322 results about "Imaging technology" patented technology

The present disclosure relates to the technical field of medical imaging, and relates to an endoscope system, an image processing method, and a computer program product therefor. The endoscope system to which the present disclosure relates comprises a light source, an insertion portion, and an image processing portion. The insertion portion is at least provided with a distal end portion configured to reach into a region to be inspected, and the distal end portion is provided with a first imaging module and a second imaging module. The light source is used for providing illumination to the region to be inspected. The first imaging module is used for acquiring a first image, and the first imaging module has a first focusing range and a first imaging range; the second imaging module is used for acquiring a second image, and the second imaging module has a second focusing range and a second imaging range; and the second focusing range is at least partially different from the first focusing range, and the second imaging range and the first imaging range have an intersection. The image processing portion is used for selecting and outputting at least one of the first image and the second image, or obtaining a composite image on the basis of the first image and the second image and outputting the composite image.

The application belongs to the technical field of radar signal processing and imaging, and provides a differential coupling single-frequency time-varying low-quantization imaging method, which comprises receiving a SAR echo signal, constructing a single-frequency time-varying threshold signal, single-bit quantization processing of a reference channel, single-bit quantization processing of a phase shift channel, double-channel data fusion and harmonic cancellation, and imaging processing based on a synthesized signal. The application effectively reduces the quantization noise base and improves the detection capability of a SAR system on weak targets under the premise of not significantly increasing the hardware cost.

The application provides an ophthalmic image diagnosis method and system based on multi-modal imaging cooperation, and relates to the technical field of medical image diagnosis. First, the OCT, fundus camera and ultrasonic original image data of an ophthalmic examination object are acquired, and multi-modal dynamic correlation mapping results are obtained through dynamic correlation and trend correlation processing. Cross-modal lesion feature progressive mining and interactive verification are performed to obtain a cross-modal lesion correlation feature set. Multi-modal cooperative diagnosis reasoning and weight feedback optimization are used to generate an ophthalmic disease reasoning result containing disease types, lesion dynamic distribution and reasoning confidence. Finally, an ophthalmic diagnosis report with dynamic labeling and confidence explanation is generated. The application comprehensively utilizes the advantages of various image technologies to improve the accuracy of ophthalmic image diagnosis.

This invention discloses a multi-functional optical microscopy imaging system that integrates multiple imaging techniques, including fluorescence lifetime imaging, bright-field microscopy, Raman microscopy, and one sample manipulation technique, optical tweezers, in a single microscope setup. This allows for the acquisition of structural, functional, and molecular information from the sample with simultaneous sample manipulation function. Various design approaches have been outlined for a multi-modality microscopy by segmenting the entire operational wavelength range of an objective lens into separate spectral channels, each dedicated to a specific optical technique.

The application discloses a dam twin scene modeling method based on human-computer coupling, and particularly relates to the field of text-to-image technology in the artificial intelligence, first, the voice of human is converted into text through constructing a voice-to-text method, and then the text is transmitted into a model; the generator in the model can retain more key text information through text-image feature fusion, map the semantics into the image area, generate high-quality realistic images, and the generated images match the overall sentence semantics, achieving good text-image semantic consistency effect; the discriminator can better identify the image area more related to the text information through the attention mechanism, promoting the text-image semantic consistency of the generated image; the stronger discriminator in turn promotes the generator to generate higher-quality images; and the introduction of contrast learning promotes the authenticity of the semantic consistency of the generated image.

This invention belongs to the field of fluorescence microscopy imaging technology, specifically a calculation method for high-density fluorescence fluctuation super-resolution microscopy imaging. This method dynamically controls the activation-quenching cycle of reversible fluorescent molecules through alternating sequential irradiation with activation and excitation light, effectively reducing the density of fluorescent molecules by combining activation light control and image differential processing techniques. Specifically, it includes: optimizing light control parameters such as frame rate, activation light power and exposure time, and excitation light power and exposure time; using an inter-frame difference algorithm to reduce the effective fluorescence density; and employing the SOFI algorithm for high-order cumulant calculation to achieve super-resolution reconstruction. Compared to existing technologies, this invention eliminates the need for complex multicolor labeling, significantly improves imaging resolution through a light control-differential synergistic strategy, and is compatible with various microscopy systems such as wide-field and confocal microscopy, providing an efficient and reliable technical solution for live-cell super-resolution observation.

The application provides a composite material defect detection system and method. It relates to the field of nondestructive testing technology. It is used to solve the problem of inaccurate detection of small defects under low power excitation. It comprises: a multi-excitation signal generation module that provides different excitation modes, each excitation mode selectively enhances the response of a specific type of defect in the composite material under test; output excitation signals matching target instructions; an ultrasonic excitation module that receives excitation signals and converts them into mechanical vibrations; the mechanical vibrations are transmitted to the composite material under test in the form of symmetrical surface contact to excite the internal defect area of the composite material under test to form a temperature difference relative to the non-defect area; an infrared thermal image acquisition module that acquires thermal image data of the composite material under test through a thermal imaging technology matching the excitation signal; a synchronous control and signal processing module that receives thermal image data and obtains defect positions based on the thermal image data.

This invention discloses a method for field-of-view deconvolution image restoration of an imaging system based on wavefront aberration reconstruction, belonging to the field of wavefront aberration measurement and computational imaging technology. The method includes: measuring the wavefront aberration of the optical system under test in an imaging system containing detection markers; setting the measured wavefront aberration as the wavefront aberration of the optical system under test in an imaging system containing pinhole arrays, and simulating and generating point spread functions corresponding to different field-of-view blocks; replacing the detection markers with imaging samples, and acquiring the actual image of the imaging samples through the optical system under test as the image to be restored; dividing the image to be restored into field-of-view partitions, performing deconvolution restoration on each block using the corresponding point spread function, and then stitching the restored block images together to obtain a complete restored image. This invention decouples wavefront aberration measurement from image restoration, achieving effective correction of spatially varying aberrations in a large field of view without increasing hardware complexity, significantly improving the restoration accuracy, efficiency, and consistency of the entire field-of-view image.

Systems and methods for sensing vibrational absorption induced photothermal effect via a visible light source. A Mid-infrared photothermal probe (MI-PTP, or MIP) approach achieves 10 mM detection sensitivity and sub-micron lateral spatial resolution. Such performance exceeds the diffraction limit of infrared microscopy and allows label-free three-dimensional chemical imaging of live cells and organisms. Distributions of endogenous lipid and exogenous drug inside single cells can be visualized. MIP imaging technology may enable applications from monitoring metabolic activities to high-resolution mapping of drug molecules in living systems, which are beyond the reach of current infrared microscopy.

The utility model relates to a kind of battery blue film appearance defect detection device, including external pull belt and AOI detection machine;External pull belt includes feeding butt joint pull belt, OK belt line, NG belt line, re-investment belt line and discharging butt joint pull belt;AOI detection machine is set to the side of OK belt line;AOI detection machine includes feeding handling module, bottom surface detection vision module, narrow surface detection vision module, large surface and top surface detection vision module, double-motor handling module, ring line detection module, rotating variable pitch module, OK discharging handling module and NG discharging handling module.The utility model uses deep learning, 2.5D line scanning imaging technology, annular detection module and automatic conveying system, solves the difficulty of bubble foreign matter detection and distinction that square battery package blue film process faces, can be connected to the good product flow channel of front package blue film equipment, and after sorting machine and Pack line process, realize the automation of square lithium battery package film post production line.

This application discloses a 3D imaging method and system based on structured light phase measurement, relating to the field of 3D imaging technology. The method includes: calibrating a structured light measurement system to obtain intrinsic and extrinsic parameters, and determining the effective measurement depth range and the corresponding effective absolute phase interval; controlling a projector to project a preset sinusoidal fringe pattern onto the measured scene, acquiring a deformed fringe image modulated by the surface of the measured object, and obtaining a wrapping phase map; calculating the initial fringe order of each pixel based on the effective measurement depth range using a frequency domain order-based fringe order no-neighborhood solution algorithm; performing no-neighborhood verification and error correction on the initial fringe order based on the effective absolute phase interval using an order self-verification and error correction algorithm to obtain the final fringe order; and calculating the absolute phase map of the entire field of view based on the wrapping phase map and the final fringe order, and converting the point cloud data. This application aims to solve the technical problem of existing spatial phase unfolding techniques relying on the continuity of adjacent pixels.

This invention relates to the field of power line inspection equipment technology, and discloses a power line insulator defect detection device based on binocular UAV ensemble, comprising: a UAV ensemble execution module, a binocular vision inspection module, an ensemble collaborative control module, a data processing and defect identification module, a wireless communication module, and a ground monitoring terminal; the UAV ensemble execution module adopts a master-slave ensemble architecture, consisting of one master-controlled UAV and several slave-controlled inspection UAVs forming an inspection ensemble. By employing binocular synchronous imaging technology, it simultaneously acquires two-dimensional appearance and three-dimensional depth information of the insulator, completely solving the problems of single-eye detection lacking depth and prone to false detection and missed detection; moreover, the master-slave ensemble architecture enables multi-machine synchronous collaborative operation, with a wide coverage area, high inspection efficiency, and the ability to complete long-distance line inspections in one go, possessing fault redundancy capability, and significantly improving operational stability and continuity.

This invention discloses a method for restoring turbulent degradation images based on complex amplitude detection, belonging to the field of computational optics imaging technology. This method constructs a computational optics imaging system without a hardware correction unit. It utilizes a wavefront sensor and an imaging sensor to simultaneously acquire Hartmann images and target degradation images. A computational unit performs wavefront complex amplitude reconstruction and aberration correction. Based on this, a physically constrained end-to-end neural network architecture is designed. By reconstructing the wavefront complex amplitude, it achieves accurate mapping and inference from the Hartmann image to the point spread function of the imaging system. Finally, a multi-scale deconvolutional network is combined to complete high-quality restoration of the turbulent degradation image. This invention eliminates the need for a hardware corrector, overcomes the physical limitations of traditional adaptive optics, effectively solves the problem of insufficient point spread function accuracy, and enables time-delay-free and highly efficient turbulent image restoration under low-cost conditions.

This invention relates to the field of nondestructive testing imaging technology, specifically to a tomographic imaging simulation calculation method for potential continuity constraints in coaxial heterostructures. The method includes: constructing a refined model of the coaxial heterostructure; determining the dielectric constant and conductivity of each layer of material; dividing the material into finite element meshes; identifying the interfaces between heterostructure materials and applying potential continuity and flux balance constraints; solving for the potential values ​​of all nodes; extracting the electric field intensity at the centroid of each element and constructing a sensitivity matrix; combining measured capacitance data; obtaining the dielectric constant vector through an inverse problem; mapping it back to the mesh elements to complete image reconstruction and display the defect location. This invention significantly improves the accuracy of electric field simulation and the resolution of defect image reconstruction by constructing a refined model of the coaxial heterostructure and applying potential continuity constraints.

This application relates to an image display method, apparatus, computer device, chip, and chip module, and pertains to the field of image technology, capable of improving the smoothness and stability of image display. The method includes: obtaining a first target time for the drawing stage based on a first actual time consumption and a first historical time consumption for the application to draw historical image frames; determining a second target time for the compositing and display stage based on a second actual time consumption, a second historical time consumption for the image compositing service to process historical image frames, and a third historical time consumption for the hardware compositor to synthesize and display historical image frames; after the image compositing service submits the compositing and display task corresponding to the current image frame to the asynchronous thread of the hardware compositor, sending the second target time consumption to the hardware compositor and the first target time consumption to the application, to instruct the asynchronous thread of the hardware compositor to asynchronously process the compositing and display task according to the second target time consumption, and instructing the application to process subsequent image frames according to the first target time consumption.

A diagnostic system for determining a health condition of an organ of a patient that has been administered a radioisotope dose uptaken by the organ, comprises at least one processor configured for receiving image data acquired from the patient when the radioisotope dose is active in the patient, analyzing the received image data to determine a functional organ volume index and an individual organ function index, staging a health of the organ based on the determined functional organ volume index and the determined individual organ function index. The diagnostic system further comprises a user interface device configured for communicating the staged health of the organ to a clinician.

This application relates to the field of space imaging technology and provides a method for decoupling translational and rotational motion in space-based microwave imaging of space targets based on parameter estimation. The method first uses adjacent cross-correlation and self-focusing methods to perform preliminary compensation for the translational motion components of the microwave imaging echo data. Then, using the first-order translational motion parameters fitted by the former as initial values ​​and minimizing the image entropy of the echo data as the cost function, it combines Keystone transform to optimize and compensate for the translational linear phase components. Next, it uses Keystone transform to compensate for the spatially varied range cell migration caused by the rotational motion components. Finally, it performs a second compensation for the residual translational motion components, obtaining echo data after almost complete compensation of the translational and rotational MTRC. By performing spatially varied phase error compensation and azimuth compression on this data, the imaging result of the space target can be obtained. This method achieves a balance between the efficiency and accuracy of parameter estimation, effectively improving imaging quality.

This invention discloses a parallel demodulation and intelligent imaging system based on a reconfigurable fiber optic ultrasonic detection array, belonging to the field of ultrasonic / photoacoustic detection and imaging technology. A splicing and clamping type of flexibly reconfigurable fiber optic ultrasonic detection array structure is designed, using detachable slots and assembly fixtures for assembly, supporting dynamic splicing and reconfiguration of the array as needed to adapt to diverse detection environments. A wavelength division multiplexing (WDM) to time division multiplexing (TDM) high-capacity, streamlined parallel demodulation system is developed, forming a path-sharing delay system through the coordinated configuration of delay and beam combining, distinguishing multi-channel detection signals in the time domain, while maintaining small size and low cost. A sound velocity inversion-based highly intelligent calibration ultrasonic imaging algorithm is constructed, integrating a deep learning model to adaptively correct sound velocity distortion in non-uniform media, achieving high-quality imaging. This invention achieves flexible layout, streamlined link, and high-fidelity fiber optic array-based ultrasonic / photoacoustic imaging through synergistic optimization of front-end detection, mid-end demodulation, and back-end imaging.

This invention relates to the field of high dynamic range imaging technology and discloses a deep learning-based high dynamic range imaging method. The method includes acquiring original images with different exposure types; extracting features from the original images; using a cross-frame entanglement mechanism to perform quantum motion compensation on abnormal exposure feature maps based on normal exposure feature maps, resulting in compensated abnormal exposure feature maps; fusing features between the normal exposure feature maps and the compensated abnormal exposure feature maps using a multi-scale feature pyramid and adaptive spatial attention, resulting in fused features; and reconstructing the image using an attention-guided residual reconstruction model to obtain a high dynamic range image. This invention solves the motion offset problem between multi-exposure images through quantum motion compensation, eliminating dynamic blur; achieves detail enhancement and color correction through a multi-scale feature pyramid and spatial attention; and reduces computational complexity and improves reconstruction efficiency through a lightweight reconstruction model.

The application relates to the technical field of space imaging, and provides a space target space-based microwave imaging system design method and device. The method firstly determines the intersection course of an observation satellite and a space target based on an orbit dynamics simulation method, and then determines an imaging observation window; then, the relative motion characteristics of the observation satellite and the space target in the imaging observation window and the maximum scanning capability of a phased array antenna are combined to determine a beam scanning geometry and generate a beam scanning strategy; next, precise acquisition and locking of the beam are realized by optimizing the orbit prediction error of the space target; finally, high-precision imaging of the space target is realized by combining a synthetic aperture imaging algorithm and error compensation according to the beam scanning strategy and the optimized orbit parameters of the space target, double high-speed motion imaging feasible position determination is realized, a stable and efficient phased array beam scanning strategy is constructed, high-precision beam pointing of a non-cooperative target is realized, and the precision and reliability of space target imaging are improved.

The utility model discloses a cell ball culture pore plate which comprises a culture plate, a plurality of culture pores are arranged on the culture plate at intervals, and a plurality of pits are arranged in each culture pore. The cell ball culture device is easy to operate, a large number of uniform cell balls can be obtained in the same culture hole at a time when the cell balls are cultured, the balling efficiency and the balling number of the cell balls can be effectively improved, and the uniformity of experiments is ensured; according to the utility model, the specially designed buffer table can effectively prevent the cell ball from being flushed out of the pit due to the impact of liquid on the bottom of the pit during sample adding, and can prevent the cell ball from being sucked or injured by mistake due to the fact that a gun head is in contact with the bottom of the pit during pipetting; the characteristics of a traditional pore plate are reserved, flux is large, the appearance is matched with most detection machine types on the market, observation is convenient, and the device is suitable for various imaging technologies.

This application discloses a SAR imaging method for sea surface ship targets based on inverted conjugate-frequency modulated Z-transform and maximum likelihood estimation, belonging to the field of radar target imaging technology. The method includes: establishing a geometric motion model of the ship target based on its motion; calculating a range-time domain echo signal model based on the geometric motion model; adaptively extracting the echo signal from the echo signal model based on the inverted conjugate-frequency modulated Z-transform; establishing a linear observation equation for phase error using the echo signal to optimally estimate the two-dimensional spatially varied phase error parameters; constructing a compensation function using the optimally estimated two-dimensional spatially varied phase error parameters and performing adaptive iteration based on bandwidth contraction to transform the iterated target signal from the time domain to the image domain, obtaining the final imaging result. This application can effectively eliminate complex two-dimensional spatially varied defocus, improving image resolution and focusing quality.

This invention relates to the field of remote sensing image technology and discloses a method and system for fine-grained target detection in remote sensing images. The method includes the following steps: S1, obtaining task requirements; S2, acquiring remote sensing images; S3, querying a fine-grained target template library based on target labels to determine whether there is an instance template corresponding to the target type. If no instance template exists, the required target name is used directly, and a basic dynamic prompt is generated in conjunction with a remote sensing knowledge base. Zero-sample target detection is then performed on all slices. Otherwise, proceed to S4; S4, template instance feature parsing; S5, dynamic prompt instantiation generation; S6, coupled matching and detection; S7, extracting the corresponding slice information, generating and outputting geographic information products and detection reports conforming to a predetermined format.

This invention relates to the field of seismic imaging technology and discloses a method, apparatus, equipment, and medium for forward modeling of seismic acoustic waves in a viscoelastic-acoustic (VTI) medium. The method includes: obtaining a desired Q value; calculating the viscoelastic velocity of the seismic acoustic wave based on the desired Q value; fitting parameters of a generalized standard linear body model; constructing a wave equation for the seismic acoustic wave in the VTI medium based on the generalized standard linear body model; and solving the wave equation for the seismic acoustic wave in the VTI medium using the finite difference method and the viscoelastic velocity. This invention solves the problem that traditional seismic simulations cannot simultaneously consider seismic anisotropy and seismic attenuation, significantly improving the accuracy and applicability of seismic simulations, as well as the accuracy of seismic simulations in complex terrain, geology, and oil and gas reservoir areas. It provides a foundation for subsequent high-precision seismic velocity modeling and seismic migration imaging.

This application relates to the fields of artificial intelligence and imaging technology. It discloses a method, apparatus, device, and storage medium for enhancing liver ultrasound images. The method includes: rendering pixel data using an image rendering engine to generate a current liver ultrasound image; determining the location range of a liver region within the current liver ultrasound image; extracting the local image corresponding to the liver region as a liver region image; obtaining the average grayscale value of all pixels within the liver region image; generating a visual quality score for the current liver ultrasound image based on the average grayscale value of all pixels within the liver region image and a preset ultrasound image scoring model; and when the visual quality score is lower than a preset score, generating a detail-enhanced current liver ultrasound image using a generator in a trained deep convolutional neural network. This application improves the efficiency of generating detail-enhanced current liver ultrasound images.

This invention discloses a method for evaluating the scanning depth of breast ABUS images, belonging to the field of breast ABUS image technology. The method includes: S1: collecting three-dimensional DICOM data of breast ultrasound, annotating the ribs in the coronal images, and evaluating the scanning depth; S2: performing coronal slice processing and converting and generating model labels; S3: detecting the rib region based on a target detection architecture, and training a rib detection model capable of automatically locating the rib region in the image; S4: testing and evaluating the rib detection model; S5: establishing scanning depth judgment rules based on the number and position of rib frames to determine the scanning depth category. This invention solves the problems of significant differences in image coverage, lack of reliable reference, and difficulty in quickly determining the optimal scanning depth suitable for different breast sizes and shapes. This invention's automatic evaluation of ABUS image scanning depth enables standardization of ultrasound screening.

The application provides a kind of based on augmented reality navigation heart blood flow imaging system and navigation image generation method, it is related to biomedical optical imaging technical field, the system includes: laser speckle image acquisition unit according to electrocardiogram ECG signal determines acquisition window, and after the imaging focus is actively compensated based on real-time ranging result in the acquisition window, laser speckle image sequence of heart surface is collected;Navigation image generation unit quantifies the degree of stenosis of blood vessel according to blood flow index, and generates blood flow navigation image in combination with laser speckle image sequence;Navigation image projection unit projects blood flow navigation image to the corresponding blood vessel area of heart surface.The application provides based on augmented reality navigation heart blood flow imaging system and navigation image generation method, not only realizes high-fidelity, quantitative blood flow imaging and intuitive, in situ surgical navigation integration, also significantly improves the precision and safety of coronary artery bypass grafting and other heart surgery.