50 results about "Image pattern" patented technology

The invention relates to the technical field of medical informatics, and provides an interstitial lung disease HRCT image analysis method and system based on artificial intelligence. The method comprises the following steps: performing pulmonary parenchyma segmentation processing on an input HRCT image to obtain a pulmonary parenchyma region; performing multi-category lesion segmentation on the pulmonary parenchyma region to obtain a segmentation mask; performing quantitative calculation on lesion distribution characteristics according to the segmentation mask to obtain lesion distribution parameters; and carrying out image mode classification according to the segmentation mask and the lesion distribution parameters to obtain a classification result. According to the method, the efficiency and precision of HRCT image analysis are improved, and the application range of HRCT image analysis is expanded.

A method for driving a display device is performed by the display device. The method includes: displaying a first image including user convenience information through a display panel; generating sensing data corresponding to a fingerprint sensing area by using a photoelectric sensor; and determining whether a sensed fingerprint corresponding to the sensing data is a fake fingerprint by comparing expected sensing light illuminance information based on the first image with sensed light illuminance information of the sensing data. The first image includes a first color pattern in the fingerprint sensing area of the display panel. A fake-determination image pattern includes the first color pattern and a second color pattern different from the first color pattern.

A method is provided that determines authenticity of a second recording medium mounted in a second device by using a first device mounted with a first recording medium. A non-user area of the first recording medium previously records first identification information and first algorithm data. A controller of the first recording medium causes a first display device to display a first image pattern and, after display of the first image pattern, causes a first imaging device to capture a second image pattern displayed on a second display device of the second device. The controller decodes first code data from the second image pattern and utilizes the first algorithm data to perform arithmetic that uses the first identification information and a first variable value. The controller determines the second recording medium to be authentic if the decoded first code data matches an arithmetic result.

A method for determining at least one height of a surface of an object comprises projecting a patterned radiation beam onto an object so as to form an image of a pattern. The image of the pattern comprises first and second portions, each of the first and second portions comprising at least one line, wherein at least one line of the first portion is disposed at a non-zero angle to at least one line of the second portion. The method further comprises receiving a portion of the patterned radiation beam reflected from the substrate. The method further comprises determining at least one height from a combination of: (a) a part of the received portion of the patterned radiation beam reflected from the first portion of the pattern; and (b) a part of the received portion of the patterned radiation beam reflected from the second portion of the pattern.

A device for uniformly feeding and paving granular crops comprises: a uniform feeding silo for controlling the speed and flux of granular crops during feeding and conveying, and for automatically paving, dispersing, and evenly distributing the crop particles; a linear vibration module disposed at the bottom of the uniform feeding silo; a uniform speed perturbation module disposed within the uniform feeding silo; a visual monitoring module disposed at the outlet of the uniform feeding silo; a material conveying module; an image acquisition module; and a computer system. The present invention uniformly spreads and disperses large quantities of granular crops within the imaging field of view of a machine vision module, and adjusts the feeding speed and flux in real time according to changes in the density of the crop particles, so that the sample particles form an easily detectable image pattern and maintain the spatiotemporal uniformity of the feeding, thereby utilizing the detection and recognition algorithm combined with the device to perform efficient and intelligent appearance quality and quarantine testing on large quantities of granular crops. This is a key technical issue that urgently needs to be addressed in the field of food security.

This invention relates to the field of physics experiments, and more particularly to a convex lens imaging experimental method and system based on machine vision and data collaboration. The system includes a guide rail, a convex lens, a sliding frame, a light source, a support frame, a stepper motor, a lead screw, a screen, an extension arm, a camera, a controller, and a processor. This invention automatically identifies the optimal imaging position by combining a camera and a processor, eliminating the subjectivity of human judgment, improving the objectivity and reliability of experimental conclusions, and uploading experimental data to the cloud in real time. This enables the aggregation, sharing, and visualization analysis of multiple sets of data, ensuring the objectivity and accuracy of a single measurement while supporting the summarization of imaging patterns from multiple sets of data, thus enhancing the scientific rigor and depth of the experiment.

This invention relates to an image forming apparatus that, in film formation processes, reduces toner consumption in the toner image pattern of an image while suppressing detection errors in the adhesion detection mechanism. The image forming apparatus forms a toner image pattern, such as a scraping toner pattern (Kp), which is input to a cleaning component, such as a cleaning squeegee, used to clean the surface of an image carrier (e.g., an intermediate transfer belt), without transferring it to a recording medium. This toner image pattern is a long strip-shaped pattern in an orthogonal direction to the surface movement direction of the image carrier. Furthermore, the toner image pattern is formed by a method in which the input toner dose to a location corresponding to the placement position of the adhesion detection mechanism (e.g., an optical sensor (40F, 40C, 40R) of the cleaning component) is greater than the input toner dose to a location not corresponding to the placement position of the cleaning component.

A method is provided for fabricating an optical lens using vat photopolymerization (VPP). The method includes generating a digital lens model and printing the lens in discrete layers along a print direction. During printing, defocused image patterns are projected to mitigate lateral surface pixelation across the layers. Following printing, a photocurable resin is applied to the outer surface of the lens. The lens is then spin coated, distributing the resin uniformly and smoothing layered steps along the print direction. Finally, the coated resin is cured, producing a lens with improved surface quality.

Disclosed herein is a computing system. The computing system includes a memory and a processor. The memory stores processor-executable instructions for a workflow recommendation assistant engine. The processor is coupled to the memory. The processor executes the workflow recommendation assistant engine to cause the computing device to analyze images of a user interface corresponding to a user activity, perform pattern matching of the images with respect to existing automation, and provide a prompt indicating that an existing automation matches the user activity.

Arrangements for detecting polymorphic botnets using a pattern matching engine are provided. The platform may train a pattern matching engine to generate image pattern statuses based on a training set of historical image patterns. The platform may automatically generate real-time interaction information based on monitoring interactions between user devices and cloud platforms. The platform may generate a potentially malicious image pattern based on the real-time interaction information. The platform may then input the image pattern into the pattern matching engine to generate an image pattern status for the image pattern. The platform may store the image pattern to a pattern storage repository. Based on identifying the image pattern as malicious, the platform may initiate a security action. The platform may update the pattern matching engine based on the image pattern and its image pattern status to detect future polymorphic botnet attacks.

A mechanical physical pixel screen image display system (100) and method (200) based on servo cluster control, which are applied to the field of mechanical physical pixel screen image display or the field of kinetic skins. The system (100) comprises: an image data acquisition module (101), which acquires source data of a video or an image; an image pixel collection module (102), which collects, according to the resolution of a mechanical physical pixel screen, a pixel value of a corresponding coordinate position in a video frame or in the image, so as to obtain pixel data; a pixel motion mapping unit (103), which is used for mapping pixel grayscale data into servo motion data of each physical pixel unit; and a cluster signal transmission module (104), which is used for distributing the servo motion data to a control module (105) of a corresponding physical pixel unit by means of a cluster network, and performing synchronous servo control on each physical pixel unit to move precisely by a certain value, such that the mechanical physical pixel screen presents an image pattern corresponding to the frame or image of the source data. Thus, the dynamic display process of a mechanical physical pixel screen, from the input of source data of a video or an image to physical pixel frames, is realized.

The illumination compensation method disclosed herein includes the steps of: obtaining a working distance between an imaging film layer (2) and a mask (1) in an exposure imaging system; calculating the imaging light intensity of a photoresist layer (22) on the imaging film layer (2) corresponding to different working distances; establishing a relationship between the change in line width of an imaged pattern on the photoresist layer (22) on the imaging film layer (2) and the change in working distance based on the imaging light intensity; calculating compensation parameters for the illumination light according to the relationship between the change in line width of the imaged pattern and the change in working distance; and performing illumination compensation on the exposure imaging system according to the compensation parameters. This method can calculate the compensation parameters for the illumination light corresponding to different working distances. Then, pixelated adjustment of parameters such as the light intensity, polarization, and phase of the incident light at different positions according to the compensation parameters can be performed to match the imaging light fields on the photoresist layer (22) at different working distances, thereby improving the line width uniformity of large-area imaging patterns and meeting the requirement for exposure line width uniformity.

A defect inspection method includes: recognizing image peaks that are reference positions of image patterns included an inspection image; performing filtering on a reference image including reference patterns, recognizing reference peaks, and then selecting some of the reference peaks as peak samples; calculating candidate correction constants by overlapping the filtered inspection image and the filtered reference image, and then selecting a primary correction constant among the candidate correction constants; applying the first correction constant to the reference image and selecting a secondary correction constant by matching the image peaks to the reference peaks included in a primary corrected reference image, and then applying the secondary correction constant to the primary corrected reference image and forming a secondary corrected reference image aligned with the inspection image; and performing a defect inspection on the inspection image by matching the image patterns to reference patterns included in the secondary corrected reference image.

A visual security feature is provided that is disposed on a target. The visual security feature includes two substantially transparent layers. At least one of the two substantially transparent layers is present in an image-wise pattern.

An artificial intelligence (AI) camera includes a lens, an AI optical system that generates a processed light by performing a neural network operation based on first input light incident through the lens, and an image sensor that generates image data based on the processed light and identifies an image pattern based on the image data.

The present disclosure concerns a testing device (500) comprising: a light-field projector display (100) sequentially emitting a plurality of light fields (101); a spatial light modulator (SLM) (3) controllable to modulate the light fields (101); projection optics (4) configured to project the modulated light fields (101) and form at least a virtual image (40) in a projection image plane (400); and wherein the SLM image pattern (61) is configured to add at least one refractive correction to said at least one virtual image (40). A human interface device (HID) (503) is configured to let a user select at least one of the virtual images (40) for which the user perceives as having the best image subjective quality input the refractive correction corresponding to the selected at least one of the virtual images (40) in a data storage unit (509). The present disclosure further concerns a computer-readable medium configured to perform a method for to assess the vision acuity of a user by using the testing device.

A real-time reference free background oriented schlieren system is provided. One embodiment includes a display device capable of generating an image pattern projected onto a retroreflective background. A beam splitter is used to transmit a portion of the projected image pattern towards a reference image sensor and another portion of the image pattern towards the retroreflective background and past a density object. The retroreflective background reflects the projected pattern back through the beam splitter and onto a signal imaging sensor. Collected data from the reference image sensor and the signal image sensor may be processed in real-time. The image pattern may be altered as necessary without requiring a new reference image, reducing the amount of time required to set up and adjust the system. A display device may be capable of switching between a schlieren visualization capability to a shadowgraph system allowing for the use of two different imaging techniques.

An electronic display automatic monitoring and production abnormality real-time reaction system and method thereof, a monitoring device analyzes image patterns of a monitoring image to analyze at least one analysis region and extracts a corresponding image to be analyzed, at least one image analysis method is set according to the image pattern of the image to be analyzed to convert the image to be analyzed into corresponding image features, when the image features are compared with the preset features and are abnormal, the monitoring device generates, records and sends warning messages and / or issues alarms, thereby achieving the technical effect of providing automatic monitoring of electronic displays and real-time reaction to production abnormalities.

The invention relates to a security element having a combined security feature (16) for protecting security paper, value documents and other data carriers, which combined security feature contains a colored image pattern, the combined security feature (16) displaying a first image pattern having a 2D or 3D appearance under normal illumination of visible light (20), and-displaying a second image pattern having a 3D appearance under mixed illumination of visible light (20) and ultraviolet light (22),-wherein the combined security feature (16) has at least one body color layer (32, 34) having visually visible body colors for generating the first image pattern, and-displaying a second image pattern having a 3D appearance under mixed illumination of visible light (20) and ultraviolet light (22), and the combined security feature has at least one luminescent pigment layer (36) arranged above and / or below the body color layer (32, 34), which luminescent pigment layer together with the body color layer (32, 34) under the excitation of UV light produces a second image pattern.

Provided are a display system and an information processing apparatus, the display system being capable of obtaining a projected image with a small roll angle. The display system includes a projection apparatus that projects an image and an information processing apparatus that has an imaging section and an inertial sensor, wherein the projection apparatus projects a first image including a first image pattern toward a projection surface, the information processing apparatus, after acquiring first captured image data obtained by the imaging section capturing the first image, causes the projection apparatus to project a second image, receives a user's angle adjustment operation, and causes the projection apparatus to project a third image, wherein the second image is obtained by performing geometric correction on the first image based on data of the first image, the first captured image data, and a detection value of the inertial sensor, and the third image is obtained by rotating the second image about a normal vector of the projection surface based on the angle adjustment operation.

An exposure apparatus that scans and exposes a substrate via an optical modulator in which a plurality of elements are controlled according to an image pattern, the exposure apparatus includes a first stage that supports a first substrate, a second stage that supports a second substrate different from the first substrate, a measurement part that measures information about the second substrate, and a generation part that generates control data, which controls the plurality of elements during scanning and exposing the second substrate, based on the information during an exposure process of the first substrate, wherein the measurement part measures the information about the second substrate during the exposure process of the first substrate.

A non-invasive technique to measure exfiltration and infiltration (leakage) in buildings including a system and method employing RFN-BOS photography. Leakage through a building envelope can be visualized using RFN-BOS photography when the background has sufficient texture and the temperature difference between the leakage and ambient air is sufficient. Leakage can be detected when there is a temperature difference of as low as 12° C.-15° C. through CMU and brick claddings. A minimum ΔT detection limit can be reduced to 5° C. so that the RFN-BOS technique can be used through all climate zones, and use of a sufficiently textured cladding in which the contrast textural feature is at 1,650 or greater. If the cladding has insufficient texture, the system uses a projection system to first project a high contrasting image pattern on the cladding surface. Prioritized sealing of leaks is provided based on an order of their corresponding leak-ranking parameters.

A display device and a method for driving a display panel are disclosed according to embodiments of the present disclosure. The display device may include: a display panel in which two sub-pixels share a data line and are configured to be controlled by two different gate signals; a gate driving circuit for supplying gate signals to the display panel; a data driving circuit for supplying data voltage to the display panel; a memory configured to store image data to be displayed on the display panel; and a timing controller configured to determine a sequence type based on an image pattern of a specified area detected from the image data, and to control the gate driving circuit and the data driving circuit to drive the specified area according to the selected final sequence.

This invention relates to the field of biometric recognition software and image pattern analysis technology, and discloses an automatic extraction method for preoperative image features of uterine fibroids using focused ultrasound ablation for re-pregnancy assessment. The method includes: acquiring image voxel data of the target entity and calculating its geometric center; traversing candidate anchor points in a three-dimensional neighborhood space and identifying gradient maxima to determine the optimal sampling origin; emitting a spatial sampling vector from the optimal sampling origin to establish a radial sampling field; calculating the gradient and energy characteristics at interface attribute transitions; and fusing them after noise component stripping to generate a descriptor vector. This invention utilizes dynamic optimization of the sampling origin to achieve orthogonal alignment between the sampling path and the tissue interface, suppressing non-pathological diffusion of signal steps at the mechanistic level, and improving the accuracy and uniqueness of biometric descriptors in representing the physical integrity of tissues.

This invention discloses a camera quality inspection method and system based on data analysis, belonging to the field of camera quality inspection technology. The invention includes a position determination module for determining the position of the camera and the image to be captured; an imaging feedback module for acquiring pattern imaging feedback from the camera and stitching it into a nine-grid image within the system platform; a pattern recognition module for recognizing the nine-grid image based on a nine-grid image algorithm and matching the pattern recognition result with pre-stored offline pattern information; and a quality inspection module for mapping abnormal pattern imaging to a corresponding camera index directory, determining the camera number, and reporting the quality problem of the corresponding camera. This invention captures a set of patterns using each set of cameras, identifies the structural information of each pattern image through an algorithm, obtains problematic pattern images, and identifies detailed quality problems in the cameras.

The present disclosure concerns a testing device (500) comprising: a light-field projector display (100) sequentially emitting a plurality of light fields (101); a spatial light modulator (SLM) (3) controllable to modulate the light fields (101); projection optics (4) configured to project the modulated light fields (101) and form at least a virtual image (40) in a projection image plane (400); and wherein the SLM image pattern (61) is configured to add at least one refractive correction to said at least one virtual image (40). A human interface device (HID) (503) is configured to let a user select at least one of the virtual images (40) for which the user perceives as having the best image subjective quality input the refractive correction corresponding to the selected at least one of the virtual images (40) in a data storage unit (509). The present disclosure further concerns a computer-readable medium configured to perform a method for to assess the vision acuity of a user by using the testing device.

To prevent cleaning failures even with low toner consumption, suppress uneven friction in new intermediate transfer media, and prevent the cleaning blade from curling. [Solution] The output image pattern has toner image groups Tn1 and Tn2 in which toner image parts Ta and non-toner image parts Tb are arranged alternately in the width direction, with the toner image parts Ta of toner image group Tn1 and the non-toner image parts Tb of toner image group Tn2 being adjacent to each other, and the non-toner image parts Tb of toner image group Tn1 and the toner image parts Ta of toner image group Tn2 being adjacent to each other.

The application discloses a floating display device and a floating display touch device. The floating display device comprises a display light source, an optical imaging sheet and a microlens array sheet. The microlens array sheet has a plurality of microlenses arranged in an array. The optical imaging sheet has a plurality of sub-image unit pairs corresponding to the microlenses arranged in an array. The sub-image unit comprises a plurality of first sub-image units and a plurality of second sub-image units. Each first sub-image unit has a first main image pattern, and each second sub-image unit has a second main image pattern. The first main image pattern and the second main image pattern have the same pattern. The second sub-image units are arranged to form an auxiliary image pattern. At least part of the second sub-image units respectively has a bottom image pattern, and the bottom image pattern is located at the periphery of the second main image pattern.

Calibration target(s) are mounted on a vehicle including a plurality of cameras. The calibration targets are in the field of view of the cameras. The calibration targets are sometimes LED or IR illumined targets. The targets in some embodiments are shielded to block light from oncoming cars and / or to block driver view of the target to reduce the risk of driver distraction. The cameras capture images at the same time. Calibration operations are then performed using the target or targets included in the captured images as a known visual reference of a known shape, size and / or having a known image pattern. Calibration parameters including parameters providing information about the location and / or spatial positions of the cameras with respect to each other and / or the target are generated from the captured images. Distance to objects in the environment which are included in the captured images are then determined.