36 results about "Imaging chain" patented technology

The invention relates to a coding and decoding method and a dual-mode coding and decoding method based on a Hash-fractal image chain, and the method comprises the steps: segmenting a text into blocks according to a set number of characters when the length of the text is greater than a threshold value, and generating a Hash value chain for each block through SHA-256; intercepting the first 16 bytes of the hash value of each block to generate a hippeastrum set image, then generating a binary fractal image, embedding metadata dot matrixes into four corners of the fractal image, and storing the metadata dot matrixes in sequence; traversing the target folder, obtaining all PNG images, and sorting the PNG images according to file name indexes; for each image, extracting metadata areas in sequence and decoding the metadata areas, firstly verifying fractal dimension errors of the image to ensure that a carrier is complete, then checking the consistency of each prevhashframe and a previous nexhashframe, positioning a chained tampering position, recalculating a CRC8 checksum, comparing with a storage value and marking a damaged data block; and finally, splicing effective data according to a block position sequence, and outputting a complete text and an abnormal mark. According to the method, the unlimited-capacity ordered associated storage breakthrough can be realized, and the tamper-resistant capability is improved.

The invention relates to a structured light three-dimensional measurement technology, and provides a system joint calibration optimization method fusing three-dimensional offset modeling and phase identity constraint for an industrial field low-precision target scene. The method comprises the following core steps: introducing a three-dimensional offset for a target feature point, and compensating spatial deformation and eliminating scale ambiguity through zero-mean constraint; sub-pixel matching is realized based on a phase identity principle, and projection constraint is enhanced to reduce dependence on a target; and constructing a joint reprojection error function, and adjusting and synchronously optimizing system parameters and offset by means of a bundle method. The prior art depends on a high-precision plane target, and when the target has manufacturing errors, installation warping or pasting deformation, calibration errors can be transmitted through an imaging link, so that the measurement precision is reduced, and target deformation and geometric errors of a projector are difficult to compensate at the same time. The method breaks through the limitation of a traditional inverse camera model, does not need to depend on a high-precision glass target, reduces the hardware cost, and constructs a cooperative compensation mechanism of a target manufacturing error and an imaging parameter. Experiments show that after explicit compensation is carried out on the local deformation of the target by adopting the three-dimensional offset factor, the flatness error gt is detected; on a paper target of 10 microns, the re-projection error of the camera is reduced by 79.6%, and the re-projection error of the projector is reduced by 74.8%; sub-pixel matching is achieved through phase identity constraint, multi-parameter collaborative optimization of bundle adjustment is combined, the high-precision measurement requirement of an industrial site is met, and an efficient solution is provided for high-precision three-dimensional measurement.

The present invention relates to a system (10) for guiding an aircraft, comprising: - an imaging chain (14) configured to reconstruct an image of the external environment; - a monitoring chain (16) configured to detect obstacles in the path of the aircraft; - a radar module (12); - a management module (31) configured to control the radar module (12) between a monitoring operation mode and a hybrid operation mode; - a post-processing module (32) configured to process reflected waves in order to transmit signals corresponding to the imaging waves to the imaging chain (14) and / or transmit signals corresponding to the monitoring waves to the monitoring chain (16).

The invention relates to the technical field of medical image processing, in particular to a local enhancement-based X-ray film and diagnostic report cross-modal association retrieval method, which comprises the following steps of: acquiring an image gray chain set and a diagnostic term expression chain set, constructing an image-text sequence corresponding relation, screening a chain group with consistent spatial semantics, marking boundary and semantic coverage coincident content, and searching for the image-text sequence chain set and the diagnostic term expression chain set. And outputting a searchable image-text combination result set after arrangement and duplicate removal. According to the method, the continuous pixel gray chain is constructed, the spatial arrangement sequence is arranged, the term connection and language sequence of the semantic chain are combined, the image-text chain group matching relation is established, the corresponding path is screened according to the consistency of the spatial trend and the semantic span, the overlapped area is marked, and the image-text combination result with the position index and the area boundary is output. After redundant chains and repeated phrases are removed, a compact searchable unit is formed and used for content correspondence and region classification of multi-source information, and collaborative association of medical images and language sequences is enhanced.

The present invention discloses an inspection system comprising a plurality of detectors (10) for inspecting an object, the plurality of detectors (10) sharing one or more imaging chains for inspecting a plurality of regions of interest on the object being inspected, wherein the detectors (10) capture images of the object using a combination of different imaging modes, and each region of interest is inspected by one or more detectors (10).

The invention provides a control method, system and device of medical scanning equipment, a medium and a program product. The control method comprises the following steps: acquiring a switching instruction based on the first trigger source; responding to the switching instruction, and matching and controlling the corresponding first trigger source to generate a first control signal or the second trigger source to generate a second control signal; and performing a corresponding scanning event by using the first control signal or the second control signal. Through the N first trigger sources and the N second trigger sources, the medical scanning equipment is matched based on the switching instructions generated by the first trigger sources to obtain the first control signal and the second control signal, so that the trigger sources in the scanning equipment follow the design principle of modular function deployment; cooperative work of the trigger source and related parts of the trigger source and the image chain is guaranteed, and resource conflicts in scanning equipment are avoided while switching efficiency is guaranteed.

A method for producing a visual record, referred to as a docu-narrative, of events at a location. The record comprises still and video images that are acquired by appropriately configured hardware. A benchmark focus and resolution are determined for an image acquisition device. Changes to the images are tightly controlled and authenticated, certified, and / or verified such that the docu-narrative includes all versions of the images and provides a chain-of-custody record. Image quality and image accuracy are significant attributes of the visual record, where accuracy is determined based on differences between an image of an object and a ground truth object within the image. Image characteristics can also be altered so that each image appears consistent with a previous and a next image; all such alterations are recorded. A target model detection spec is used to detect specific objects within an image.

This invention relates to an online depth self-testing and fault attribution method and system for sCMOS imaging systems, belonging to the technical field of scientific-grade CMOS imaging systems. It addresses problems such as reliance on manual experience for fault location, fragmented diagnostic processes, and weak ability to identify mixed faults. The FPGA in the sCMOS imaging system executes the following steps: triggering or receiving a detection command; latching board-level status bits; determining the command type, and if it is a depth test command, performing sensor status detection and training status detection; monitoring input and output side activities within the diagnostic window; selecting a set of status bits according to the command type, and generating a fault summary code through multi-domain fault attribution; and encapsulating the detection results, including at least the fault summary code, status bits of each domain, the first failed training channel number, the total number of successful training sessions, and the original temperature value, into a fixed-format result packet. This invention achieves online one-time self-testing and automatic attribution output for the imaging link, making fault location more direct, accurate, and efficient.

The invention relates to the technical field of infrared thermal image detection and digital twinning of power equipment, and provides an infrared synthetic data and domain self-adaption method based on digital twinning, which comprises the following steps of: constructing a digital twinning body of the power equipment, and aligning parameters of the digital twinning body with statistical characteristics of a real infrared sample through reverse calibration; performing multi-physical field thermal simulation to generate a temperature field; performing radiation transfer and imaging chain synthesis based on the temperature field to generate a synthesized infrared image; automatically marking the synthesized infrared image to obtain synthesized data; performing multi-target domain adaptive training by using the synthetic data as a source domain and real infrared data as a target domain to obtain an adaptive model; using the adaptive model to generate a confidence pseudo label for the target domain data, and performing gradual self-training based on the confidence pseudo label to update the adaptive model; during testing, self-adaption is carried out when testing is carried out on data without target domains, and uncertainty is output; and adding an auditing label to the output result to form a traceable evidence chain.

The application relates to the technical field of coal gangue recognition and intelligent sorting, and discloses a coal gangue recognition method based on high-speed computing spectral imaging. In the coal gangue recognition process of high-speed computing spectral imaging, the recognition result of coal and the recognition result of gangue are affected by slow drift of an imaging chain, and the boundary of the two recognition results is unstable. A progressive processing chain composed of a fixed diffuse reflection reference bar, a coal-gangue discrimination axis, a normalized discrimination axis, a running period discrimination drift coefficient and a drift constraint recognition score is constructed. The running period discrimination drift coefficient is extracted in a unified discrimination description space, and the target discrimination description vector is compensated for drift along the normalized discrimination axis according to the running period discrimination drift coefficient. In combination with a drift effectiveness marker, a coal recognition result, a gangue recognition result or a conservative sorting result is output. The method can effectively inhibit the interference of illumination fluctuation, channel drift and local observation anomaly on sorting determination, and improve the stability, accuracy and engineering applicability of coal-gangue recognition under high-speed running conditions.

The invention relates to the technical field of microfluidics, and discloses a large-view microfluidic imaging device which comprises a support frame, a first reflecting mirror, a second reflecting mirror, a first camera, a second camera, and a chip placement table and a light source which are arranged on the support frame, a micro-fluidic chip is arranged on the chip placing table, and the first reflecting mirror is obliquely arranged towards a first horizontal direction and corresponds to the micro-fluidic chip; the first camera and the first reflecting mirror are oppositely arranged; the second reflecting mirror is obliquely arranged towards a second horizontal direction and corresponds to the micro-fluidic chip, and the second reflecting mirror is overlapped with a partial region at one end of the first reflecting mirror; and the second camera and the second reflector are oppositely arranged. The first reflecting mirror and the second reflecting mirror broaden the visual field, meanwhile, the first camera and the second camera can keep high resolution, the whole imaging link has no complex mechanical scanning or delayed image transmission link, and the dynamic change of intrusive phase fluid in the micro-fluidic chip can be captured in real time.

This invention discloses a comprehensive inversion method for the entire link of target infrared intrinsic characteristics. Starting from the full-link radiation coupling imaging characteristics, a radiation coupling model of the target imaging link is constructed. Based on the coupling model and related infrared BRDF parameters, environmental radiation, atmospheric transmittance, equipment noise, and imaging effects, the comprehensive inversion of the target's intrinsic infrared characteristics is achieved, improving the accuracy of test data and providing accurate target and environmental infrared radiation data and coupling relationship data for model verification and simulation validation, thereby enhancing the credibility of the entire virtual simulation experiment.

The invention discloses a single-channel transmission CT (Computed Tomography) system, a data transmission system and a transmission method, and the system comprises a CT scanning system which comprises a single-slideway data transmission system; the scanning bracket comprises a slip ring and an image chain component; the image chain part comprises an X-ray tube, a high-voltage generator and a detector; the slip ring is connected with a CAN transceiver. The patient support is connected with the sliding ring in a matched mode; cAN communication or TRIG communication is flexibly switched in a multiplexing mode, a communication protocol is flexibly switched, information interaction of application software is facilitated, data collected by a detector is synchronized with information such as the angle of a rack and the position of a scanning bed in CT scanning, the precision of collected data is improved, a standard CAN network is compatible to the maximum degree, and real-time performance and flexibility are both considered.

The application relates to the technical field of medical equipment, and discloses a long bone shooting shake control method, system and device, the method comprising the following steps: a workstation receives patient registration information and issues a long bone splicing protocol to an exposure control board; the exposure control board acquires exposure parameters and a shooting frame rate, and simultaneously issues shooting frame rate information to a video analysis signal board; when shooting and exposure are started, the exposure control board transmits a shooting start signal to the video analysis signal board and forwards the signal to a camera, exposure procedures are coordinately controlled, and an image chain is shot at a certain frame rate; after shooting is completed, the video analysis signal board sends a shake amount of each frame of image relative to a previous frame of image to the workstation; the workstation adds the shake amount of each frame of image as a compensation amount to each frame of image for splicing; and a spliced image is output to an interface of the workstation.

The application discloses an image chain simulation method and device, equipment and a storage medium. The method comprises the following steps: acquiring multiple frames of measured object images in response to first request information sent by an image chain control system; acquiring exposure parameters corresponding to the measured object images in response to second request information sent by the image chain control system; adjusting preset image parameters of the multiple frames of measured object images according to the exposure parameters, obtaining target image parameters, and determining target image data according to the target image parameters; and sending the target image data to the image chain control system. The method solves the problem of radiation protection requirements in the aspect of environmental safety caused by radiation emitted by the existing image chain system during testing.

The application discloses a virtual machine cross-platform automatic migration method and a computer readable storage medium, and the method comprises the following steps: creating a target virtual machine corresponding to a source virtual machine in a source platform on a target platform, and creating a target image chain corresponding to each source image chain of the source virtual machine on the target platform, wherein the image chain comprises a differential image chain and a normal image chain, the differential image chain comprises a basic image, a differential disk and a differential disk snapshot, the normal image chain comprises a normal virtual disk and a normal virtual disk snapshot, and a target differential disk and a target normal virtual disk in the target image chain are mounted on the target virtual machine; and data in each source image chain is transmitted into the corresponding target image chain in a streaming mode. The application can realize cross-platform automatic migration of virtual machine data containing snapshots without relying on additional intermediate storage.

The invention discloses an airborne millimeter wave SAR disaster recognition system and method in a plateau complex climate environment, and relates to the technical field of disaster recognition. The meteorological correction module is used for constructing an SAR signal plateau meteorological correction model and correcting the airborne millimeter wave SAR echo data to obtain first corrected millimeter wave SAR data; the SAR imaging module is used for correcting the first corrected millimeter wave SAR data based on the target area DEM data to generate a millimeter wave SAR image; the feature extraction module is used for constructing a scattering-texture-terrain multi-dimensional coupling feature set; the lightweight disaster identification module is used for identifying and outputting a disaster area segmentation map and a pre-disaster and post-disaster change area map; the disaster recognition system integrates meteorological correction into an SAR imaging chain, SAR data are corrected in real time, the accuracy of SAR imaging is improved, and the precision and real-time performance of plateau disaster recognition under the complex terrain condition are improved through a constructed multi-dimensional coupling feature set and a lightweight disaster recognition model.

This application discloses a motion control method for a mobile imaging device and the mobile imaging device itself. The method includes: in motion mode, acquiring control force signals through a force detection device to control the drive motors and steering mechanisms of each drive wheel unit, thereby driving the device to move; upon receiving a mode switching command, locking the brakes, controlling each support leg to extend and contact the ground, and dynamically adjusting the support force of each support leg to raise the chassis until the wheels are off the ground; during scanning in support mode, analyzing the projection data output by the detector to obtain image quality indicators; when vibration interference is detected, real-time compensation and adjustment of the support force of each support leg based on the characteristic parameters of the vibration interference to suppress the transmission of vibration interference to the image chain. This method improves imaging stability by using support legs instead of wheels for support and performing active vibration compensation based on image quality indicators.

The application provides an image splicing system and method for a mobile C-arm, and an electronic device, comprising: a transverse movement unit arranged on an image chain assembly of the mobile C-arm, used to drive the image chain assembly to move linearly in the transverse direction, the image chain assembly comprising an X-ray ball tube and a flat panel detector; a control unit in communication connection with the transverse movement unit, used to control the transverse movement unit to move the image chain assembly to a plurality of target acquisition positions according to a movement planning path; and an image processing unit in communication connection with the control unit and the flat panel detector, used to perform image acquisition at the plurality of target acquisition positions and perform splicing processing on the acquired sequence images. The application overcomes the traditional manual or whole-machine moving positioning mode, and the image chain is driven by the built-in transverse movement unit, so that the movement of the image chain is fast, stable and the position can be accurately reproduced, and the operation difficulty and collision risk are greatly reduced.

The invention relates to the technical field of image data acquisition, and provides a double-ring structure-based mobile C-shaped arm image data acquisition method, which comprises the following steps of: S1, constructing a double-ring mobile C-shaped arm structure; s2, synchronous motion control is carried out, and synchronous same-direction motion of a sliding arm along a compensation C ring and synchronous same-direction motion of a load C ring along the sliding arm are achieved through belt transmission and gear transmission; s3, multi-mode exposure collection is adopted in the data collection process, the angle of a C ring is adjusted through man-machine interaction, perspective or photography mode exposure is executed at a fixed angle, or three-dimensional mode exposure is executed by continuous exposure at a set frame rate in the movement process to obtain multi-view image data; and S4, carrying out image calibration and three-dimensional reconstruction, calibrating an image amplification error by using an optical range finder, and carrying out three-dimensional reconstruction through a sparse representation algorithm based on multi-view image data. On the premise that the intervention opening requirement of the operating bed is guaranteed, the image chain reciprocates around a patient at a large angle, and richer multi-view image data can be collected.

The application discloses a kind of based on blockchain's image data storage and sharing method, applied to image data management system, comprising: hospital end generates the hash value of medical image and uniform resource locator and is uploaded to blockchain service background, and blockchain service background is used to manage the key corresponding to medical image and is signed to medical image chain.The patrol end is inquired after data chain, obtains uniform resource locator, and applies temporary access token to hospital end, obtains image data and calculates verification hash according to this token, and compares with on-chain hash to verify data integrity.The risk score of the image generated by the patrol end is based on the risk score to formulate differentiated inspection cycle, and the hash value of this inspection record is signed to chain, to form a complete audit closed loop.The present application improves the data credibility and flow efficiency through blockchain, and at the same time, through the inspection, it can timely find out the case that the original data is tampered with, and improve the data security.

The application relates to the field of biotechnological analysis and detection, in particular to a method for analyzing protein kinase activity by using AuNPs coupled monomolecular fluorescence imaging; the method for realizing super-sensitive detection of protein kinase based on plasmonic nanoparticle coupled monomolecular dynamics fingerprinting is to use AuNPs as a substrate, fix other components for convenient observation, meanwhile, due to the addition of AuNPs, the surface plasmon effect of gold particles is used to enhance molecular fluorescence, improve detection signal and signal-to-noise ratio, break the limitation of imaging chain concentration, and accelerate the imaging speed; compared with a traditional amplification method, the background signal is greatly reduced, zero-background detection is basically realized, non-specific amplification is prevented, and false positive signals in the amplification process are avoided.

The invention relates to a TDI spaceflight camera integral series selection method based on SNR-MTF collaborative optimization, and relates to the technical field of spaceflight optical remote sensing imaging. The technical problems that a ground system cannot accurately calculate imaging parameters through current imaging conditions before uploading parameters and is difficult to obtain an original remote sensing image with the optimal comprehensive imaging quality due to the characteristics of complex imaging link, lack of timeliness in parameter adjustment and the like of a spaceflight optical remote sensing system are solved. The method comprises the following steps: modeling an SNR calculation function; modeling an MTF calculation function; carrying out SNR and MTF normalization processing; the invention discloses a space camera integral series solving model based on a normalized SNR-MTF. Compared with a traditional method, the method has the advantages of being complete in consideration factor, good in accuracy and the like, the number of iterations in the imaging parameter optimization process can be reduced, and the method has engineering guidance value for improving parameter optimization of space remote sensing load on-orbit imaging quality.

The present application relates to a kind of high-precision optical camera model calibration method, system and equipment, belong to space machine vision, industrial vision measurement, precision optical measurement and industrial metrology detection technical field.The method of the present application includes: establishing fixed reference coordinate system;Multiple view calibration image is collected and feature point is extracted;Image relationship calculation mode is constructed;Setting parameters to be solved;Predictive image point is calculated;Multiple view joint constraint under fixed reference is constructed;Objective function is constructed and joint optimization is executed;Output calibration result.The present application takes multiple view joint calibration under fixed reference coordinate system as main line, by establishing a kind of physical-based optical camera model for describing real imaging link, space target point information, reference coordinate information, image feature information and the parameter related to imaging error are unified into same solution framework, realize the high-precision calibration and error compensation of real optical camera system.

This invention discloses a deep learning-based method for super-resolution processing of airborne optoelectronic video images. It constructs a high-order dynamic degradation model that integrates basic image degradation operations with the physical degradation mechanism of airborne optoelectronics, simulating the complex degradation process of the real imaging chain through multiple rounds of degradation loops. The dynamic degradation model generates a training dataset of low-resolution and high-resolution image pairs. A super-resolution reconstruction network is constructed based on a generative adversarial network framework. The generator uses the RRDB module for deep feature extraction and reconstructs high-resolution images through multi-stage upsampling. The discriminator adopts a U-Net structure with spectral normalization and introduces semantic consistency constraints. A two-stage course learning is performed using a domain-specific training dataset. This method can accurately simulate the complex degradation process of airborne optoelectronic imaging, improve the model's generalization ability, enhance the fidelity of tactical target details, and enable real-time inference on airborne platforms.

The application belongs to the technical field of infrared imaging, and provides a self-calibration mid-infrared single-pixel imaging method, which comprises the following steps: controlling the output intensity of a programmable thermal radiation source and applying a preset time coding, so that a single-pixel detector obtains an equivalent measurement sequence of a target object when acquiring a spatial coding measurement of the target object; the equivalent measurement sequence is recovered to obtain image information of the target object through Hadamard inverse transformation or compression reconstruction algorithm; drift parameters of an imaging link are obtained according to a time coding demodulation result of reference radiation, and the image information is aligned and similarity matched; when the image information in a self-calibration compensation state meets a threshold value with a preset stability index and the image information is matched and consistent, the image information in the self-calibration compensation state is output as an actual imaging result of the target object, so that the reconstruction accuracy and stability are improved under the conditions of thermal background change, gain fluctuation or light path transmittance change.

The application discloses a skin microcirculation imaging system and method based on functional ultrasound, and belongs to the technical field of medical monitoring. The system comprises an inertial measurement unit, a state decision and power gating module, and an ultrasound imaging link. The inertial measurement unit continuously monitors the motion state of the system; the state decision and power gating module judges whether the system enters a continuous stationary state according to a dynamic motion intensity sequence, and accordingly wakes up or puts the ultrasound imaging link to sleep; the ultrasound imaging link collects original ultrasound echo data after being woken up. During data collection, if it is monitored that the dynamic motion intensity exceeds a preset fuse threshold, the state decision and power gating module immediately suspends data collection and puts the ultrasound imaging link to sleep. The application solves the contradiction between the power consumption of a wearable device and the effectiveness of data, and realizes high-robustness, high-diagnostic-value microcirculation monitoring under super-long endurance.

The invention discloses a universal arthroscope visual positioning system and a multi-modal data fusion method thereof. The universal arthroscope visual positioning system comprises an intraoperative binocular positioning subsystem, an ultrasonic registration subsystem, an arthroscope image subsystem, a cross-brand instrument registration subsystem, a host operation and fusion subsystem and a display and interaction subsystem. The system is originally compatible with an arthroscope image system, and supports direct connection of a traditional image chain and a disposable arthroscope; a universal registration mechanism of cross-brand instruments is provided; a non-invasive intraoperative registration path is adopted, and dynamic stability maintenance is achieved; navigation information and safety prompts are overlaid in the visual field of the arthroscope in a low-delay mode, and the whole-process requirements of key steps such as approach, bone tunnel, bone grinding and implantation are covered.

The invention discloses a pipe fitting contour real-time tracking and deformation analysis method and system based on parallel backlight vision imaging, and relates to the technical field of machine vision detection and industrial online measurement, and the method comprises the steps: constructing a parallel backlight telecentric imaging link, collecting a light and shade reference through the parallel backlight telecentric imaging link, and constructing a light and shade reference map; calculating a high-brightness pixel judgment threshold value through the light and shade reference image, generating a judgment area, taking the high-brightness pixel judgment threshold value and the judgment area as input, and collecting a pipe fitting time sequence image; and extracting the outer contour of the image, carrying out cross-frame matching to output a contour sequence, taking the contour sequence as an input to calculate flattening width and curvature parameters, carrying out statistics on highlight pixels in a judgment region, and carrying out continuous frame judgment on the highlight pixels subjected to statistics in the judgment region to determine a deformation state. The method has better effects in the aspects of imaging reference consistency, contour tracking continuity and deformation state judgment stability.

The present disclosure relates generally to an imaging train for an imaging system. More specifically, the present disclosure relates to an imaging system configured to limit optical aberrations. Furthermore, the present disclosure relates to a method of limiting optical aberrations in an imaging system configured for imaging a sample, but more specifically for detecting individual detection moieties within a plurality of detection moieties.