1039 results about "Three dimensional imaging" patented technology

The invention belongs to the technical field of three-dimensional imaging and measurement, and particularly discloses a laser scanning three-dimensional imaging method and device, a medium and equipment, and the method comprises the steps: obtaining laser scanning data of a target object, and the laser scanning data comprises depth data including reflection intensity, a scanning angle, a timestamp and flight time; preprocessing the laser scanning data, and fusing a time sequence and scanning path information to obtain multi-channel input features adaptive to a neural network; constructing a three-dimensional geometric reconstruction model, and training the model; inputting the multi-channel input features into a trained three-dimensional geometric reconstruction model to obtain a dual-channel output tensor containing a dense depth map of the target object and a corresponding uncertainty map; converting the dual-channel output tensor comprising the dense depth map of the target object and the corresponding uncertainty map into a three-dimensional point cloud under world coordinates; and post-processing the three-dimensional point cloud to obtain a three-dimensional image of the target object.

The invention relates to a fire prevention and control smart network method and system based on Beidou satellite navigation. The method comprises the following steps: firstly, acquiring real-time operation data of fire-fighting equipment in a building, and scanning a building structure through a three-dimensional imaging device to generate a three-dimensional digital model; secondly, fusing the real-time operation data, the three-dimensional digital model and preset environment parameters to form a fire prevention and control reference data set; thirdly, carrying out multi-dimensional data comparison on the reference data set based on a preset fire-fighting standard program, and generating an alarm signal with spatial positioning information; then, determining a fire-fighting facility failure area according to the alarm signal, and calculating a fire risk diffusion parameter; and finally, generating a grading early warning instruction according to the risk diffusion parameters, and constructing an electronic combat map containing the optimal rescue path. The method provides global and accurate basic data support for fire prevention and control, improves the timeliness and accuracy of early warning, optimizes the rescue path, and improves the fire disposal efficiency.

An in-situ fretting corrosion fatigue testing machine based on synchrotron radiation diffraction and three-dimensional (3D) imaging includes an axial fatigue loading system, a fretting loading system, and a corrosion environment control system, where the axial fatigue loading system includes a driving device, a load control device, and a load sensing device; the load sensing device is configured to measure an axial force and a normal force in real time; the driving device is configured to drive the load control device, thereby achieving axial displacement of the load control device; the load control device is configured to carry out axial fatigue loading of a specimen; and the fretting loading system includes a fretting wear device. The testing machine achieves real-time 3D imaging characterization of wear spot and crack morphology of a material in a fretting corrosion environment, as well as characterization of a residual stress evolution law.

The invention provides a real-time three-dimensional imaging system in a thoracic surgery, and relates to the field of thoracic surgery auxiliary equipment, and the system comprises a multi-modal image collection module which is used for collecting multi-source data of tissues and organs in a thoracic cavity; the data core processor is used for processing and fusing the multi-source data collected by the multi-mode image acquisition module; the three-dimensional reconstruction module is used for generating a dynamically updated submillimeter-level precision three-dimensional model according to the processed and fused multi-source data and marking a dangerous structure and a safety boundary; and the augmented reality navigation module is used for superposing the three-dimensional model on an operation visual field through a holographic head-mounted display, and realizing real-time three-dimensional visual navigation in combination with instrument tracking and a multi-stage early warning mechanism. According to the invention, radiation-free and high-precision real-time three-dimensional visual navigation can be provided, and the precision and safety in the thoracic surgery can be ensured.

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 total-space near-far field regulation and control method based on a coherent pixel super-structure surface. The method comprises the following steps: 1) constructing a nano-structure unit and a super-unit; 2) optimizing the structural parameters of the nano-structure unit according to the incident light wavelength lambda, and verifying the regulation and control effects of the super-unit I and the super-unit II; and 3) constructing a nano-structure array, wherein the nano-structure array comprises a plurality of super-units I and super-units II. Left-handed / right-handed circularly polarized light is set to be incident to the surface of the single-layer metastructure, binary nano printing of an image is achieved in a near field, and near-field nano printing intensities in a transmission space and a reflection space are complementary; different holographic patterns are respectively presented in the far-field transflective space, and the far-field transflective channels are regulated and controlled by mutually independent and continuous phases. By properly designing the single-layer nano brick, continuous and independent phase control of reflection and transmission spaces can be realized without additional equipment, far-field holographic imaging and near-field nano printing can be realized, and the single-layer nano brick can be applied to the fields of depth detection, three-dimensional imaging, optical encryption, high-resolution image storage and the like.

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 provides an underwater target three-dimensional reconstruction method and system based on a three-dimensional imaging sonar image, and the method comprises the steps: collecting the three-dimensional imaging sonar data of an underwater target, segmenting the sonar point cloud data through employing an optimized point cloud segmentation model, and extracting a specific target point cloud; and performing sparse reconstruction and dense reconstruction on the target point cloud in sequence, and finally realizing high-precision three-dimensional reconstruction of the target. The system comprises a data acquisition module, a preprocessing module, a reconstruction algorithm module and a visualization module, and is suitable for underwater target surveying, mapping and monitoring. The invention aims to solve the problem of insufficient reconstruction precision and efficiency of a traditional method in a complex underwater environment.

The invention belongs to the technical field of three-dimensional imaging, and particularly relates to a single-photon point cloud three-dimensional imaging method based on cross-modal feature fusion, and the method specifically comprises a point cloud data preprocessing algorithm which is used for converting single-photon laser radar echo data into a three-dimensional point cloud form, main body target extraction in the complex scene point cloud is realized, and calculation denoising processing is completed; a cross-modal feature fusion point cloud reconstruction network is designed, two-dimensional features are introduced multiple times in the reconstruction process, interaction with three-dimensional point cloud features is established, and incomplete point clouds and real complete point clouds are assisted to construct a mapping relation; a KNN segmentation coordinate filling algorithm is designed, point cloud vacant coordinates are calculated and complemented until the resolution of the point cloud vacant coordinates is matched with a two-dimensional infrared image, and two-dimensional image and three-dimensional point cloud pixel-level fusion imaging is achieved.

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 sensor calibration test system and a calibration test method for UUV intelligent perception, belongs to the technical field of underwater robots, and aims to solve the problems that the capability evaluation of the UUV intelligent perception system is difficult to realize, the credibility, the reliability and the accuracy are poor, and the UUV intelligent perception system cannot be fully matched with the actual application environment and cannot be optimized due to the existing underwater multi-mode comprehensive perception calibration mode. And the development and improvement of the intelligence of the UUV are directly influenced. The sensor calibration test system can simulate various motion modes of the underwater vehicle and the underwater target in navigation, so that a large number of calibration samples are formed, the three-dimensional imaging sonar, the underwater camera and the magnetometer can realize calibration of working parameters based on the underwater acousto-optic magnetic comprehensive beacon arranged on the underwater target, and the calibration precision is improved. After sensor calibration is completed, the system can be used for testing the calibration effect of the sensor, and the number of times and cost of sea test calibration are effectively reduced.

The invention relates to a single-photon laser radar three-dimensional imaging system and method. An optical fiber laser is used for actively illuminating an imaging target; the single-photon APD array detector is used for receiving a laser echo signal reflected by a target; the near-infrared detector is used for realizing aiming; the upper computer is used for parameter setting and data receiving of the optical fiber laser, the single-photon APD array detector and the near-infrared detector, receiving active laser three-dimensional imaging data in a three-dimensional imaging state and realizing real-time display of a depth image and an intensity image; and the information processing board card is used for realizing synchronous triggering of the fiber laser and the single-photon APD array detector and data communication between the upper computer and the fiber laser and the single-photon APD array detector, and realizing preprocessing and three-dimensional reconstruction of APD data based on a time correlation single-photon counting method and in combination with space-time correlation characteristics of laser echo signals. According to the invention, the problem of insufficient detection capability of a single-photon laser three-dimensional imaging method under all-weather and low-signal-to-noise-ratio conditions is solved.

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 provides a three-dimensional imaging method and device based on an endoscope and electronic equipment. The method comprises the steps that multiple sub-aperture images obtained after the same light path passes through multiple micro lenses located on the same plane are obtained; classifying the corresponding sub-aperture images into a left sub-image set and a right sub-image set according to the positions of the micro-lenses; generating a corresponding first depth image and a corresponding second depth image based on the left sub-image set and the right sub-image set respectively; and generating a target three-dimensional image according to the first depth image and the second depth image. According to the invention, a clear target three-dimensional image can be obtained based on micro-lens simulation binocular imaging.

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 belongs to the technical field of advanced detection, and provides a shield tunnel optical fiber earthquake forecasting method and system, and the method comprises the steps: obtaining the carrying position and number of seismic wave excitation seismic source equipment based on a shield tunneling machine structure type, installing a pneumatic hammering seismic source, calculating the dynamic correlation between the air pressure and the hammering force, and determining the shield air pressure range. Determining the relative spatial position of the seismic source and the optical fiber sensor, and establishing an observation mode; according to the relative spatial position and the observation mode, arranging an optical fiber sensor in a spatial range behind the shield tail of the shield tunnel, controlling a pneumatic hammering seismic source to hammer surrounding rock to generate seismic waves to obtain geological forecast data, preprocessing the obtained geological forecast data to obtain geological wave field data, and calculating the geological wave field data according to the geological wave field data. And calculating rock mass mechanical parameters, a reflection coefficient and a stress gradient of the shield excavation surface, obtaining a three-dimensional image, carrying out feature analysis, obtaining a disaster-causing structure position, a disaster-causing structure scale and an underground water occurrence condition, and completing prediction of the shield tunnel optical fiber earthquake.

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.

The invention discloses an air-ground cooperative inspection and detection system and method for highway infrastructure diseases, and relates to the technical field of road infrastructure safety monitoring. The system comprises a data acquisition module used for acquiring highway infrastructure data from different dimensions; the data processing module is used for aligning and extracting highway infrastructure data of different dimensions in time and space by using a multi-modal neural network, and fusing the extracted features in combination with a cross-modal attention mechanism and a multi-scale feature fusion strategy; and the three-dimensional imaging module is used for carrying out multi-physics field joint inversion according to the features fused by the data processing module, constructing a three-dimensional model of the highway infrastructure, and carrying out disease identification and early warning according to the three-dimensional model of the highway infrastructure. According to the invention, combined acquisition and multi-modal data cross-domain fusion processing are carried out on various devices, and comprehensive detection of shallow surface and deep structures along the highway 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 pavement hidden disease nondestructive testing method and system, and the method comprises the steps: carrying out the alignment of electromagnetic wave, sound wave and thermal field signals through a space-time synchronization algorithm for a first signal set, and integrating multi-modal data through a weighted fusion model, so as to obtain a second fusion data set; for the first feature set, if the feature value is lower than a preset threshold value, the environmental noise interference is suppressed through an adaptive filter, and a second feature set is obtained; deep disease features are extracted from the second feature set, and a generative adversarial network is adopted to perform high-resolution reconstruction on small holes and crack extension to obtain a third feature set; and for the third feature set, generating a road deep structure image by adopting a three-dimensional imaging algorithm, and determining positions and forms of small holes and crack propagation through an image segmentation technology to obtain a first disease distribution diagram. According to the invention, the accuracy and efficiency of road deep disease detection can be effectively improved.

The invention provides a self-adaptive reverse multiple exposure phase fusion technology, and relates to the field of high-dynamic-range three-dimensional reconstruction. The method includes the following steps that firstly, a saturated pixel mask matrix is obtained by judging pixels of a high-reflection area, then uniform grey-scale maps are selected step by step through a gradient adjustment method to obtain the optimal local projection intensity, and local coding and decoding are conducted on the high-reflection area through the optimal projection intensity pattern. And replacing an invalid phase value in the high-SNR image with a local phase value under the optimal projection intensity through an edge matching and phase fusion technology, and obtaining high-quality complete three-dimensional imaging information through coordinate mapping after a complete phase diagram is obtained. According to the method, the optimal projection intensity is adaptively determined through a small number of patterns, meanwhile, the high SNR of imaging patterns is guaranteed, and high-precision complete three-dimensional imaging is carried out on an HDR object. Experimental results show that in a traditional method, a large number of point clouds are lost in a saturated pixel area, the imaging integrity and the measurement precision cannot achieve the normal imaging effect, and the algorithm of the invention shows high integrity and high point cloud density in a dark area and a high-reflection area.

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 provides a three-dimensional imaging method, an imaging system and a computer readable storage medium. The three-dimensional imaging method comprises the following steps: acquiring a plurality of diffraction order images of a target object through the imaging system; calculating a parallax value between the images of different diffraction orders, and converting the parallax value into a corresponding depth value; constructing a three-dimensional point cloud image of the target object by using the depth value; the imaging system is used for obtaining the multiple diffraction order images of the target object, the multiple diffraction order images can serve as parallax images shot at different positions, the parallax values between the different diffraction order images are used for obtaining the corresponding depth values, and therefore generation of the three-dimensional point cloud image can be completed without using two cameras to shoot two images; the hardware requirement and the arrangement requirement of the imaging system are reduced, and the difficulty of three-dimensional imaging is small.

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.