471 results about "Photon counting" patented technology

The invention discloses an ultra-weak light detection system and method based on an SPAD array and time correlation photon counting, and belongs to the technical field of ultra-weak light detection. A multi-channel SPAD array detection unit; a time-to-digital conversion module; the photon arrival time analysis unit comprises a TCSPC model, a noise modeling and suppression module and a self-adaptive convolution filter; a data compression and fitting module; a spatial denoising filter; an output unit; and a master control processing unit. Based on a multi-channel SPAD array detection unit, a time-to-digital conversion module, a TCSPC model, a noise modeling and suppression module, a self-adaptive convolution filter and the like, high-sensitivity imaging and quantitative detection of materials (such as black silicon) with extremely low reflectivity are realized. The system has the advantages of being good in real-time performance, high in time resolution, high in signal-to-noise ratio, high in on-chip processing capacity, high in integration and the like, and meanwhile the bottleneck of a traditional TCSPC method for large-scale photon data processing is solved.

The invention belongs to the technical field of ocean remote sensing, and discloses an ICESat-2 shallow sea sounding signal extraction method and system, and the method comprises the steps: carrying out the data preprocessing based on the obtained ICESat-2 sounding data; constructing an elliptical neighborhood direction adaptive model based on submarine topographic features, and determining the orientation of an elliptical neighborhood; constructing an elliptical neighborhood size adaptive model considering the depth change, and determining the size of an elliptical neighborhood; refraction correction and tide correction are carried out, and water depth correction of the seabed photon points is completed. Through the density clustering algorithm, accurate detection of the underwater topography of the shallow sea water area is realized, and a new analysis thought is provided for shallow sea water depth detection. The submarine photon point extraction problem caused by non-uniform point cloud density and weak connectivity of the photon counting laser radar ICESat-2 is solved, the sounding precision is remarkably improved, and the long-term requirements of the marine surveying and mapping field on the high-precision and low-cost sounding technology are met.

The invention discloses a fluorescence lifetime imaging phase analysis method based on deep learning, a terminal and a readable storage medium, and the method comprises the steps: obtaining counting data of time-dependent single photon counting of each pixel in a measured sample image, and measuring a response function of a used instrument, inputting the convolution attenuation data and the response function into a deconvolution neural network; the deconvolution neural network outputs a deconvolution signal of each pixel according to the response function and the counting data of each pixel; and performing phase transformation according to the deconvolution signal of each pixel, and obtaining the fluorescence lifetime of each pixel. According to the method, the time migration caused by the instrument response is regarded as the convolution caused by the instrument response function, and then the neural network is adopted to carry out deconvolution on the counting data, so that the time migration caused by the response function is calibrated and corrected, a traditional phase calibration process is not needed, and accurate analysis of the service life is realized.

The invention relates to a single-photon laser radar three-dimensional imaging system and method. An optical fiber laser is used for actively illuminating an imaging target; the single-photon APD array detector is used for receiving a laser echo signal reflected by a target; the near-infrared detector is used for realizing aiming; the upper computer is used for parameter setting and data receiving of the optical fiber laser, the single-photon APD array detector and the near-infrared detector, receiving active laser three-dimensional imaging data in a three-dimensional imaging state and realizing real-time display of a depth image and an intensity image; and the information processing board card is used for realizing synchronous triggering of the fiber laser and the single-photon APD array detector and data communication between the upper computer and the fiber laser and the single-photon APD array detector, and realizing preprocessing and three-dimensional reconstruction of APD data based on a time correlation single-photon counting method and in combination with space-time correlation characteristics of laser echo signals. According to the invention, the problem of insufficient detection capability of a single-photon laser three-dimensional imaging method under all-weather and low-signal-to-noise-ratio conditions is solved.

The invention relates to a solid-state laser radar ranging method and system based on neural network processing, and belongs to the technical field of laser radar ranging, and the method comprises the steps: obtaining a laser echo signal when laser radar detection is carried out on a surrounding target object, and obtaining a photon counting histogram based on the laser echo signal; preprocessing the photon counting histogram, and inputting the preprocessed photon counting histogram into a pre-trained neural network model to obtain a peak confidence map containing an echo peak value and a peak time offset map; on the basis of the peak confidence map and the peak time offset map, obtaining one or more echo peak values of which the confidence exceeds a predetermined threshold and time position information of the one or more echo peak values of which the confidence exceeds the predetermined threshold; and based on the time position information, the distance information with one or more target objects is determined, so that the time position information measurement accuracy of one or more echo peak values is improved, and the laser radar ranging accuracy is improved.

The invention discloses a high-speed imaging method, system and device based on an SPAD array and a time counting circuit. The method comprises the following steps: acquiring original data of a photon event to obtain an original photon counting matrix of each frame; performing statistical modeling based on the original photon counting matrix to obtain a dynamic threshold matrix; performing threshold filtering based on the dynamic threshold matrix in combination with the original photon counting matrix to obtain a sparse matrix; and performing accumulation and image reconstruction based on the multi-frame original photon counting matrix to output a final image. The high time resolution of the SPAD array and the TCSPC is combined with the BNQSA algorithm, the noise problem of high frame rate imaging under extremely low illumination is solved, the system has the characteristics of high sensitivity, real-time performance and low power consumption, and a breakthrough solution is provided for a weak light scene.

Systems and methods for performing one or more medical imaging analysis tasks on PCCT (photon-counting computed tomography) images are provided. Image acquisition parameters of a PCCT image acquisition device are determined for acquiring PCCT images. One or more PCCT images of an anatomical object of a patient acquired using the PCCT image acquisition device configured with the image acquisition parameters are received. One or more medical imaging analysis tasks analyzing the anatomical object are performed based on the one or more PCCT images using one or more machine learning based models. Results of the one or more medical imaging analysis tasks are output.

The invention discloses a photon counting CT image noise reduction method based on multi-channel 3D U-net, relates to the technical field of medical image processing, and aims to solve the problems of insufficient spatial information utilization of a traditional 2D CNN, complex calculation of a 3DCNN and poor noise reduction effect of a traditional method. According to the method, high-energy, low-energy and all-energy images obtained by photon counting CT are used as three-dimensional multi-channel input, and a matrix containing space and energy spectrum dimensions is formed after preprocessing. Multi-scale three-dimensional features are extracted through a 3D U-net encoder, deep semantic information is aggregated through a bottleneck layer, a decoder carries out deconvolution up-sampling and is fused with an encoder feature map through jump connection, and meanwhile, an attention module is embedded in the jump connection to generate an attention mask so as to strengthen key area features; a mixed loss function training network including mean square error loss and structural similarity loss is adopted, and pixel-level precision and structural retention are balanced.

The invention provides a seawater chlorophyll a concentration three-dimensional remote sensing detection method, medium, equipment and product, and relates to the technical field of ocean remote sensing. The method comprises the following steps: acquiring satellite remote sensing data and photon counting laser radar data of a to-be-detected area; obtaining a seawater chlorophyll a concentration profile based on the diffusion attenuation coefficient; the method comprises the following steps: constructing an improved VGGNet model which comprises a multi-branch VGGNet, replacing standard convolution in the VGGNet with depth separable convolution, and introducing an SE attention mechanism into a backbone network; the time and position variables, the satellite remote sensing data, the photon density, the backscattering coefficient, the diffusion attenuation coefficient and the water depth serve as input variables of the model, the seawater chlorophyll a concentration profile serves as a target variable, and the model is trained; and inputting new satellite remote sensing data into the trained model to generate three-dimensional distribution prediction of the seawater chlorophyll a concentration. The method can better extract the features in the data, improves the prediction precision of the model, and is suitable for a complex water body environment.

The invention relates to a photon counting imaging detector, in particular to a photon counting imaging detector with multiband composite detection capability, and solves the technical problem that an existing position-sensitive anode detector cannot detect multiple bands at the same time. The photon counting imaging detector with the multiband composite detection capability comprises a vacuum packaging tube body array, and a position-sensitive anode assembly, a detector frame and a detector end cover which are sequentially connected from bottom to top, the receiving ends of the vacuum packaging tube bodies are upwards arranged in the mounting block, and the N * M receiving ends of the vacuum packaging tube bodies are respectively provided with the same or different photoelectric cathodes for receiving target optical signals of different wavebands and converting the target optical signals into photoelectrons; the output ends of the N * M vacuum packaging tube bodies are respectively provided with a high-resistance collecting layer for receiving the photoelectrons and converting the photoelectrons into electronic cloud cluster signals for outputting; and the position-sensitive anode assembly is used for sensing an electron cloud cluster signal and transmitting the electron cloud cluster signal to an external readout electronics system for processing.

The invention discloses a side slope displacement monitoring method and device based on quantum single photons and a medium, and belongs to the technical field of displacement monitoring. Rectangular light pulses are emitted periodically, echo detection is completed by using a single photon detector, a photon counting time sequence is constructed, wavelet denoising and reconstruction processing is performed on the photon counting time sequence, main peak position offset, energy change and form distortion are extracted to match multiple types of feature vectors, and feature fusion and resolving are performed through a multi-source feature fusion BP neural network. And finally outputting a high-precision slope displacement result. According to the method, the quantum single-photon detection technology is combined with the wavelet denoising and neural network fusion algorithm, noise interference is effectively suppressed, the displacement feature extraction precision is improved, and the method is suitable for high-precision and long-distance slope micro-deformation real-time monitoring.

According to the single-photon laser multispectral polarization detection method and system under underwater turbulence disturbance provided by the invention, pulse laser is emitted to a target after being scanned, and weak echoes of the pulse laser are received by a double-photon detector and a single-photon detector after being subjected to spectral filtering and spatial polarization beam splitting. A time correlation single photon counting technology is adopted, time, polarization and wavelength information of each photon is recorded synchronously, and a multi-dimensional data set is generated in combination with a scanning angle. After turbulence noise is suppressed through preprocessing, target distance information is extracted to generate a three-dimensional point cloud, and the polarization degree and the depolarization ratio of each pixel point are calculated; and finally, geometric, polarization and spectral data are fused, a high-precision three-dimensional terrain and polarization image is generated, and accurate target identification in a complex underwater environment is realized. According to the invention, a set of multi-dimensional information sensing system capable of carrying out long-distance, high-resolution and high-precision classification and identification on a target in a complex underwater environment with strong attenuation, strong noise and strong turbulence disturbance is constructed.

The invention discloses a photon counting laser radar non-vision target reconstruction system and method, and the method comprises the steps: enabling a photon counting laser radar to be aligned with an intermediate surface, and controlling the photon counting laser radar to detect a relay surface and a target; counting the received photon signals to obtain a photon histogram of a first echo signal and a target signal of a relay surface, and improving the time resolution by adopting a hybrid regularized Richardson-Lucy deconvolution algorithm; carrying out peak value extraction by utilizing the echo signal of the relay surface, and calculating relative coordinates of sampling points on the non-flat relay surface in combination with a laser emission angle; analyzing the spectral characteristics of the photon histogram of the target echo signal, adaptively obtaining an effective frequency range for reconstruction, and giving weight distribution; a target signal is processed in combination with a frequency-selecting window, and then a non-vision-field target reconstruction algorithm of diffraction interpolation is utilized to realize reconstruction of a hidden target. The method has universality for non-vision field target reconstruction of various relay surface shapes, sparse modes and sparse rates, and can realize complete and clear reconstruction of hidden targets.

The invention relates to the technical field of multispectral imaging, in particular to a multispectral photon counting single-pixel imaging device and method, the imaging device comprises a detection assembly and a processing assembly, and the detection assembly comprises a laser source loading optical pulses at a certain frequency; the spatial light modulator is used for undersampling according to the loaded negative W-based pattern to obtain a light signal of the to-be-detected object; the time domain disperser is used for dividing each optical signal into light splitting signals belonging to m spectral bands according to wavelength mapping; the photoelectric detector linear array comprises m detection elements arranged in a linear array, and the m detection elements are used for respectively detecting light intensity signals of the light splitting signals in the corresponding spectral bands to obtain m groups of light intensity signals; the processing assembly collects light intensity signals according to spectral bands and reconstructs spectral images according to the light intensity signals of each spectral band, and m spectral images are obtained. According to the invention, the imaging time is shortened, the imaging cost is reduced, and the multispectral imaging effect in a photon sparse application scene is realized.

The invention discloses a photon counting CT image noise reduction method based on multi-channel WGAN, and relates to the technical field of medical image processing, and the method comprises the steps: taking high-energy, low-energy and all-round CT images as generator input, extracting multi-scale features through independent convolution branch, carrying out the global average pooling of each channel feature map, and calculating the attention weight between channels to carry out the weighted fusion; a WGAN structure is adopted, and a discriminator is constrained through a Wasserstein distance and a gradient penalty term so as to improve the training stability; meanwhile, the mean square error, the structural similarity index and the perception loss are integrated, and the numerical precision and the visual effect of the noise reduction image are balanced; and by alternately optimizing the generator and the discriminator, performing multi-channel feature processing and up-sampling on the noisy low-dose CT image after training is completed, and outputting a high-quality noise-reduced image.

The invention discloses a gas leakage detection imaging device and method based on a single photon detection technology, and belongs to the technical field of gas detection and imaging. Aiming at the limitation problems of the existing gas leakage detection technology in the aspects of sensitivity, response speed, space imaging capability and anti-interference capability, nanosecond modulation control and synchronous photon counting are realized by utilizing an FPGA (Field Programmable Gate Array) through a visual gas detection imaging device combining an SPAD (Single Program Amplifier) array detector and a WMS modulation-demodulation mechanism; and the second harmonic of the absorption signal is further extracted by combining digital phase-locked amplification, so that gas leakage three-dimensional imaging with high spatial resolution, ppb-level sensitivity, strong background suppression capability and high time response is realized. The system has the advantages of high detection sensitivity, real-time imaging capability with high spatial resolution, high background light interference resistance and high signal-to-noise ratio, the demodulation method is novel, and the modular design has multi-gas compatibility and system expansibility.

The invention discloses a zero-dead-time single photon counting system based on time division multiplexing, and belongs to the technical field of laser radars. The system comprises an optical multiplexer, N detection channels, N delay modules, a shift register and a counting circuit, according to a time division multiplexing mechanism, a time axis is divided into a plurality of independent time slots, and in different time slots, incident signal light is input into different detection channels according to a preset sequence, so that zero-dead-time single photon counting is realized. According to the invention, the dead time problem of a traditional single-photon detector is solved, the photon counting pulse and the dark current pulse are effectively distinguished through a multi-parameter pulse discrimination technology, the signal-to-noise ratio of the system is significantly improved, and a reliable solution is provided for application scenes requiring high-sensitivity detection, such as laser radar and quantum communication.

The invention provides a field-free on-orbit calibration method for a spaceborne photon counting laser radar, and relates to the technical field of spaceborne photon counting laser radars. According to the method, combined registration is carried out on a high-precision airborne laser point cloud and a high-resolution optical remote sensing image, and the plane positioning precision of the airborne laser point cloud is firstly improved by combining the plane positioning advantage of the high-resolution optical remote sensing image and the elevation precision advantage of the airborne laser point cloud; and the satellite-borne photon counting point cloud is matched with the corrected airborne laser point cloud, and the pointing error and the system ranging error of the satellite-borne photon counting laser radar are corrected, so that the field-free in-orbit geometric calibration of the satellite-borne photon counting laser radar is realized. According to the method, dependence on a ground calibration field laser detector is avoided, the method has the advantages of being high in adaptability, high in calibration precision and wide in application range, and a new technical means is provided for improving field-free on-orbit calibration of a spaceborne photon counting laser radar height measurement system.

The invention discloses an active and passive fusion water depth inversion method based on adaptive spectrum weighting, and the method comprises the steps: carrying out the atmospheric correction of a multispectral satellite image, extracting a target region, and removing a land region and a deepwater region; the method comprises the following steps: acquiring a seawater point cloud of a satellite-borne photon counting laser radar in a target area, extracting sea surface and seabed information, and performing refractive index correction and tide correction to obtain a reference water depth; matching each pixel in the multispectral satellite image with a reference water depth, and dividing the multispectral satellite image into a reference pixel and a to-be-measured pixel; according to the spectral value of the multispectral satellite image, the Euclidean distance between each to-be-measured pixel and all reference pixels is calculated, and the reciprocal of the distance is used as the weight of each reference pixel; and introducing a weight-to-weighted least square method, and fitting a relationship from the spectral value to the water depth for each pixel to be measured to realize water depth inversion of the pixels to be measured. The method can effectively improve the active and passive fusion water depth inversion precision when the water depth distribution is uneven and the shallow sea area environment is complex.

The invention provides a photometric device, a sample analyzer and a sample detection method. The sample analyzer comprises a loading device, a reaction device; a detection device; the controller obtains the photon counting result of each detection assembly and obtains a target counting result according to the photon counting results of the at least two detection assemblies, the linear ranges of the at least two detection assemblies are at least partially not overlapped, the photoelectric detectors of the at least two detection assemblies receive optical signals emitted by the reaction liquid in the same sample container, and the target counting result is obtained according to the optical signals. The photon counting result obtained by final detection can be prevented from being influenced by the pulse accumulation effect, so that the upper limit of the linear photometric range of the chemical reaction is improved, and the detection accuracy and the detection efficiency of a relatively strong light section of the chemical reaction are improved.

A fluorescence lifetime detection system and a detection method. The fluorescence lifetime detection system includes: a labeling unit for providing quantum dots and for labeling a detection object with the quantum dots; a light emitting unit for providing excitation light, the excitation light being projected onto the detection object labeled with the quantum dots, and the quantum dots being capable of generating fluorescence; a photodetector for detecting the fluorescence generated by the quantum dots and collecting fluorescence signals; and a time-correlated single photon counting unit for obtaining time-based fluorescence lifetime data based on the fluorescence signals. The quantum dots can exhibit different fluorescence lifetimes according to the different microenvironments of the detection object itself. Thus, by detecting the fluorescence generated by the quantum dots, the microenvironment of the detection object can be detected according to the fluorescence lifetime of the quantum dots. Moreover, compared with the autofluorescence of the detection object, the fluorescence lifetime of the fluorescence generated by the quantum dots is longer, and the fluorescence signal obtained by detecting the fluorescence generated by the quantum dots is stronger, which can reduce the detection difficulty and improve the detection accuracy.

The invention relates to a point cloud denoising method of a photon counting laser radar and an intelligent denoising system, and belongs to the technical field of photon laser radar data processing. The technical problems that the performance of a fixed parameter denoising method is seriously unbalanced under different ground feature and complexity scenes, and high denoising rate and high signal fidelity cannot be considered at the same time are solved. Synchronously acquiring an optical image and an original photon point cloud of the target area; identifying the dominant ground feature type of the laser spot area through real-time semantic segmentation; calculating scene complexity based on the point cloud data and determining the grade of the scene complexity; querying a preset two-dimensional parameter mapping table according to the combination of the surface feature type and the scene complexity level, and dynamically obtaining an optimal denoising parameter set; and finally, the parameter set is utilized to drive adaptive denoising processing, and signal points and noise points are distinguished by calculating the local density and direction consistency of the points and constructing a two-dimensional discrimination space. The method is mainly used for real-time processing platforms such as unmanned aerial vehicles, and the point cloud denoising precision, the signal retention rate and the topographic feature fidelity are remarkably improved.

A method of motion correction image reconstruction for photon-counting CT images includes scanning a subject via a photon-counting CT scanner device to obtain measured projection data; performing, via motion correction circuitry of the motion correction system, a LLE motion correction algorithm on the measured projection data to obtain motion correction data; generating, via reconstruction circuitry of the motion correction system, reconstructed image data from the motion correction data; and outputting corrected image data based, at least in part, on the reconstructed image data. A binary bad pixel mask is applied to exclude contributions from the bad pixels to the measured projection data. An unreliable volume mask is applied to exclude contributions from X-ray beams that passed through unreliable portions of the reconstructed image data. A virtual static object removal algorithm is performed to remove a static object from the measured projection data.

The invention discloses a portable thermoluminescence dosage device based on photon counting, and relates to the technical field of nuclear radiation detection equipment, the portable thermoluminescence dosage device comprises a shell, a rack, a heating module, a photon counting module and a movement module, and accurate measurement is realized through cooperation of multiple modules. In the motion module, a cam shaft, a rotating handle and a rolling bearing are matched to drive a heating cavity to drive a heating plate to move flexibly, and a guide hole of a heating supporting table guarantees moving stability. The dosage piece positioning plate accurately positions the dosage piece, the heating plate stably heats, and the reset spring buffers and assists the heating cavity in resetting, so that the device is ensured to run circularly. The filter group is accurately mounted and is matched with the sealing ring to isolate external interference, so that the detection accuracy of the photon sensor is improved, and the measurement precision is guaranteed. The device shell is provided with the display screen and the charging interface, data can be displayed in real time, charging is convenient, portability and practicability are enhanced, and the device is suitable for portable thermoluminescence dosage measurement in multiple scenes.

The invention relates to a respiration monitoring sensor, device and method based on an optical fiber micro lens. The respiration monitoring sensor comprises a multimode optical fiber and a long-afterglow fluorescent flexible film, a fixed distance is directly kept between the top end of the multimode optical fiber and the long-afterglow fluorescent flexible film, the top end of the multimode optical fiber is a fluorescent signal acquisition end, and the tail end of the multimode optical fiber is a fluorescent signal output end; the long-afterglow fluorescent flexible film can continuously emit fluorescence after being excited by ultraviolet high-energy radiation; the breathing monitoring device further comprises a breathing mask, a fluorescence signal acquisition module and a PC end with built-in photon counting software. The sensor is fixed in the breathing mask, and exhaled gas can directly impact the long afterglow fluorescent flexible film; the tail end of the multimode optical fiber is led out of the breathing mask and is connected to a fluorescence signal input end of the fluorescence signal acquisition module; the fluorescence signal acquisition module is used for receiving optical signals and realizing photon counting; and the PC end realizes real-time reconstruction and display of respiration waveforms through a photon counting software platform.

The utility model relates to the technical field of extra-high voltage direct current transmission equipment, in particular to a GIS basin-type insulator particle motion device based on photon counting measurement, which comprises a power supply unit, a partial discharge-free transformer, a measuring unit, a recording unit, a counting unit and a data acquisition control unit, the power supply unit is used for providing excitation voltage of an initial DC / AC excitation volt level, and is connected with the non-partial-discharge transformer to amplify the excitation voltage and then is connected with the measurement unit. The measuring unit is used for measuring a GIS basin-type insulator sample to be measured; the recording unit is used for recording the movement process of the to-be-tested GIS basin-type insulator sample particles in a time period from a static state to a movement starting state; the device is simple in structure and convenient to use, is not affected by electromagnetic noise and vibration noise during traditional partial discharge measurement in use, is higher in particle detection sensitivity compared with a traditional partial discharge detection device, and can realize online detection of GIS basin-type insulator particle motion.

The invention provides an unsupervised low-dose photon counting CT (Computed Tomography) reconstruction method and an unsupervised low-dose photon counting CT reconstruction device based on optimal transmission. According to the method, a low-dose photon counting CT reconstruction problem is modeled as a Cantrovitch problem under a distribution consistency constraint, and the method comprises the following steps: constructing and training an optimal transmission-based unsupervised projection recovery network and constructing and training an optimal transmission-based unsupervised image noise reduction network; performing detail recovery on the photon counting CT low-dose projection by using the trained unsupervised projection recovery network to generate a denoised projection; reconstructing the denoised projection by using an image reconstruction algorithm to generate an intermediate image; and performing noise reduction on the intermediate image by using the trained unsupervised image noise reduction network to obtain a final de-noised image. According to the method, the problem that a high-quality pairing data set is difficult to obtain and a photon counting CT low-dose image is difficult to reconstruct can be solved.

The invention relates to the technical field of security and protection monitoring, in particular to a barrier gate security and protection monitoring system based on quantum laser radar and AI vision. The method comprises the following steps: a quantum laser radar sensing unit performs three-dimensional distance measurement and imaging on vehicles in a barrier gate area by using a quantum laser radar, outputs initial target point cloud data, and performs space-time calibration on an initial point cloud data set in combination with quantum correlation characteristics and a scanning mechanism motion model to generate an anti-jitter point cloud data set; the AI visual perception unit collects a barrier scene image, identifies a vehicle bounding box by using a YOLOv8 model, and extracts a motion track of a vehicle in combination with a DeepSORT tracking algorithm; and the multi-modal data fusion unit fuses the target point cloud data subjected to space-time calibration with the recognition result based on a cross-modal attention mechanism. According to the method, the laser radar based on the quantum entanglement light source is adopted, and the quantum correlation noise base is effectively extracted through the two-photon counting matrix and quantum time / space correlation analysis.

A photon counting device includes: a plurality of pixels each including a photoelectric conversion element and an amplifier amplifying charge to which input light is converted by the photoelectric conversion element and converting the amplified charge to a voltage; an A / D converter converting a voltage output from the amplifier of each of the plurality of pixels to a digital value; a first derivation unit configured to derive a provisional value of photon number in each of the plurality of pixels based on the digital value; and a second derivation unit configured to derive a confirmed value of photon number in a target pixel based on a first probability associated with a photon number distribution and a second probability associated with reading noise.

The invention relates to the technical field of micro-plastic detection, and discloses a quick micro-plastic detection method based on image recognition, which comprises the following steps: acquiring three-dimensional time domain fluorescence lifetime data under multi-wavelength excitation by tuning a pulse laser source and a time-dependent single photon counting (TCSPC) technology; then, dynamic harmonic Fourier transform is adopted to process the fluorescence attenuation signal, the harmonic order is adjusted according to the signal-to-noise ratio, and the frequency domain characteristics of the data are optimized; then, mapping a fluorescence attenuation signal to a quantum state space, extracting an intrinsic parameter of fluorescence lifetime through a variable component sub-algorithm, and further combining a high-order tensor decomposition model and a quantum optimization algorithm to optimize a tensor factor combination; and finally, reconstructing a fluorescence lifetime intrinsic parameter based on the combination of the matrix product state and the optimal tensor factor, extracting a feature vector, and applying the feature vector to classification and detection of micro-plastic types. According to the invention, through combination of quantum calculation and a classical algorithm, the precision and efficiency of micro-plastic type identification are improved.