101 results about "Two dimensional imaging" patented technology

The invention discloses a pulsed eddy current detection method and system for a thermal power pipeline with a coating layer, and relates to the technical field of pulsed eddy current nondestructive detection.The pulsed eddy current detection method comprises the steps that pulsed eddy current detection simulation and experiment are conducted under the condition of a three-dimensional simulation model and a test piece, and excitation current waveform, amplitude and frequency parameters are determined; an induced voltage signal is collected, peak values, time points and attenuation characteristics are extracted, the corresponding relation between the wall thickness, the coating layer thickness and the welding seam structure and detection signals is constructed, a parameterized database is constructed, and temperature correction is completed; and optimizing a sensor structure and a signal acquisition scheme according to a parameterized database, obtaining detection data in a pipeline operation state, completing two-dimensional imaging of wall thickness distribution and welding seam positioning, and forming detection information covering a straight pipe, an elbow and a welding seam area. According to the method, wall thickness detection and welding seam positioning of the thermal power pipeline under the conditions of a thick wall and a thick coating layer are achieved through the full-process design of test piece modeling, simulation experiment and imaging collection.

The invention provides a synchronous positioning and mapping method for underwater pipeline detection, and belongs to the technical field of underwater robot navigation and positioning. In order to solve the problems of limited illumination, strong echo interference, high structural repeatability and the like in a seawater pipeline environment, the invention provides a factor graph optimization-based tight coupling pose estimation framework fusing a two-dimensional imaging sonar, a Doppler velocity meter 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 a complex pipeline structure, and effectively improves autonomy and data reliability of an underwater inspection process. The method is clear in structure, easy and convenient to implement, high in calculation efficiency, capable of stably running on a conventional ROS platform and suitable for various types of underwater pipeline detection and inspection tasks.

The invention discloses a phase unwrapping method for an SAR (Synthetic Aperture Radar) interferometric phase diagram. The phase unwrapping method comprises the following steps: acquiring prior information of the interferometric phase diagram; based on prior information, unwrapping the interferometric phase diagram to obtain an absolute phase; elevation information is extracted according to the absolute phase; according to the elevation information, the prior information is reversely optimized. The acquisition of the prior information is based on image segmentation of the interferometric phase diagram. According to the phase unwrapping method for the SAR interferometric phase diagram and the related product, all segmented areas are executed one by one, all reconstruction results are further geocoded and integrated, fine three-dimensional reconstruction of a building can be achieved, target extraction is conducted by fusing structural features in the two-dimensional imaging direction, and the construction efficiency is improved. And the accuracy of building identification is obviously improved. The structure auxiliary information of image segmentation effectively reduces the risk of phase discontinuity in the phase unwrapping process, significantly reduces the unwrapping error, and achieves the high-precision and low-cost three-dimensional reconstruction of a building under the condition of a double-track long baseline.

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 medical system includes a manipulator assembly configured to drive a flexible elongate device, and a control system coupled to the manipulator assembly. The control system is configured to receive a three-dimensional (3D) image of a distal portion of the flexible elongate device and a target structure, determine, based on the 3D image, a two-dimensional (2D) imaging plane for viewing movement of the distal portion of the flexible elongate device from a first position captured in the 3D image to a second position that points toward the target structure, receive 2D images in the 2D imaging plane captured over time, and control the manipulator assembly to move the distal portion of the flexible elongate device from the first position to the second position based on the 2D images.

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 discloses a single pixel panoramic imaging (SPPI) method based on a Walsh-Hadamard (W-H) base. The SPPI technology is widely applied to the fields of automatic driving, pipeline detection, low-altitude economy and the like, and according to a traditional scheme, although efficient panoramic perception is achieved through combination of a convex mirror and an imaging algorithm, the algorithm efficiency and precision still need to be optimized. According to the invention, a W-H orthogonal basis optimization panoramic annular modulation mode is introduced, and the SPPI technology is improved on one-dimensional and two-dimensional imaging algorithms. The method mainly comprises the following steps: 1) constructing a two-dimensional orthogonal ring modulation framework by adopting a W-H orthogonal basis to replace a random mode; 2) building a panoramic imaging system based on a passive modulation single-pixel camera; and 3) improving a single-pixel panoramic imaging model based on two-dimensional W-H base orthogonality and a V2DALM algorithm, and optimizing the panoramic imaging adaptation capability of the algorithm. According to the method, the imaging speed and quality are considered, and the optimal SPPI scheme can be selected for different application scene requirements such as high fidelity, high speed and speed-fidelity balance.

The application relates to a moving target constant resolution ISAR imaging method and device based on track information. The method comprises the following steps: obtaining a speed vector of a moving target by processing track information, inputting the speed vector into a pre-constructed extended Kalman filter to obtain an attitude angle of the moving target at each time, converting the attitude angle of the moving target in a three-dimensional space into an actual rotation angle in two-dimensional imaging through a rotation matrix, obtaining an effective rotation angle according to the actual rotation angle, accumulating the effective rotation angles of continuous multiple time points until the accumulated angle meets a preset horizontal resolution threshold, taking the time corresponding to the accumulated angle as an imaging window length, accumulating the effective rotation angles according to the preset horizontal resolution threshold, obtaining multiple imaging window lengths, obtaining multiple target images, and realizing imaging of the moving target. The method has noise stability in the imaging process of the target, and further improves the target imaging quality.

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.

Apparatus and associated methods relate to autonomous devices configured to map surface topologies of airfoils of gas turbine engines. The autonomous device moves across the airfoil while remaining coupled thereto while sensing the surface topology of the airfoil using an optical gel sensor via an array of airfoil contacting members. The optical gel sensor includes an optical gel, having nominally planar opposite surfaces defining a nominal gel thickness extending over an image area. A lighting element illuminates the optical gel from an end of the flexible optical gel. A plurality of airfoil contacting members extend between the flexible optical gel and the airfoil, thereby distorting the flexible optical gel in response to changes in the surface topology of the airfoil. A two-dimensional imager images the flexible optical gel over the image area, thereby creating a two-dimensional image that is indicative of the surface topology.

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.

The invention relates to the field of image data processing, in particular to a ring-scan sonar two-dimensional imaging data processing method and system, and the method comprises the steps: obtaining a ring-scan sonar image, carrying out the superpixel segmentation of the ring-scan sonar image, taking any superpixel block as a target block, calculating the average noise pollution degree and the average echo signal intensity of the target block, and obtaining the ring-scan sonar two-dimensional imaging data. Taking the ratio of the average echo signal intensity to the average noise pollution degree as the comprehensive weight of a target block, taking the comprehensive weight of the target block as the comprehensive weight of each pixel point in the target block, and traversing to obtain the comprehensive weight of each pixel point of each super-pixel block, constructing a weight map aligned with the ring scan sonar image according to the comprehensive weights of all the pixel points of all the superpixel blocks; and taking the ring scan sonar image and the weight map as dual-channel input of a preset detection model to obtain a detection result. According to the invention, the target detection precision of the ring scan sonar is improved.

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 borehole surrounding rock mass structure optical-radar combined directional imaging method and equipment, comprising the following steps: S1, optical detection of a borehole inner wall is carried out by using a borehole television optical probe, and a borehole wall two-dimensional imaging profile is acquired; S2, rock mass structure surface morphological parameters are identified and extracted according to the borehole wall two-dimensional imaging profile; S3, borehole surrounding structure detection is carried out by using a borehole radar probe; S4, radar signal profile signal processing and migration imaging are carried out, and an imaging profile of a borehole surrounding rock mass structure surface is acquired; and S5, three-dimensional modeling of the rock mass structure surface is carried out. The borehole optical-radar combined observation provides more optical geological prior information, helps directional imaging rock mass structure identification, realizes multi-element data fusion in the rock mass structure surface inversion process, and completes fine identification of the rock mass structure surface.

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 disclosure relates to an optical spectrometer (7) for spectrally resolved two- dimensional imaging of an object (0), comprising a lens assembly (1 ) for collimating incoming radiation (11, 12) from an object (0) arranged along an optical axis. The lens assembly (1 ) comprises a first lens arranged (2) on the optical axis (13) of the lens assembly (1 ); a second lens (3) arranged on the optical axis of the lens assembly (1 ); a light filter (4) comprising a non-transparent sheet body with at least one hole (5); wherein the light filter (4) is arranged: between the first lens (2) and the second lens (3); in the focal point of the first lens (2) and the second lens (3); and so that the at least one hole (5) is close to or at the optical axis (13) of the lens assembly (1 ). The disclosure further relates to a method for spectrally resolved two-dimensional imaging of an object (0).

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 invention relates to closed loop feedback based on mixed dimension imaging. A medical system includes: a manipulator assembly configured to drive a flexible elongate device; and a control system coupled to the manipulator assembly. The control system is configured to: receive a three-dimensional (3D) image of the target structure and the distal portion of the flexible elongate device; determining, based on the 3D image, a two-dimensional (2D) imaging plane for observing movement of the distal portion of the flexible elongate device from a first position captured in the 3D image to a second position directed toward the target structure; receiving a 2D image in the 2D imaging plane captured over time; and controlling the manipulator assembly to move the distal portion of the flexible elongate device from the first position to the second position based on the 2D image.

The invention discloses a VOC gas scattering positioning imaging method based on single photon radar and Raman scattering, and belongs to the technical field of gas detection and imaging. According to the method, high sensitivity and high resolution of a single photon radar are utilized, and the feature recognition capability of Raman scattering on different gases is combined. A laser pulse with a specific wavelength is emitted and interacts with gas to generate Raman scattering, a high-sensitivity single-photon detector is used for receiving scattered photons, a high-precision timing device is used for measuring the flight time and calculating the distance, scattered photon signals are processed and analyzed through self-adaptive filtering, photon counting statistics, quantum enhancement technologies and the like, and the Raman scattering effect is achieved. Raman scattering characteristic parameters are extracted and compared with a database, so that gas types and concentration distribution are judged. And finally, carrying out two-dimensional imaging by adopting a convolutional neural network based on deep learning, carrying out three-dimensional imaging by adopting a point cloud processing algorithm based on an octree structure, and processing an image through an image enhancement and denoising algorithm. According to the invention, high-precision detection, positioning and imaging of VOC gas and water vapor are realized, the method has the advantages of high sensitivity, accurate positioning, rapid detection, strong anti-interference capability, strong gas distinguishing capability and the like, the problems of the existing detection method are effectively solved, and powerful support is provided for environmental protection and industrial safety.