58 results about "Two dimensional imaging" patented technology

A force sensor assembly for use in the field of cardiac ablation, for the ablation-based treatment of atrial fibrillation and other cardiac arrhythmias. Various embodiments of the disclosure are directed to a catheter distal force sensor for measuring catheter tip-to-endocardial wall force by measuring displacement of irradiation patterns sensed with a two-dimensional imaging sensor. The disclosed devices sense an array of irradiation pattern characteristics, including changes in size and location of irradiation shapes of the irradiation pattern. In some embodiments, multiple irradiation spots are tracked with the two-dimensional imaging sensor to infer the components of a reaction force vector acting the force sensor assembly. The disclosed force is designed to accommodate typical catheter tip dimensions, the outer diameter of these usually being less than or equal to 3 mm.

A fundus imaging device has a fixation optical system, an OCT optical system, an imaging optical system, and a controller. The controller is configured to acquire a focus evaluation value based on a slit image formed by slit-shaped illumination light on a two-dimensional imaging element of the imaging optical system in a case where an optical scanner of the imaging optical system deflects in a predetermined direction. The controller is configured to perform diopter correction control of the OCT optical system by driving a first focus adjustment unit of the OCT optical system based on the focus evaluation value.

The invention provides a cell activity detection method based on fluorescence labeling, and relates to the technical field of cell analysis. The cell activity detection method based on fluorescence labeling comprises the following steps: S1, co-incubating a cell sample to be detected with a mixed solution of propidium iodide, a JC-1 mitochondrial membrane potential dye, a DCFH-DA active oxygen probe, a Caspase-3 / 7 activated substrate and a Hoechst nuclear dye, completing synchronous multiple labeling, and generating a multi-labeled cell sample, S2, detecting the cell activity based on the multi-labeled cell sample, five-channel full-automatic scanning is carried out through a high-content imaging system, Z-stack images are collected, and a multispectral image data set is generated. The five probes are mixed and incubated at one time through a synchronous multiple labeling process, so that the operation time is remarkably shortened, and the risk of cell injury caused by multiple times of centrifugation is reduced; z-stack full-automatic scanning is combined with three-dimensional image acquisition, the capturing capability of weak fluorescence signals is improved through multi-focal plane fusion, and information loss caused by cell thickness or position offset in traditional two-dimensional imaging is overcome.

A method for guiding bone removal includes receiving at least one two-dimensional image of bony anatomy captured by a two-dimensional imaging system and at least one endoscopic image of the bony anatomy captured by an endoscopic imager. A three-dimensional model of the bony anatomy is registered with the endoscopic imager in a common reference frame using the two-dimensional image and a tracking system. A position and orientation of the three-dimensional model relative to the endoscopic image is determined based on registration of the three-dimensional model with the endoscopic imager in the common reference frame. The endoscopic image is displayed simultaneously with at least a portion of the three-dimensional model based on the determined position and orientation of the three-dimensional model relative to the endoscopic image.

The application discloses a vortex electromagnetic wave radar forward-looking imaging method and system based on a concentric circular array design, a storage medium and an electronic device, and specifically comprises the following steps: establishing a new system radar imaging model according to a radar working mode; designing a concentric circular array and a vortex mode transmitting function; deriving a return model; obtaining distance direction high-resolution information of a target; performing distance correction, phase decoupling and Bessel amplitude compensation on the azimuth direction of the return, and coherently superimposing the compensated return to reestablish a dual relationship between a mode and an azimuth angle; and finally, realizing vortex electromagnetic wave radar forward-looking two-dimensional imaging through fast Fourier transform on the azimuth direction. The forward-looking imaging can increase the observation time of a region of interest, keep the region of interest in a main lobe range, enhance the strength of a return, increase return information, and effectively improve the azimuth direction resolution.

This application relates to adjusting camera exposure for three-dimensional depth sensing and two-dimensional imaging. A method is disclosed, comprising: instructing, by a processing system of a distance sensor, a pattern projector of the distance sensor to project a pattern of light onto an object during a first timing frame; instructing, by the processing system, a camera of the distance sensor to acquire a first image of the object during the first timing frame, wherein the first image is acquired with an exposure time of the camera set to a first value; instructing, by the processing system, the pattern projector to project a pattern of light onto the object during a second timing frame after the first timing frame; instructing, by the processing system, the camera to acquire a second image of the object during the second timing frame, wherein the second image is acquired with the exposure time of the camera set to the first value; instructing, by the processing system, an illumination source of the distance sensor to illuminate the object during a third timing frame after the second timing frame; and instructing, by the processing system, the camera to acquire a third image of the object during the third timing frame, wherein the third image is acquired with the exposure time of the camera set to the first value.

This invention provides a method, apparatus, and storage medium for estimating the geometric parameters of a spherical cone target. The method includes: acquiring sparse echo data of the spherical cone target; determining the value range of the parameters to be estimated based on prior information of the spherical cone target, obtaining a parameter combination set including several parameter combinations; the parameters to be estimated include the base radius and the semi-cone angle; substituting the parameter combinations in the parameter combination set into a geometric diffraction theory model to obtain the RCS data of the spherical cone target; performing two-dimensional imaging and transformation processing on the sparse echo data and the RCS data respectively to obtain a first column vector and a second column vector; constructing a parameter dictionary based on the second column vector; and inputting the first column vector and the parameter dictionary into a preset optimization algorithm for iteration to obtain the estimated target parameter values. The geometric parameter estimation method for spherical cone targets provided by this solution reduces the computational load while ensuring the accuracy of parameter estimation.

Surgical planning based on a three-dimensional (3D) model includes obtaining a 3D model of an anatomical region, wherein the anatomical region includes the patient's anatomical features; identifying at least one deformity, wherein the at least one deformity is identified with respect to a target anatomical value of the patient's anatomical features, wherein the target anatomical value includes a desired range into which the anatomical measurement should fall; and using the anatomical measurement, determining at least one planar correction to be made to at least one anatomical structure of the patient. Generating a 3D model using two-dimensional (2D) imaging data may include performing anatomical context processing, which includes annotating the model, contours, edges, or surfaces of the anatomical structure, as well as performing 2D-to-3D reconstruction to optimize the orientation, placement, and scale of the 3D digital volume modeling the anatomical structure, resulting in a 3D anatomical representation of the anatomical region as a 3D model.

This invention provides a method, system, and medium for three-dimensional positioning and displacement measurement that integrates microwave and vision technologies. The method includes: rigidly connecting at least one microwave sensor and at least one vision sensor as a joint sensing unit; establishing a spatial transformation relationship between the coordinate systems of the two sensors through calibration; fusing the target's radial distance and angle information provided by the microwave sensor with the target's two-dimensional imaging information provided by the vision sensor; and directly solving for the target's three-dimensional coordinates in the selected coordinate system using an optimization algorithm; further combining the high-precision one-dimensional displacement information from the microwave sensor with the two-dimensional displacement information from the vision sensor to reconstruct the target's complete displacement vector in three-dimensional space. This invention, through a compact heterogeneous sensor fusion architecture, effectively solves the problems of limited dimensionality of single-sensor modes, high cost of multi-sensor networking, system complexity, and poor engineering applicability, achieving high-precision, low-cost, and full-dimensional non-contact three-dimensional positioning and displacement measurement.

The invention discloses an ISAR (Inverse Synthetic Aperture Radar) image satellite target attitude estimation method based on geometric feature constraint, which comprises the following steps of: segmenting typical satellite components in a sequence ISAR image based on a Conv-LSTM network, and extracting component scattering centers by adopting an attribute scattering center model; estimating the direction and length of the main axis of the satellite main body by using principal component analysis (PCA); extracting axis features of the sailboard through DBSCAN clustering and an L-shaped rectangular search algorithm; and finally, a projection geometric model of a target three-dimensional to two-dimensional ISAR imaging plane is constructed in combination with radar sight line information, an optimization target function is established, and a satellite attitude angle is solved through a particle swarm optimization algorithm. The spatial-temporal information of the sequence image and the geometric structure constraint of the target are fully fused, the problem of projection change caused by target motion in ISAR imaging can be effectively solved, high-precision estimation of the satellite attitude is achieved, and the method has high anti-interference capacity and practical application value.

The application discloses a kind of fast high-resolution imaging methods based on vortex electromagnetic wave, which constructs the two-dimensional imaging model of pitch angle and azimuth angle based on concentric circular ring array, realizes low-rank decomposition to the received echo and observation matrix by means of spherical harmonics function, introduces orthogonal matching pursuit algorithm to the scattering point in observation plane for target reconstruction, so as to realize the two-dimensional joint imaging of radar target pitch angle and azimuth angle.The imaging mode of joint OMP algorithm and spherical harmonic decomposition proposed in the application can realize higher imaging resolution compared with the traditional generalized inverse solution mode, while greatly reducing the operation amount of imaging process, effectively saving calculation time.

This invention discloses a satellite target attitude estimation method based on geometric feature constraints in ISAR images, comprising the following steps: segmenting typical satellite components in sequential ISAR images using a Conv-LSTM network and extracting component scattering centers using an attribute scattering center model; estimating the direction and length of the satellite's main axis using Principal Component Analysis (PCA); extracting the axis features of the solar panels using DBSCAN clustering and L-shaped rectangle search algorithms; and finally, constructing a projection geometric model of the target from a 3D to a 2D ISAR imaging plane by combining radar line-of-sight information, establishing an optimization objective function, and solving for the satellite attitude angles using a particle swarm optimization algorithm. This invention fully integrates the spatiotemporal information of sequential images with the geometric constraints of the target, effectively overcoming the projection variation problem caused by target motion in ISAR imaging, achieving high-precision satellite attitude estimation, and possessing strong anti-interference capabilities and practical application value.

The application relates to the technical field of bistatic radar imaging, in particular to an external radiation source bistatic imaging system and method under a motion platform. The system comprises a motion platform provided with a GPS signal receiving module, a high-dynamic receiving platform posture measuring module, a high-dynamic receiving platform position error calculating module, a one-dimensional range image processing module, a range upsampling module, a grid dividing module and a reverse projection two-dimensional imaging module. Firstly, the position of the motion platform can be determined more accurately through compensation and correction of the posture of the motion platform; then, high-resolution two-dimensional focusing processing of a region of interest is realized through reverse projection, and a bistatic two-dimensional imaging result of the region of interest, namely a bistatic two-dimensional figure of the region of interest, is obtained.

The invention discloses a space-time quick forward-looking imaging method for a forward-looking array radar of a motion platform, which comprises the following steps of: firstly, recording forward-looking area echoes by a multi-channel radar system based on a track cutting direction, and sampling to obtain distance-pulse-channel three-dimensional echo data; performing range-direction high-resolution processing, pulse compression and range migration correction on the data; traversing each range gate, performing azimuth Fourier transform on each frame-multichannel space-time two-dimensional data, intercepting a dominant Doppler unit greater than an energy threshold in a Doppler spectrum, and performing inverse Fourier transform to a time domain, namely performing dimension reduction processing in the Doppler domain; then, rank reduction processing is carried out based on the low-rank characteristic of the covariance matrix, and the energy of the signal is reserved through principal component analysis; and finally, estimating the position and amplitude information of the target through an adaptive iteration algorithm, and carrying out projection to obtain a final two-dimensional imaging result. According to the method, while the foresight resolution is effectively improved, the calculation complexity is remarkably reduced, and the operation efficiency is greatly improved.

The application provides a simultaneous localization and mapping method for underwater pipeline detection, and belongs to the technical field of underwater robot navigation and positioning; aiming at the problems of limited light, strong echo interference and high structure repeatability in the seawater pipeline environment, a tightly coupled pose estimation framework based on factor graph optimization is proposed by fusing a two-dimensional imaging sonar, a Doppler velocity log (DVL) and an inertial measurement unit (IMU). Through joint constraint and optimization of multi-source sensing information, the method can realize high-precision positioning and continuous mapping of the ROV in an environment with extremely low visibility and complex pipeline structure, effectively improving the autonomy and data reliability of the underwater inspection process. The method has clear structure, simple implementation and high calculation efficiency, can stably run on a conventional ROS platform, and is suitable for various types of underwater pipeline detection and inspection tasks.

The invention discloses a magnetic field imaging method with an embedded depth denoising network, and the method comprises the implementation steps: (1) building an experiment platform, arranging a main imaging sensor array and an auxiliary sensing sensor array in a preset two-dimensional measurement region, and constructing a magnetic field imaging system; (2) establishing a two-dimensional relative position mapping model between the main imaging sensor and the measured magnetic field source based on the two-dimensional grid parameters and the layout of the main imaging sensor; (3) under the condition that only environment noise source interference exists, magnetic noise signals of the main imaging sensor and the auxiliary sensing sensor are synchronously collected, and a deep denoising learning data set is constructed; (4) constructing a deep denoising network taking a multichannel auxiliary perception sensor signal as an input and a main imaging sensor noise signal as an output, and learning a mapping relation through supervised training; (5) when a target magnetic field exists, reconstructing and suppressing a noise component in a main imaging sensor signal by using the trained network; and (6) mapping the denoised main imaging sensor signal into two-dimensional magnetic field distribution according to a two-dimensional relative position mapping model to realize magnetic field imaging. According to the invention, denoising and two-dimensional imaging of magnetic field signals in a complex interference environment are realized through deep learning noise modeling and two-dimensional space mapping based on cooperation of multiple sensors.

The application relates to the technical field of bistatic radar imaging technology, in particular to an external radiation source bistatic imaging system and method under a high dynamic receiving platform. The system comprises a high dynamic receiving platform with a GPS signal receiving module, a high dynamic receiving platform attitude measuring module, a high dynamic receiving platform position error calculating module, a one-dimensional range image processing module, a range upsampling module, a grid dividing module and a reverse projection two-dimensional imaging module. First, the position of the high dynamic receiving platform can be determined more accurately through compensation and correction of the attitude of the high dynamic receiving platform; then, high-resolution two-dimensional focusing processing of a region of interest is realized through reverse projection, and a bistatic two-dimensional imaging result of the region of interest, namely a bistatic two-dimensional figure of the region of interest, is obtained.

The application provides a method and device for generating a spatial domain filter function for ISAR image inverse transformation, wherein the method comprises: constructing a unit image matrix based on a target ISAR image; wherein the coordinate dimensions corresponding to the unit image matrix are the same as the coordinate dimensions of the target ISAR image, and each element in the unit image matrix is unit 1; performing the same operation processing procedure on the unit image matrix based on the operation processing procedure required for the target ISAR image, to obtain an initial spatial domain filter function; inversely transforming the initial spatial domain filter function to an angle-frequency domain to obtain a similar angle-frequency domain function; performing window processing on the similar angle-frequency function in the angle and frequency dimensions by using a window function; and performing two-dimensional ISAR imaging on the function after the window processing, to obtain a final spatial domain filter function. According to the scheme, the generated spatial domain filter function can reduce the spectrum leakage of the transition region after ISAR image processing.

This invention discloses a method for three-dimensional tomographic imaging detection of interplanetary shock waves in satellite formations. The method includes the following steps: 1) Designing a satellite formation configuration with uniformly distributed interferometric baselines using an optimization algorithm based on observation requirements and satellite engineering constraints; 2) Measuring the baseline between any two satellites in the formation; 3) Combining all inter-satellite baselines to obtain three-dimensional spatial frequency sampling points for each frequency, forming a spatial transfer function; 4) Setting M observation frequencies for the interferometric imaging spectrometer, and obtaining tomographic surfaces corresponding to different heliocentric distances for each frequency point through inter-satellite interference; 5) Based on the principle of interferometric imaging, using a transformation algorithm from the spatial frequency domain to the spatial domain, sequentially performing two-dimensional imaging inversion on tomographic surfaces at different heliocentric distances, and then synthesizing a three-dimensional tomographic image; 6) Repeating steps 2) to 5) to achieve continuous observation and imaging, forming a three-dimensional tomographic image that evolves over time.

A camera apparatus includes a two-dimensional (2D) light source to generate first light for 2D imaging and to irradiate the first light to an object; a three-dimensional (3D) light source to generate second light for 3D imaging and to irradiate the object; a camera sensor to perform a time division mode operation which is time-divided into a first time and a second time, to image the object on which the first light is irradiated to generate a first image signal at the first time, to image the object on which the second light is irradiated to generate a second image signal at the second time; and a controller to control synchronization of the 2D light source and the camera sensor and to control synchronization of the 3D light source and the camera sensor during the time division mode operation.

OF THE DISCLOSURE Provided is a method for coupling a hemispherical lens to a terahertz optoelectronic chip. First, a printed circuit board and a hemispherical lens are ultrasonically cleaned. Then, a flat side of the hemispherical lens is placed against a back side of the printed circuit board, and UV glue is applied at the junction and cured with a UV lamp. The printed circuit board and the hemispherical lens are fixed on a base. A two-dimensional imaging instrument is used to align a center hole of the terahertz optoelectronic chip with a center of the hemispherical lens. Finally, a chip mounter is used to complete the coupling of the terahertz optoelectronic chip and the hemispherical lens. The coupling method of this application can be used in a fabrication process of transmission or reception chips, with a high degree of standardization, good compatibility, and high repeatability, making it suitable for large-scale manufacturing. Figure 1

The present application belongs to the technical field of visual guidance robot positioning, and particularly relates to a robot positioning method based on gradient weighting correction under multi-view. The present application firstly obtains the camera internal parameter matrix of each vision unit and the three-dimensional space coordinates of target features through calibrating the image of a calibration board in a common field of view; then establishes the matrix conversion relationship and inverse solution equation between the three-dimensional space and the two-dimensional imaging plane, and gradually obtains the external parameter matrix of each auxiliary camera relative to the main camera under the same world coordinate system; then constructs a gradient weighting correction algorithm using the gradient amplitude and phase correlation between the image pairs, filters out the error caused by the too large camera offset angle, and is used for correcting the conversion matrix between the multi-view vision units; finally, the data is converted to the robot base coordinate system through a hand-eye calibration algorithm, and the robot precise positioning based on gradient weighting correction under multi-view is realized. The present application increases the stability and robustness of the multi-view visual guidance robot positioning.

The invention discloses a surface diffuse reflectance imaging method based on geometric characteristics, and belongs to the technical field of optical measurement. According to the method, N cosine fringe patterns with fixed frequency and different initial phases are generated, N cosine fringe images under fixed optical wavelength are respectively formed on a diffuse reflection plate and a sample, and then fringe analysis is carried out to obtain surface wrapping phases and alternating current modulation degrees of the diffuse reflection plate and the sample; further obtaining three-dimensional space coordinates and surface geometric characteristics of the diffuse reflection plate and the surface of the sample, finally obtaining surface diffuse reflection rate distribution of the sample, and realizing quantitative two-dimensional imaging of the surface diffuse reflection rate of the sample. According to the invention, the limitation that the measured sample and the surface of the reference diffuse reflection plate strictly coincide in spatial position in principle in a structured light imaging method based on digital stripes can be broken through, and accurate quantitative two-dimensional imaging of the diffuse reflection rate of the surface of the sample with complex three-dimensional morphology is realized.

The application particularly relates to a kind of near distance multi-target fast deformation monitoring methods based on small aperture MIMO radar, high azimuth resolution two-dimensional imaging of multiple azimuth adjacent targets is realized by discrete fourier transform combined with MUSIC algorithm, and accurate positioning of multi-target is completed;Secondly, the mutual interference between target side lobe is suppressed using APES filter, and based on the target distance and azimuth information obtained in the previous step, the accurate recovery of target phase is realized;Finally, the time difference interference method is used to accurately estimate the small deformation of target visual distance.The space smoothing (FBSS) idea is introduced into the two-dimensional imaging algorithm, which effectively suppresses the coherent signal interference and realizes high azimuth resolution two-dimensional imaging in complex deformation monitoring scene.

The invention relates to a method and a device for detecting an impact hole of a pipeline. The method for detecting the impact hole of the pipeline comprises the following steps: acquiring a three-dimensional profile of the pipeline from a three-dimensional measuring device; acquiring an image of the pipeline from the two-dimensional imaging device, the image of the pipeline including the impingement hole; contour detection is conducted on the image of the pipeline, and the two-dimensional contour of the impact hole is determined; and according to the three-dimensional contour of the pipeline, the two-dimensional contour of the impact hole, the pose of the three-dimensional measuring device and the pose of the two-dimensional imaging device, determining geometric information of the impact hole on the pipeline.

The application relates to a method for intercepting an effective imaging scene of large-oblique SAR imaging by radar technical indexes, and belongs to the technical field of large-oblique SAR imaging. According to technical index requirements of a radar signal processor, such as a signal bandwidth, a sampling rate, a pulse accumulation time and the like, which are set by a project, the following specific requirements are calculated: an imaging scene center distance, an imaging width and a resolution in a distance direction and an azimuth direction of an imaging scene in a ground plane, and the like; according to a conversion relationship of oblique plane ground plane coordinate axes, the following are calculated: a distance dimension point number and an azimuth direction pulse pressure accumulation point number of a two-dimensional imaging scene in an oblique plane, so that effective data in data recording is retained, redundant data is removed, time consumption of real-time processing of an imaging algorithm is shortened, and design requirements are met.

An image element display method and apparatus, an electronic device, and a storage medium. The image element display method is applied to a head-up display device, and the head-up display device comprises a first image display unit for displaying an element in a three-dimensional first imaging area and a second image display unit for imaging in a two-dimensional second imaging area. The method comprises: acquiring a three-dimensional imaging element, and a two-dimensional imaging element comprising a first-type element and a second-type element (S501); on the basis of the extension of a second imaging area in a first imaging area, determining a first target imaging area of the first-type element in the first imaging area (S503); on the basis of a first image display unit, displaying the first-type element in the first target imaging area, and displaying the three-dimensional imaging element in the remaining imaging area of the first imaging area (S505); and on the basis of a second image display unit, displaying the second-type element in the second imaging area (S507). The method implements free stitching of an imaging area of the two-dimensional imaging element and an imaging area of the three-dimensional imaging element.

The application discloses a low-scattering processing method of a support device, which comprises the following steps: designing upper and lower low-scattering cover bodies according to the structural features of the support device, so as to respectively include the lower part and the upper part of the support device, reducing the scattering ability of the support device, determining the position of the low-weak scattering source of the support device through a target two-dimensional imaging technology, and then performing comprehensive processing of scattering source separation and filtering, so as to reduce the influence of the support device on target stealth test. The application has the advantages of simple structure, convenient preparation and installation, and suitability for various types of support devices including jacks; the low-weak scattering source can be determined and the scattering source can be separated, the accuracy of subsequent processing is improved, and the workload of filtering and other series of processing is reduced.

[Problem] To provide a scheme that both minimizes the effect of waviness and adjusts position, posture, and scale when using only two-dimensional imaging to evaluate roughness in a measured surface having macroscopic three-dimensional waviness [Solution] A substrate is used that integrally supports a sampling surface capable of elastically following the measured surface and transferring and retaining fine structures, and an identification marker including a reference pattern of known geometry. After attaching and peeling off the sampling surface as a target, the sampling surface and the reference pattern are acquired by a single imaging, planarized by projection homography based on reference points, and subjected to absolute scale-calibration using known dimensions. Additionally, structures are then extracted from the sampling surface region, and at least the nearest neighbor distance average is calculated as a roughness index.