403 results about "System image" patented technology

The invention relates to the technical field of plant phenotype image processing, and particularly discloses a colloid culture plant root system three-dimensional characteristic quantification method and device, which are used for solving the problem that rapid and lossless three-dimensional observation and accurate analysis on a plant root system are difficult to realize by the existing traditional root system measurement tool and measurement method. The method comprises the following steps: culturing a plant root system under a colloid medium, acquiring a plant root system image, pre-processing the plant root system image, performing three-dimensional reconstruction on the plant root system based on SFM and NeRF algorithms, automatically extracting plant root system characteristics based on a three-dimensional reconstruction model, and integrating an optical calibration tank device into an imaging system. The optical refraction of the curved surface of the glass culture bottle can be effectively corrected, a three-dimensional point cloud is reconstructed in combination with a high-precision three-dimensional reconstruction algorithm, lossless in-situ measurement is realized, the dynamic growth process of a root system is captured, and the morphology and distribution characteristics of the root system are analyzed.

The invention relates to the field of optical system imaging, in particular to an optical system imaging quality prediction model construction method giving consideration to surface shape errors and pose errors, which adopts a Zernike polynomial to perform accurate fitting on mirror surface shape errors caused by bolt pre-tightening force, and adopts a finite element mode to perform simulation on an optical system bolt tightening process. According to the method, Zernike polynomial fitting is taken as a basic parameter, various mirror surface shape errors and assembly pose deviations are fully considered when Zemax is adopted to carry out optical path imaging simulation, and the energy concentration degree is taken as an imaging quality quantitative evaluation index, so that the optical path imaging simulation of the two-mirror optical system is realized. According to the method, an SVR proxy model containing local and global mixed kernel functions is established, sensitivity analysis is performed on mirror surface shape and assembly pose parameters, an assembly data set is obtained through assembly and imaging joint simulation, and the model is trained to obtain an imaging quality prediction model so as to realize rapid and accurate prediction of imaging quality.

An acquisition section acquires first image data from another information processing device. A display processing section displays a first image corresponding to the first image acquired by the acquisition section. An acceptance section accepts operation information of an input device for operating a first information processing device when the first image is displayed. A system image generation section generates second image data corresponding to the operation information accepted by the acceptance section. The display processing section reduces the first image and displays a second image corresponding to the second image data in a manner superimposed on the reduced first image.

The invention relates to the technical field of oral cavity imaging, in particular to an oral cavity nursing monitoring imaging system and method.The system image structure decomposition module, the local contour recognition module, the image change detection module, the abnormal area filling module and the color gamut dynamic regulation and control module are included. Functional areas are clearly divided, the area recognition precision of images is improved, particularly, in tooth boundary recognition, contrastive analysis of brightness and color differences is utilized, the recognizability of tooth contours and continuous frame tracking of tooth structure changes are remarkably enhanced, the dynamic deformation path of the tooth structure changes is displayed, the monitoring capacity of tiny changes is improved, and meanwhile, the recognition accuracy of the tooth contours is improved. The automatic completion technology is used for repairing the fracture boundary in the image and restoring the boundary continuity, and the color channel is adjusted to ensure the overall visual consistency of the image and avoid visual discordance, so that the image quality and the analysis accuracy are improved.

The invention relates to the field of mechanical engineering, in particular to an assembly error-based optical system imaging quality prediction method, which comprises the following steps of: firstly, constructing an accurate optical system finite element model, simulating a bolt tightening process, obtaining mirror surface deformation under the action of assembly stress, fitting a mirror surface shape by utilizing a Zernike polynomial, taking the mirror surface shape as an intermediate medium, and predicting the imaging quality of an optical system. The Zemax is adopted to simulate the imaging of the optical system under the conditions of mirror surface deformation and assembly poses, and the influence rule of various assembly errors on the imaging quality of the optical system is explored. Thirdly, an assembly data set is constructed through an integrated simulation method, an MLP-XGBoost combined neural network agent model is established, model training is carried out, and compared with a single MLP model, a single XGBoost model and a traditional regression model, the method has higher superiority and reliability in the prediction precision aspect. And finally, a stochastic gradient descent method is adopted to optimize the pre-tightening force under different primary and secondary mirror assembly pose conditions, the energy concentration ratio is averagely improved by 11.34% compared with the energy concentration ratio before optimization, and the assembly and adjustment efficiency and precision of the double-mirror optical system are improved.

According to embodiments, a system for imaging a blood flow in a region of interest of a patient includes: a display configured to display an image; a processor configured to execute the instructions to: obtain ultrasound imaging data based on an imaging signal; select the region of interest in the ultrasound image data; determine at least one characteristic of a blood flow in the region of interest; generate an animation indicating the at least one characteristic of the blood flow in the region of interest, wherein the animation indicates the blood flow during a single time slot; and control the display to display a static image including the region of interest and the animation within the region of interest.

The invention discloses a plant root system image and moisture high-flux in-situ automatic scanning system, and relates to the field of plant root system detection, the system comprises a transparent pipeline buried in soil and a pipeline robot moving in the transparent pipeline; the pipeline robot comprises a chassis, a lifting platform and a data acquisition unit; the chassis is used for driving the lifting platform and the data acquisition unit to move in the transparent pipeline; the lifting platform is used for driving the data acquisition unit to move up and down; the data acquisition unit is arranged on the lifting platform and used for acquiring root system images of plants outside the transparent pipeline and moisture information of soil where the plants are located. The system can automatically monitor the growth and development conditions of the profile root system and the corresponding moisture information according to the manually set measurement time interval, realizes the lossless, in-situ and high-throughput observation of the profile root system, reduces the consumption of manpower and material resources, and ensures the integrity of the plant root system.

The invention relates to a zoom binocular system image ship target identification method based on homography matrix mapping, and belongs to the technical field of marine ship target image detection and identification. According to the method provided by the invention, ship targets identified through a deep learning algorithm are in two images of a binocular camera system, and four corner points and a central point of each target serve as corresponding points and are used for constructing a calculation basis of a homography matrix. Bidirectional accurate mapping between the visible light and the infrared image is realized through the constructed homography matrix, and target recognition of deep learning is supplemented. And a homography matrix group based on focal length change is constructed by adjusting the focal length of the binocular imaging system. When missing detection target identification of supplementary deep learning is carried out, the most suitable homography matrix is selected from the matrix library to be applied according to the current imaging condition and the focal length, and detection identification of missing detection or even zero detection ships obtained by a certain modal image only by using the deep learning method is realized.

The invention provides an optical detection device, a soil element detector and a soil element detection method. The device is characterized in that a laser beam expanding and collimating system performs beam expanding and collimating on laser emitted by a laser and inputs the laser into a multiplexing folding light path system; the multiplexing folding light path system carries out light beam folding on the laser subjected to beam expansion and collimation to obtain folding system emergent laser, and the folding system emergent laser is input into the surface scanning light path system; the surface scanning light path system focuses laser emitted by the folding system on a surface scanning target surface window to generate plasma; the spectral signal acquisition light path system acquires signal light radiated by the plasma; and the imaging system is used for imaging the window of the surface scanning target surface window on the CMOS camera. According to the device, through the design of a multi-stage optical system, the functions of laser beam expanding, collimation, folding, focusing, signal acquisition and the like are modularized, and each module is independently optimized to improve the stability of the whole device, so that the stability of data is improved, rapid and accurate scanning type detection on a to-be-detected surface is realized, and the anti-disturbance capability is improved.

The invention relates to the technical field of unmanned aerial vehicle load system image registration, in particular to a visible light and infrared image registration fusion method for an unmanned aerial vehicle photoelectric turret. Comprising the following steps: measuring and calibrating a relationship between a visible light camera focal length and a visible light Y-direction field angle on the ground, recording the relationship between the field angle and the focal length as a file, and storing the file on a camera control panel; the camera control panel controls the movement of the visible light camera through a PID algorithm until the field angle of a single pixel of the visible light image is matched with the field angle of a single pixel of the infrared image; extracting different-source image descriptors, matching the different-source image descriptors, storing the projection relation of each pixel coordinate as a matrix A, and calling to complete registration; and calculating the local contrast and information entropy of the visible light image and the infrared image, dynamically adjusting the fusion proportion, and generating a registration fusion image. The method has the advantages that simple calibration on the ground is only needed; and after zooming, a registration algorithm is operated on an airborne computer, and the efficiency and accuracy of feature matching are improved in combination with a multi-scale descriptor.

Systems, methods, apparatuses, and computer program products are disclosed for employing a hybrid boot to reimage a target device using a mobile device. A mobile device provides, to a target device, a boot file configured to execute an intermediate operating system. The mobile device performs a user presence check to determine whether the target device is in proximity to the mobile device. Responsive to determining that the target device is in proximity to the mobile device, the mobile device provides, to the intermediate operating system on the target device, transfer information associated with at least a first restricted-access portion of a customized system image to cause the intermediate operating system to obtain the first restricted-access portion of the customized system image and reimage the target device based at least on the first restricted-access portion of the customized system image.

The invention provides an operating system deployment method and device, equipment, a medium and a program product, and can be applied to the technical field of artificial intelligence. The method comprises the steps that in response to a received operation system deployment request, an operation system mirror image corresponding to a to-be-deployed server is determined based on the server type of the to-be-deployed server carried by the operation system deployment request, and the operation system mirror image is customized based on the operation requirement of the to-be-deployed server; based on the system configuration script, installing the operating system mirror image in the to-be-deployed server to obtain an initial operating system; determining a target configuration group for the to-be-deployed server based on the server type, the target configuration group being obtained by combining target atomic configurations determined from a plurality of initial atomic configurations based on the server type; and based on the configuration running instruction, running the target configuration group in the initial operating system to obtain a configured target operating system.

The invention relates to the technical field of unmanned aerial vehicle load system image registration, in particular to an infrared image and SAR image registration fusion method in dynamic flight of an unmanned aerial vehicle. Comprising the following steps: measuring and calibrating a relationship between an infrared camera focal length and an infrared Y-direction field angle on the ground, recording the relationship between the field angle and the focal length as a file, and storing the file on a camera control panel; the camera control panel controls the movement of the infrared camera through a PID algorithm until the field angle of the single pixel of the infrared image is matched with the field angle of the single pixel of the SAR image; extracting different-source image descriptors, matching the different-source image descriptors, storing the projection relation of each pixel coordinate as a matrix C, and calling to complete registration; and calculating the local contrast and information entropy of the infrared image and the SAR image, dynamically adjusting the fusion proportion, and generating a registration fusion image. The method has the advantages that simple calibration on the ground is only needed; and after zooming, a registration algorithm is operated on an airborne computer, and the efficiency and accuracy of feature matching are improved in combination with a multi-scale descriptor.

The invention provides a transformer substation hardware wear detection method based on improved YOLOX and a related device, and belongs to the field of power system image processing. The method comprises the following steps: acquiring RGB and thermal infrared images of the transformer substation hardware fitting, and carrying out registration to obtain a multi-modal image pair; and inputting the image pairs into a wear detection model based on an improved YOLOX network, and obtaining a wear detection result through feature enhancement and detection. The improved YOLOX network uses an MGFM module to fuse image features in a backbone network part, and feature representation is enhanced through a graph attention network; and the neck network part adopts a PANet introduced with DMA to carry out multi-scale feature optimization. According to the method, RGB and thermal infrared images are combined, and the improved YOLOX network is utilized, so that the detection capability of the wear characteristics of the hardware fitting in a complex environment is improved, missing detection is reduced, the detection precision is improved, and the requirement of a power system for high-precision detection is met.

The invention relates to the technical field of panoramic morphology and deformation measurement, and particularly discloses a multi-view digital image correlation measurement method based on a mirror-assisted full surface, and the method comprises the steps: arranging and configuring a novel mirror-assisted multi-view digital image system of an optical structure; samples and calibration image pairs of a tested sample in a mirror surface and a prism before and after deformation are collected based on a system, system imaging parameters are calibrated based on the calibration image pairs, and a virtual curved surface, the three-dimensional shape of the mirror surface and three-dimensional coordinates of a real point and a virtual point of a calibration plate are reconstructed. And calculating the reconstructed data points to obtain a reflection transformation matrix of the mirror surface and the prism pair, and reflecting the virtual surface to a corresponding real position based on the matrix to obtain the panoramic contour of the tested sample in the initial and deformation states. And synchronous high-definition images of samples at different field depths can be obtained, and dynamic high-precision three-dimensional deformation and contour measurement of object parts in different field depth ranges can be realized.

A method of operating an orthopaedic surgical system may include displaying a unique identifier on a visual display of a first device positioned in an operating room, the unique identifier being associated with a digital medical record of a patient positioned in the operating room, capturing the unique identifier with a camera of a second device positioned in the operating room, establishing a unique electronic connection between the second device and the digital medical record of the patient based on the unique identifier, capturing one or more images of the patient with the camera of the second device, transferring the one or more images from the second device to the digital medical record of the patient using the unique electronic connection, and accessing the one or more images with the first device to guide performance of an orthopaedic surgical procedure on the patient.

The invention provides display equipment and a display method, relates to the technical field of display equipment, and aims to display art paintings by using application image quality parameters different from system image quality parameters so as to improve the user experience. The method comprises the following steps: in response to an opening instruction, opening a first application and displaying a display page of the first application, calling a first application image quality parameter of the first application to display a first picture in the display page, and disabling a system image quality parameter; when the first picture is displayed in the display page, displaying an application setting menu in the display page in response to the first control instruction; the application setting menu comprises a plurality of application image quality setting items; and under the condition that the first picture and the application setting menu are displayed on the display page, in response to receiving a first adjustment instruction for the at least one application picture quality setting item, adjusting the first application picture quality parameter into a target picture quality parameter, and displaying the first picture in the display page by adopting the target picture quality parameter.

The invention relates to an embedded operating system software configuration method and device. The method comprises the following steps: receiving a running environment required by a to-be-used embedded application scene selected by a user; a corresponding operation environment software package is obtained from a scene-oriented operation environment application set based on the selected operation environment, and the scene-oriented operation environment application set comprises a plurality of operation environment software packages; receiving a hardware platform which is selected by a user and is adaptive to the corresponding running environment software package; acquiring a corresponding kernel compiling configuration file based on the selected hardware platform; generating a system mirror image file according to the corresponding running environment software package and the corresponding kernel compiling configuration file; and installing the system mirror image file to a target machine. According to the method, the software set required by the system can be configured at the host end, and the system mirror image file is generated according to the configuration, so that the problem that embedded scene development and use are too tedious and time-consuming in the prior art is solved.

The invention relates to the technical field of power system image processing, and discloses a self-attention-based power transmission channel tree obstacle remote sensing detection method, which comprises the following steps of: firstly, acquiring extremely high resolution remote sensing image data, then preprocessing image mosaic, sliding window cutting and the like, and constructing a sample library at the same time; 5% of image blocks are randomly selected to be manually marked for training, the marked categories comprise tree obstacle areas, electric power facilities and other backgrounds, an electric power facility detection network and a tree obstacle detection network are constructed and trained, tree obstacle detection is carried out in a power transmission channel, and tree obstacle detection is carried out in the power transmission channel. And overlapping and splicing the detected facility results such as the power line and the tree obstacle area to the original image size to obtain an overall tree obstacle detection result. According to the method, extraction is carried out through the two single-task networks, and then results are subjected to overlay analysis, so that the interference of an interlaced region when a multi-classification task is realized by using one network and the influence of class imbalance on precision are avoided.

The invention relates to an EOS-like three-dimensional data generation method, in particular to a method for generating EOS-like three-dimensional data through CT scanning data, a computer program product and terminal equipment, and solves the technical problem that an existing EOS-like three-dimensional data generation method is low in efficiency and precision. According to the method, a physical projection model based on EOS system geometric parameters is constructed, the geometric projection process of EOS system imaging is precisely restored, and a style migration network and a three-dimensional reconstruction network are established by means of deep learning; the style migration network realizes conversion from CT scanning data to biplanar EOS data by utilizing the view angle complementary characteristic of front and side projection; according to the three-dimensional reconstruction network, an adversarial learning architecture of double generators and double discriminators is utilized, and high fidelity of generated EOS-like three-dimensional data in geometric structure and texture details is ensured through collaborative optimization of adversarial training and cyclic consistency constraint. The matching of the style migration network and the three-dimensional reconstruction network can greatly improve the generation efficiency and precision of the EOS-like three-dimensional data.

In certain embodiments, an ophthalmic system images an eye region comprising at least one eye. The system includes a camera system and a computer. The camera system includes cameras that yield image portions of the eye region. Each camera is located at a position relative to the eye region and yields an image portion. The computer receives the image portions from the camera system. A first image portion is provided by a first camera, and a second image portion is provided by a second camera. The computer identifies identify target pixels of the first image portion, where the target pixels image a location of the eye region; determines image information of correction pixels of the second image portion, where the correction pixels image the same location of the eye region; and corrects the target pixels using the identified image information.

The invention discloses a railway catenary icing detection method and system based on polarization imaging and a storage medium, and belongs to the technical field of catenary icing detection, and the method comprises the steps: obtaining a to-be-detected railway catenary image containing polarization characteristics; inputting the to-be-detected railway overhead line system image into a pre-trained icing detection model to obtain an icing detection result; the acquisition method of the pre-trained icing detection model comprises the steps that a contact network icing sample set is acquired, the contact network icing sample set comprises contact network icing images, and the contact network icing images comprise polarization characteristics; inputting the overhead line system icing sample set into a pre-constructed image segmentation network to obtain a trained icing detection model, and using the image segmentation network to perform segmentation of different types of regions on the railway overhead line system image based on the difference of polarization characteristics of an overhead line system region and an icing region to obtain a real-time detection result of the icing region, accurate icing state measurement is realized.

The invention discloses a digital fixed asset electronic tag management system, which relates to the technical field of digital management and comprises a tag management unit, an asset management unit, an information acquisition unit, a system management unit, an inventory management unit and a fault early warning unit. According to the information of the fixed assets, a unique corresponding electronic tag code can be generated, the situation of fixed asset confusion is avoided, meanwhile, image acquisition and processing are performed on the fixed assets, feature information in the image is extracted, the feature information is matched with features in a system image library, and a matching result is verified and evaluated; similar fixed assets are prevented from being stored and confused, the fixed asset management accuracy is improved, through feature extraction and evaluation of different fixed assets, a fault prediction model is established, possible faults of the fixed assets are predicted in advance, early warning information is sent out in time, and a maintenance plan is made. And the fault probability of the fixed assets in the production process is reduced.

The invention discloses a scene-based non-uniformity correction method, and relates to the technical field of image processing. According to the method, the key frame and the non-key frame are identified by analyzing the difference degree of continuous image sequences of the night vision system, extracting the difference region and evaluating the importance score of the frame in combination with the information entropy of the image; for the key frame, carrying out full-frame storage and on-line average calculation to generate an initial non-uniformity correction parameter; non-key frames only reserve difference area data, local updating is carried out based on correction parameters of the key frames, and the correction effect is further optimized through statistical characteristics of difference areas; and the standard deviation convergence condition is dynamically adjusted, the non-uniformity correction precision is optimized, newly added key frames are automatically processed in the real-time image sequence, and redundant data are deleted. According to the method, the image processing efficiency and the correction precision are remarkably improved, the redundancy calculation and storage overhead are reduced, the adaptability is high, correction parameters can be optimized in real time, and the method is particularly suitable for efficient and accurate night vision system image processing.

The invention discloses a drive program installation method and electronic equipment, and relates to the technical field of software. According to the scheme, the driver files of all the devices of the server are stored in the preset storage medium in advance, so that the completeness of driver programs of all the devices is ensured, which is the premise of executing device driver updating and installation; meanwhile, when the operation system mirror image is installed, the target drive file of the undriven device in the storage medium can be read, loaded and installed based on the target installation environment of the operation system mirror image, the drive file does not need to be integrated into the operation system mirror image in advance, and the operation system mirror image version release is not depended on; therefore, the problems that the period of releasing the new ISO mirror image by the system issuer is long, and the new parts cannot be used due to the update lag of the drive program are solved, and the rapid popularization and application of the new parts of the server are facilitated.

The invention discloses an array circuit based on an inverted counting type TDC. The array circuit comprises a pixel array composed of pixel units, a data output module, a synchronous signal generation module, a time sequence control circuit and an initial and final phase detection module. Each pixel unit comprises an active quenching interface circuit AQC, a low-error-code inverted counting type time-to-digital converter TDC and a data transmission path switching module; and the initial and final phase detection module comprises an initial phase detection module contained in each TDC and a common final phase quantization module shared by the array. The initial phase detection module contained in each TDC can finely distinguish the initial phase error at the rising edge of the STOP signal, and the common end phase module can quantify the common end error at the falling edge of the EN signal, so that the resolution of the TDC is improved. The system imaging distance can be expanded, the system power consumption can be reduced, the TDC bit error rate can be reduced, the precision can be improved, and the time synchronization problem can be solved on the premise of not violating the working optical constraint of the system in the application scene of weak light and long-distance transmission.

The invention relates to the technical field of electrical design, and discloses a low-voltage power distribution cabinet system diagram drawing method and system, and the method comprises the steps: obtaining a prefabricated file; engineering information is input into the prefabricated low-voltage power distribution cabinet loop information table, and an effective low-voltage power distribution cabinet loop information table is generated through automatic calculation; an EXCEL VBA program is operated in the effective low-voltage power distribution cabinet loop information table, and an effective low-voltage power distribution cabinet loop arrangement table is automatically generated; adjusting the original input data, adjusting the result of model selection matching calculation, and automatically generating an effective low-voltage power distribution cabinet system diagram table by using a cell formula; an EXCEL VBA program is operated in the effective low-voltage power distribution cabinet system graph table, and a low-voltage power distribution cabinet system graph book file is automatically generated; running a CAD VBA program to read a low-voltage power distribution cabinet system image-text file, and automatically drawing a low-voltage power distribution cabinet system diagram; according to the method, the working efficiency and the design quality are effectively improved, the practicability is effectively improved, and meanwhile good compatibility is achieved.

The invention discloses an automatic report generation method based on a large model Agent, which comprises the following steps: user demand input: transmitting a demand provided by a user to the large model Agent for processing to obtain an executable code; the generated executable code is used as core logic of an application program, and a system mirror image is generated through a virtualization technology; the system mirror image is mounted in the cloud native service platform through the MCP mirror image mounting service; database operation and data table generation; performing intelligent analysis on the result data by using a large model knowledge base; an analysis result is transmitted to an MCP data visualization service for data visualization; the final results are summarized to form a report with illustrations and texts; and exporting the report. According to the method, the data analysis report can be efficiently and automatically generated, manual intervention is reduced, the working efficiency is improved, meanwhile, high expandability and flexibility are achieved, and the method is suitable for various data analysis tasks.