zones and the memory, wherein the computer program is executed by the processor to realize the multi-zone multi-spectrum detection method.

[0017] An electronic device, characterized in that, comprising the multi-zone multi-spectrum detection device according to any one of the above or capable of realizing the multi-zone multi-spectrum detection method according to any one of the above.

[0018] The multi-zone multi-spectrum detection method according to the application can dynamically select whether the detection zone needs to be combined with the surrounding detection zone according to the light intensity received by each detection zone and the surrounding detection zone, and determine the position and quantity of the detection zone that needs to be combined, so that under any light intensity condition, the subtle differences of the light components in different positions can be well distinguished, and the detection data of each detection zone has a good signal-to-noise ratio, the multi-zone multi-spectrum detection is realized, and the range of the spectrum detection is improved. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0020] Figure 1 is a distribution diagram of the detection zone of the multi-zone multi-spectrum detection method according to an embodiment of the application;

[0021] Figure 2 is a distribution diagram of the spectrum channel in the detection zone of the multi-zone multi-spectrum detection method according to an embodiment of the application;

[0022] Figure 3 is a diagram of the actual detection value combination of the spectrum channel of the plurality of detection zones in the multi-zone multi-spectrum detection method according to an embodiment of the application;

[0023] Figure 4 is a diagram of the corrected detection value of the combined spectrum channel of the multi-zone multi-spectrum detection according to an embodiment of the application;

[0024] Figure 5 is a diagram of the combination of the detection zone of the multi-zone multi-spectrum detection method according to an embodiment of the application. DETAILED DESCRIPTION

[0025] As described in the background section, existing technologies can only perform single-area multispectral detection, resulting in a limited multispectral detection area and limited improvement in photographic imaging quality. Typically, the entire imaging area is used as the multispectral detection area, with multiple spectral channels set within this entire area, ensuring consistent spectral information for the same wavelength band at different locations throughout the imaging area.

[0026] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application. In the absence of conflict, the following embodiments and their technical features can be combined with each other.

[0027] Please refer to Figure 1 This is a schematic diagram of the detection area distribution for multi-zone multispectral detection according to an embodiment of the present invention.

[0028] To achieve multi-region multispectral detection, it is necessary to increase the multispectral detection area, for example, by dividing the imaging area into... Figure 1 The example shows 7*5 detection areas. Each area is further divided into multiple spectral channels corresponding to different wavelengths, to detect light signal energy at multiple different wavelengths (colors). Figure 1 In the example, signals from nine different wavelengths are detected in each region. Each region and each wavelength within a region requires a corresponding spectral channel with varying intensity. For example... Figure 1 This requires 7*5*9=341 spectral channels, with each channel outputting a detection signal. Therefore, multi-zone multispectral detection requires a correspondingly large number of detection channels to be operational simultaneously.

[0029] In addition, the range of light energy variation in different bands is very large under different environments, so each detection channel needs to have a large dynamic measurement range.

[0030] Therefore, to achieve multi-zone multispectral detection, a large number of channels are required, and each channel needs to cover a large measurement range. This places high demands on the design of the detection channels, as well as on the complexity and power consumption of the circuit implementation, resulting in significant hardware overhead. This is why current technologies employ single-zone multispectral detection.

[0031] To reduce the design requirements of the detection channel, thereby reducing design difficulty and power consumption, lowering the hardware overhead of multi-zone multispectral detection, and improving the performance of multi-zone multispectral detection, this application proposes a new multi-zone multispectral detection device and its detection method, which achieves high signal-to-noise ratio multi-zone multispectral detection while reducing hardware overhead.

[0032] The multispectral detection method employs a multispectral detection device, such as... Figure 2 As shown, the imaging region 100 is divided into several detection regions, and the detection regions are provided with several spectral channels of different wavelengths; the multispectral detection method includes: merging the actual detection signals of at least two detection regions where the actual detection signal of at least one spectral channel is less than a threshold.

[0033] As a multispectral detection method, each detection area typically has more than four spectral channels. The more spectral channels there are, the shorter the wavelength range recorded by each spectral channel, and the richer the spectral information obtained by each detection area.

[0034] exist Figure 2 In the illustrated embodiment, each detection area is provided with the same spectral channels. Specifically, each detection area is the same size and has the same number and the same wavelength distribution of spectral channels. Taking four detection areas 101, 102, 103, and 104 as examples, each detection area has 9 spectral channels. Spectral channels A1, B1, C1, and D1 are the same spectral channels, corresponding to the same wavelength (color); spectral channels A2, B2, C2, and D2 are the same spectral channels, corresponding to the same wavelength (color); the spectral channels in other detection areas are not specifically labeled and will not be described again.

[0035] In other embodiments, if the accuracy or band requirements for multispectral detection at different locations within each imaging region are different, different numbers and / or different bands of spectral channels can be set in the detection regions at different locations.

[0036] There is a correspondence between the positions of each spectral channel and the positions of the pixels in the image. Ideally, each detection area corresponds to each pixel. However, due to limitations in current coating (filter) technology, it is not possible to achieve a correspondence between each pixel and each spectral channel. This means that the resolution of the spectral channels is not as high as the imaging resolution; typically, a group of pixels at fixed positions corresponds to a fixed spectral channel. The smaller the size of a single detection area, the fewer the corresponding imaging pixels, resulting in higher resolution for multispectral detection and greater resolution for spectral variations.

[0037] For a single detection area, when the received light intensity is weak, the amplitude of the electrical signal generated by the light energy of the corresponding wavelength band received by individual or all spectral channels within the detection area, i.e., the actual detection signal, will be low. Since each detection channel has a noise floor, a small actual detection signal leads to a low signal-to-noise ratio (SNR). Therefore, in the embodiments of this application, the actual detection signals of at least two detection areas where the actual detection signal of at least one spectral channel is less than a threshold are merged. This merging refers to signal accumulation, which can be a simple addition or an addition according to a certain weight ratio. The accumulation of the actual detection signals multiplies the total signal amplitude. However, due to the non-correlation principle of noise, the increase in total noise after the accumulation of noise contributed by each detection channel is less than the increase in the detection signal, thus improving the SNR. This allows for a high SNR even in low-light conditions, thereby reducing the requirements for spectral channel design specifications and enabling the implementation with simpler, lower-power circuits.

[0038] Since the distribution of ambient light is regional, detection areas that are close in location usually receive light intensity with similar distributions. When the actual detection signal of a certain spectral channel within a detection area is less than a threshold, the actual detection signals of other spectral channels within that detection area will also typically be less than the threshold, as will the actual detection signals of spectral channels in several adjacent detection areas. Therefore, the actual detection signals of several adjacent detection areas can be merged. Preferably, for a specific spectral channel in a particular wavelength band, several adjacent detection areas where the actual detection signals are all less than the threshold are selected and merged.

[0039] In some embodiments, the merging includes: accumulating the actual detection signals of each identical spectral channel in the at least two detection regions, that is, accumulating the light energy detection results within the same wavelength range in the merged region into a single value.

[0040] Please refer to Figure 2 If the actual detection values ​​of spectral channels A1, B1, C1, and D1 are all less than the threshold, while the actual detection values ​​of the spectral channels in other regions are greater than the threshold, then the actual detection values ​​of the four detection regions are merged.

[0041] In some embodiments, due to the regionality of light distribution, it can be approximated that the signal-to-noise ratio of all spectral channels within these four detection regions is low, and the actual detection values ​​of each spectral channel are merged. That is, for the first spectral channel, the accumulated value of the actual detection values ​​is obtained as Q1 = A1 + B1 + C1 + D1, which is taken as the accumulated detection value corresponding to the first spectral channel (please refer to...). Figure 3For the second spectral channel, the accumulated value of the actual detected signal, Q2 = A2 + B2 + C2 + D2, is obtained as the accumulated detection value corresponding to the second spectral channel; and so on, to obtain the accumulated detection values ​​of the actual detected signals for each spectral channel. Through this merging process, for the merged spectral channel, only one accumulated detection value needs to be recorded, instead of recording multiple actual detection values ​​separately.

[0042] In other embodiments, under specific detection scenarios, such as red light illumination, the intensity of red light is higher than that of other light bands. This can lead to situations where the actual detection value of the spectral channel corresponding to red light exceeds a threshold, satisfying the signal-to-noise ratio requirement; while the actual detection value of the spectral channels corresponding to other light bands is lower than the threshold. In such cases, to achieve more accurate recording of spectral information, only the actual detection signals of the same spectral channels within at least two detection regions that are lower than the threshold can be accumulated. Spectral channels with actual detection signals greater than or equal to the threshold are left unprocessed. For example, Figure 2 In the first case, if only the actual detection signals of A1, B1, C1, and D1 are less than the threshold, then only the actual detection signals of the corresponding first spectral channels are accumulated to obtain the accumulated value Q1 = A1 + B1 + C1 + D1, which is used as the accumulated detection value for the first spectral channel. For another example, if the actual detection signals of A1, B1, C1, and D1 are less than the threshold, and the actual detection signals of A2 and B2 are also less than the threshold, then for the first spectral channel, the actual detection signals of the first spectral channels in the four detection areas are merged to obtain the accumulated value Q1 = A1 + B1 + C1 + D1; while for the second spectral channel, only the actual detection values ​​of the second spectral channel in the two detection areas need to be merged to obtain the accumulated value Q2 = A2 + B2, which is used as the accumulated detection value for the second spectral channel in these two areas, and the detection signals of the second spectral channels in the other two areas are not accumulated. Therefore, merging the actual detection signals of different detection areas can be done only for the merging of spectral channels whose actual detection signals are less than the threshold.

[0043] The threshold value can be set based on the noise floor of the spectral channel design. Since photoelectric conversion is based on a diode structure, a certain degree of noise floor exists due to manufacturing processes and other factors. Because the photosensitive areas of the same detection device are usually formed using the same process, they typically have the same noise floor. Therefore, the noise floor of each spectral channel is the same, and correspondingly, the threshold values ​​of each spectral channel are also the same.

[0044] In other embodiments, different spectral channels within the same detection area can correspond to different thresholds; the same spectral channels in different detection areas can also correspond to different thresholds; this can be set according to different needs.

[0045] The threshold corresponding to the spectral channel must satisfy the ratio of the threshold TH to the noise floor m, that is, TH / m must be high enough. At this time, when the actual detection signal of the spectral channel is greater than or equal to the threshold, the measured signal-to-noise ratio can meet the requirements.

[0046] When the actual detection signals from multiple detection areas are combined, the ratio of the accumulated value Q after the actual detection signals of the same spectral channel are added together to the cumulative value M of the corresponding spectral channel noise floor is greater than the ratio of the threshold TH to the noise floor m, that is, Q / M > TH / m, which improves the signal-to-noise ratio.

[0047] In some embodiments, the cumulative noise floor value M = n 1 / 2 *m, where n is the number of spectral channels accumulated, and m is the noise floor of a single spectral channel. For example, when merging a 2*2 detection region, the total signal amplitude increases by nearly four times after accumulating the actual detection values ​​of the four spectral channels. However, due to the non-correlation principle of noise, the total noise amplitude increases by four times after accumulating the noise contributed by each detection channel. 1 / 2 The merging of 2x2 regions directly increases the signal-to-noise ratio of signal detection in that region by a factor of 1, making it twice the original value.

[0048] In some embodiments, the method further includes averaging the merged signals to obtain an average value, which is then used as the corrected detection value for the merged spectral channels in each detection region. The averaging process can be either an arithmetic average or a weighted average.

[0049] When using an arithmetic mean, for example for a 2x2 merged region, for the first spectral channel, the final value is... As correction values ​​for each of the four first spectral channels, i.e., for a 2*2 merged region, the same first spectral channel correction value is used. Other spectral channels that were not merged retain their original actual detection values ​​(please refer to...). Figure 4 ).

[0050] In some embodiments, lens intrinsic parameters can be used in conjunction with the actual detection signal to reduce the impact of lens distortion by assigning different weights to the actual detection signal based on the location of different detection areas. Furthermore, based on human eye characteristics, different regions of the image can be emphasized (increased weight) or weakened (decreased weight) by setting weights; for example, the closer to the center of the entire imaging area, the greater the weight. In one embodiment, x1 + x2 + x3 + x4 = 4, x1 < x2 = x3 < x4. The above is only a simplified illustration of the weight setting. Those skilled in the art can reasonably set the weights of each detection area according to the hardware conditions of the detection device and the imaging requirements.

[0051] In actual imaging, the merged detection areas use the same corrected detection value for the corresponding spectral channels as the detection value for the light intensity of the corresponding wavelength band in that area. Therefore, the light intensity of that wavelength band at different locations within the merged area lacks distinguishability (even if the corrected detection values ​​of the spectral channels in different detection areas differ slightly due to weighting settings, the differences are very small). The more detection areas merged, the greater the optimization of the signal-to-noise ratio, but the fewer distinguishable areas there are. In environments with strong contrast between light and dark, more refined area division can better reveal the detailed changes in ambient light.

[0052] Therefore, in this application, based on the light intensity received by each detection area and its surrounding detection areas, the system dynamically selects whether a detection area needs to be merged with its surrounding detection areas, and determines the location and number of detection areas to be merged. This ensures that, under any light intensity condition, subtle differences in the ambient light composition at different locations can be well distinguished, while also guaranteeing a good signal-to-noise ratio for the detection data of each detection area. Due to the different light conditions at different locations, some detection areas receive stronger light intensity and therefore do not require merging; some detection areas have weaker light intensity and can undergo small-scale merging; and some areas have very weak light intensity and can undergo large-scale merging to improve the signal-to-noise ratio of the detection data in those areas.

[0053] In one embodiment, the at least two detection regions used for merging must be sequentially connected, i.e., both located on the same continuous trajectory, to ensure that the merged detection regions are as close as possible in location.

[0054] In other embodiments, when the actual detected value is less than a minimum limit, the actual detected values ​​of the same spectral channels in all detection areas are merged, regardless of the positional relationship between the merged detection areas. When the actual detected value is greater than or equal to the minimum limit, the actual detected values ​​of the same spectral channels in sequentially adjacent detection areas are merged.

[0055] Please refer to Figure 5 This is a schematic diagram of the merging of detection regions during a multispectral detection process according to an embodiment of this application.

[0056] In this embodiment, at a given detection time, there are multiple merging regions due to the different light intensity distributions at various locations. In this embodiment, "merging" refers to the merging of the actual detection signals of the spectral channels within the detection region, or simply the merging of detection regions. The merged detection regions constitute a merging region.

[0057] The first merged region I is composed of four detection regions. For a specific spectral channel, the actual detection values ​​of these four detection regions are all less than the corresponding threshold.

[0058] The second merged region II is composed of five consecutive detection regions. For a specific spectral channel, the actual detection values ​​of these five detection regions are all less than the corresponding threshold.

[0059] The third merging region III is formed by merging three detection regions, and the fourth merging region IV is formed by merging three detection regions. In this embodiment, the actual detection values ​​of specific spectral channels in the third merging region III and the fourth merging region IV are close, but because these six detection regions are discontinuous, they form two separate merging regions to reflect the spectral distinction at different locations as much as possible.

[0060] The fifth merging region VI is formed by merging two discontinuous sub-merging regions. Compared to the third merging region III and the fourth merging region IV, the actual detection of specific spectral channels within the fifth merging region VI is lower, below the minimum threshold. This indicates that the received light intensity within this merging region is very weak, contributing little to spectral differentiation. Therefore, even if the two sub-merging regions are not contiguous, they can be merged into the fifth merging region VI to maximize the signal-to-noise ratio. The minimum threshold can be set according to actual needs.

[0061] For other detection areas, since the received light intensity is strong, the actual detection values ​​in each channel are all greater than the corresponding thresholds, so there is no need to perform merging processing.

[0062] Since the light intensity distribution changes continuously during the detection process, the merging method for each detection area must be adjusted according to the current light intensity distribution. The intensity of the corresponding spectrum in each spectral channel within each detection area is detected in real time. Based on the changes in the actual detection values, the merging processing method can be adjusted in real time, such as the position and number of merged detection areas.

[0063] The multi-zone multispectral detection method described above can improve the dynamic range and signal-to-noise ratio of multispectral detection. For example, previously, each channel had to ensure that it wouldn't overexpose under high input light intensity (i.e., exceed the measurement limit of the spectral channel), while also ensuring that the output result still had a satisfactory signal-to-noise ratio under weaker input light intensity. Therefore, the requirements for the spectral channels were very high, resulting in high complexity and power consumption in the circuit implementation. However, with the multi-zone multispectral detection scheme of this application, when the input light intensity is very low, the merging of multiple detection areas increases the signal amplitude, while the increase in noise amplitude is less than the increase in signal amplitude, thus improving the signal-to-noise ratio. Therefore, the requirements for spectral channel design specifications are reduced, and simpler, lower-power circuits can be used. This effectively reduces the dynamic range of each spectral channel while still meeting the accuracy requirements of multi-zone multispectral ambient light detection, significantly reducing the hardware overhead of the scheme.

[0064] Embodiments of this application also provide a multispectral detection device, comprising: a plurality of detection regions, each detection region having a plurality of spectral channels of different wavelengths, for outputting the actual detection of each spectral channel within each detection region; and a signal merging module connected to the plurality of detection regions, for merging the actual detection signals of at least two detection regions where the actual detection signal of at least one spectral channel is less than a threshold. Specific merging methods and details can be found in the detailed descriptions in the foregoing embodiments, and will not be repeated here.

[0065] An embodiment of this application also provides a multispectral detection device, comprising: a plurality of detection regions, wherein the detection regions are provided with a plurality of spectral channels of different wavelengths for outputting the actual detection of each spectral channel in each detection region; a memory for storing a computer program; and a processor connected to the plurality of detection regions and the memory, wherein when the computer program is executed by the processor, it can implement the multi-region multispectral detection method described in the above embodiments.

[0066] This application also provides an electronic device, characterized in that it includes the multi-zone multispectral detection device described in the above embodiments; or it can implement the multi-zone multispectral detection method described in the above embodiments. The electronic device can be a smartphone, tablet computer, smartwatch, or other terminal device with a shooting function. The multi-zone multispectral detection device of this application can acquire multispectral information, improving the shooting effect. The electronic device can also be a multispectral detection device used for spectral detection, achieving spectral imaging effects through multi-zone multispectral detection.

[0067] The above description is merely an embodiment of this application and does not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, such as the combination of technical features between embodiments, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A multi-zone multispectral detection method for a multi-zone multispectral detection device, characterized in that, The multi-zone multispectral detection device has several detection zones, and each detection zone is provided with several spectral channels of different wavelengths. The multi-region multispectral detection method includes: The actual detection signals of at least two detection regions where the actual detection signal of at least one spectral channel is less than a threshold are merged. The merging includes: accumulating the actual detection signals of each identical spectral channel in the at least two detection regions, or accumulating only the actual detection signals of the identical spectral channels in the at least two detection regions where the actual detection signal is less than a threshold, wherein the actual detection signal is optical signal energy.

2. The multi-region multispectral detection method according to claim 1, characterized in that, The spectral channel has a noise floor, and the ratio of the accumulated value of the actual detection signals of the same spectral channel to the accumulated noise floor value of the corresponding spectral channel is greater than the ratio of the threshold to the noise floor.

3. The multi-region multispectral detection method according to claim 2, characterized in that, The cumulative noise level M=n 1 / 2 *m, where n is the cumulative number of spectral channels and m is the noise floor of a single spectral channel.

4. The multi-region multispectral detection method according to claim 1, characterized in that, It also includes averaging the merged signals to obtain an average value, which is then used as the corrected detection value for the merged spectral channels in each detection region.

5. The multi-region multispectral detection method according to claim 1, characterized in that, The at least two detection areas are connected sequentially.

6. The multi-region multispectral detection method according to claim 1, characterized in that, When the actual detected value is less than the minimum limit, the actual detected values ​​of the same spectral channel in all detection areas are merged. When the actual detected value is greater than or equal to the minimum limit, the actual detected values ​​of the same spectral channel in adjacent detection areas are merged.

7. A multi-zone multispectral detection device, characterized in that, include: Several detection areas, each detection area is provided with several spectral channels of different wavelengths, for outputting the actual detection of each spectral channel in each detection area; A signal merging module, connected to the plurality of detection areas, is used to merge the actual detection signals of at least two detection areas where the actual detection signal of at least one spectral channel is less than a threshold. The merging includes: accumulating the actual detection signals of each identical spectral channel in the at least two detection areas, or accumulating only the actual detection signals of the identical spectral channels in the at least two detection areas where the actual detection signal is less than a threshold, wherein the actual detection signal is optical signal energy.

8. A multi-zone multispectral detection device, characterized in that, include: Several detection areas, each detection area is provided with several spectral channels of different wavelengths, for outputting the actual detection of each spectral channel in each detection area; Memory, used to store computer programs; A processor, connected to the plurality of detection areas and the memory, wherein when the computer program is executed by the processor, it is capable of implementing the multi-area multispectral detection method as described in any one of claims 1 to 6.

9. An electronic device, characterized in that, It includes the multi-zone multispectral detection device as described in claim 7 or 8 above; or it can implement the multi-zone multispectral detection method as described in any one of claims 1 to 6.

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