450 results about "Three dimensional imaging" patented technology

The invention discloses a road cavity volume calculation method and device based on a three-dimensional FK migration algorithm, equipment and a medium, and relates to the technical field of road cavity detection, and the method comprises the steps: obtaining three-dimensional ground penetrating radar data, and carrying out the preprocessing of the data, and obtaining target radar data; converting the target radar data to a frequency wavenumber domain to obtain frequency wavenumber domain radar data; establishing a road hierarchical velocity model, and performing hierarchical wave field extrapolation and double weight correction based on the frequency wave number domain radar data and the road hierarchical velocity model to obtain corrected wave field data; performing sparse constraint optimization imaging processing on the corrected wave field data to obtain a target imaging result; and carrying out boundary extraction processing on the target imaging result to obtain a three-dimensional cavity boundary point set, and carrying out voxelization processing based on the three-dimensional cavity boundary point set to obtain a road cavity volume. According to the invention, high-precision restoration of the shape of the road cavity and automatic extraction of the volume can be realized in three-dimensional GPR imaging.

The invention discloses a multi-medium three-dimensional flaw detection system based on ultrasonic pulse echoes. The multi-medium three-dimensional flaw detection system comprises a synchronous data acquisition module, a temperature compensation module, a multi-physical field simulation optimization module, a signal processing module and a three-dimensional imaging and output module, the synchronous data acquisition module scans an object, records coordinates and synchronously transmits and receives ultrasonic echoes; the temperature compensation module calculates real-time sound velocity according to the water temperature, the real-time sound velocity is used by the multi-physics field simulation module, and the multi-physics field simulation module simulates sound wave propagation and generates a defect-free theoretical waveform as a reference by combining intrinsic parameters of an object and sound wave propagation parameters; the signal processing module carries out processing and feature extraction on actually measured echoes, and compares the actually measured echoes with a reference to identify defect signals; and the three-dimensional imaging module associates the signals with the coordinates, a three-dimensional model is generated by adopting slice reconstruction and a compressed sensing algorithm, and defects are visualized, so that the precision, the efficiency and the environmental adaptability of three-dimensional flaw detection can be improved.

The invention relates to the technical field of CT detection, and discloses a plane CT fan-beam projection filtering back projection reconstruction method and CT detection device.The method comprises the steps that S1, tilt geometric configuration parameters are determined according to the distance from a detector to a rotation center and a tilt angle, a sample rotating table is controlled to rotate, and the detector is triggered at each rotation angle to collect first projection data; s2, calculating a global three-dimensional coordinate of a detector pixel point under each rotation angle, and generating second projection data; s3, performing frequency domain filtering according to the thickness of the sample and the second projection data to obtain third projection data; and S4, calculating a ray intersection point coordinate from a reconstructed slice pixel point to a detector plane, and reconstructing the third projection data according to the ray intersection point coordinate to obtain a tomographic reconstruction image.According to the method, high-frequency detail features are reserved while noise is suppressed, the problem that a traditional fixed filtering kernel parameter is poor in adaptability to different samples is avoided, and the method is suitable for being applied to the field of image reconstruction. Therefore, high-precision three-dimensional imaging is realized.

The invention discloses a lining pipeline interface contact pressure distribution testing device and method, relates to the technical field of pipeline detection, and aims at solving the problem that in the prior art, interface contact pressure distribution is difficult to represent in a lossless and quantitative mode. The device comprises a testing machine moving platform, an overground control moving platform, a lining pipe wall testing claw, an ultrasonic signal transceiver and a three-dimensional imaging module, the testing claw carries four curved-surface ultrasonic probes, and signals are collected in a one-transmitting-multiple-receiving mode controlled by an FPGA (Field Programmable Gate Array); according to the method, a contact pressure characterization model is constructed through self-adaptive positioning and signal excitation and processing, and interface pressure distribution visualization is achieved in combination with a three-dimensional imaging technology. The method does not need to damage the pipeline structure, can accurately capture the spatial distribution characteristics of the contact pressure, is adaptive to the conventional detection of long-distance pipelines, provides a scientific basis for lining repair quality evaluation and pipeline operation safety, and is convenient to operate and high in applicability.

The invention discloses a three-dimensional electromagnetic inverse scattering imaging method of a diffusion model based on physical constraint embedding. The method comprises the following steps: 1, in a specific three-dimensional electromagnetic inverse scattering imaging environment, defining a dielectric constant of an imaging area, arranging a transmitting and receiving antenna array at the periphery, and obtaining scattering field data of a target area for constructing an input and output sample pair of a diffusion model; 2, constructing a diffusion model on the three-dimensional grid space; 3, introducing a physical consistency constraint term based on a Maxwell equation set in the training stage of the diffusion model; and 4, synthesizing the generation loss and the physical constraint loss of the diffusion model, constructing a joint optimization objective function, and carrying out iterative updating on network parameters by adopting an end-to-end back propagation algorithm until the model converges. According to the method, the spatial resolution and continuity of three-dimensional imaging are remarkably improved, the stability and robustness of inverse scattering reconstruction are improved, and the physical consistency is enhanced. And high-precision and interpretable three-dimensional electromagnetic inverse scattering imaging can be realized.

The invention provides a plant phenotype platform three-dimensional imaging method and device based on multi-sensor fusion, and the method comprises the steps: collecting the original three-dimensional point cloud data of a plant through a plurality of heterogeneous imaging sensors carried on a plant phenotype platform, and carrying out the time synchronization processing and space registration processing. And dynamically calculating the confidence coefficient weight of each data point according to the environment illumination condition, the measurement attribute of each data point in the registration point cloud set and the characteristics of the imaging sensor to which the data point belongs, and obtaining a point cloud set with a point-level confidence coefficient weight. Performing adaptive weighted fusion processing according to the spatial distribution of the point cloud set to generate a preliminary fusion point cloud model; and according to a quality index of the model and a real-time environment illumination condition, dynamically adjusting and calculating a weight parameter of a confidence coefficient weight, and finally outputting an optimized three-dimensional point cloud model after iterative optimization. The defect that a fusion result of an existing plant three-dimensional phenotype accurate acquisition scheme is insufficient in stability and precision in a complex and changeable field environment is overcome.

The invention discloses a light field microscopic three-dimensional imaging method combining self-supervised learning and optical constraint. The method comprises the following steps: constructing a light field microscopic three-dimensional reconstruction reference data set; according to the invention, the two-dimensional light field image collected by the microscope is divided into a plurality of sub-aperture views, angle-space joint representation is formed, angle information and space information in the light field image are captured more comprehensively, and a richer and more accurate feature basis is provided for subsequent three-dimensional reconstruction; a self-supervised pre-training mode is adopted, so that the model has a certain knowledge basis in an initial stage, and in subsequent supervised training or fine tuning, convergence can be faster, and the training efficiency is improved; according to the method, physical constraints are integrated into the training process, so that the reconstructed three-dimensional structure is not only visual reasonable, but also credible in physical significance, the designed loss function can more accurately measure the difference between the reconstruction result and the real three-dimensional structure, and the quality and precision of the reconstruction result are improved.

The invention relates to a strain vibration field measurement system and method based on optical multi-view three-dimensional imaging. The system comprises a camera imaging parameter calibration module for calibrating relative imaging parameters of other cameras by taking a middle camera as a reference, and outputting camera parameters and independent calibration results of each visual angle under a unified coordinate system; the feature point matching module is used for completing accurate matching of same-name feature points at different visual angles and different moments and outputting a standardized feature point matching result; the feature point three-dimensional coordinate reconstruction module is used for converting feature point information in the two-dimensional image into three-dimensional space coordinates to obtain three-dimensional position data of feature points; the three-dimensional displacement and strain resolving module is used for calculating the three-dimensional displacement and strain of the feature points of the region to be measured by taking the initial moment as a reference and generating three-dimensional displacement field and strain field data; and the result visualization module is used for converting the numerical three-dimensional coordinates, displacement and strain data into visual visualization graphs. According to the invention, surface strain monitoring of an object in a running state is realized.

The invention discloses a drainage pipeline three-dimensional imaging method and system based on neural radiation field and Gaussian sputtering fusion reconstruction, and relates to the technical field of computer vision and deep learning. The method comprises the following steps: performing calculation training on an acquired standardized multi-view image to generate point cloud image data, performing initialization sparse three-dimensional structure reconstruction by adopting Gaussian sputtering, guiding neural radiation field initialization by utilizing a sparse three-dimensional structure, generating a rendering image for the same view angle through a Gaussian sputtering model and a neural radiation field network respectively, and performing point cloud image reconstruction. Fusing the two rendering images to obtain a three-dimensional imaging model; according to the method, efficient, high-precision and physically credible three-dimensional reconstruction under the pipeline internal environment with uneven illumination, serious shielding and sparse texture is realized through technology fusion and domain knowledge embedding, and a reliable data basis is provided for pipeline disease diagnosis and quantitative analysis.

The invention discloses a multi-angle X-ray imaging system based on a detachable scintillation screen, and belongs to the technical field of X-ray imaging. The system comprises a base, a first / second rotating seat, a scintillation screen assembly, an objective table, a prism assembly, a protection module and a control module, wherein the scintillation screen assembly supports rapid switching between a flexible scintillation screen and a non-flexible scintillation screen and has a multidirectional position adjusting function, and the objective table lifting mechanism and an adjusting structure of the prism assembly jointly guarantee that the centers of the X-ray source, the sample to be tested, the scintillation screen and the prism are coaxially aligned. The protection module constructs a full-dimension radiation protection and state early warning system through a lead housing, a lead glass observation window, a radiation detection module and a tricolor lamp, operation safety is effectively guaranteed, and the control module comprises a master control system and an external touch screen and can achieve parameter presetting, intelligent regulation and control and detection data storage. The system can flexibly switch a static three-dimensional imaging mode and a dynamic rotary imaging mode, and can adapt to regular and special-shaped sample detection; and by replacing the scintillation screen, the performance of different scintillation screens can be conveniently detected. The system is convenient to operate and high in safety, and meets the multi-angle X-ray imaging requirements in the fields of industrial quality inspection and scientific research.

The invention discloses a GIS latent defect diagnosis method and system based on multi-source signal fusion, and belongs to the field of power equipment fault diagnos.The method comprises the steps that a UWB sensor is adopted to monitor PD signals in a GIS, real-time filtering and spectral analysis are conducted on the signals in combination with an FPGA preprocessing chip, and the sampling sensitivity is dynamically adjusted according to the PD signal strength; gIS internal ultrasonic source three-dimensional imaging is realized by adopting a three-dimensional ultrasonic array; pD and ultrasonic signals are processed based on wavelet transform, PD and ultrasonic data are processed based on CNN, and a signal time sequence is processed by LSTM; constructing a GIS fault knowledge graph, setting expert rules, and calculating a GIS fault occurrence probability by adopting Bayesian reasoning; and predicting a GIS fault evolution path according to the Markov chain model, and performing dynamic adjustment in combination with reinforcement learning. According to the method, the fault state transition model of the GIS equipment is established based on the Markov chain, the evolution probability between different fault states is quantified, long-term steady-state fault risk assessment is provided, and the operation health condition of the GIS equipment can be prejudged.

The invention relates to the technical field of defect detection imaging, and discloses a high-precision three-dimensional imaging method and system based on continuous magnetic flux leakage data. Collecting surface magnetic flux leakage signals of a measured target to form an initial signal set, and extracting feature vectors by using a convolutional neural network model; separating three-dimensional space data, and obtaining initial three-dimensional position coordinates of the defect through an iterative mapping algorithm; mining spatial geometric features, determining potential geometric boundaries, and fusing data to construct a refined position model; extracting a detection subset, correcting a shape error, constructing a space reconstruction grid, filling holes, and obtaining a complete three-dimensional shape representation; and through precision calibration and signal matching verification, a high-precision three-dimensional image is output. According to the method, the defect positioning and shape reconstruction precision can be effectively improved, the imaging integrity and accuracy are guaranteed, the problems of fuzzy positioning and shape distortion of traditional magnetic flux leakage imaging are solved, and the defect detection requirements of a complex detected target are met.

Approaches are described for facilitating remote ophthalmic examinations using three-dimensional (3D) imaging and mixed reality technology. A system obtains real-time or stored 3D data of a patient's eye, capturing detailed anatomical structures. The system analyzes the 3D data to identify specific regions of the eye, such as the cornea or retina, and retrieves corresponding diagnostic data and patient-specific clinical information. The 3D data, diagnostic metrics, and clinical records are integrated to generate an interactive visualization, which is presented through a mixed reality interface. The system allows healthcare professionals to manipulate diagnostic overlays, investigate flagged abnormalities, and adjust the visualization using gesture-based inputs. Machine learning models may be applied to detect potential abnormalities in the eye, while the system also determines stages of the examination based on changes in the anatomical structure of the eye.

The invention relates to a two-dimensional staggered array MIMO (Multiple Input Multiple Output) radar system for monitoring dynamic deformation of a bridge, which realizes decoupling of spatial resolution and time resolution by adopting a two-dimensional staggered array MIMO radar hardware architecture and replacing traditional mobile synthetic aperture with static virtual aperture synthesis through integrated design. According to the system, a continuous virtual area array is synthesized through transmitting and receiving arrays which are in non-uniform sparse arrangement, and high-resolution three-dimensional imaging of a bridge monitoring area is realized in combination with an FMCW signal processing and near-field three-dimensional imaging algorithm; and carrying out pixel-level processing on the serialized three-dimensional complex image by using a rapid time sequence interference and deformation extraction module to obtain a high-precision deformation sequence. The method does not need a mechanical scanning part, has the advantages of high environmental robustness, low hardware cost, flexible deployment and the like, and can provide panoramic and high-precision four-dimensional dynamic deformation field data for bridge structure state evaluation.

The invention belongs to the technical field of traffic detection, and particularly relates to a roadside traffic monitoring method and system based on a single millimeter-wave radar, and the system comprises a data collection module, a millimeter-wave point cloud extraction and enhancement module, a traffic flow statistics module, a vehicle speed estimation module, and a three-dimensional imaging module. By means of the characteristics of all weather, strong anti-interference capability, no need of illumination, non-contact perception and the like of millimeter wave signals, the system can still stably operate in foggy days, nights and complex traffic environments, and the application scene is wider. The influence of shielding between vehicles is effectively relieved by introducing a space-time diversity mechanism, an anchor point type speed measurement method is proposed, the imaging resolution is considered while the speed measurement precision is ensured, and high-precision three-dimensional reconstruction is realized by combining an efficient imaging optimization model and an enhanced representation and structure guiding strategy. Multi-dimensional road traffic perception data can be formed by acquiring the number of vehicles, the running speed of the vehicles and the three-dimensional imaging information of the vehicles, so that basic data support is provided for an intelligent traffic system.

The application discloses a ground penetrating radar three-dimensional imaging display method and radar. The method comprises the following steps: making the antenna move at a constant speed in a straight line, and transmitting a pulse to the ground at each distance node; receiving the pulse reflected by the ground features to form a return signal; weighting and averaging a plurality of return signals of the same ground feature at the same distance node to form a new return signal; arranging the new return signal in time sequence to form a radar scanning data matrix; performing Fourier transform on the radar scanning data matrix to obtain a frequency spectrum; performing frequency domain filtering processing on the frequency spectrum; performing inverse Fourier transform on the filtered frequency spectrum to obtain a processed radar scanning data matrix; and synthesizing the processed radar scanning data matrix to obtain a three-dimensional display of the ground features, so that the return signal corresponding to the ground features is more prominent, the calculation amount of data filtering is greatly reduced, and the speed and accuracy of the three-dimensional imaging display are improved.

The invention discloses a three-dimensional imaging detection integrated device and method for a carbon deuterium pellet, and belongs to the technical field of optical precision measurement and nondestructive testing. The device comprises an illumination mechanism, a light source mechanism and a control mechanism, wherein the illumination mechanism adopts an addressable LED array to provide multi-angle illumination; the imaging mechanism is a 4f microscopic system and is used for collecting images; the sample control mechanism is used for realizing automatic posture adjustment and transmission of the pellets; and the control mechanism coordinates all the modules to complete automatic detection. The method comprises the steps that an image sequence is collected, complex amplitude projection is recovered through a Fourier lamination imaging algorithm, and based on a tomography inversion algorithm, the surface point cloud radius is calculated and compared with a standard value, and the defect is automatically identified and marked. According to the invention, automatic, quantitative and high-resolution three-dimensional imaging and evaluation of the morphology and internal defects of the pellet are realized, and a stable and efficient measurement platform is provided for scientific research and industrial application.

The invention discloses a DMD dynamic area activation three-dimensional imaging system based on camera visual positioning, and relates to the technical field of optics. Aiming at the problems of low activation efficiency, poor light spot adaptability and insufficient dynamic scene adaptation of an existing system DMD full panel, the position and the size of a laser light spot on a DMD panel are captured in real time through camera visual positioning, a micro-mirror area just surrounding the light spot is dynamically activated through image preprocessing, boundary extraction and coordinate mapping, and the laser light spot is accurately activated. A matched measurement matrix is generated according to the size of the activation area and is loaded to the DMD to realize spatial coded modulation, a single-pixel detector synchronously acquires modulation signals, a phase difference is calculated in combination with a four-step phase shift method, and a three-dimensional depth map is reconstructed. According to the method, DMD full panel activation is not needed, the micromirror utilization rate and imaging efficiency are remarkably improved, meanwhile, the three-dimensional imaging precision is guaranteed, and the method is suitable for industrial part detection, small and medium-sized target modeling and other scenes.

Array single photon detection and two-dimensional camera common path fusion device and pixel matching method belong to the field of optical precision measurement. The array single photon detection and two-dimensional camera common path fusion device comprises a signal generator, a laser, an emitting optical system, a receiving optical system, a dichroic mirror, a two-dimensional camera, an array single photon detector, an array single photon counter and a data acquisition and processing fusion module. The method of the present application is as follows: the array single photon detection waveband pulsed laser and the two-dimensional camera sensing waveband ambient light returned by the target object are separated by using a common receiving optical path and a dichroic mirror to determine the pixel size and the number of the array single photon detector and the two-dimensional camera; the transmission light offset d is calculated according to the thickness of the dichroic mirror; the transmission light offset d is used as a correction factor to realize the pixel matching of the array single photon detection three-dimensional imaging and the two-dimensional camera image; the array single photon detection three-dimensional image and the two-dimensional camera image are superimposed, and the high resolution of the two-dimensional image is used to enrich the three-dimensional point cloud imaging information.

A method for determining a spinal treatment protocol for a patient in real time is provided, the method including selecting a three-dimensional imaging and processing system; the three-dimensional imaging and processing system identifying bony landmarks including the patient's head and shoulders; the three-dimensional imaging and processing system determining an edge of each shoulder; determining positions of the bony landmarks while tilting and rotating at least one of the patient's head and shoulders to provide an output; and the three-dimensional imaging and processing system processing the output to provide the spinal treatment protocol.

The invention discloses a thyroid cancer and lymph node accurate positioning system based on three-dimensional imaging, which relates to the technical field of medical image modeling, and comprises the following steps: acquiring two-dimensional images of a cross section and a coronal plane, preprocessing the acquired two-dimensional images, extracting image features of the preprocessed two-dimensional images, and constructing a three-dimensional model based on the image features. Evaluating and adjusting the constructed three-dimensional model, displaying the adjusted three-dimensional model by using a visual tool and providing an interaction tool, generating an electronic diagnosis report based on a three-dimensional model positioning result, storing the generated electronic diagnosis report to a hospital internal database, and performing encryption measures on the access authority of the hospital internal database. According to the thyroid gland and lymph gland positioning method, feature processing is performed based on the preprocessed image, the three-dimensional model is constructed based on the feature processing result, and the adjusted three-dimensional model is displayed by using the visual tool, so that the accuracy of thyroid gland and lymph gland positioning is improved, and the complexity of an operation and the risk of lymph gland omission are reduced.

This invention relates to a three-dimensional imaging device for the pipe wall of a transmission tower base and a method for assessing its corrosion status, belonging to the field of non-destructive testing technology. The method includes: S1: Rotating the ultrasonic array probe in the three-dimensional imaging device horizontally around the tower base to obtain the longitudinal thickness information of the pipe wall; S2: Constructing the external contour of the pipe wall based on the angle information and horizontal radial data of the ultrasonic array probe; S3: Constructing the internal contour of the pipe wall based on the angle information and pipe wall thickness information of the ultrasonic array probe, combined with the external contour information; S4: Confirming suspected corrosion points in the internal contour of the pipe wall using multi-angle acoustic beams; S5: Constructing a three-dimensional imaging result of the tower pipe wall based on the obtained internal and external contours; or assessing the mechanical strength of the pipe wall and the degree of corrosion of the inner pipe wall based on the three-dimensional imaging result. This invention breaks through the traditional detection dimensions, achieving high-precision, high-definition, and visualized three-dimensional refined assessment.

A single Geiger avalanche photodiode pixel interconnected with a readout circuit is decomposed to form M * M parallel pixel structures, the M * M parallel pixel structures are connected to a single pixel input stage of the readout circuit, and the time complementation relation between pixel avalanche events is utilized to enlarge the pixel avalanche events. The detection probability of the array single-photon detector pixel is improved, the photon detection dynamic range is expanded, the upper limit of the pixel photon saturation counting rate of the array single-photon detector can be remarkably improved, and the method is applied to the fields of high-dynamic-range laser three-dimensional imaging, space laser communication and the like.

The invention discloses an X-ray and NeRF algorithm-based luneberg lens internal structure analysis method, and relates to the technical field of three-dimensional imaging of optical lenses, and the method comprises the following implementation steps: S1, configuring an RGB-X-ray combined imaging system, and carrying out data acquisition, and S2, carrying out the calibration of external parameters of a camera through a calibration plate: carrying out the imaging through a specially-made calibration plate, and carrying out the calibration of the external parameters of the camera through the calibration plate. The method comprises the following steps: acquiring a plurality of frames of RGB (Red, Green, Blue) images to obtain external parameters of an RGB camera under a calibration plate coordinate system, acquiring a plurality of frames of X-ray images to obtain an external parameter matrix of an X-ray camera about the calibration plate coordinate system, performing implicit representation on a continuous field in a lens by utilizing NeRF, mapping three-dimensional coordinates to differentiable density and radiation values, and calculating the calibration plate coordinate system. According to the method, high-fidelity reconstruction from multi-angle X-ray projection to a three-dimensional structure is achieved, detail information in the lens can be effectively reserved, meanwhile, the continuity and symmetry of the structure are guaranteed, and compared with a traditional voxelization or CT reconstruction method, the problems that noise artifacts, fractures and unstable numerical values are likely to be generated in the traditional voxelization method are solved.

The invention relates to the technical field of computer-aided surgery, and discloses an operation navigation method, device and equipment based on spatial positioning and imaging and a medium, and the method comprises the following steps: establishing registration mapping of a spatial positioning coordinate system and an imaging coordinate system, and obtaining three-dimensional imaging data of a target area and the position and posture of a target instrument; the position of the target instrument is converted to an imaging coordinate system to generate target instrument position data, the data and the three-dimensional imaging data are fused to form three-dimensional navigation data, an entry point and a target point are selected through an interface to generate an operation path, a three-dimensional navigation view is generated to display the imaging data, the operation path and a target instrument position mark in an overlapping mode, and the operation path is displayed. Continuously acquiring the position data of the target instrument, and generating and outputting prompt information according to the position relationship between the position data and the operation path. By fusing the position data of the target instrument and the three-dimensional imaging data, real-time registration of spatial positioning and imaging is realized, an operation path and prompt information are dynamically generated, and the precision and real-time performance of navigation guidance are improved.

The invention discloses a micro-lens array non-scanning type laser interference three-dimensional imaging method and device for a dynamic sample, and relates to the technical field of optical three-dimensional measurement and imaging, and the method comprises the steps: dividing laser into object light and reference light; irradiating a dynamic sample arranged at the focal plane of the micro-lens array with the object light after beam expansion, modulating the object light carrying sample information by the micro-lens array, and combining the modulated object light with the reference light in space to generate a composite interference field containing a plurality of sub-region interference patterns; recording a single-frame composite interferogram by an area array detector; and finally, reconstructing the three-dimensional morphology of the sample at the measurement moment through a phase extraction and unwrapping algorithm. By means of the mode, full-view-field three-dimensional information can be obtained through single exposure by means of the microlens array, mechanical scanning or multi-frame phase shifting is not needed, the problem of motion artifacts generated when a dynamic sample is measured through a traditional interference method is effectively solved, and high-speed and high-resolution three-dimensional imaging of the surface appearance of the dynamically-changed sample is achieved.

The invention discloses a multilayer imaging method for terahertz near-field system tomography, and belongs to the technical field of terahertz near-field imaging. Aiming at the problem that internal depth quantitative calibration is difficult to realize in existing terahertz near-field three-dimensional imaging, the method proposes that a signal with deepest internal imaging is determined through primary scanning, then multiple data processing is carried out through secondary or multiple scanning, bias voltages of different acquired signals are respectively adjusted under the same magnification times, and the internal depth quantitative calibration is realized in the terahertz near-field three-dimensional imaging. The offset values are arranged in an arithmetic progression, thereby obtaining imaging data representing different linear depths. According to the method, multilayer imaging of internal depth calibration can be realized, a three-dimensional tomographic image with quantitative depth information is formed, and the method is suitable for observation of internal structures of biological cells and nondestructive testing of internal defects of materials.

The invention relates to the technical field of poultry determination, and provides a vertebra body size character determination method and device.The method comprises the steps that a three-dimensional CT image of poultry is obtained, and the three-dimensional CT image is segmented into a plurality of two-dimensional cross section images along the Z axis; wherein each two-dimensional cross section image is divided into a corresponding Z-axis index number; for each two-dimensional cross section image, obtaining a target two-dimensional cross section image marked with a target vertebra detection frame by using a target vertebra detection model; and determining the body size character of a target vertebra according to the target vertebra detection frame and the Z-axis index number of the target two-dimensional cross section image. According to the method, through combination of three-dimensional CT imaging layering processing and the Z-axis index number, accurate association between the two-dimensional image and the three-dimensional space position is established, and through combination of accurate positioning of the target vertebra detection model, the accuracy of vertebra body size character measurement of a lossless living body is improved.

This application discloses a 3D imaging method and system based on structured light phase measurement, relating to the field of 3D imaging technology. The method includes: calibrating a structured light measurement system to obtain intrinsic and extrinsic parameters, and determining the effective measurement depth range and the corresponding effective absolute phase interval; controlling a projector to project a preset sinusoidal fringe pattern onto the measured scene, acquiring a deformed fringe image modulated by the surface of the measured object, and obtaining a wrapping phase map; calculating the initial fringe order of each pixel based on the effective measurement depth range using a frequency domain order-based fringe order no-neighborhood solution algorithm; performing no-neighborhood verification and error correction on the initial fringe order based on the effective absolute phase interval using an order self-verification and error correction algorithm to obtain the final fringe order; and calculating the absolute phase map of the entire field of view based on the wrapping phase map and the final fringe order, and converting the point cloud data. This application aims to solve the technical problem of existing spatial phase unfolding techniques relying on the continuity of adjacent pixels.