763 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 laser energy threshold millisecond-level dynamic matching method for multi-metal fuse manufacturing, and the method comprises the steps: pre-storing a multi-metal thermophysical parameter model, calibrating a thermal signal in real time through Kalman filtering, and carrying out the online correction of a melting threshold key parameter during the switching of a material; millisecond-level thermal feedback closed-loop control is achieved through the high-frame-rate thermal imaging technology, and the laser power accurately follows the corrected melting threshold value; meanwhile, a three-dimensional imaging and deep learning segmentation algorithm is adopted, geometric information of a welding wire and a molten pool is obtained, the position and the diameter of a light spot are adjusted in real time through an adjustable optical system after the offset is calculated, and millimeter-level space registration closed-loop control is achieved; the two closed-loop systems cooperatively operate according to respective control periods, and precise dynamic matching of laser heat input in a time domain and a space domain is achieved. The problem that the adaptability of a traditional process is insufficient during multi-metal switching and complex geometric change is solved, and the forming quality, the process stability and the efficiency of manufacturing are remarkably improved.

The invention relates to the field of traditional Chinese medicine diagnosis, and discloses a traditional Chinese medicine intelligent diagnosis system based on multi-source data fusion and an AI technology, and the system comprises a tongue picture collection and classification unit which is used for collecting tongue picture data of a patient through imaging equipment, carrying out the feature extraction of the tongue picture data, and obtaining a tongue picture feature data set; performing tongue picture pathological mode classification on the tongue picture feature data set based on a deep convolutional neural network to obtain tongue diagnosis identification result data; and the face diagnosis feature correlation analysis unit is used for inputting the tongue diagnosis identification result data into a multi-modal data fusion engine and carrying out face diagnosis pathological feature correlation analysis based on a graph attention network to obtain face diagnosis identification result data. The deep semantic understanding is realized by introducing a plurality of data acquisition modes such as three-dimensional imaging, thermal imaging, micro-expression recognition, spectral information and pulse condition harmonic analysis and combining advanced models such as a graph neural network, U-Net and Bi-LSTM.

The invention belongs to the technical field of image processing, and mainly relates to a teenager scoliosis detection method based on three-dimensional imaging, and the method comprises the steps: obtaining multi-modal data such as a back depth map, temperature distribution, an attitude angle and a plantar pressure matrix of a detected person through a depth camera, an infrared imaging device, an I MU sensor and a plantar pressure distribution sensor; the cloud platform generates a three-dimensional point cloud and obtains a back three-dimensional curved surface model by adopting a Poisson surface reconstruction algorithm, overall attitude correction is carried out by combining an attitude angle and pressure gravity center shift, and a thermal correction model of local deformation is constructed based on a thermodynamic diagram; automatically identifying spine segment mark points through a deep learning algorithm, fitting a spine center line, calculating a Cobb angle, judging the scoliosis degree and outputting an analysis report; according to the method, X-ray imaging is not needed, the detection safety is high, attitude, mechanical and thermal information can be fused, artificial attitude interference is reduced, and the method is suitable for early screening and dynamic reexamination of teenagers.

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 discloses a power storage performance attenuation and variation detection method for an energy storage battery, and relates to the field of energy storage batteries. The method comprises the following steps: deploying a terahertz time-domain spectroscopy system and a microphone array on the surface of the energy storage battery, based on a terahertz time-domain spectroscopy system and a microphone array, acquiring a three-dimensional imaging map and a voiceprint signal of the energy storage battery at the beginning stage of charging the energy storage battery each time; creating a cloud database, and storing the three-dimensional imaging map and the voiceprint signal of the energy storage battery by using the cloud database; according to the method, terahertz time-domain spectrum three-dimensional imaging and voiceprint signal bimodal data are fused, battery global information acquisition is realized through distributed array scanning and matrix deployment, and a multi-dimensional attenuation evaluation model is constructed by combining dynamic storage and comparative analysis of a cloud database, so that the accuracy of battery attenuation evaluation is improved. A dynamic weight adjustment mechanism and ontology state information correction are introduced, so that the attenuation index estimation precision is remarkably improved.

The invention discloses a single-frame three-dimensional imaging method based on multi-frequency RGB (red, green and blue) stripe compression. According to the method, three groups of structured light stripe patterns with relatively prime frequencies and different directions are respectively embedded into RGB channels by utilizing channel characteristics of a color camera, the patterns are switched at a high speed by a projector, dynamic superposition is completed within single-frame exposure time of the camera, space compression acquisition of time domain information is realized, and a color superposition image fused with multiple pieces of time slice information is obtained. According to the invention, a multi-stage deep neural network architecture is designed to realize separation of fringe images of a color superposition image at different moments, phase information is accurately extracted from the decomposed fringe images, and finally unambiguous high-speed three-dimensional imaging in dynamic scenes at different moments is realized. According to the method, the time resolution of three-dimensional imaging can be remarkably improved without improving the frame rate of the camera, meanwhile, the space precision and the system stability are considered, and good universality and expandability are achieved.

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.

Method and device(s) for provision of a pair of real world and image sensor correspondence points for use in calibration of an imaging system (405) for three dimensional imaging based on light triangulation. Said real world point (514-1; 529-1) being provided (801) as a first virtual intersection between a first real world line (512a; 527a) and a second real world line (512b; 527b). Said image sensor point (544-1; 554-1) being provided (802) as a second virtual intersection between a first image line (542a; 552a) and a second image line (542b; 552b). A first image (540a; 550a) by the imaging system comprises captured light that images the first real world line (512a; 527a) and a second image (540b; 550b) by the imaging system comprises captured light that images the second real world line (512b; 527b). The first image line (542a; 552a) corresponds to positions of intensity peaks of said captured light in the first image (540a; 550a) and the second image line (542b; 552b) corresponds to positions of intensity peaks of said captured light in the second image (540b; 550b).

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

The invention discloses a femtosecond laser three-dimensional pumping detection imaging method, which belongs to the technical field of ultrafast laser observation, and particularly comprises the following steps of: generating a laser pulse by using an ultrashort pulse laser, splitting the laser pulse by using a beam splitter to generate two beams of pulse light, namely pumping light and detection light, ablating a material by using the pumping light as an excitation source, reflection or transmission imaging is realized at different moments after the probe light passes through the time delay table; a detection angle is freely adjusted in space around a sample to be detected by rotating the light path propagation system, and a detection mode is switched between a reflection mode and a detection mode by rotating the imaging system; a multi-angle two-dimensional transient image is fused into a three-dimensional graph, plasma and a double-temperature model are expanded, the electronic dynamic characteristics of three-dimensional space distribution and the plasma eruption process can be calculated in an ultrafast scale, and three-dimensional information of a femtosecond laser ablation material is reduced. The problem that an existing imaging method cannot achieve three-dimensional imaging of the femtosecond laser processing ultrafast process at any angle in the space is solved.

The invention discloses a bimodal real-time three-dimensional imaging method based on an LED light source, which is applied to a bimodal real-time three-dimensional imaging system based on the LED light source, and comprises the following steps: step 1, calibrating a calibration plate on an ultrasonic transducer, and obtaining a transformation matrix from a two-dimensional image coordinate system to a calibration plate coordinate system; step 2, moving an ultrasonic transducer to scan an imaging target, synchronously acquiring and reconstructing a two-dimensional ultrasonic image and a two-dimensional photoacoustic image, and tracking and recording pose information of the calibration plate in real time in an optical positioning mode, namely a transformation matrix from a calibration plate coordinate system to a camera coordinate system; step 3, based on the transformation matrix, mapping a two-dimensional ultrasonic imaging result and a two-dimensional photoacoustic imaging result obtained in real time to the same three-dimensional space through coordinate transformation; and 4, respectively adjusting the color and transparency parameters of the ultrasonic and opto-acoustic two modal images, fusing and rendering in real time, and displaying the bimodal three-dimensional image.

The invention discloses an ultrafast three-dimensional wave number domain imaging method based on a row-column addressing ultrasonic array, which realizes ultrafast three-dimensional ultrasonic volume imaging by combining wave number domain image reconstruction based on row-column addressing (RCA) ultrasonic array probe data acquisition. According to the method, the three-dimensional volume imaging capability and channel number advantages of an RCA ultrasonic array probe and fewer emission times of plane wave imaging (PWI) are utilized, so that the volume acquisition rate is increased, and the data volume is reduced; according to the method, wave number domain image reconstruction is executed, rapid reconstruction of three-dimensional volume data can be realized by utilizing the calculation efficiency of fast Fourier transform, and the three-dimensional imaging requirements of high resolution and high frame rate are met. Compared with a time domain delay superposition algorithm, the method has remarkable technical advantages and is expected to be popularized and applied to medical and industrial detection scenes needing real-time three-dimensional volume imaging.

The invention discloses a human body peripheral blood vessel photoacoustic three-dimensional imaging device and an imaging method thereof, and belongs to the field of blood vessel imaging. Through high resolution and functional monitoring capability of photoacoustic imaging, detailed blood vessel structure and blood flow dynamic information are provided, and early recognition and treatment effect evaluation of common lesions such as diabetic foot and peripheral artery diseases are promoted; meanwhile, a mechanical system is adopted, so that the detection front end with relatively high quality can be borne, and stable operation is realized, and a relatively good photoacoustic imaging result is obtained; the system has a highly stable accurate scanning imaging mode, and is convenient for multiple imaging modes of clinical application; through the arrangement of the imaging water tank and the lifting structure of the imaging water tank, switching of imaging modes in a limited space can be ensured, so that the device can be suitable for the layout of a portal type three-dimensional moving device. The system is expected to promote the portability of equipment, reduce the research and development cost of the equipment, be widely applied to clinical practice and community medical treatment, and improve the disease management level.

The invention discloses an underwater high-speed three-dimensional measurement method based on stripe structured light, and relates to the technical field of underwater optical three-dimensional imaging, in an underwater operation scene of an FPP system, projecting a three-step phase shift sine stripe and a Gray code pattern to an object to be measured, and respectively calculating a wrapped phase 1, a wrapped phase 2 and an auxiliary order phase; analyzing the light intensity information received by the camera, and carrying out water body influence analysis in combination with an underwater light transmission model; the initial wrapped phase divides the order phase into a stable region and a non-stable region, the stable region is combined with the wrapped phase 1 to calculate a preliminary absolute phase, and the non-stable region is combined with the wrapped phase 2 to calculate an absolute phase through an island processing method. According to the method, a phase bisection complementary decoding strategy is adopted, a jump error region in an order phase is effectively identified and corrected by constructing complementary wrapped phase information, a wrong order phase is corrected by using a noise correction algorithm, and the measurement stability in a dynamic scene is remarkably improved.

The invention discloses a multi-band transient electromagnetic self-adaptive scanning dam leakage channel three-dimensional imaging method. The method comprises the following steps: arranging a plurality of detection nodes on the surface of a dam; the central control unit sends a scanning instruction to the detection node; the detection node scans the dam and uploads the data to the central control unit; and after the data is uploaded, the central control unit calculates an underground three-dimensional resistivity data volume through an inversion algorithm and performs rendering imaging. According to the invention, through combination of multi-band detection and intelligent adaptive scanning, efficient and accurate dam leakage channel three-dimensional visual identification is realized, and the defects of low efficiency, single detection dimension and rigid scanning strategy of a traditional method are effectively overcome.

The present invention relates to a lidar system including: laser transmitter and receiver systems, the laser transmitter system including: a wavelength-tunable seed laser which emits pulses at selected wavelength points, and switches between wavelengths within a switching time of <200 ns; a fiber amplifier which amplifies the laser pulses up to 200 kW to a transmitter grating; and a transmitter telescope including primary and secondary mirrors. The laser beam is directed from the transmitter grating to the secondary then primary mirrors, and the first transmitter grating is imaged on the primary mirror to minimize laser beam wander thereon. The transmitter grating diffracts and steers the laser beam by wavelength to a surface, to an arbitrary subset of <2000 resolvable footprints along a cross-track direction at a beam pointing angle switching time of <200 ns, such that footprints illuminated by the laser beam on the surface are imaged in 3D.

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 weld bead morphological feature recognition method and device, electronic equipment and a storage medium. The method comprises the steps that an imaging result of a workpiece to be welded is collected through three-dimensional imaging equipment, and the imaging result comprises point cloud data and image data of the workpiece; abstracting the point cloud data and the image data to obtain target geometric elements of the workpiece, and determining a spatial position relationship among the target geometric elements based on the point cloud data; building a weld bead model of the workpiece based on the target geometric element and the spatial position relation; and identifying target weld bead morphological characteristics of the workpiece based on the weld bead model. Therefore, according to the scheme, the weld bead model is constructed, and the target weld bead morphological characteristics of the weld bead are identified according to the weld bead model, so that accurate design and optimization of the welding process can be realized, the welding efficiency can be remarkably improved, and the welding cost can be reduced.

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 provides a two-dimensional region-of-interest driven three-dimensional image navigation control method and system, and the method comprises the steps: obtaining at least two two-dimensional images collected under different poses, and selecting a region of interest on the two-dimensional images; mapping a region of interest on the two-dimensional image into a three-dimensional imaging space to obtain a first region pose of the region of interest in the three-dimensional imaging space, and calculating a three-dimensional target region including the region of interest according to the first region pose; and controlling the three-dimensional image equipment to move so as to enable the imaging center of the three-dimensional image equipment to coincide with the center of the three-dimensional target area. The accuracy of three-dimensional imaging is improved, the radiation dose borne by a patient is reduced, waste films caused by inaccurate shooting positions are avoided, the operation duration is shortened, the operation efficiency is greatly improved, a doctor only needs to check the interested area on the two-dimensional image, the device can be automatically guided to move to the corresponding position, and the operation efficiency is greatly improved. And the intelligent degree and the reliability of the three-dimensional image equipment are improved to a great extent.

It is disclosed a method processing imaging data of a patient having cancer, for instance lymphoma, comprising:—Providing three-dimensional imaging data of the patient,—computing from said three-dimensional imaging data, at least one two-dimensional Maximum Intensity Projection image. corresponding to the projection of the maximum intensity of the three-dimensional imaging data along one direction onto one plane,—extracting a mask of the MIP image corresponding to cancerous lesions by application of a trained model. Using the extracted mask it is possible to compute one or more cancer prognosis indicators.

According to the oil and gas pipeline defect three-dimensional imaging method and system based on magnetic flux leakage detection, original data are converted into magnetic field intensity units with physical significance, physical coordinates are calculated, meanwhile, an automatic defect detection and merging algorithm is adopted, abnormal areas can be accurately recognized, and independent defect marks can be formed. In the detection process, through an overall three-dimensional view, a defect thermodynamic diagram and three-dimensional imaging of a specific defect area, the position, form and magnetic field signal characteristics of the defect can be visually displayed, the defect size can be further quantified in combination with a defect three-dimensional inversion function, and a reliable basis is provided for accurate evaluation and maintenance of oil and gas pipeline defects.

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 the technical field of millimeter wave near-field imaging, in particular to a near-field imaging method for a sparse MIMO array cylindrical scanning SAR system, and the method comprises the steps: dividing a complete comprehensive array of the SAR system into a plurality of sub-arrays, selecting local echo data corresponding to the plurality of sub-arrays from complete echo data, and calculating the local echo data of each first-stage sub-array in (u, v, v); according to the method, a uniform sampling grid with a uniform sampling rate in an (x, y, z) coordinate system is obtained, the uniform sampling grid is converted into a first-level non-uniform sampling grid in the (x, y, z) coordinate system, a first-level sub-image is reconstructed in the first-level non-uniform sampling grid based on local echo data, and a pairwise coherent superposition process is iteratively executed; and obtaining a three-dimensional imaging result of the target linear sparse MIMO array cylindrical scanning SAR system. According to the invention, the calculation complexity of imaging can be effectively reduced, and accurate and efficient near-field three-dimensional imaging of an arbitrary linear sparse MIMO array cylindrical scanning SAR system is realized.

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 real-time video positioning method based on ferromagnetic substance magnetic field signal three-dimensional imaging simulation, and relates to the field of ferromagnetic substance detection in a medical scene nuclear magnetic resonance room, and the method comprises the steps: carrying out the segmentation fitting of a magnetic field gradient through employing a B-spline basis function; performing omni-directional calibration on the array through a rotating platform, and establishing a nonlinear mapping matrix of sensor output and real magnetic field intensity; extracting target shape features; performing optical flow estimation on the video frame, and compensating magnetic field measurement delay caused by target motion; establishing an incidence matrix of the target state vector and the measured value; reconstructing the three-dimensional space distribution of the ferromagnetic substance through an inversion method based on a perspective transformation model; and fusing the three-dimensional imaging result with the real-time video. Magnetic field measurement delay caused by target motion is compensated by performing optical flow estimation on a video frame, and a state estimation convergence speed is improved by estimating a multi-mode parallel state.

The invention provides a medicine package defect detection system based on machine vision, relates to the technical field of defect detection, and realizes accurate reduction of the surface morphology of a medicine package through a high-precision three-dimensional imaging technology based on structured light coding in combination with multi-angle parallax reconstruction and multi-channel disturbance analysis. And on the basis, a depth gradient difference graph and a disturbance graph are constructed to effectively capture tiny abnormal characteristics such as sunken defects and structural disturbance, so that the sensing capability of the system on fine-grained defects is improved. By constructing a redundant block analysis mechanism, when a two-dimensional code area is shielded or damaged, content restoration and logic verification can still be performed by using a cross-frame redundant structure, so that the risk of misjudgment caused by decoding failure of the two-dimensional code is effectively reduced, and the robustness of the system in various interference scenes is improved.