372 results about "Digital imaging" patented technology

The invention relates to the technical field of nondestructive testing, in particular to a leak detection and partial discharge digital imaging detection method and system based on acousto-optic fusion, and the method comprises the following steps: based on channel microphone array sound wave data in a partial discharge signal suspicious region, extracting a sound wave abnormal section, positioning a sound source, matching image edge features, and synchronously marking; and analyzing the phase change of the multi-frequency signal to judge a sound source concentration area, tracking the moving trend of a disturbance point, and outputting an acousto-optic fusion positioning trend track. According to the method, the partial discharge feature recognition sensitivity is improved through high-frequency peak paragraph screening and dominant frequency recognition, the abnormal region positioning precision is enhanced in combination with image edge extraction and sound source space matching, and acousto-optic synchronous positioning and trend trajectory display are achieved through multi-frequency signal phase analysis and image frame disturbance tracking. Through fusion of frequency domain feature extraction, image recognition, dynamic comparison and other actions, the spatial precision of abnormal source recognition and the multi-source fusion analysis efficiency are improved, and the partial discharge traceability and dynamic monitoring capability are enhanced.

The invention discloses a power transmission line strain clamp electrified X-ray digital imaging detection device which comprises an X-ray machine, an imaging plate matched with the X-ray machine and a carrying unmanned aerial vehicle, an equipment frame is arranged at the lower end of the unmanned aerial vehicle, a walking mechanism is arranged on the equipment frame, and an undercarriage, a camera shooting mechanism and a power source are arranged at the bottom of the carrying unmanned aerial vehicle. The traveling mechanism comprises a dust cover, a grooved pulley and a cleaning plate, the grooved pulley and the cleaning plate are mounted in the dust cover and rotationally connected with the dust cover, and the traveling mechanism is movably connected with the equipment frame. The device has the advantages of being high in detection efficiency, good in stability and capable of achieving live detection, and solves the problems that in the prior art, in the power transmission line strain clamp detection process, power failure is needed for detection, normal life of nearby residents is affected, detection efficiency is low, and stability is poor.

The invention discloses a GIS (Gas Insulated Switchgear) tiny defect detection method and system based on X-ray multi-effect fusion, and the method comprises the following steps: firstly, exciting a latent defect in a GIS to generate partial discharge by using an X-ray photoionization effect, detecting a discharge signal by using an ultrahigh frequency method and an ultrasonic method, and after the discharge signal is processed by a noise reduction model, carrying out noise reduction on the discharge signal; and respectively obtaining an ultrahigh-frequency discharge phase spectrogram and an ultrasonic discharge phase spectrogram. Then, the imaging plate is placed on the back face of the GIS, digital DR imaging is carried out through X rays, and an X-ray image is obtained; the ultrahigh frequency discharge phase spectrogram and the ultrasonic discharge phase spectrogram are fused after being denoised, an X-ray image is combined to establish a GIS health state diagnosis model, and reliable defect detection is carried out on the GIS according to the evaluation score of the diagnosis model. According to the method, multiple effects of X-rays are fused, so that smaller GIS latent defects can be found, the detection sensitivity is remarkably improved, and the problem that the traditional method is difficult to identify the tiny latent defects is solved.

Methods, apparatuses, and systems for digital image analysis for device navigation in tissue are disclosed. The disclosed system uses real-time angiography and artificial intelligence to navigate an end effector of a surgical robot through a patient's vasculature to provide a surgical intervention. Digital imaging is performed that enables three-dimensional mapping of the patient's vasculature. Locations and movement of the end effector of the surgical robot are determined. The end effector is used to perform an intervention such as the removal of a blood clot or delivery of a drug for dissolving a blood clot.

The invention discloses a digital imaging method of an ear-nose-throat examination endoscope, and relates to the technical field of medical treatment, and the method comprises the following steps: synchronously collecting a white light image, a photoacoustic signal, a stimulated Raman spectrum, pressure sensor data and a physiological signal of a target orifice through a multi-physical field probe; constructing a four-dimensional tensor bound with the anatomical features; based on a vocal cord vibration fundamental frequency harmonic characteristic optimization graph convolutional network, dynamically constructing an adjacent matrix and coupling cross-modal characteristics to generate a submucosal lesion enhanced image; a deformable convolutional network constrained by vocal cord biomechanics is adopted, and the shape of a convolution kernel is dynamically adjusted according to the relation between real-time strain and elastic modulus, so that motion artifacts caused by swallowing actions are inhibited; generating a curvature-driven asymmetric convolution kernel based on ear canal spiral geometry, and executing super-resolution reconstruction in combination with confrontation training of fractal constraint; and fusing the white light image gradient and the pressure gradient field, and outputting a three-dimensional lesion contour consistent with the anatomical structure.

The invention relates to a hypertrophic obstructive cardiomyopathy virtual resection operation curative effect evaluation method based on individualized computational fluid mechanics, which can give visual postoperative hemodynamic indexes, predict postoperative curative effects, find an optimal resection scheme and realize preoperative accurate intelligent evaluation. Comprising the following steps of: acquiring coronary artery enhanced computed tomography image data, acquiring a coronary artery enhanced computed tomography image of a patient, and outputting and storing the coronary artery enhanced computed tomography image in a DICOM (Digital Imaging and Communications in Medicine) format; preprocessing image data, and segmenting and reconstructing a left ventricle-outflow tract structure three-dimensional model; setting a virtual excision scheme at the fleshy part; constructing a surgical resection model, and importing the model into finite element analysis software for solving; and the virtual postoperative curative effect is visualized. Verification and curative effect prediction of a patient excision scheme can be realized, and the operation success rate of a hypertrophic obstructive cardiomyopathy patient is improved.

Methods and systems for providing multi-plane viewing of a digital image of a subject matter which do not require viewing multiple images taken at multiple image planes. Pseudo-focus images are generated from a flattened, merged image of a three-dimensional subject matter. The merged image is generated by merging a plurality of images taken at different focal planes of the subject matter which form a through-focus image stack. The merged image comprises the best focus pixels originating from different respective image planes. A depth map is also generated from the multiple images which associates each best focus pixel with a pixel depth value. A plane of interest (POI) is selected from the image planes. A pseudo-focus image is then generated using the merged image and pixel depth map by generating a blurred focus value for each best focus pixel based on the focus offset of each pixel from the POI.

The invention provides a DICOM (Digital Imaging and Communications in Medicine) file sequence processing method, a medical image analysis method, system and device, a computer storage medium and a computer program product, the processing method comprises the following steps: loading a DICOM file sequence corresponding to a series of image sets obtained by tomography, and arranging according to a scanning sequence to obtain an initial image file queue; reading DICOM files from a specified position to form a key image file queue with a fixed length; and reading sequence-level DICOM metadata and image-level DICOM metadata for representing key features from the key image file queue, and arranging the sequence-level DICOM metadata and the image-level DICOM metadata according to a preset rule to obtain a sequence DICOM metadata queue with fixed length and fixed information items of each position. By adopting the scheme provided by the invention, the obtained metadata queue with the fixed dimension provides a data basis for subsequent deep learning network input, and improvement of the adaptability with the deep learning network and improvement of the analysis accuracy are facilitated.

The invention relates to the technical field of aviation composite material detection, and discloses an aviation composite material terrace multi-dimensional flatness digital imaging acceptance system. The system comprises a feature acquisition module, an imaging parameter calibration module, an environment adaptation adjustment module, a deviation threshold setting module, an imaging prediction module and an acceptance feedback control module. The feature acquisition module analyzes the multi-dimensional flatness difference to obtain a feature distribution state value; the imaging parameter calibration module screens an optimal angle and resolution combination to obtain an imaging calibration parameter set; the environment adaptation adjustment module matches the environment factors and the imaging combination to obtain an environment adaptation parameter set; the deviation threshold value setting module sets a threshold value to obtain a deviation load threshold value; the imaging prediction module deduces an imaging change trend to obtain an imaging distribution prediction value; the acceptance feedback control module analyzes errors and adjusts parameters to obtain an acceptance regulation and control scheme. According to the system, through cooperation of multiple modules, the accuracy and adaptability of aviation composite floor flatness acceptance inspection are improved, and many problems existing in traditional detection are solved.

The invention discloses a shield tunneling machine intelligent tunneling regulation and control system and method based on muck digital imaging and a knowledge graph, and the system comprises a muck image collection module, an image processing unit, a knowledge graph reasoning module, a parameter reference suggestion generation module, a visual interaction module, and a feedback and iterative optimization module. The method comprises the following steps: acquiring an image of residue soil on a residue discharge belt of a shield tunneling machine in real time, dynamically identifying a stratum type and a change trend in combination with a knowledge graph, generating a reference regulation and control suggestion of tunneling parameters of the shield tunneling machine, and displaying the reference regulation and control suggestion on a screen. According to the method, a shield tunneling machine driver can scientifically and systematically adjust construction operation, the real-time performance and accuracy of stratum recognition are improved, cutter head abrasion and shield attitude offset caused by uneven hardness or boulder strata are reduced, and construction safety and tunneling efficiency are improved; the system carries out iterative optimization on the knowledge graph and the image recognition model according to construction feedback, the adaptability and reliability of the system under different working conditions are enhanced, and the construction economy and the engineering application value are improved.

The embodiment of the invention discloses a sample data expansion method and device, electronic equipment and a storage medium, and relates to the technical field of digital imaging and deep learning, and the method comprises the steps: obtaining the digital microscopic imaging and marking of a sample data set as a training set, designing an initial data expansion model, an output image is obtained according to the initial data expansion model, the initial data expansion model comprises a feature extraction model, a feature generation model and a feature discrimination model, the feature discrimination model is used to compare the input image and the output image to obtain a loss value, and the feature generation model is optimized according to the loss value to obtain a loss value; and using the training set to carry out iterative optimization on the initial data expansion model until a set condition is reached, obtaining a trained data expansion model, and using the data expansion model to carry out expansion on the sample data set. The problems that in the prior art, model training can only be carried out on a small sample data set, overfitting is prone to occurring, the generalization ability is poor, and a good effect is difficult to obtain are solved.

Security-enhanced documents and methods of forming security-enhanced documents having indicia under a Scratch-Off Coating (SOC), and more particularly including digitally imaging video frames onto the display area and / or back of the documents. In certain embodiments, portions of digitally imaged video frames are also utilized as game play variable indicia.

Disclosed is a system including a user device, a frame, a drone, and a server. The user device enables a user to aviate the drone that is adapted to be detachably coupled to the frame. The frame is further adapted to be detachably coupled to the one or more powerlines, and includes an X-ray unit configured to capture X-ray images of the one or more powerlines. The X-ray unit transmits the X-ray images to the user device and the user device further transmits the X-ray images to the server in a digital imaging and communication in non-destructive evaluation (DICONDE) format. The server detects one or more abnormalities in the one or more powerlines by processing the X-ray images using a picture archiving & communication system (PACS) and an ADR technique, and generates data and / or reports to be viewed by the user by way of the user device.

The present invention relates to an integrated vision acquisition module for tunnel apparent defects, mainly used for solving the problems in existing detection devices of low integration level, complex debugging, low acquisition accuracy, poor environmental adaptability and the like. The vision acquisition module consists of a mounting back plate, a housing, a machine vision system, an integrated control system, a heat dissipation mechanism, a protective mechanism, and a wire arrangement mechanism. The machine vision system is encapsulated inside the mounting back plate and the housing, the heat dissipation mechanism is mounted on the back of the mounting back plate, the protective mechanism functions among the mechanisms of the vision acquisition module, and the integrated control system and the wire arrangement mechanism are mounted in the center of the front of the mounting back plate. The vision acquisition module uses a modular design, can implement accurate digital imaging of tunnel full-sections, has an overall protection grade of IP65 and good heat dissipation performance while maintaining a high degree of modularity, is adapted to different tunnel profile sections, and can complete rapid and non-contact detection of apparent defects in tunnel lining such as cracks, water leakage, and exfoliation and defects in ancillary facilities such as signal mechanisms, optical cables, and communication cables.

The invention relates to a battery pack defect detection method and device and battery pack defect detection equipment. The method comprises the following steps: acquiring battery pack information of a to-be-detected battery pack, and determining basic scanning parameters for image scanning based on the battery pack information; according to the basic scanning parameters, performing overall digital imaging scanning on the to-be-tested battery pack to obtain digital image information of the to-be-tested battery pack; acquiring defect plane detection information of a to-be-detected defect under the condition of determining that the to-be-detected defect exists in the to-be-detected battery pack according to the digital image information; the to-be-detected defect is a defect meeting an accurate detection condition; based on the defect plane detection information, accurate scanning parameters for accurate detection of the defect to be detected are determined; and accurately scanning the defect to be detected according to the accurate scanning parameter to obtain a defect detection result of the defect to be detected. By adopting the method, the nondestructive detection efficiency and the detection accuracy of battery pack defects can be improved.

The invention discloses a welding seam defect X-ray image intelligent diagnosis and credible traceability method based on multi-modal heterogeneous information collaboration, which is characterized in that a defect analysis network fusing multi-domain feature modeling and graph structure expression is constructed on the basis of bimodal data formed by a welding seam X-ray image and an industry detection standard text. In the image mode, dividing the weld seam image into a plurality of local area units through superpixel segmentation, taking the areas as image nodes, respectively extracting spatial domain, frequency domain, wavelet domain and edge domain features, and constructing a weighted graph structure by combining the spatial adjacency relation and the feature similarity relation between the areas; realizing overall modeling and correlation analysis of weld defect structure information by using a graph convolutional network; in a text mode, feature coding is carried out on an industry detection standard text, and the feature coding is used as an important prior constraint for defect judgment. Collaborative modeling of an image detection result and standard semantic information is achieved through a gating fusion mechanism, a mapping relation between a detection conclusion and a standard term is established, and interpretable expression and result credible traceability of the weld defect diagnosis process are achieved. And a welding seam X-ray film automatic digital acquisition and observation device is adopted in a matched manner, so that stable transmission, positioning observation and high-resolution digital imaging of the industrial ray film are realized, and reliable and consistent image data input is provided for the intelligent diagnosis method. The method is suitable for intelligent defect detection under complex welding seam structures and multi-working-condition imaging conditions, and has high engineering application value and popularization prospect.

An intraoral device (10, 50, 70, 100) for use in systems and methods oral care based digital imaging is provided. The intraoral device (10, 50, 70, 100) includes a mouthpiece (12) and a shroud (28, 72). The mouthpiece includes a flange (16, 86, 102), and the shroud (28, 72) extends from the mouthpiece (12). The shroud (28, 72) defines a channel (34) extending between a distal opening (30) and a proximal opening (32). The intraoral device (10, 50, 70, 100) is not configured to couple to an image-capturing device. A system and a method are provided for oral care based digital imaging.

A system and method for determining a data quality of DICOM data are provided. Information related to a data ingestion of the DICOM data from a radiology device to a database may be received. Respective data qualities of the DICOM data at the set of data ingestion stages of the data ingestion may be determined using a set of data validation rules corresponding to a set of data ingestion stages of the data ingestion of the DICOM data from the radiology device to the database. A user interface that displays information related to the respective data qualities of the DICOM data at the set of data ingestion stages of the data ingestion may be generated.

The invention provides a rocket box bottom flange welding seam digital imaging detection method and system, and the method comprises the steps: arranging a ray source at the center of the inner side of a flange welding seam, arranging an imaging plate in the circumferential direction of the outer side of the flange welding seam, and pasting an image quality indicator on the surface of one side, close to the ray source, of the flange welding seam, the ray source and the imaging plate are connected with the imaging control system through cables; relevant parameters are set through an imaging control system; and transilluminating, and enabling the image processing and display system to analyze the obtained negative film to obtain a detection result. Digital ray imaging detection is carried out by adopting a central transillumination method according to the structure of the box bottom flange welding seam, one-time transillumination detection of the box bottom flange welding seam can be realized through the circumferential transillumination line source anode target and the flexible digital ray imaging plate, the working hours of ray detection are shortened, meanwhile, the loss of a negative film is reduced, the detection efficiency is improved, and the detection cost is reduced. The method can be suitable for digital radiographic inspection of tank bottom flange weld joints with various diameters, and has high applicability.

A display apparatus includes an input device, a processor and an output device. The input device is configured to obtain initial gray scales of a display image. The processor is couple to the input device and configured to adjust the initial gray scales of the display image by using a first display data look-up table (LUT). The output device includes a display module. The output device is coupled to the processor, and configured to output a color-adjusted display image. The color-adjusted display image meets the Digital Imaging and Communications in Medicine (DICOM) Grayscale Standard Display Function (GSDF) standard, and a value of a contrast response of the color-adjusted display image is less than or equal to 11%.

The invention relates to the field of X-ray digital imaging and computer graphics, and discloses a multi-model virtual X-ray image generation method and related equipment, and the method comprises the steps: receiving rays emitted by an X-ray source simulating a real emission source to each pixel point of a detector; loading the model data to obtain a tetrahedral mesh data file, and extracting geometric information of the tetrahedral mesh data file; detecting intersection information of the ray and the tetrahedral mesh data file, and outputting intersection point data according to the intersection information; calculating the attenuation value of each ray penetrating through the loading model to reach a detector pixel by utilizing the Beer-Lanbo law according to the intersection point data; through the GPU acceleration technology, the calculation efficiency of virtual X-ray image generation is improved, and the calculation time is shortened, so that the requirement of real-time application is met, the imaging precision and authenticity are improved, the interpolation error is reduced, and the method is closer to actual radiation distribution.

The gas-phase welding equipment comprises a liquid storage tank, a preheating device, a heating cavity and a perspective imaging system, the liquid storage tank is used for storing gas-phase liquid, the preheating device is connected to the liquid storage tank and heats the gas-phase liquid to a first temperature, and the heating cavity is connected to the preheating device and heats the gas-phase liquid to a second temperature. The perspective imaging system is used for heating the gas-phase liquid until the gas-phase liquid is evaporated so as to heat a workpiece, the perspective imaging system comprises a ray imaging assembly, a servo driving mechanism and a digital imaging device, the ray imaging assembly is arranged above the heating cavity through the servo driving mechanism, and the ray imaging assembly can be located in the heating cavity through the servo driving mechanism to carry out horizontal moving scanning; the digital imaging device is arranged below the heating cavity and used for receiving rays of the ray imaging assembly to form a perspective image, and specific defect factors can be analyzed according to the perspective image of a workpiece welding spot, so that the specific defect factors are fed back to gas-phase welding equipment to adjust corresponding working parameters such as pressure, temperature, constant-temperature time and cooling slope.

A neural network (such as a transformer neural network) configured to determine radiation doses can be trained using a training corpus that comprises a plurality of different resultant radiation doses (such as, but not limited to, sparsely-written resultant radiation doses) and a plurality of different input items that each correspond to a particular one of the plurality of different resultant radiation doses. Those input items can comprise at least one, two, three, or each of a patient image (such as, but not limited to, computed tomography imagery and / or Digital Imaging and Communications in Medicine-compatible imagery), a fluence map, radiation treatment platform geometry information, and / or target dose volume information (such as, but not limited to, sparsely-read target dose volume information). A radiation dose for a patient can be generated by providing patient image information as input to a trained neural network and outputting a determined radiation dose for the patient.

The invention relates to a space-based space small target complex scene dynamic digital imaging simulation method, and relates to the technical field of space imaging simulation. The method comprises the following steps: designing a target imaging model according to simulation system parameters; pixel-level plane drawing is carried out on the target digital library, and a target contour mask of the target under the specific ground pixel resolution is obtained; mapping a fixed star in the simulation view field into the target digital image; generating a target digital image of a diversity space illumination background; sequentially superposing a plurality of transient noises on the original imaging image, and carrying out fixed noise fusion processing to generate a target digital image containing a plurality of noises; and generating a spatial imaging simulation image sequential sequence through comprehensive motion simulation. By designing the target digital library construction method based on the two-dimensional shape feature point description method and the imaging analysis model of the target digital library construction method, general digital modeling can be carried out on various space targets, and the imaging process simulation of a space camera is realized.

A portable kit for generating a digital image of a faecal sample suitable for microscopic analysis, comprises a faecal sample preparation device configured to receive a faecal sample and a faecal flotation fluid, filter a suspension comprising the faecal sample and the faecal flotation fluid to provide a filtrate, a translucent faecal sample support, and a portable digital imaging module. The portable digital imaging module comprises a housing, a camera / microscopic lens assembly configured to generate a digital image of the faecal sample on the sample support, an illumination system, a seat for receiving the faecal sample support disposed between the camera / microscopic lens assembly and illumination system, a memory for storing the digital image, a communication system for communicating the digital image to an off-site image processing module via a communications network, and a battery operatively connected to the camera and microscopic lens assembly, memory and communication system.

The invention belongs to the technical field of nuclear fuel detection, and particularly relates to an X-ray detection device for MOX fuel assembly welding seams. The device comprises a control system, an X-ray shielding chamber, an imaging detection system and an X-ray emission system, the control system is arranged outside the X-ray shielding chamber and is connected with the imaging detection system and the X-ray emission system so as to control the imaging detection system and the X-ray emission system; the imaging detection system and the X-ray emission system are arranged in the X-ray shielding chamber and used for conducting X-ray detection on the MOX fuel assembly welding seam. The X-ray digital imaging high-sensitivity on-line automatic detection of the MOX fuel assembly weld defect is realized, the blank in the prior art is filled, and the X-ray digital imaging high-sensitivity on-line automatic detection device is ingenious in design, convenient to use and suitable for being applied to the on-line X-ray digital imaging high-sensitivity detection of the MOX fuel assembly weld defect.

Devices, systems and methods for in-situ analysis of drilling fluid solids is provided. A system includes a digital imaging system and a computer system operatively coupled to the digital imaging system. The digital imaging system is coupled to a shale shaker. The shale shaker is positioned at a surface of the Earth adjacent a wellbore and configured to receive a drilling fluid including solid objects. The digital imaging system is configured to capture images or measurement data of the solid objects. The computer system includes processors, and a computer-readable medium storing instructions executable by the processors to perform operations. The operations include receiving the images or measurement data captured by the digital imaging system and determining one or more properties of a target solid object of the solid objects. The one or more properties include specific gravity or composition of the target solid object.

The invention is a method and computer system for determining one or more parameters quantitatively characterising the interaction between an antigen and an antibody. The method comprises producing a test region carrying an antigen that produces a first luminescence spectrum, bringing into contact with the test region a sample solution comprising an antibody that forms a complex with the antigen and produces a second luminescence spectrum different from the first luminescence spectrum, recording an image (30) or images of the test region with a digital imaging device, producing a 2D histogram (40) from intensity values of the image (30), performing curve fitting on the points of the 2D histogram (40), and determining the one or more parameters by means of the fitted curve.

The present invention discloses a point spread function calibration system and method for a digital imaging system based on a star point target. In the system, the star point object space target is composed of a point light source array, which is fixedly mounted on an object plane base via a point light source adjustment component. The point light source array is evenly spaced on the object plane base, and point light sources in different regions are fixedly mounted on the object plane base via corresponding point light source adjustment components. The digital imaging system is mounted on a translation stage, and the point light source array is located in a quarter of the ideal object plane of the digital imaging system. The method utilizes the system to perform point spread function detection on the digital imaging system in a sub-field of view. The present invention realizes the construction of a point spread function calibration device for a digital imaging system, and uses Zernike ki to optimize the point spread function calculated from the real-shot image, thereby effectively calibrating the point spread function of the digital imaging system.

The lumbar puncture system comprises a medical bed, a first mechanical arm, a second mechanical arm, a ray digital imaging system and a displayer, a ray detector is integrated on the medical bed, a ray generator is integrated at the tail end of the first mechanical arm, and the first mechanical arm adjusts the displacement and angle of the ray generator relative to the ray detector; the positioning grid is used for covering a puncture part of a patient and is positioned between the ray detector and the ray generator; the ray digital imaging system receives a signal of the ray detector and converts the signal into a digital image displayed by the display; a puncture module is integrated at the tail end of the second mechanical arm, and the second mechanical arm adjusts the puncture position and the puncture angle of the puncture module based on the digital image; the puncture angle and the puncture position before puncture are positioned, meanwhile, the puncture success rate is increased through imaging feedback in the puncture process, and it can be guaranteed that basic data support the success of secondary puncture even if a failure exists.