161 results about "Dynamic imaging" patented technology

The invention discloses an HDR image reconstruction method based on progressive feature alignment and quality guide fusion, and the method comprises the steps: inputting a to-be-processed LDR image sequence into a trained progressive quality guide image reconstruction model, and obtaining an image reconstruction result; according to the model, after an input LDR image sequence is linearized, a progressive variable feature alignment module aligns non-reference frame features through a multi-scale pyramid and cascade deformable convolution, and multi-scale features are output through exposure perception modulation; the quality guide motion compensation module iteratively optimizes an optical flow field and a confidence coefficient mask through a cascade optical flow quality refining structure block; and the structure maintenance fusion module aligns the HDR sequence by using the optical flow field, performs dynamic weighted fusion in combination with a confidence mask, and finally enhances details through a Laplace attention mechanism and outputs a ghosting-free HDR image. According to the method, through progressive alignment and fusion of quality perception, the balance problem of ghosting and detail loss in dynamic HDR imaging is solved.

The invention discloses an automatic instrument reading method and system based on embedded machine vision. The method comprises the following steps: deploying an embedded image acquisition unit with wide dynamic imaging capability; performing multi-mode preprocessing of white balance correction, contrast enhancement and noise suppression on the image; self-adaptively identifying the instrument type and positioning a key area by using a lightweight convolutional neural network; hough transform and sub-pixel edge detection are adopted for a pointer type instrument to achieve high-precision angle analysis, and optical character recognition is completed for a digital instrument through a bidirectional long-short-term memory network; and finally, fusing multi-frame results through Kalman filtering, evaluating credibility, and outputting stable readings with timestamps. According to the technical scheme, high-robustness, high-precision and low-delay automatic reading can be realized at the embedded end, and the operation stability and the long-term adaptability of the system in a weak network environment are remarkably improved.

A Multi-Angle Dynamic Image system provides multi-angle observation capabilities comprising lamps strategically positioned to obtain high quality images of the security documents or items under analysis, to obtain images with variations in the observation angle of the security document or item under study. The system includes a box platform for placing the security document or item thereupon, the box platform changes its orientation, allowing the system to capture the variations in color and structure as the orientation and the angles of the observation and illumination change. The system also includes a high-resolution linear camera to capture the intricate details while avoiding distortion and parallax issues. The system also includes a computer configured to run algorithms to process image acquisition data for a complete set of observation angles, to pre-process image acquisition data including crop and image standardization, to calculate differences between adjacent angle images, eliminate noise, to calculate a total optical flow using the images at different angles and their differences to generate the Dynamic Images vectorial field, one per orientation, and the Dynamic Map, a heat map generated using the magnitude from the Dynamic Image vectorial field, and calculate from the Dynamic Image the different parameters associated with dynamic properties of the OVD.

The invention belongs to the technical field of nuclear equipment monitoring, and aims to solve the problems of spatial resolution reduction caused by a multi-source acoustic signal aliasing effect in a complex industrial environment and feature extraction difficulty caused by industrial noise and fault sound source spectrum overlapping. According to the method, spatial decoupling is carried out, sparse Bayesian learning and minimum variance undistorted response beam forming joint optimization is carried out, a sound source orientation is preliminarily estimated, synchronous extrusion wavelet transform and NMF joint time-frequency analysis is carried out, and a spatial anomaly acoustic diagnosis result is obtained. Sound source transient characteristics and energy evolution laws are extracted through time-frequency conjoint analysis, a multi-dimensional characteristic space is constructed, the number of fault types is determined for fault type classification, and three-dimensional coordinate mapping and error feedback are displayed; the system comprises an airspace decoupling module, a time-frequency decomposition module, a feature fusion module and a dynamic imaging module. According to the invention, the sound source positioning precision can be realized, and the resolution limitation of traditional beam forming is broken through.

The invention discloses a dynamic image motion correction method based on a graph neural network, and the method comprises the following steps: a), constructing a target region trajectory tracking model based on the graph neural network, and achieving the high-precision motion trajectory modeling; b) analyzing an image displacement mode in real time through a dynamic discrimination algorithm; and c) realizing adaptive image motion correction based on the target area track features. According to the method, the problem of complex motion trail modeling limitation caused by dependence on fixed template matching in a traditional method is innovatively solved, and the problem of spatial-temporal characteristic aliasing caused by unsteady state deformation of nervous tissues is effectively solved. According to the technical scheme, the dependence on a hardware synchronization signal acquisition module is eliminated, the resource configuration requirement of the edge computing equipment is remarkably reduced, and meanwhile, the multi-scale time sequence integration efficiency is improved. According to the method, dynamic imaging reconstruction of subcellular neural activities can be realized, and dynamic change details in a target neuron issuing process can be accurately restored.

The invention relates to an impregnation machine resin liquid level intelligent sensing and early warning method. The method comprises the steps that multiple sampling positions are arranged in a resin liquid level area in impregnation machine equipment; performing noise suppression and signal normalization processing on the time domain dielectric signal data set; performing feature classification on the data samples under different working conditions; adopting the historical liquid level response database to construct a multi-working-condition adaptive baseline model; a standardized time domain dielectric signal sequence obtained through actual sampling is input into the multi-working-condition self-adaptive baseline model, and a liquid level local abnormal trend signal is obtained; performing multi-window space-time distribution dynamic imaging processing on the liquid level local abnormal trend signal; inputting the amplitude, continuity and spatial diffusion characteristic parameters of the trend change into a historical false alarm and artifact event characteristic library; and dynamically generating a self-adaptive early warning threshold value for the liquid level abnormal trend signal after the artifacts are removed. According to the invention, high-sensitivity acquisition and dynamic amplification of local electromagnetic response caused by small fluctuation of the resin liquid level can be realized.

The invention discloses a thoracic cavity three-dimensional electrical impedance tomography method and thoracic cavity three-dimensional electrical impedance tomography equipment. The method comprises the following steps: acquiring a three-dimensional point cloud of the appearance of a chest area of a testee to establish a three-dimensional chest model; carrying out equipment self-inspection and checking the bonding condition of the electrode; generating a determined excitation signal and injecting the excitation signal into the testee; acquiring a voltage signal of each electrode; separating EIT and ECG signals and filtering the EIT and ECG signals; according to a three-dimensional thoracic cavity model of the testee, performing positive problem calculation on the voltage signal to obtain the potential of each electrode of the three-dimensional thoracic cavity model; and performing three-dimensional reconstruction by adopting a single-step Gaussian Newton method to obtain a lung ventilation change electrical impedance imaging graph. According to the method, the three-dimensional thoracic cavity model of the testee is constructed, the positive problem solution is performed on the voltage signal, and the image reconstruction is further performed, so that the real-time high-precision three-dimensional dynamic imaging of the thoracic cavity of the testee can be completed, and the imaging accuracy is high.

The invention discloses an X-ray tomography in-situ testing device and method suitable for a seawater high-pressure environment. The X-ray tomography in-situ testing device comprises an X-ray source, a collimator, a flat panel detector, a seawater pressure cabin and a seawater pressure control device. During detection, the X-ray source is started, the sample is started to move spirally, the flat panel detector collects projection data, then a cross-sectional image is reconstructed through an existing method, and the X-ray tomography in-situ test of the sample in the seawater high-pressure environment is achieved. In order to solve the problems that a seawater in-situ detection device in the prior art is insufficient in penetrating power, low in resolution ratio, limited in sample movement freedom degree and poor in high-pressure environment adaptability, the invention discloses an X-ray tomography device and method, and in-situ dynamic imaging can be carried out on a large component in a seawater high-pressure environment. In-situ observation of micron-sized damage and defects (100-200 microns) is realized, and meanwhile, an imaging view field is expanded through a multi-degree-of-freedom sample table and a spiral scanning method, so that the detection efficiency is improved.

The invention discloses an airborne dynamic imaging-oriented image quality enhancement calculation processing system and a method thereof, and relates to the technical field of calculation optics. The system comprises an illumination module, a collimation module, a confocal module, a beam splitting module, an angle selection filtering module and an imaging module. The angle selection filtering module changes the incident angle of a light beam through physical movement or rotation, so that the angle selection filtering module excites a Berman mode in a near-zero dielectric constant double-layer film, and real-time switching between normal incidence low-pass denoising and oblique incidence high-pass sharpening is achieved. According to the invention, switching of two typical image processing functions can be realized only through incident angle adjustment without introducing an electrical regulation and control element, so that sharpening and denoising function integration is realized in a single optical structure, and the system has millisecond-level angle switching, low power consumption and a compact linear folded optical path, and is suitable for airborne high-speed imaging.

To enhance reliability of breath-holding failure determination.SOLUTION: A kymographic apparatus comprises: a waveform acquisition part that acquires a lung field signal waveform regarding a lung field and a periodic signal waveform synchronous with a heartbeat from a dynamic image acquired in radiation kymography based on photographing conditions including breath-holding instructions; and a determination part that determines the occurrence of a breath-holding failure during the radiation kymography, on the basis of the result of comparison between the acquired lung field signal waveform and the acquired periodic signal waveform.SELECTED DRAWING: Figure 5

The invention relates to the technical field of photoelectric detection, in particular to a photocurrent imaging system based on a probe station and an electrometer. The system generates a focused detection light beam through a light path system, the focused detection light beam irradiates a sample carried by a probe station after being spatially modulated by a mask plate, weak light current signals generated by the sample are collected by an electrometer, and a high-resolution light current distribution image is generated by combining scanning motion of a high-precision electric control displacement platform and intelligent processing of computer software. A physically-driven signal enhancement model, a multi-dimensional noise suppression algorithm and a dynamic imaging optimization formula are innovatively designed, the problems that in the prior art, weak light current detection precision is low, the scale connection error is large, and imaging efficiency is insufficient are solved, accurate quantitative analysis of the photoelectric characteristics of materials is achieved, and the method is suitable for popularization and application. The method is suitable for semiconductor device research and development, solar cell performance evaluation, biosensor detection and other scenes, and has both detection precision and application flexibility.

The invention discloses a three-spot welding dynamic imaging stabilization detection method based on motion compensation modeling, and relates to the technical field of photovoltaic energy monitoring, and the method comprises the following steps: obtaining an acoustic vibration signal, a picture time marking signal and a jig lifting displacement signal of the whole jacking process of a compressor shell, carrying out the time synchronization and feature fusion of the obtained signals, and carrying out the feature fusion of the obtained signals; and generating a resonance distribution band for constructing a dynamic reference model for subsequent time sequence analysis. According to the invention, through multi-source signal synchronous modeling and light machine closed-loop regulation and control, millisecond-level consistency of a jacking action and an imaging process is realized. Exposure and vibration phases are accurately controlled through staggered anchor points, a drift sketch, a baseline ring and an alignment key, pixel drift and brightness fluctuation are remarkably reduced, the detection false alarm rate and the detection omission rate are reduced by 73% and 67% respectively, and high precision and high stability of three-spot welding dynamic detection are achieved.

The invention relates to the technical field of medical image analysis, in particular to a dynamic DR digestive tract radiography automatic tracking and focus marking system which comprises a dynamic DR imaging module, an image real-time processing module, a contrast agent motion tracking module and a focus intelligent marking module. A deep learning algorithm is utilized to segment a contrast agent flowing area in real time and construct a dynamic three-dimensional model of a digestive tract, a contrast agent movement track is analyzed and tracked in combination with time-space domain features, and meanwhile, based on morphological anomaly detection and comparison with a focus feature library, focus positions such as stenosis, ulcers and space-occupying lesions are automatically marked; the problems of image blurring and tracking offset caused by alimentary canal peristalsis are solved by adopting a self-adaptive registration optimization algorithm of dynamic DR images and motion characteristics of alimentary canal contrast agents; by means of the method, the problems that traditional digestive tract radiography depends on manual interpretation of dynamic DR images, the focus tracking efficiency is low, and marking is prone to omission are solved.

A sorting machine with a dynamic vision system is developed to provide dynamic lighting, imaging, and analysis of industrial materials while moving the conveyor. The sorting machine comprises a washing box, a vision system, a control unit, and a transferring unit. The vision system comprises dynamic imaging unit and dynamic lighting unit. The vision system is configured to provide a dynamic lighting and a dynamic imaging of industrial materials. The imaging unit comprises a camera, a camera movement unit, and a dynamic camera stand. The lighting unit comprises an optical section, a linear motion adjuster section, and a light angle adjuster section.

1. Name of the product in this design: Integrated instrument for in situ cell culture and dynamic imaging. 2. Purpose of this design: for in situ cell culture, and to simultaneously perform real-time dynamic imaging of cells from the bottom. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a dynamic tracheal stenosis diagnosis system based on dynamic DR combined with deep learning, which relates to the technical field related to medical image intelligent analysis and comprises a dynamic DR imaging module, a time sequence data processing module, a deep learning analysis module and a visual report module. The invention further discloses a tracheal stenosis dynamic diagnosis method based on dynamic DR combined with deep learning. The tracheal stenosis dynamic diagnosis method comprises the steps of dynamic DR imaging, data processing, deep learning analysis and report generation. According to the method, 3D convolution and time sequence modeling are fused, real-time segmentation and tracking of a dynamic image are achieved, the performance is superior to that of a traditional 2DCNN or an independent time sequence model, data collection is optimized through a pulse perspective mode, respiratory gating and motion correction are combined, double challenges of dynamic image quality and algorithm robustness are solved, key data in a structured report can be filed in batches, and real-time segmentation and tracking of the dynamic image are achieved. A standardized database is provided for tracheal stenosis cause distribution, a thermodynamic diagram and a curve graph generated by the system provide high-quality annotation data, and iterative optimization of an algorithm is promoted.

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.

The invention discloses a near-infrared ratio type fluorescent probe for rapidly and reversibly detecting histamine (HA), a preparation method of the fluorescent probe and application of the fluorescent probe in dynamic cell imaging, and belongs to the technical field of fluorescence imaging and biosensing. The preparation method comprises the following specific steps: synthesizing aza-BODIPY molecules (1a-1d, 2a-2d) with different halogenations, and meanwhile, connecting the aza-BODIPY molecules with hydroxyl groups at 3 and 5 sites with a hydrophilic PEG (Polyethylene Glycol) fragment and halogen to obtain an HA probe HAPCyto with good water solubility; in addition, the hydroxyl aza-BODIPY molecules are continuously subjected to substitution, halogenation and hydrolysis reaction to obtain carboxyl-containing aza-BODIPY molecules, then the aza-BODIPY molecules are subjected to amidation reaction by utilizing the site, and different organic fragments are respectively connected to obtain a cell membrane targeted HA probe HAPPM, a golgi apparatus targeted HA probe HAPGA and a HaloTag HA fluorescent probe HAPHaloTag. When HA exists in a solution, the developed probe can realize rapid reversible detection of the near-infrared ratio of histamine, also shows good reversible property in mast cells, and can realize dynamic monitoring of histamine in cells.

The invention relates to a moving image processing device, a moving image processing method and a computer program product, and provides a moving image processing device capable of acquiring a moving image suitable for dynamic analysis processing. A dynamic analysis device is provided with: a first generation unit that generates a dose waveform including blood flow fluctuations and respiratory fluctuations in a region of interest in each frame image constituting a dynamic image obtained by dynamic imaging by radiation; an extraction unit that extracts, from the dose waveform generated by the first generation unit, a frame waveform including random body movement fluctuations that differ from blood flow fluctuations and respiratory fluctuations; and a second generation unit that generates information indicating that the waveform information extracted by the extraction unit is a moving image that is not suitable for dynamic analysis.

The present application relates to a kind of impregnator resin level intelligent sensing and early warning method, including the multiple sampling positions of resin level area in impregnator equipment;Noise suppression and signal normalization processing are carried out to time domain dielectric signal data set;Feature classification is carried out to data sample under different working conditions;Adaptive baseline model under multiple conditions is constructed using historical liquid level response database;The standardized time domain dielectric signal sequence obtained by actual sampling is input into adaptive baseline model under multiple conditions, and local abnormal trend signal of liquid level is obtained;Local abnormal trend signal of liquid level is processed by multi-window space-time distribution dynamic imaging;The amplitude, persistence and spatial diffusion characteristic parameters of trend change are input into historical false alarm and artifact event feature library;After excluding artifact, the abnormal trend signal of liquid level, dynamically generates adaptive early warning threshold.The present application can realize the high sensitivity collection and dynamic amplification of local electromagnetic response caused by the slight fluctuation of resin level.

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.

According to the detection imaging system and application provided by the invention, the optical antenna-based ultra-wide spectrum imaging detection assembly is deployed on the focal plane, so that the optical transmission loss is greatly reduced, ultra-wide spectrum detection is realized by virtue of the broadband characteristic of the optical antenna, and the system architecture is effectively simplified. Through a unique spectrum conversion mechanism, the spectrum limitation of a traditional detector is broken through, a local field enhancement technology is matched, and the detection sensitivity of low-energy incident light is remarkably improved. Meanwhile, due to fine coupling of the optical antenna-based ultra-wide spectrum imaging detection assembly and the CMOS photosensitive array, efficient point-to-point energy transmission can be achieved, so that the rapid response characteristic and the high-speed frame frequency are organically combined, real-time dynamic imaging and data processing are supported, and finally the obvious advantages of wide spectrum coverage, high sensitivity, rapid response and low cost are shown.

The present application relates to microlens three-dimensional imaging technical field, specifically relates to micrograph array method and three-dimensional dynamic imaging material with micrograph, aims at solving the problem that microlens three-dimensional imaging cannot simultaneously meet fixed visual angle stable imaging and variable visual angle dynamic response.The technical scheme main points are: including transparent substrate layer;Micrograph structure layer;Microlens structure layer, microlens structure layer is located on the side of transparent substrate layer away from micrograph structure layer;Vacuum coating layer, vacuum coating layer is arranged on the surface of microlens structure layer, microlens structure layer is matched with micrograph structure layer, so that three-dimensional dynamic imaging material presents integrated micrograph three-dimensional dynamic stereoscopic image that changes with observation angle in the visual angle range, micrograph structure of different visual angle frame rate is fused according to the viewing angle segmentation, and a kind of three-dimensional dynamic imaging film material is made, and the image gradually changes when micrograph is seen through vacuum coating layer reflection formed when viewing visual angle or deflecting material changes.

According to the pancreas exocrine function in-vivo high-resolution monitoring system and monitoring method provided by the invention, exciting light emitted by a laser module (1) is reflected by a scanning galvanometer (21) and then is transmitted through a dichroscope (22); the femtosecond pulse exciting light passing through the dichroscope (22) is focused on a pancreas sample arranged on the objective table (24) by the objective lens (23) and excites a tryptophan two-photon fluorescence signal in the pancreas sample, and the tryptophan two-photon fluorescence signal is collected by the objective lens (23); after being reflected by the dichroscope (22), the femtosecond pulse exciting light is separated from the femtosecond pulse exciting light and then detected by the detector (25), so that a two-photon fluorescence image of tryptophan in the pancreatic sample is obtained, and tryptophan two-photon fluorescence can display pancreatic adenosine zymogen particles. The tryptophan two-photon fluorescence signal is used for carrying out delayed dynamic imaging on a pancreas sample, so that in-vivo, three-dimensional and high-resolution characterization of the pancreas zymogen particle number, distribution polarity, movement tendency and other characteristics can be reflected, and the pancreas exocrine function of the organism can be reflected in real time.

The invention relates to a task-driven adaptive imaging method for power line anomaly detection, and the method comprises the steps: constructing a power line anomaly detection model, an adaptive camera control model and an image simulation model, and carrying out the combined optimization of the dynamic imaging parameters of a camera and a downstream anomaly detection task based on the three models. A dynamic mapping relation among ambient light, the moving speed of inspection equipment, dynamic imaging parameters and detection performance is established, and conversion from general imaging to task optimal imaging is realized. And the problem of poor performance of a downstream anomaly detection model caused by a general imaging means under complex illumination and motion in the existing routing inspection technology is solved. According to the invention, the image simulation model is utilized to obtain the data set for training the model based on the data set of the existing anomaly detection task, and the data set construction process is simplified.

The invention belongs to the technical field of luminescent materials, and particularly relates to a cuprous iodide complex single crystal as well as a preparation method and application thereof. The invention discloses a cuprous iodide complex single crystal based on pyrimidine derivative ligand 4-Mepym, the chemical formula of the cuprous iodide complex is CuI (4-Mepym), the 4-Mepym is an organic ligand component, and the CuI is an inorganic component; the organic ligand is obtained by bridging two Cu (I) through double nitrogen atoms; the cuprous iodide complex single crystal is an orthorhombic system, and the cuprous iodide complex single crystal can be obtained from cuprous iodide and 4-methylpyrimidine through a method of combining solution diffusion with solvent volatilization. The cuprous iodide complex single crystal disclosed by the invention is used as a scintillator, a scintillator film is obtained through blade coating, dispensing and other technologies, and the scintillator film can perform clear imaging on the internal structure of a real object under X-ray irradiation and can also be used for three-dimensional dynamic imaging.

The present disclosure provides a non-transitory computer-readable recording medium storing a radiographic image analysis program that causes a computer to execute: acquiring a plurality of frame images generated by performing dynamic imaging by irradiating a subject with radiation under an imaging condition corresponding to a combination of a plurality of types of dynamic analyses set in advance; and executing, based on the plurality of frame images, the plurality of types of dynamic analyses included in the combination.

The invention relates to the technical field of ice crystal dynamics, and particularly discloses an experimental device and method for mixed-phase ice crystal impact. The experimental device for mixed-phase ice crystal impact comprises an ice crystal transmitting device, a mixed-phase ice crystal generating device, a high-speed dynamic imaging system, a constant-temperature target surface system and a computer, and is characterized in that the ice crystal transmitting device, the mixed-phase ice crystal generating device and the constant-temperature target surface system are oppositely mounted from top to bottom, and the central axes of the ice crystal transmitting device, the mixed-phase ice crystal generating device and the constant-temperature target surface system are overlapped; and the high-speed dynamic imaging system is correspondingly arranged at the outlet of the ice crystal launching device and the surface position of the constant-temperature target surface system and is connected with the computer. The experimental device provided by the invention not only can realize preparation of mixed-phase ice crystals, but also can realize impact observation of different target surfaces; the whole device has a high integration level, and different information in the ice crystal impact process can be accurately obtained.

The invention provides a gastrointestinal three-dimensional dynamic imaging analysis method based on conductivity distribution modeling, and the method comprises the steps: applying at least three composite electric signals with different frequencies to a gastrointestinal region, collecting voltage response signals, and constructing a dynamic conductivity parameter matrix based on frequency domain feature separation. And then, spatial discretization processing is carried out by using a nonlinear interpolation algorithm, a three-dimensional conductivity distribution map is generated, dynamic modulation and demodulation processing is carried out on the map, and a frequency band weight coefficient is adjusted. And mapping the modulated data to a dynamic imaging coordinate system through an inverse projection algorithm to generate a three-dimensional dynamic imaging result. According to the space coordinates and the change rate of the conductivity gradient mutation area, the position and the activity state of the gastrointestinal abnormal area are judged, and a self-adaptive feedback mechanism is adopted to update boundary condition parameters of the initial conductivity distribution model. The accuracy and efficiency of gastrointestinal disease diagnosis can be improved.

The present application relates to the technical field of optical elements. Disclosed are a micro-optical element and a preparation method therefor, an electronic device and an anti-counterfeiting label. The micro-optical element, namely a dynamic imaging film, comprises a base layer, and a micro-graphic layer and a micro-lens array layer arranged on two sides of the base layer in the direction of thickness thereof, wherein a plurality of steps having randomly distributed heights are provided inside recesses of the micro-graphic layer, and the plurality of steps may form inside the recesses at least one micro-filling structure having an irregularly shaped opening. The micro-filling structure can function to lock a filling material, e.g., ink, increase the ink filling volume and solve the problem of poor ink filling, thereby facilitating an improvement in the display effect of an imaging pattern.