245 results about "Real time imaging" patented technology

According to the spectrum-to-mass concentration imaging method and device based on physical mechanism deep learning provided by the invention, the actually measured spectrum and the reference spectrum of the pollution gas smoke plume are collected, the spectrum data set is constructed after differential processing, the meteorological data and the online mass concentration label are synchronously collected, and meanwhile, the spectrum-to-mass concentration imaging method and device based on physical mechanism deep learning are provided. A high-resolution gas absorption section is obtained and is convolved into a matrix; and constructing a deep learning model fusing a feature extraction module, an expanded least square module and a full connection module, taking the spectral data set, the meteorological data and the absorption cross section matrix as input, performing training in combination with labels to obtain an optimization model, and predicting the mass concentration of the target gas. According to the method, the problems of error accumulation, low calculation efficiency and poor interpretability caused by dependence on a complex physical model in a traditional method are solved, and high-precision, high-efficiency and interpretable real-time imaging of the mass concentration of the smoke plume of the pollution gas is realized.

The invention discloses a matrix transposition method of a DDR3 read-write controller based on an AXI4 bus. The matrix transposition method solves the problems that an existing transposition method is low in data access efficiency, serious in storage resource waste and poor in system portability. The method comprises the following steps: dividing an original echo matrix into a plurality of sub-matrix blocks, mapping and storing the sub-matrix blocks into a Bank of DDR3 to obtain a three-dimensional mapping result; reading data in each sub-matrix block in the three-dimensional mapping result by utilizing a DDR3 read control module, and writing the read data into an RAM (Random Access Memory) of an FPGA (Field Programmable Gate Array) to obtain a transposed matrix; writing the transposed matrix into the original Bank of the DDR3 by using a DDR3 write control module to obtain the DDR3 in which the data is written; according to the invention, low on-chip storage resource occupation independent of matrix scale is realized, and high-efficiency processing requirements of large-scale echo data in satellite-borne SAR real-time imaging processing are better met.

The invention relates to the technical field of bionic navigation orientation and positioning, in particular to a carrier course angle measuring method based on polarized light imaging in a non-Rayleigh atmosphere. Comprising the steps of real-time sky polarized light imaging, atmospheric polarization mode resolving based on Mueller matrix imaging, non-Rayleigh polarization information interference removal, polarization orientation resolving based on Rayleigh scattering, space projection conversion and sun position information resolving. Alignment information of the sun in a carrier coordinate system is obtained by utilizing a Rayleigh scattering model and actual sky polarization imaging, and then a carrier course angle is obtained according to the orientation of the sun in a local geographic coordinate system, so that an orientation function is realized; meanwhile, the error influence caused by image registration and time-sharing rotation measurement of the multi-view-field polarization detector and the interference of environmental factors on a single point are avoided, the method can adapt to sunny and cloudy weather, is also applicable to cloudy and other non-Rayleigh weather, and is wide in application range.

The invention discloses a multimode optical fiber anti-disturbance real-time imaging method based on a double-neural network architecture, which comprises the following steps: firstly, acquiring a speckle image of a target image subjected to multimode optical fiber scattering transmission under a multi-disturbance dynamic state, then extracting spatial domain and frequency domain information of the speckle image, and training through an SFNet classification network to obtain a disturbance dynamic state classification model; and training by using a U-Net imaging network to obtain a speckle imaging model. During testing, the multimode optical fiber disturbance state corresponding to the speckle image is judged by using the classification model, and then the speckle image is input into the speckle imaging model under the corresponding multimode optical fiber disturbance state for reconstruction. According to the method, accurate classification and high-quality reconstruction of the speckle image of the multimode optical fiber under the multi-disturbance condition are achieved, good real-time performance and anti-interference performance are achieved, and the method is suitable for dynamic optical fiber imaging in the complex environment.

The invention discloses a micro-positive pressure hydrogen environment in-situ stress-strain testing device and method. The device comprises a sealed reaction cavity which can be placed in a scanning electron microscope sample cabin; the loading device is arranged in the cavity and is used for fixing and applying a load; the atmosphere control system is communicated with the cavity and is used for introducing gas and maintaining a micro-positive pressure state; an electron transmission window arranged on the cavity, wherein an electronic transparent film packaged by the electron transmission window can maintain air tightness under micro-positive pressure and allows electron beams to penetrate through; and the heating module is arranged in the cavity. The method comprises the following steps: loading and sealing a sample, establishing a micro-positive pressure atmosphere, heating the sample, starting loading, and synchronously carrying out SEM real-time imaging and data recording. The problem that a traditional SEM in-situ device cannot work in a real micro-positive pressure hydrogen and high-temperature environment is solved, and synchronous visual in-situ observation of material microstructure evolution and macromechanical response under the gas-heat-force multi-physics field coupling condition is achieved.

The invention belongs to the technical field of induced polarization advanced detection. According to the TBM excavation-following induced polarization real-time advanced detection method and system, a TBM cutterhead and a TBM shield serve as power supply electrodes, and the detection efficiency and the TBM excavation efficiency are improved; acquiring first detection data when the TBM cutterhead clings to the tunnel face and the TBM cutterhead and the TBM shield supply power at the same time and second detection data when the TBM cutterhead leaves the tunnel face after retreating, the TBM cutterhead is not in contact with the surrounding rock and the TBM shield supply power independently, and taking a difference value between the first detection data and the second detection data as final detection data of the current detection round, and performing three-dimensional imaging processing on the final detection data of the plurality of detection rounds in any imaging period to obtain a continuous three-dimensional detection result in the imaging period. According to the TBM tunnel detection method, the difference of the detection data is made for denoising processing after tunneling of each round, real-time imaging is achieved in the imaging process, and the TBM tunnel detection effect is improved.

The invention relates to the technical field of optical imaging, and discloses an optical lens splicing imaging method and system, and the system comprises a calibration module, a preprocessing module, a registration module, a correction module, and a fusion module. Through the arrangement of the registration module, the correction module and the fusion module, the problem of registration errors caused by sparse feature points of a low-texture region can be solved through a mixed strategy of global mutual information guidance and local robust matching, the registration precision is effectively improved, the optical aberration of each sub-lens is compensated through a global model based on a Zernike polynomial, and the registration precision is improved. The image quality of the marginal area of the spliced image is effectively improved, a multi-resolution pyramid optimization mode is adopted, the calculation complexity of global registration is reduced, the real-time imaging requirement is met, meanwhile, splicing seams are effectively eliminated, and the overall smoothness of the image is remarkably improved.

The present invention relates to the field of PCB circuit board detection technology, and discloses a PCB circuit board defect detection method and system. The method comprises the following steps: an image acquisition module acquires multispectral imaging data to generate an original image dataset; a defect analysis server receives synchronized imaging data to construct a three-dimensional surface topology matrix; the original image dataset and real-time imaging data are combined to perform multi-scale decomposition of the three-dimensional surface topology matrix, extract texture features, locate defect areas, output spatial distribution features of defect types through a hierarchical recognition model, and update the original image dataset; and detection parameters are dynamically calibrated according to feature categories. The system includes an image acquisition module group, a data transmission module, a three-dimensional modeling module, a defect recognition module, and a parameter calibration module. This solution improves the accuracy, comprehensiveness, and efficiency of defect detection and is suitable for the detection needs of modern PCB production.

The invention discloses a satellite-borne SAR (Synthetic Aperture Radar) real-time imaging method based on FPGA (Field Programmable Gate Array) high-speed transposition, which comprises the following steps of: in FPGA data writing operation, carrying out row splitting on SAR echo data in a matrix form to obtain a plurality of small matrix blocks with consistent row and column sizes, and forming a recombination matrix; writing the small matrix blocks into a memory in sequence; performing skip reading operation on the recombination matrix, and repeating the operation until the reading operation of the SAR echo data is completed; imaging is carried out based on the CS imaging algorithm, real-time output is carried out, according to the method, the transposition operation read-write efficiency of a memory is high, and the imaging real-time performance is guaranteed.

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.

Disclosed are methods, systems, and a device for automated interpretation of cardiac magnetic resonance imaging. A method includes acquiring a sequence of radiographic images of a heart, including at least one of: a cine MRI, a late gadolinium enhancement, a T1 mapping, a T2 mapping, a perfusion imaging, a flow quantification, a dark blood imaging, a real-time imaging, a magnetic resonance spectroscopy, or a parametric mapping sequence. Further, the method processes the sequence of radiographic images using one or more machine learning models. Additionally, the method generates a diagnostic prediction using the machine learning models. The diagnostic prediction is a screening prediction of a cardiac anatomy, a diagnostic suggestion of a cardiovascular condition, a quantitative assessment of a cardiac function parameter, a structured radiographic report, a natural language summary, or a diagnostic rationale. A diagnostic prediction is output to an electronic system.

The invention relates to the technical field of nondestructive testing of power systems, in particular to a phased array ultrasonic testing method and system for internal defects of a wall bushing. Comprising the following steps that the outer surface of a metal layer of the wall bushing is cleaned and polished; measuring the outer diameter of the wall bushing and the thickness of a metal layer; a phased array ultrasonic probe is placed on the surface of the processed metal layer in a coupling mode, and a center array element of the phased array ultrasonic probe is activated to collect A scanning signals; setting a focusing depth and a scanning angle range according to the thickness of the metal layer; and activating all array elements of the phased array ultrasonic probe, and starting a gain compensation mode of the phased array ultrasonic flaw detector. According to the method, the multi-array-element electronic scanning and real-time imaging technology is utilized, a large-area area can be covered through single-time fan-shaped scanning, early-stage defects (such as micro air gaps and cracks) which do not cause temperature rise can be sensitively recognized, the detection efficiency and the detection capacity are remarkably improved, and the problems of infrared leak detection and low radiographic detection efficiency are effectively solved.

Disclosed are methods, systems, and a device for automated interpretation of cardiac magnetic resonance imaging. A method includes acquiring a sequence of radiographic images of a heart, including at least one of: a cine MRI, a late gadolinium enhancement, a T1 mapping, a T2 mapping, a perfusion imaging, a flow quantification, a dark blood imaging, a real-time imaging, a magnetic resonance spectroscopy, or a parametric mapping sequence. Further, the method processes the sequence of radiographic images using one or more machine learning models. Additionally, the method generates a diagnostic prediction using the machine learning models. The diagnostic prediction is a screening prediction of a cardiac anatomy, a diagnostic suggestion of a cardiovascular condition, a quantitative assessment of a cardiac function parameter, a structured radiographic report, a natural language summary, or a diagnostic rationale. A diagnostic prediction is output to an electronic system.

Systems and methods are provided for real-time multimodal deformable image registration for image-guided interventions. A pre-interventional three-dimensional (3D) magnetic resonance imaging (MRI) image and multiple 3D ultrasound (US) images capturing various respiratory states and poses are acquired for a patient. The MRI image is registered to each US image using a trained MR-US deformation model, producing deformed MRI images. During intervention, an interventional 3D US image is acquired and registered to a pre-interventional US image using a trained US-US deformation model, determining a warp field. This warp field is applied to the corresponding deformed MRI image, producing a registered 3D MRI image for visualizing annotated tissue features from the pre-interventional MRI on the live interventional US image. The disclosed approach leverages multimodal imaging and deep learning models to enhance visualization during interventions by combining superior soft tissue contrast of MRI with real-time US imaging capabilities.

The application discloses a kind of dual-frequency integrated ultrasonic diagnosis and treatment probe, including the zooming warehouse of one side opening, flexible substrate is set in zooming warehouse and has spherical arc surface, low-frequency focusing module and high-frequency imaging module are connected on flexible substrate, and with the electric connection of low-frequency focusing module and high-frequency imaging module intelligent identification system;Low-frequency focusing module is fixed in the inside of flexible substrate;Zooming warehouse center is slidably provided with focusing handle, and the end of focusing handle into zooming warehouse is connected with flexible substrate and high-frequency imaging module, and one end of focusing handle is suitable for moving in zooming warehouse along axis line.According to the detection information of high-frequency imaging module, the spherical surface curvature of flexible substrate and the relative distance between flexible substrate and tissue are adjusted by moving focusing handle, the focusing depth and focal region size of low-frequency focusing module can be adjusted, and real-time imaging can be carried out by cooperating with high-frequency imaging module, so that the ablation position can be adjusted in real time, and the lesion tissue can be accurately focused.

The embodiment of the invention provides a real-time laser speckle imaging method, device and system based on entropy guidance, and relates to the technical field of image processing. Performing contrast degree calculation on the laser speckle image of the target biological sample to obtain a first contrast degree image; performing down-sampling on the first contrast degree image according to n down-sampling rates to obtain n second contrast degree images; respectively extracting local entropies of regions in the first contrast degree image and the second contrast degree images; according to the extracted local entropy, determining regions with blood vessels in the first contrast degree image and the second contrast degree images; and performing noise reduction processing on the first contrast degree image and the second contrast degree images to obtain a plurality of noise reduction images, and fusing the noise reduction images to obtain a third contrast degree image. According to the invention, under the condition of a low sampling frame number, real-time imaging of the laser speckle image can be ensured, and meanwhile, the image quality similar to that under the condition of a high sampling frame number can be realized.

The invention relates to the technical field of cell culture, and discloses a stem cell differentiation degree identification method based on image features. The method comprises the following steps: continuously capturing multi-temporal image data in a stem cell culture process through a high-resolution microscopic imaging system, and generating an image and environment synchronous data set; processing the data set, extracting dynamic morphological features and texture change modes of the stem cells, and constructing a fusion feature set; outputting a differentiation process index based on the fusion feature set; a differentiation degree grade division rule is set, and a differentiation process index and differentiation grade mapping table is established; in a real-time application stage, acquiring real-time imaging data and environment readings, and inputting the real-time imaging data and the environment readings into an evaluation network to calculate real-time differentiation process indexes; querying the mapping table according to the real-time index to obtain a differentiation grade judgment result; comparing the judgment result with a preset target range, and if the judgment result falls into the target range, automatically executing differentiation state marking and culture parameter adjusting operation.

The invention provides a preoperative incision positioning device for spine minimally invasive surgery aiming at different fracture types, and belongs to the technical field of medical equipment. Comprising a mounting box, a notched gear ring is slidably connected into the mounting box, an adjusting mechanism used for adjusting the position of the notched gear ring is arranged in the mounting box, the two ends of the notched gear ring are fixedly connected with mounting bases respectively, and the lower end face of the mounting base on the upper side is fixedly connected with a detector; through the detector, the X-ray source and the positioning mechanism, real-time imaging of the spine of a patient is achieved, laser indication can be automatically conducted on an incision positioning point, medical staff can accurately position and mark the incision position, accurate positioning of the spine minimally invasive surgery incision is achieved, the positioning error is reduced, and the accuracy of the spine minimally invasive surgery incision is improved. The success rate and safety of the operation are improved, and the problems of poor positioning efficiency and precision in the prior art are solved.

Systems and methods for high-bandwidth, minimally invasive brain-computer interfaces (BCIs) are disclosed. The BCIs are configured for deployment and operation in conjunction with a comprehensive interventional electrophysiology procedural suite. Three primary methods of minimally invasive electrode array delivery are disclosed: (1) cortical surface delivery, (2) ventricular delivery, and (3) endovascular delivery. Additionally, systems and methods for interacting with such high-bandwidth electrode arrays are discussed, including real-time imaging, signal processing, and neural decoding. Systems and methods for architectures for accelerating the underlying computational processes (such as graphics processing units or tensor processing units) are also discussed. Multiple applications of BCIs are discussed, with emphasis on restoration, rehabilitation, and augmentation of neurologic function.

The invention relates to the technical field of soil improvement, and discloses a soil improvement effect real-time monitoring method and system and a storage medium. The method comprises the following steps: collecting multiple depth data samples in the vertical direction of soil, and constructing a layered soil characteristic data set; identifying the position of the high-heterogeneous section based on the data set; injecting a tracer agent at the position and imaging in real time to obtain a permeation path image sequence; predicting a diffusion velocity and a retardation point position by using a random forest model, dynamically adjusting injection parameters to eliminate retardation, and obtaining permeation path data; tracking and quantifying the action change of the modifier in each soil layer through time sequence analysis to obtain an action effect quantitative index; the index is compared with an initial data set, a hierarchical model is optimized, and a hierarchical monitoring framework is constructed; and integrating multiple depth data samples to verify the framework, and generating an evaluation report of the soil improvement effect. According to the invention, the accurate characterization of the vertical layering characteristic of the soil and the scientific and quantitative evaluation of the improvement effect are realized, and the use efficiency of the modifier is improved.

The invention relates to the technical field of ultrasonic imaging, and discloses a portable ultrasonic image real-time imaging device, which comprises a box body, the top of the box body is provided with a dismounting mechanism, the dismounting mechanism comprises a fixing seat, the fixing seat is arranged at the top of the box body, the upper side and the lower side of the interior of the fixing seat are fixedly connected with fixing rods, and the fixing rods are fixedly connected with the box body. Movable plates are slidably connected to the front side and the rear side of the outer wall of the fixing rod, clamping blocks are fixedly connected to one sides of the movable plates, an ultrasonic probe is arranged on the left side of the top of the box body, clamping grooves are formed in the right sides of the front wall and the rear wall of the ultrasonic probe, and the clamping blocks and the clamping grooves are clamped. The movable blocks are pushed to move through the push rods, the movable blocks can push the movable plates on the two sides to move through the connecting rods, the clamping blocks are driven to be separated from the clamping grooves, limitation on the ultrasonic probe is relieved, the ultrasonic probe can be replaced more conveniently, the probe with the proper power is used according to the disease depth, and the service time of the device can be greatly prolonged.

Disclosed in the present invention are a motion management method and system, and a related device, which relate to the technical field of radiotherapy. The system comprises: a real-time imaging module used for acquiring a body surface contour of a patient in real time and acquiring a respiratory curve of the patient according to the body surface contour, the body surface contour being used for auxiliary positioning of the patient; and a 4D acquisition module used for sending a time signal to a sliding gantry CT according to the respiratory curve of the patient to establish a respiratory phase synchronization timing sequence, wherein when a treatment couch is at a scanning position of the sliding gantry CT, according to a real-time respiratory signal of the patient, 4DCT images or breath-hold images of the patient in different respiratory phases are acquired using the sliding gantry CT. The 4DCT images or the breath-hold images are used for registration with a positioned 4DCT image, thereby overcoming the drawbacks that previously only tumor images at a certain respiratory phase are obtainable and the images are prone to motion artifacts, resulting in errors in registration. As a result, the registration accuracy of a tumor that is greatly affected by respiratory motion is improved, and the clinical efficiency is enhanced.

The invention relates to the technical field of defect detection, in particular to an outer wall ultrasonic automatic detection device, a detection method and an identification method. The detection device is used for detecting the surfacing layer of the hydrogenation reactor, comprises a wall-climbing moving vehicle, an electronic control system, a probe frame, an ultrasonic coupling system, a probe device, a manual remote controller, a notebook computer and a cable, is high in automation degree and has the characteristics of multi-probe integration and high coupling stability, and a coupling system is optimized. According to the detection method, a full-automatic process from positioning, starting and multi-modal detection to real-time imaging is realized, multi-dimensional and full-coverage scanning of a detection area is realized, and various defects are effectively detected. According to the automatic identification method, intelligent identification and rechecking of defects are achieved through multi-probe calibration, color coding, image fusion and confidence degree evaluation, calibration and identification innovation is carried out, defect classification and mode identification science can be carried out, and comprehensive judgment capacity and a rechecking mechanism are achieved.

1. Name of the product in this design: Mobile phone plug-in infrared thermal imager. 2. Purpose of this design: A mobile phone plug-in for observing real-time infrared imaging and measuring temperature. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

This application relates to the field of high-speed imaging technology, specifically to a high-speed imaging method, apparatus, and electronic device, which can solve the problem that the computation time of the existing DeSCI algorithm is too long and cannot meet the requirements of real-time imaging. The high-speed imaging method includes: determining initial information based on known information, wherein the known information includes a pre-set mask matrix and acquired compressed signals, the initial information being obtained based on the relationship between the mask matrix and the acquired compressed signals; inputting the initial information into an end-to-end neural network including a feature extraction module and a feature fusion module to obtain an inverse mapping for signal reconstruction, wherein the inverse mapping is learned by the end-to-end neural network under supervised training with a large amount of known information; and outputting reconstructed information based on the inverse mapping, the reconstructed information being obtained by the inverse mapping according to the initial information.

Embodiments of the present application provide a structured light camera parameter correction method, device, storage medium and program product. The method corrects the light source output intensity of the structured light camera based on the collected image when the brightness difference degree of the image collected by the structured light camera is greater than or equal to a brightness difference degree threshold, to compensate for the brightness of the underexposed area and / or suppress the brightness of the overexposed area; until the brightness difference degree of the image collected by the structured light camera is less than the brightness difference degree threshold, the corrected light source output intensity is determined as the final light source output intensity, which can supplement the effective signal intensity of the edge and both sides of the field of view, suppress the effective signal intensity of the center area of the field of view, make the brightness values in the full field of view range consistent, solve the problem of uneven brightness distribution of the field of view, and improve the imaging integrity while meeting the timeliness requirements of industrial real-time imaging.

This invention discloses a microRNA-responsive 1,2-dioxane-based chemiluminescent compound, its dual-probe system, kit, synthesis method, and applications. The compound's core is an o-acrylate-substituted phenoxyadamantane-1,2-dioxane, with the phenolic hydroxyl group protected by an azide benzyl group. The two-component probe system constructed based on this compound comprises an azide-modified first probe and a phosphine-modified second probe, each complementary to different segments of the target microRNA. Hybridization brings the two probes closer, triggering a Staudinger reaction to remove the protecting group and activate the chemiluminescent signal. This probe system requires no enzyme amplification or nucleic acid extraction, achieves a detection limit of 1.37 fM, and a signal-to-noise ratio as high as 157-fold. It can be successfully used for real-time imaging of endogenous microRNA-21 in live cells, showing broad application prospects in early tumor screening, auxiliary diagnosis, and prognostic assessment.

The application discloses a BP imaging Sinc interpolation optimization method and device based on FPGA and belongs to the technical field of radar signal processing. The method realizes seamless connection of data through double-BRAM ping-pong buffering. Fixed-point and floating-point mixed operation is adopted to optimize the slant range and index calculation module and the Sinc coefficient array calculation module, wherein fixed-point is used for general calculation, floating-point is used for square root and division, resource consumption is significantly reduced, and precision is improved. Efficient interpolation calculation pipeline processing is realized through a parallel fixed-point multiplication and addition array. While guaranteeing high-precision interpolation, the application greatly reduces LUT, register and DSP resource occupation of the FPGA, and significantly improves the calculation speed and imaging quality of BP real-time imaging.

The invention belongs to the field of synthetic aperture radio array imaging detection, and relates to a deep learning-based synthetic aperture radio array rapid imaging method, which comprises the following steps of: processing observation data based on optimization parameter combination and matrix mapping to generate a brightness temperature image training set with frequency domain relevance and high image quality; an imaging neural network model composed of a pre-imaging network and an image recovery network is constructed, and high-dimensional nonlinear mapping among the visibility function, the projection baseline and the brightness temperature image is realized; through preprocessing, data preprocessing and real-time imaging operation, rapid and high-quality imaging of observation data is realized. According to the method, a sun brightness temperature image data set consistent with an actual observation scene is constructed based on the observation data of a circular array solar radio imaging telescope of meridian engineering; an imaging neural network model adapted to different sun brightness temperature characteristics and projection baselines is designed; the imaging speed of the synthetic aperture radio telescope can be obviously improved while high-quality imaging is realized.

The invention provides an image bright field correction method and device for a laser plasma accelerator, electronic equipment and a storage medium, and relates to the technical field of X-ray imaging. The method comprises the following steps: acquiring dark fields and initial X-ray beam spot images of an X-ray bright field calibration detector and an X-ray imaging detector to obtain coordinates of an initial X-ray beam spot center; under the condition that the imaging sample is moved in, a real-time unprocessed X-ray beam spot image obtained by the X-ray bright field calibration detector and a real-time unprocessed projection image obtained by the X-ray imaging detector are obtained, so that a real-time beam spot image and a real-time imaging image are obtained, and coordinates of a real-time X-ray beam spot center are obtained; according to the coordinate difference between the real-time X-ray beam spot center and the initial X-ray beam spot center, the X-ray beam spot center is obtained, and a final real-time projection image is obtained. According to the invention, the accuracy of bright field correction is improved by measuring the X-ray beam spot in real time and combining geometric space mapping and coordinate transformation.