138 results about "Two dimensional imaging" patented technology

The invention relates to the technical field of image data processing, and discloses a fine metal powder defect detection method and system based on image recognition, and the method comprises the steps: illuminating a metal powder region through a non-polarized light source, and collecting two images in an orthogonal polarization state through imaging equipment with a linear polarizer, according to the method, the defect morphological fingerprints are constructed through the polarization information entropy, the three-dimensional structure information is converted into light field order degree change for detection, the dimension limitation of traditional two-dimensional imaging is broken through, and the detection accuracy is improved. Hidden defects such as internal pores and aggregates can be accurately identified, and meanwhile, stable detection and material defect cross discrimination under a dynamic working condition are realized in combination with motion compensation and multiband entropy ratio verification.

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 thermal barrier coating defect analysis method based on terahertz multi-domain imaging weighted fusion, which comprises the following steps: according to different positions of defects in a thermal barrier coating, respectively intercepting signals of imaging modes of the surface, the interior, the lower interface and the integral structure of the thermal barrier coating from thermal barrier coating signals; calculating a time domain index value and a statistical domain index value in each signal, arranging the index values into a two-dimensional matrix, and drawing a two-dimensional imaging graph; carrying out fusion imaging on the two-dimensional image by adopting a weighted fusion method to obtain a terahertz fusion image; segmenting and identifying defect features in the terahertz fusion image to obtain defect type and size information; according to the thermal barrier coating falling failure judgment criterion, the failure state of the thermal barrier coating is evaluated according to the defect area proportion; according to the method, the terahertz multi-domain imaging graph is adopted to effectively extract the early internal defect characteristics of the thermal barrier coating, the defect characteristics are enhanced through weighted fusion imaging, and finally early internal defect detection and failure evaluation are achieved.

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.

A method for modeling a joint before, during, and / or after a medical procedure includes receiving first imaging data capturing the joint from a first imaging perspective and second imaging data capturing the joint from a second imaging perspective that is different than the first imaging perspective, the first and second imaging data generated intraoperatively via a two-dimensional imaging modality, generating three-dimensional image data by back-projecting the first and second imaging data in three-dimensional space in accordance with a relative difference between the first and second imaging perspectives, generating a three-dimensional model of the joint based on processing the three-dimensional image data with a machine learning model trained on imaging data generated via at least a three-dimensional imaging modality, and displaying a visualization based on the three-dimensional model of the joint during the medical procedure.

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.

The invention belongs to the technical field of radar imaging, and particularly relates to a radar sparse three-dimensional imaging and resource scheduling method based on ring array nesting, which comprises the following steps of: establishing a sparse imaging model under an OFDM (Orthogonal Frequency Division Multiplexing) framework; providing a sparse two-dimensional imaging method; proposing a pitch angle reconstruction method based on phase interference; calculating imaging parameters required by resource allocation in the multi-target imaging scene; and establishing an adaptive resource scheduling optimization model and providing a solving method. According to the radar sparse three-dimensional imaging method based on circular ring array nesting, three-dimensional high-resolution imaging is achieved under the condition that a small number of radar resources are consumed. And a self-adaptive resource scheduling algorithm is provided, so that a multi-target imaging self-adaptive resource scheduling model is established by taking time saving, improvement of array element and frequency band utilization rates and balance of radiation intensity of a mode selected by each target as optimization targets, and reasonable allocation of limited radar resources is realized.

The invention discloses a discrete imaging method and device for a ground penetrating radar system, terminal equipment and a storage medium, and relates to the technical field of detection radar imaging, and the method comprises the steps: obtaining a plurality of antennas of a common midpoint antenna array, and carrying out the integration and superposition of initial signals collected at different collection points in a detection region, generating a discrete signal of each antenna pair on each acquisition point, and determining the two-way travel time and the inclination factor of a detection target detected by each antenna pair at each acquisition point according to the discrete signal, and carrying out migration integration according to the coordinate position of each acquisition point, the discrete signal of each antenna pair, the two-way travel time of the corresponding detection target and the inclination factor, generating a two-dimensional imaging result of the depth profile of each acquisition point, and finally splicing the two-dimensional imaging results of the acquisition points to obtain the depth profile of the detection target. And generating an underground three-dimensional model of the detection area. Therefore, the problem that the underground imaging result of the existing handheld radar ground penetrating system is not ideal can be effectively solved.

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 present invention provides a high-speed ultra-short-range SAR local BP fast imaging method, which includes constructing a geometric model of a two-dimensional imaging scene and deriving the target scattering point echo signal received by the radar based on the model. The method also includes the following steps: pixel segmentation of the ultra-short-range SAR application scene based on a polar coordinate system; performing frequency modulation processing on the echo signal to obtain the distance R of all targets to the radar when the slow time is zero in the frequency domain. n ; The distance is R n , n∈{1…N}, azimuth direction from θ0 to θ m For a certain pixel in the range, the echo signal amplitude is coherently accumulated in the slow time domain; all azimuth pixels are traversed to obtain the range R n The imaging result is obtained by looping through all target distances using the method in step 3, and obtaining a frame image of the entire scene. The present invention proposes a local BP imaging method based on polar coordinates, which uses the target distance obtained by Fourier transform to narrow the imaging range.

A method for performing a series of optical measurements on an activated display, whether or not it has already been mounted in an actual display device, the activated display having an optical characteristic with a performance that changes during and / or between the measurements of the series of optical measurements that are configured as a sequence of measurements comprising a pair of identical 2D image measurements or a pair of identical spot measurements in combination with a 2D image measurement to determine at least one of luminance, color-point and spectral distribution of emitted light, and the distributions of luminance and color-point over the entire light-emitting area of the activated display with an improved accuracy. An optical measurement setup for performing the series of optical measurements in accordance with the method.

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.

The present disclosure provides new and innovative systems, methods, and apparatuses for detecting non-decode events in indicia scanning settings. In an example, a system comprises a depth imaging assembly, a 2D imaging assembly, and a processing device, wherein the processing device is configured to attempt to decode an indicium affixed to a first item that is passing through at least one of a field of view of the 2D imaging assembly or a field of view of the depth imaging assembly, determine a first characteristic associated with the first item based on depth data from the depth imaging array, and responsive to a failed attempt to decode the indicium, detect a second item that is passing through the field of view of the 2D imaging assembly and the field of view of the depth imaging assembly, determine a second characteristic associated with the second item based on depth data from the depth imaging assembly, determine if the first item is a same item as the second item based on comparing the first characteristic and the second characteristic, and responsive to determining that the first item and the second item are not the same item, transmit a message to an alert module that is indicative of a non-decode event.

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.

The present invention provides a high-resolution imaging algorithm for high-squint SAR (SAR) based on a deep unfolding network: Step 1: Constructing a high-squint SAR echo signal observation model, and determining, based on the RD algorithm, that the imaging matrices required for learning by the imaging network are quadratic range compression, a cubic phase compensation matrix H2, and an azimuth compression matrix H3; Step 2: Constructing a corresponding high-squint SAR imaging network based on the learning parameters H2, H3, and other parameters determined in Step 1, and simultaneously constructing a corresponding high-squint SAR echo dataset. By deeply unfolding the ISTA algorithm into a network form, a more accurate imaging matrix is ​​obtained compared to traditional imaging algorithms, thereby improving imaging accuracy and focusing effects. This imaging method can perform high-resolution two-dimensional imaging of a target without constructing a complex compensation function, effectively suppressing sidelobes, improving imaging accuracy and computational efficiency, and achieving better imaging quality than other imaging algorithms under conditions of increased squint angles, thus meeting SAR imaging requirements under high-squint conditions.

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 a silicon wafer marking method and a silicon wafer, and relates to the technical field of marking. The silicon wafer marking method comprises the steps that a silicon wafer is conveyed to the coding module; controlling a code printing module to perform laser etching on the silicon wafer, and generating an identification code on the surface of the silicon wafer; restoring the information of the corresponding silicon wafer carried by the identification code, and transmitting the information to the sorting equipment; the photographing module is used for photographing the silicon wafer and transmitting a picture back to the central control module; the central control module carries out two-dimensional imaging processing on the photo to obtain gray values of the silicon wafer coding area and the non-coding area, and carries out three-dimensional imaging processing on the photo to obtain a depth value; the central control module compares and calculates the gray value and the depth value with a preset depth, and adjusts and sets a laser power value and a pulse width value of the coding module; and outputting the silicon wafer subjected to code printing. The laser power value and the pulse width value of the coding module can be adjusted in real time, and the coding quality is guaranteed.

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 present invention proposes a tensor completion method based on low-rank and sparse joint constraints and applies it to radar high-resolution two-dimensional sparse reconstruction imaging to enhance sparse imaging performance. The present invention realizes radar high-resolution two-dimensional imaging through the following steps: first, a tensor model of radar data is constructed by a sliding window method to capture the intrinsic structure of high-dimensional data and mine the low-rank characteristics of the data. Secondly, a tensor low-rank and sparse joint constraint model based on Kronecker basis representation is used to characterize the enhanced low-rank and sparse characteristics of the constructed radar tensor data. Then, the alternating direction multiplier method is used to efficiently solve the optimal solution of the constraint model in an iterative manner and update the relevant parameters by a closed-form solution method. The present invention verifies the superiority of the tensor completion method based on low-rank and sparse joint constraints proposed in the present invention in radar high-resolution two-dimensional imaging through comparative experiments on electromagnetic simulation and measured radar data.