128 results about "Digital imaging" patented technology

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 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 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.

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.

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 invention discloses a nondestructive testing method for a converter valve voltage-sharing electrode based on ray digital imaging. The nondestructive testing method comprises the steps that a detector wears protective equipment, carries an X-ray emitter, an imaging device and a portable terminal and rises to a detection point; the X-ray emitter and the X-ray imaging device are fixed to the two sides of an electrode respectively, and communication connection among the X-ray emitter, the X-ray imaging device and the portable detection and analysis terminal is established; the portable detection and analysis terminal generates a unique identity code for the electrode, controls X-ray exposure to obtain a digital image, automatically identifies and quantifies the electrode defect by calling a built-in image analysis model, and predicts the electrode health degree and matches a preventive maintenance decision based on a defect quantification result and a pre-stored health archive library. According to the device and the method, the converter valve voltage-sharing electrode is subjected to visual nondestructive testing in a non-dismounting state, the defects of the converter valve voltage-sharing electrode are quantitatively and intelligently evaluated, and safe and stable operation of converter valve equipment is guaranteed.

Disclosed are systems and methods for generating electronic instruments that implement digital transfers. The systems convert instruments to an electronic format using a digital imaging source that outputs image data. The image data is processed to determine content elements and segments of the electronic instrument and to extract transfer data. Neural networks implement artificial intelligence and machine learning technology that is used to secure the transfer instrument and detect inconsistencies or errors in the data.

1. Name of the product in this design: Graphical User Interface for Patient Information Operation and Management of Electronic Device. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key points: the front view. 5. Purpose of the graphical user interface: A graphical user interface used to run software programs and manage patient information operations on a multi-device platform for dental digital imaging. 6. Human-computer interaction method of graphical user interface: The main view is the display interface of patient information. Clicking the "Add Patient" icon on the right side of the search bar in the upper left corner of the main view will enter the interface change state diagram 1; clicking the "Show All Information" button in the interface change state diagram 1 will enter the interface change state diagram 2.

This invention relates to the field of image processing technology, and more specifically, to an automatic defect identification method for X-ray digital imaging based on response compensation, comprising the following steps: Step 1: Performing two consecutive pulse exposures at high and low energy levels on the same welded workpiece to obtain a high-energy line integral attenuation map and a low-energy line integral attenuation map; Step 2: Solving a system of dual-energy attenuation equations pixel by pixel using spectral weighted attenuation parameters; generating a defect equivalent thickness map and a refined equivalent atomic number distribution map; Step 3: Feeding the high-energy compensated image, the defect equivalent thickness map, and the refined equivalent atomic number distribution map into a material-aware segmentation network to output a defect probability map; outputting the defect category determination result. This invention elevates defect identification from the traditional grayscale domain to the material domain, effectively eliminating the interference of workpiece wall thickness variations on defect contrast and overcoming the problem of easy confusion between different defect categories when relying solely on a single grayscale feature.

The invention discloses a full-hole-wall digital imaging rock mass fracture intelligent identification and analysis system, which relates to the technical field of rock mass fracture identification, and comprises a rock mass image data acquisition system, a data integration and processing system, a calculation and analysis system, a fracture identification system, a rock mass fracture construction system and an information display system. According to the invention, the accuracy and practicability of full-hole wall digital imaging crack detection and data analysis can be improved.

The invention relates to an intelligent depth reconstruction architecture and method for a strip-shaped scintillator, and the architecture specifically comprises a position sensitive strip-shaped scintillator which is used for converting incident radiation particles into photon signals, and converting the photon signals into pulse signals through silicon photomultipliers coupled to the two ends of the scintillator; the analog front-end circuit is used for amplifying and shaping the pulse signal, then completing high-speed sampling through a high-speed analog-to-digital conversion circuit module and converting an analog signal into a digital signal; the field programmable gate array data processing module is used for digital imaging preprocessing, amplitude extraction and time marking operation, and meanwhile, key information is added to each event data; an auto-encoder model based on an artificial neural network is deployed in a data processing module of the neural network processing unit, and the neural network processing unit is used for carrying out feature extraction and mode matching analysis on the input signals and outputting reconstruction parameters corresponding to interaction positions in the strip-shaped scintillators. And localized intelligent processing of the nuclear pulse signal is realized.

A shoulder orthosis configured to control a position of the humeral head / arm relative to a shoulder joint by adjusting tension across a joint. The orthosis allows a user to modify a direction and magnitude of force applied while wearing the orthosis. The orthosis may contain cams or extensions to direct and amplify force around the joint towards a specific range of motion. The orthosis can be made from digitally imaging joints and then partially or fully automating the design of orthosis.

A visualization system for use during an ophthalmic procedure. The system includes at least one illumination source configured to emit in a visible and an invisible light spectrum, a light filter configured to allow light within a filtered light spectrum, and an image sensor assembly configured to detect first and second sets of images from the visible and invisible light spectrums, respectively. The system also includes an electronic control unit (ECU) in communication with the at least one illumination source and the image sensor assembly. The ECU is programmed to activate the at least one illumination source to emit light in the visible and the invisible light spectrum and receive image data from the image sensor assembly representative of the first and second sets of images. The controller is also programmed to generate and display at least one composite image based on the first and second sets of images.

The visible component detection accommodating device and the detection device comprise a detection part A and a detection part E; the detection part A comprises a cavity A, the cavity A is used for accommodating a sample A, the cavity A is used for shooting a microscopic magnification image of the microscopic examination sample, and the microscopic magnification image is used for visible component analysis; the detection part E comprises a cavity E; the cavity E is used for accommodating a sample E for static layering; the hierarchical information of the sample E is used to calculate the volume of the component in the visible component. The detecting device is matched with the visible component detecting and accommodating device; comprising a microscopic amplification digital imaging assembly and a layered detection assembly, the microscopic magnification digital imaging assembly is used for shooting a microscopic magnification image of the microscopic examination sample; obtaining an image of the sample in the cavity A for visible component analysis; the layering detection assembly is used for obtaining layering information of the sample E.

The utility model discloses a microscope light splitting adjustment device, which is applied to a microscope, the microscope comprises a microscope main body and an eyepiece, the microscope light splitting adjustment device comprises a light splitting unit, a lens and a digital imaging unit, the prism table is connected with the microscope main body and can move and adjust along an X axis and a Y axis, the beam splitter prism is arranged in the prism table and is used for dividing light reflected by an observation sample into two paths, one path is transmitted to the eyepiece, and the other path is transmitted to the digital imaging unit after passing through the lens; the lens is connected with the prism table; and the digital imaging unit comprises a digital imaging chip, and the center of the digital imaging chip is coaxial with the optical axis of the lens. According to the device, the digital imaging unit and the observation part are integrated, multi-degree-of-freedom adjustment is realized, the installation precision can be ensured, the detection accuracy of the microscope is greatly improved, and the installation and adjustment are more convenient.

The utility model relates to the technical field of single-tube telescopes, and discloses a single-tube telescope with a protective structure, which is characterized in that a right-angle reflecting prism is arranged on the eyepiece mounting side of a telescope body, and an observation eyepiece and an electronic eyepiece are connected and mounted through a switching tube seat; when in use, the rotary switching of the butt joint position of the observation eyepiece and the electronic eyepiece can be realized through rotary transposition, so that the telescope can be quickly switched between a physical imaging mode and a digital imaging mode, and the use functionality of the device is greatly improved; the objective lens protecting cover is connected and installed by matching the overturning connecting block with the long-strip-shaped notch with the fixed-axis type supporting shaft column, and after the objective lens protecting cover is opened, the objective lens protecting cover can be stably kept in a flat-open state and is fixedly adsorbed and installed on the upper portion of the lens through magnetic adsorption between the first magnetic block and the second magnetic block. The objective lens protecting cover does not swing along with movement of the lens to hinder equipment operation, and compared with a traditional hanging type mounting structure, the mounting structure has better storage attractiveness.

This invention discloses a non-destructive testing method, apparatus, electronic equipment, and storage medium for defects in hydrogen storage cylinders, belonging to the field of hydrogen storage cylinder testing technology. The method involves setting testing equipment parameters based on the basic information of the hydrogen storage cylinder and determining the configuration information of the information processing equipment; performing digital imaging radiographic testing on the hydrogen storage cylinder according to the testing equipment parameters; acquiring test images of the hydrogen storage cylinder based on the digital imaging radiographic testing results; analyzing the validity of the test images based on the clarity information of the hydrogen storage cylinder in the test images; and determining whether the testing method and testing equipment need adjustment based on the analysis results; and identifying defects in the hydrogen storage cylinder using the valid test images. This method achieves non-destructive testing of hydrogen storage cylinder defects, ensuring the stability, comprehensiveness, and accuracy of the test results.

The invention relates to the technical field of artistic pattern recognition, and provides an artistic pattern recognition system based on artificial intelligence, which comprises a data acquisition module, a feature extraction module, a feature selection module, a texture analysis module and a result evaluation module.The artistic pattern recognition system overcomes the defects in the prior art and is reasonable in design and high in practicability. A digital image of the surface of an artwork is obtained through high-resolution digital imaging equipment, denoising, white balance correction and image enhancement processing are carried out to ensure image quality, then texture feature vectors are extracted through a rotation invariant local binary pattern method, texture features can be effectively extracted, rotation invariance is achieved, and classification robustness is improved; the screened features are input into the pre-trained deep learning model, the artistic pattern category probability is output, the deep learning model is used for learning texture features, and the generalization ability and classification performance of the model are improved.

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.

Each of the multifunctional detection sample accommodating device and the multifunctional detection device comprises a detection part A and a detection part B; the detection part A comprises a cavity A; the cavity A is used for accommodating a sample A, the cavity A is used for shooting a microscopic magnification image of a microscopic examination sample, and the microscopic magnification image is used for visible component analysis; the detection part B comprises a cavity B; the cavity B is used for accommodating a sample B, the cavity B is used for optical detection analysis of the sample, and the optical detection analysis is used for detection-free analysis of the sample B. The multifunctional detection device comprises a microscopic amplification digital imaging assembly and an optical detection assembly, the microscopic magnification digital imaging assembly is used for shooting a microscopic magnification image of the microscopic examination sample; and obtaining an image of the sample in the cavity A for visible component analysis. Light in the optical detection assembly irradiates a sample in a cavity B of the external multifunctional detection device, and detection-free analysis of the sample is carried out according to optical reaction characteristics of the sample.

The invention relates to the technical field of electrical equipment nondestructive testing, in particular to an electrical facility X-ray digital imaging mobile inspection system which comprises a special detection vehicle, an X-ray source adjustable foot stool, an imaging plate adjustable foot stool, X-ray emission equipment, a DR imaging plate, a vehicle-mounted workstation, a shooting mechanism, wireless receiving equipment and a control mechanism. The special detection vehicle is provided with a control cabin and an equipment storage cabin, the control cabin is a totally-enclosed lead room, and the equipment storage cabin is provided with a radiation protection mechanism; the X-ray source adjustable foot stool and the imaging plate adjustable foot stool each comprise a cross-shaped sliding table base, a multi-stage telescopic stand column and a three-axis pan-tilt joint module, and the multi-stage telescopic stand columns are arranged on the cross-shaped sliding table bases. Through vehicle platform integration, foot stool six-degree-of-freedom precise control, AI real-time defect diagnosis and radiation protection, full-process automation, high safety and high adaptability of X-ray detection of electric power facilities are achieved.

The invention relates to a method and a system for measuring strain of an ice sample in a uniaxial compression test process by using a crystal texture digital image. The method comprises the following steps: preparing the ice sample: preparing the ice sample according to a predetermined direction of the uniaxial compression test; polarized light imaging arrangement: placing the ice sample between a chassis and a pressure plate of a uniaxial compression testing machine; a cold light source with adjustable brightness is arranged behind the ice sample, and a polaroid is arranged between the cold light source and the ice sample; arranging a high-speed camera in front of the ice sample and installing a polarized lens to receive polarized light passing through the ice sample; adjusting image quality: enabling the length direction of the ice sample to be along the loading direction of a tester and the thickness direction to be along the light path direction of polarized light; uniaxial compression test and synchronous acquisition; calculating a strain field: calculating a strain field and a deformation field of the surface of the ice sample according to a digital image correlation method based on the polarized light grayscale images of the ice sample at adjacent moments; and identifying crack propagation.

This invention provides a binocular high-resolution digital imaging real-time stereoscopic vision microscope system, comprising a binocular microscope body (consisting of a binocular zoom parfocal optical path and a microscope magnifying objective camera), a binocular imaging subsystem, and a stereoscopic image display. The binocular imaging subsystem includes: an image projection correction calculation module, which acquires original left and right image data through the binocular microscope body, performs manufacturing parameter consistency correction and image projection correction on the original left and right image data, and obtains a projection distortion-corrected image; and a stereoscopic image output calculation module, which, based on the distortion-corrected image, performs photographic spatial projection position and attitude correction to obtain a large depth-of-field digital stereoscopic image, and transmits the ultra-depth-of-field digital stereoscopic image to the stereoscopic image display for real-time display. This invention can obtain nanometer-level sampling resolution digital images, eliminate image projection distortion caused by manufacturing and installation errors of the microscope body, and achieve high-resolution, high-magnification microscopic stereoscopic image observation.

Provided are an apparatus and method for verifying forgery and tampering of a medical image. An apparatus for verifying forgery and tampering of a medical image according to an embodiment disclosed in this document includes a memory configured to store Digital Imaging and Communications in Medicine (DICOM) files for each patient, and a processor functionally connected to the memory, wherein, when an issuance request of a DICOM file is received, search for a DICOM file corresponding to the request among DICOM files for each patient; generate an issuance number related to the issuance; extract some information from metadata of the searched DICOM file; generate a first hash value using the some information and the issuance number; and upon providing a copy of the DICOM file to an external storage device, insert the first hash value as forgery verification information into a specified tag area of the copy.

Digital imaging and artificial intelligence (AI)-based systems and methods are described for analyzing pixel data of a product to determine product dosing. A product identifier of a product is detected, and a dosing application (app) receives a set of digital image(s) comprising pixel data depicting a dosage of the product and at least one of: (a) a product appliance configured to apply the product, or (b) a product implement configured to receive the product. An analysis is generated comprising a dosage comparison comparing the dosage of the product to a target dosage defining an expected dosage of the product at a first-time state. A feedback indication is output designed to address at least one feature identifiable within the pixel data comprising the dosage of the product.

A method, system and computer program product for anonymous and secure sharing of medical images through a messaging tool within a picture archiving and communication system (PACS), the PACS comprising medical images captured by a medical imaging apparatus, wherein the medical images include associated digital imaging and communications in medicine (DICOM) data. The method includes: displaying a messaging tool GUI including a dialog thread pane, a message input field, and an icon for capturing a snapshot of a viewer GUI displaying at least one medical image including a DICOM data overlay layer comprising protected health information (PHI) of an imaged subject; capturing the snapshot of the viewer GUI displaying the at least one medical image; generating a de-identified medical image based on the snapshot of the viewer GUI displaying the at least one medical image, wherein the de-identified medical images excludes the PHI.

Particular embodiments disclosed herein provide methods and systems for aligning multi-core fibers with multi-spot laser beam patterns of laser surgical systems. In particular, certain aspects provide techniques for aligning a rotational angle, or “clocking” angle, of a multi-core fiber with a fixed multi-spot laser beam pattern of a laser system utilizing digital imaging and analysis.

This invention discloses a model test apparatus and method for analyzing the influence of seepage force on sediment initiation under wave-current action. The apparatus includes a horizontal water tank made of plexiglass, a wave-current generator, a seepage force generator, and a data acquisition module. The combined reciprocating motion of a first and second piston installed at the end of the horizontal water tank creates a reciprocating flow to simulate wave motion. A circulating water system is added to simulate the combined effect of wave and current. A first water reservoir simulates different water depths through air pressure regulation. The seepage force generator is used to place sediment samples and generate seepage force with a specified distribution. The data acquisition module is used to collect the data required for the experiment. The sediment initiation process is observed using a high-definition digital imaging device combined with image processing technology. This invention has the advantages of small footprint, convenient operation, and precise control.

The invention discloses an aluminum alloy casting quality evaluation method and system based on X-ray digital imaging, and relates to the technical field of aluminum alloy casting quality evaluation. According to the aluminum alloy casting quality evaluation method based on X-ray digital imaging, casting X-ray digital image data of a plurality of angles of a to-be-evaluated aluminum alloy casting are obtained, and casting fusion X-ray digital image data of the to-be-evaluated aluminum alloy casting are analyzed; and based on a pre-trained casting quality evaluation model, in combination with the casting fusion X-ray digital image data of the to-be-evaluated aluminum alloy casting, the casting quality response characteristic value of the to-be-evaluated aluminum alloy casting is analyzed, and quality evaluation processing is performed on the to-be-evaluated aluminum alloy casting based on the casting quality response characteristic value. Therefore, complementarity of defect performance at different angles can be effectively strengthened, the imperceptible defect with weak performance at a single angle can be comprehensively amplified and accurately depicted, and then reliability of aluminum alloy casting quality evaluation is guaranteed.

The invention relates to a method and system for color grading faceted colored gemstones using digitization techniques. The synergistic effect of computer vision, digital imaging and spectral analysis, mechanical arm operation and artificial intelligence technologies is adopted. The invention is applied in the gemstone mining, making, trade industry, in particular for evaluating the quality and value of faceted gemstones, thereby facilitating fair transactions and enhancing consumer confidence.