29 results about "Dynamic imaging" patented technology

The application provides a modeling method for a center track of a point target trail image of a camera. The method first integrates three-axis angular velocities of the camera into a total angular velocity vector; constructs a cone with a unit vector of the total angular velocity as a main axis, and a point target incident light ray sweeps around the main axis to form a conical surface; establishes a conic surface equation of the conical surface; establishes an image array plane equation in a same reference coordinate system as that of the angular velocity unit vector; and obtains an intersection line equation of the conic surface and the image array plane, which is a center track of the point target trail image of the point target. According to different distribution conditions of a point target line-of-sight direction and an angular velocity vector direction relative to the camera, possible dynamic trail tracks are listed as four kinds of geometric descriptions, i.e., a circular arc, a trail circular arc, a parabola and a hyperbola. The application correctly reveals a geometric mechanism of the trail track, the model is complete in an analytical form, and theoretically solves an accurate modeling problem of the point target trail image track under a dynamic imaging working condition.

This invention relates to the field of high dynamic range imaging technology and discloses a deep learning-based high dynamic range imaging method. The method includes acquiring original images with different exposure types; extracting features from the original images; using a cross-frame entanglement mechanism to perform quantum motion compensation on abnormal exposure feature maps based on normal exposure feature maps, resulting in compensated abnormal exposure feature maps; fusing features between the normal exposure feature maps and the compensated abnormal exposure feature maps using a multi-scale feature pyramid and adaptive spatial attention, resulting in fused features; and reconstructing the image using an attention-guided residual reconstruction model to obtain a high dynamic range image. This invention solves the motion offset problem between multi-exposure images through quantum motion compensation, eliminating dynamic blur; achieves detail enhancement and color correction through a multi-scale feature pyramid and spatial attention; and reduces computational complexity and improves reconstruction efficiency through a lightweight reconstruction model.

This invention provides a method, apparatus, and computer device for measuring three-dimensional snow mass flux. The method includes: performing three-dimensional dynamic imaging of snow particles passing through the orthogonal dual-field-of-view measurement area using an orthogonal dual-field-of-view telecentric optical imaging module, and acquiring the morphological parameters, spatial position, and three-dimensional velocity vector of individual snow particles; measuring the mass of snow particles falling into the snow particle mass measurement area using a visible light thermal infrared multi-angle imaging module, and retrieving the mass and density of individual snow particles; performing spatiotemporal alignment and fusion processing on the data acquired by the orthogonal dual-field-of-view telecentric optical imaging module and the visible light thermal infrared multi-angle imaging module using a synchronous control and data fusion processing module to obtain comprehensive parameters of the snow particles; and calculating the three-dimensional snow mass flux of the corresponding area based on the comprehensive parameters. This method can directly and accurately acquire the mass and density of individual snow particles and significantly improve the accuracy of microphysical parameter measurement.

The application provides a cerebral apoplexy postoperative sign monitoring system, which is fused with a nerve motor function evaluation wristband and a head-mounted brain electrical impedance dynamic imaging device, and breaks through the blind area of postoperative monitoring. The wristband device collects upper limb electromyographic signals and joint motion mechanics parameters through a microneedle electrode array and a distributed piezoresistive sensor, drives a neural network to output a standardized motor score based on time-frequency domain features containing electromyography, joint angle, trajectory smoothness and grip force change rate, and is related to a clinical Fugl-Meyer scale; the imaging device adopts a multi-ring electrode array and an improved D-bar algorithm to reconstruct a brain electrical conductivity distribution map, constructs a multi-level decision tree early warning model by extracting impedance change rate Delta Z, spatial gradient entropy SGE and hemisphere asymmetry Asym, and realizes brain edema detection. Through multi-modal data fusion and minute-level response, the system solves the fragmentation problem of postoperative monitoring and provides precise decision support for cerebral apoplexy rehabilitation.

The application provides a star sensor full-link imaging modeling method and device in a high-speed aerodynamic environment. The method comprises the following steps: acquiring starlight emitted by all far-field stars in an observation scene by using a star sensor camera, and obtaining a first light direction of an incident star and a first radiant intensity of the incident star by using the starlight; performing atmospheric transmission modeling processing on the first radiant intensity of the incident star based on an atmospheric radiation transmission calculation model to obtain a second radiant intensity of the incident star; performing aerodynamic optical transmission modeling processing on the first light direction of the incident star and the second radiant intensity of the incident star respectively, and correspondingly obtaining a second light direction of the incident star and a third radiant intensity of the incident star; and performing star sensor transmission modeling processing based on an atmospheric turbulence dynamic imaging blur model, the second light direction of the incident star and the third radiant intensity of the incident star to obtain a gray-scale imaging result. Therefore, the influence of aerodynamic optical effects on the performance of the star sensor can be more accurately evaluated.

The application provides a radar imaging method and device based on a triangular wave, obtains original echo data of completely symmetrical up-chirp and down-chirp in a triangular wave period, and respectively extracts up-wave data sequence and down-wave data sequence; respectively performs dynamic imaging processing on the up-wave data sequence and the down-wave data sequence, and obtains corresponding up-wave images and down-wave images; establishes a phase relationship according to the up-wave images and the down-wave images, restores TDMA ambiguity, and obtains a real target speed; and performs phase alignment on the up-wave images and the down-wave images based on the real target speed, and obtains a final target image. The maximum non-ambiguous speed of a single channel due to polling is recovered first, and then the up-wave and down-wave phase relationship of the triangular wave is used to further expand the speed range; meanwhile, the ambiguity is resolved according to the fixed phase relationship between the up-wave and the down-wave, and the single chirp is no longer excessively dependent on being designed to be as short as possible, and is more suitable for use of an engineering system under constraints of ranging resolution, signal-to-noise ratio, sampling rate and hardware resources.

The present application relates to a kind of TBM tunneling advance geological detection system and method based on optical fiber vibration and temperature sensing, including advance directional borehole, optical fiber sensing and acquisition unit are arranged in advance directional borehole, optical fiber sensing and acquisition unit includes DAS optical fiber and temperature measuring optical fiber, DAS optical fiber and temperature measuring optical fiber are connected with signal demodulator, DAS optical fiber and temperature measuring optical fiber are consolidated with the hole wall of advance directional borehole by coupling material layer, DAS optical fiber and temperature measuring optical fiber are set close to the position of borehole bottom;Signal demodulator is communicatively connected with data terminal, further including geological detection method.The present application implants DAS optical fiber and temperature measuring optical fiber in advance directional borehole in coal mine underground, uses TBM own tunneling vibration as natural, continuous detection seismic source, realizes the dynamic imaging and intelligent identification of front geological body by analyzing the propagation response of vibration wave in complex geological structure, in combination with borehole multi-source information.

The application discloses a machine vision-based industrial product quality detection system and method, and particularly relates to the technical field of industrial automation; the application effectively solves the technical problem that the prior art can only complete static appearance quality detection of electronic components and cannot identify hidden functional defects of the components under rated working conditions, through multi-view appearance image acquisition and defect analysis, a surface evaluation coefficient is quantitatively generated, and preliminary screening and filtration of unqualified products are completed; then, rated electrical excitation is applied to the appearance qualified products, through multi-modal machine vision imaging, multi-dimensional response images such as infrared thermal imaging and microscopic dynamic imaging of the components during electrified working are synchronously acquired, the functional characteristics of four core dimensions of heat, deformation, action response and photoelectric switch are accurately quantified, hidden defects without static appearance representation are effectively detected, the risk of unqualified products flowing into the market is greatly reduced, and the running stability and use safety of terminal equipment are guaranteed from the source.

A dynamic image processing apparatus includes a hardware processor. The hardware processor generates waveform information including blood flow fluctuation and respiration-induced fluctuation in a predetermined region of each frame image constituting a dynamic image obtained by dynamic imaging by radiation. The hardware processor extracts the waveform information including dose fluctuation different from the blood flow fluctuation and the respiration-induced fluctuation from the generated waveform information.

The application discloses a monochrome sensor mixed coding illumination and image reconstruction method and an imaging system, relates to the technical field of computational imaging, and comprises the following steps: first, at least three RGB mixed illumination modes are designed, and a coding matrix is constructed; then, a plurality of frames of gray scale images under the same target state are collected through a global shutter monochrome sensor according to sequence exposure; subsequently, a generalized linear model is constructed based on the coding matrix, an equation set is solved, and a color image is reconstructed; finally, a standard format image is output after post-processing. The application can eliminate dynamic color smearing in principle, has frame-level self-calibration capability, is compatible in algorithm and strong in robustness, keeps the system small and low in cost, and is suitable for dynamic imaging high requirement scenes such as medical and industrial scenes.

This invention relates to the field of medical device technology, and in particular to a motion module integrated with a detection unit and a SPECT imaging system. The system includes a module support, a detection unit, a first flexible transmission component, a second flexible transmission component, a drive unit, and a displacement detection unit; it also includes an overall base, a rotating base, multiple sets of independent angle adjustment units, and a contour scanning unit. By integrating multiple detection units into a motion module, this invention enables the SPECT imaging system to have a shorter scanning time than traditional SPECT, and allows for rapid acquisition of data from various parts of the body and dynamic imaging of the whole body during continuous bed movement. Furthermore, the flexible adjustment of multiple detection units as needed greatly optimizes the workflow and improves equipment utilization.

The invention mainly relates to the technical field of X-ray tubes, and provides a time-resolved pulse X-ray tube which mainly comprises a time-resolved pulse light source, an X-ray tube sleeve, a transparent glass window, an electron multiplier, a photocathode material, a bias power supply, a high-voltage power supply, an electron focusing lens, an X-ray target material and a beryllium window. The pulse light source excites the photocathode material to generate photoelectrons, the photoelectrons are multiplied in the electron multiplier under the action of the bias electric field, and the multiplied electrons are focused into electron beam spots smaller than 1 mm under the action of the high-voltage electric field and the electron focusing lens to bombard the anode target of the X-ray tube at a high speed. Therefore, time-resolved pulse X-rays are generated. The pulse X-ray tube has a very important application prospect in X-ray dynamic imaging.

This invention discloses a method for estimating missing dynamic PET images based on a physical information neural network. It proposes a dynamic PET data estimation framework combining a spatiotemporal coding-decoding network, a kinetic parameter prediction network, and a hidden neural representation network. By introducing a dual-compartment model as a physical constraint, unsupervised learning is achieved without the need for complete labeled data or supervision by real kinetic parameters. This allows the neural network to simultaneously satisfy data consistency and kinetic consistency in estimating missing PET images. This invention solves the problem of conventional deep learning-based methods failing to guarantee physiological interpretability when reconstructing missing frames in dynamic PET images, achieving unsupervised, high-precision, and interpretable estimation of missing frames. This method is applicable to dynamic PET imaging scenarios with low doses, shortened scan times, or data loss due to motion.

The application discloses an organic small-molecule fluorescent probe and a preparation method thereof, and belongs to the technical field of biological fluorescent labeling. 16 The application discloses a D-pi-A type near-infrared fluorescent probe with straight-chain alkyl aniline as an electron donor, which discloses for the first time that the lipid droplet targeting imaging performance of the probe is negatively correlated with the weakening of the length of the alkyl chain, and the C4 probe with the optimal comprehensive performance is screened. The probe has the advantages of near-infrared emission, large stokes shift, high lipid droplet specificity and low cytotoxicity, and the preparation method is universal, mild and easy to scale up, and can be widely applied to the research and diagnosis fields of live cell lipid droplet dynamic imaging and lipid metabolism related diseases.

This invention discloses a β3-adrenergic receptor targeting probe GSHP, its preparation method, and its applications. The probe structure is shown below. This probe can visualize the β3-adrenergic receptor (β3-AR) and reversibly monitor the surrounding redox state in real time. Its excellent blood-brain barrier penetration capability enables in vivo brain imaging, which was previously difficult to achieve. This dual-response probe can reversibly and dynamically image the distribution of β3-AR in living cells and its surrounding redox homeostasis under stress conditions, providing direct visual evidence for redox adaptation. Further high-throughput screening using GSHP revealed and validated baicalin as a novel and potent natural inhibitor of β3-AR. Therefore, GSHP provides a multifunctional platform for studying β3-AR-related redox biology and guiding the discovery of treatments for brain diseases.

Method for imaging vascular activity dynamically at a microscopic scale in a vascular network of a human or animal, the method including: (a) performing a temporal series of Ultrasound Localization Microscopy images of a region of the vascular network, to obtain values of a vascular dynamics parameter in an area of interest in the region, a recording period of the temporal series of ULM images corresponding to a dynamical event, due to a cause other than cardiac pulsatily, which activates the vascular network in the region; (b) computing, based on the values of the vascular dynamics parameter, a measure of an evolution of the vascular dynamics parameter in response to the dynamical event.

The utility model discloses a kind of anti-reflection imaging systems for curved surface light-reflecting metal parts, including the industrial camera of being set gradually, adjustable multi-angle linear polarizer, coaxial polarization illumination system and multi-angle directional strip LED light source group, adjustable multi-angle linear polarizer is located in camera front end, coaxial polarization illumination system is coaxial with camera optical axis, and multi-angle directional strip LED light source group encircles workpiece illumination.The utility model two-way polarization imaging, suppress high light reflection while retaining structural information;Multi-angle gradual illumination, show curved surface shadow texture, improve defect recognition rate;Real-time exposure compensation, adaptive adjustment, adapt to different material and angle;HDR wide dynamic imaging, prevent image local overexposure or dead black;Structural integration integration, support deployment in robot arm end or fixed station.

The application discloses a TOF-PET reconstruction method based on implicit neural representation, which has a significant technical advantage in the deep integration of physical modeling and data-driven methods. Unlike traditional deep learning methods that rely only on large-scale training data for end-to-end mapping, the method explicitly embeds the physical forward model of TOF-PET imaging in the INR framework. By introducing a strict data consistency term, the network output always satisfies the system projection constraint and TOF response characteristics. This effectively avoids problems such as excessive smoothing, artifact enhancement, and structural distortion under adverse imaging conditions such as low count and low dose. The method achieves high-precision, quantifiable, and physically interpretable reconstruction results, significantly improving the reliability of the reconstructed image in clinical quantitative analysis. Without changing the overall modeling idea, the method can be flexibly extended to dynamic PET imaging, activity-attenuation joint reconstruction, motion compensation reconstruction, and multi-modal fusion tasks such as PET-CT and PET-MRI, and can handle a variety of complex imaging problems.

The application belongs to the technical field of optical imaging, and specifically discloses a pixel-level metasurface device and system for realizing polarization high dynamic imaging. The pixel-level metasurface device is used in front of an image sensor, and comprises at least one metasurface structure layer, wherein the metasurface structure layer comprises a plurality of structure pixels; each structure pixel corresponds to one photosensitive pixel array in the image sensor; when the metasurface structure layer receives incident light containing multiple polarization states, the structure pixels project the incident light of each target polarization state into different polarization regions of the corresponding photosensitive pixel array, and make the pixel regions marked with different intensity levels in the polarization regions receive incident light with different intensity levels, so that the target intensity gradient distribution is formed in the polarization regions. Based on the above, the application realizes a high dynamic range polarization imaging.

This utility model belongs to the field of PCB drill bit inspection technology, and discloses a core thickness gauge, including a body, a camera, and a rotating assembly. The body provides a location for measuring the core thickness of the PCB drill bit. The camera is used to photograph the PCB drill bit. The rotating assembly includes a drive component, a belt, a rotating platform, and a friction assembly. The drive component is connected to the body, the belt is sleeved on the output shaft of the drive component, the rotating platform is connected to the body, and the friction assembly is connected to the outside of the rotating platform. The friction assembly is used to drive the PCB drill bit to rotate. By combining multi-angle rotation of the PCB drill bit with dynamic imaging by the camera, comprehensive inspection of the PCB drill bit is achieved. The operator then compares and analyzes multiple sets of photographs one by one, significantly improving the accuracy of PCB drill bit core thickness data acquisition.

This invention provides a method and apparatus for implementing high dynamic range imaging (HDR), as well as an image processing system. The HDR imaging apparatus includes an image sensor, a pixel array within the image sensor comprising multiple pixel units, and a column processing unit including a gain control unit and an analog-to-digital converter. Each pixel unit includes two photoelectric conversion units with different photosensitivity. The gain control unit is used to determine the brightness range of the image based on the signal voltage output by the pixel units, and to select the photoelectric conversion unit for signal conversion within the pixel units, the charge-to-voltage conversion gain of the pixel units, and the voltage gain of the column processing units based on the brightness range. The HDR imaging method and apparatus provided by this invention can read the signal voltage only once, shortening the row readout time and thus increasing the frame rate.

The present application relates to a kind of patellofemoral joint active movement continuous dynamic imaging method and system, belong to image processing technical field, solve the problem that existing imaging plane cannot be moved in real time with patellofemoral contact surface in prior art.The sagittal three-dimensional body data frame sequence of knee joint region in the process of active flexion and extension movement of subject is collected;The knee flexion angle of each frame of sagittal three-dimensional body data in the sagittal three-dimensional body data frame sequence is calculated;Based on the knee flexion angle, get the physiological continuous sagittal three-dimensional body data frame sequence;For each frame in the physiological continuous sagittal three-dimensional body data frame sequence, determine the anterior-posterior long axis of patella in the frame;Based on the anterior-posterior long axis of patella, the multi-planar reconstruction is carried out to the frame of sagittal three-dimensional body data;Get the dynamic axial image sequence of contact surface alignment.The patellofemoral joint active movement dynamic image display along the maximum contact surface of patellofemoral joint is realized and is displayed continuously.

The application discloses a near-infrared organic photodetector with a pseudo-planar heterojunction and a preparation method and application thereof, and relates to the technical field of organic photoelectric materials.Based on the problem that the existing OPD is limited by high dark current, poor stability and lack of customized imaging system in the wide application in flexibility and dynamic imaging, the application proposes an integrated solution of a pseudo-planar heterojunction (PPHJ) OPD array and a customized imaging system, and finally, the OPD shows low dark current (4.28*10 ‑12 -4 A at 0 V) and fast response time (620 ns), and the best stability benefits from vertical phase separation and donor-acceptor morphology, and the obtained device shows superior mechanical stability (95% of the initial p is retained after 500 bending cycles within a 5mm radius) and light stability (more than 80% of the initial photocurrent), and the power is 5.9 mW cm ‑2 -2 after 50000 seconds of continuous operation, so that the PPHJ device can be seamlessly integrated into a flexible electronic device.

This invention provides an automatic sorting device for electronic components, relating to the field of automated detection and sorting equipment technology. The automatic sorting device includes a frame, with a flexible adsorption mechanism located at the upper center of the frame. A feeding conveyor belt is located on one side, and a turntable conveyor mechanism is located on the other side. The turntable conveyor mechanism includes a rotating disk, with a feeding station, a detection station, and a discharging station sequentially arranged around its edge. In this invention, the flexible adsorption mechanism, which spans across the frame, utilizes the rotation of a crossbeam to achieve alternating loading and unloading at both ends, eliminating the idle return wait of traditional mechanisms and significantly improving throughput efficiency. Simultaneously, by combining flexible silicone microporous adsorption with multi-angle visual detection in a static state, it effectively solves the problems of easily falling off irregularly shaped components and blurred dynamic imaging, achieving highly compatible, non-destructive, and high-precision automated sorting of electronic components.

This disclosure provides an image correction method, apparatus, electronic device, and program product. The method includes: preloading multiple pre-stored dark current noise models corresponding to different line frequencies; acquiring the real-time line frequency of the camera during the current image acquisition process; searching for a corresponding target dark current noise model from the pre-loaded multiple dark current noise models based on the real-time line frequency; and performing image correction based on the image data acquired by the camera and the target dark current noise model to obtain corrected image data. This disclosure solves the technical problems of high storage pressure, high response latency, and limited parameter coverage caused by the correction data being built into the camera in related technologies, achieving high-precision, fast-response real-time dark current correction in high-speed dynamic imaging scenarios.

This invention belongs to the field of remote sensing satellite ground data processing technology, and discloses a method and system for high-precision star centroid extraction and restoration in dynamic imaging mode. Based on the image-side coordinates of stars in the star image and the right ascension and declination of the stars, this invention calculates the satellite attitude and angular velocity, constructs a model of star centroid error and angular velocity, and determines whether the stars are in a low-dynamic or high-dynamic trailing state. For low-dynamic trailing star images, sub-pixel centroids are extracted using two-dimensional elliptical Gaussian fitting; for high-dynamic trailing star images, BM3D denoising, an improved EVSSM model restoration, and two-dimensional elliptical Gaussian fitting are used sequentially to extract the centroids. The extracted centroids are used for attitude calculation, and the centroid extraction accuracy is evaluated by the mean square error of the optical axis angle. This invention achieves full-process optimization from star image restoration to sub-pixel-level centroid extraction under dynamic imaging conditions through angular velocity threshold determination, noise suppression, model restoration, and fitting collaborative processing, improving the stability and reliability of attitude calculation.

In an external display device, it is possible to reduce the sense of incongruity and quickly confirm the moving image. The mobile radiation imaging device includes: a first wireless output unit that wirelessly outputs a moving image including multiple frame images obtained through dynamic imaging to an external device; and a second wireless output unit that wirelessly outputs a display moving image based on the moving image to an external display device, wherein the second wireless output unit outputs the display moving image after obtaining at least two of the multiple frame images of the moving image.

The application provides a dynamic encryption imaging method and device based on orbital angular momentum speckle, and the method comprises the following steps: step 1, generating an initial Gaussian light beam output by a coherent light source, and adjusting the polarization state of the initial Gaussian light beam through a polarization control unit, and adjusting the aperture of the light beam through an expansion optical system; step 2, generating an orbital angular momentum vortex light beam corresponding to a topological charge number; step 3, forming an orbital angular momentum speckle field corresponding to the topological charge number one by one, and taking the orbital angular momentum speckle field as a dynamic encryption key; step 4, continuously illuminating a dynamic target and realizing information multiplexing coding; step 5, obtaining an encrypted intensity image carrying multiple frames of dynamic information; and step 6, outputting multiple frames of dynamic imaging results. The application realizes efficient optical encryption imaging of a dynamic scene under single-exposure conditions, and has the technical effects of large key space, strong controllability, simple system structure, strong anti-interference ability and the like.