79 results about "Image pattern" patented technology

The invention provides a leaf image mode classification method and system for double cropping rice spike fertilization, and the method comprises the steps: collecting a first leaf image parameter array and a second leaf image parameter array at a preset time window of target double cropping rice and at a plurality of positions of a first leaf and a second leaf; carrying out image parameter discrete analysis on the parameter arrays to obtain a first dispersion and a second dispersion, and calculating to obtain a leaf pollution degree by combining a preset dispersion; and carrying out averaging processing and leaf pattern classification on the parameter array, and respectively obtaining two leaf pattern arrays based on the image parameters and the pollution degree, thereby determining a suitable leaf pattern and carrying out double cropping rice fertilization. The technical problem of insufficient fertilization recommendation accuracy on different fields due to insufficient test data volume in the prior art is solved, and the technical effects of realizing accurate regulation and control of the panicle fertilizer and improving the fertilization recommendation accuracy by analyzing pattern classification of double cropping rice leaf image parameters and pollution degrees are achieved.

The invention provides a self-adaptive reverse multiple exposure phase fusion technology, and relates to the field of high-dynamic-range three-dimensional reconstruction. The method includes the following steps that firstly, a saturated pixel mask matrix is obtained by judging pixels of a high-reflection area, then uniform grey-scale maps are selected step by step through a gradient adjustment method to obtain the optimal local projection intensity, and local coding and decoding are conducted on the high-reflection area through the optimal projection intensity pattern. And replacing an invalid phase value in the high-SNR image with a local phase value under the optimal projection intensity through an edge matching and phase fusion technology, and obtaining high-quality complete three-dimensional imaging information through coordinate mapping after a complete phase diagram is obtained. According to the method, the optimal projection intensity is adaptively determined through a small number of patterns, meanwhile, the high SNR of imaging patterns is guaranteed, and high-precision complete three-dimensional imaging is carried out on an HDR object. Experimental results show that in a traditional method, a large number of point clouds are lost in a saturated pixel area, the imaging integrity and the measurement precision cannot achieve the normal imaging effect, and the algorithm of the invention shows high integrity and high point cloud density in a dark area and a high-reflection area.

According to an embodiment, an image forming apparatus executes, if an execution frequency setting of positional deviation correction in setting information is equal to or larger than a reference value, the positional deviation correction by using an image pattern for positional deviation measurement that is formed to be equal to or larger than one cycle of a transfer belt. Further, the image forming apparatus executes, if the execution frequency setting of the positional deviation correction in the setting information is less than the reference value, the positional deviation correction by using an image pattern for positional deviation measurement that is formed to be smaller than one cycle of the transfer belt.

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.

The invention discloses a camera quality detection method and system based on data analysis, and relates to the technical field of camera quality detection, and the system comprises a position determination module which is used for determining the positions of a camera and a to-be-shot image; the imaging feedback module is used for acquiring a pattern image of the camera and feeding the pattern image back to the system platform to splice a Sudoku image; the pattern recognition module is used for recognizing the sudoku image based on a sudoku image algorithm and matching a pattern recognition result with pattern information stored offline in advance; and the quality detection module is used for mapping the condition of abnormal pattern imaging to a corresponding camera index directory, determining the number of the camera for shooting, and feeding back the quality problem of the corresponding camera. According to the method, the group of patterns are shot through each group of cameras, the structure information of each pattern picture is recognized through an algorithm, the pattern image with problems is obtained, and the subdivision quality problem occurring in the cameras is recognized.

The invention discloses a monitoring information full-process management and control method and system based on artificial intelligence, and belongs to the technical field of computers, and the system comprises a process management and control middle table, a self-adaptive acquisition module, a transmission flow prediction module, a data transmission module, a data analysis module and a visual presentation module. Determining image acquisition parameters, acquiring image information of a target area, outputting a future transmission flow prediction result, determining a transmission bandwidth size, transmitting the image information according to the transmission bandwidth size, and obtaining an image feature, an image mode and an image analysis result output by the multi-dimensional analysis model; and generating an information presentation interface from the image features, the image modes and the image analysis results according to the user portrait and the current use scene, and displaying the information presentation interface. According to the invention, the quality of image information and the real-time performance and reliability of transmission are improved, and the analysis capability of monitoring information and the decision-making efficiency of the whole management and control process are improved.

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.

An image recognition system includes: an acquisition unit that acquires a captured image from a camera mounted on a vehicle; a person recognition unit that recognizes a human in the captured image; and a determination unit that takes the human in the captured image as a subject person, and determines, from the captured image, whether or not the subject person is carrying baggage. The determination unit extracts a partial image from the captured image, the partial image having a predetermined shape and size and including a hand of the subject person in the captured image, and, when an image pattern different from a background image is recognized at a tip of the hand in the partial image, determines that the subject person is carrying baggage.

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 reticle includes a mask substrate, a reflective layer on the mask substrate, and a mask pattern on the reflective layer, the mask pattern having image patterns to absorb light, and first patterns between the image patterns, the first patterns being openings, the first patterns having a honeycomb arrangement, in a plan view, such that seven of the first patterns are arranged at corresponding vertices and a center of a first regular hexagon, and each of the first patterns having a shape of a second regular hexagon that is rotated by 90 degrees relative to the first regular hexagon.

An electronic device and a control method thereof are provided. The electronic device includes: a memory configured to store a plurality of filters each corresponding to a plurality of image patterns; and a processor configured to classify an image block into one of the plurality of image patterns based on a relationship between pixels within the image block including a target pixel and a plurality of surrounding pixels, and obtain a final image block by applying at least one filter corresponding to the classified image pattern among the plurality of filters to the image block, wherein the target pixel undergoes image processing in the final image block, and the plurality of filters are obtained by: based on each of the plurality of image patterns, learning a relationship between a plurality of first sample image blocks and a plurality of second sample image blocks corresponding to the plurality of first sample image blocks through an artificial intelligence algorithm.

The full-automatic vertical filling and sealing device comprises automatic filling and sealing equipment and a material supply barrel, a pump preset in the material supply barrel pumps materials to the automatic filling and sealing equipment through a pipeline, and the automatic filling and sealing equipment comprises a horizontal cross rod; the two ends of the horizontal cross rod are fixedly connected with lifting supporting legs in a mirror image mode, one end of the horizontal cross rod is fixedly connected with a filling and sealing mechanism, the filling and sealing mechanism comprises a telescopic plate, the lower end of the telescopic plate is fixedly connected with a second electric cylinder, and the output end of the second electric cylinder is fixedly connected with a third connecting piece; and the middle of the lower end of the telescopic plate is fixedly connected with a fourth connecting piece, the lower end of the fourth connecting piece is fixedly connected with a filling and sealing pipe and a positioning module, and the positioning module is provided with a visual sensor and a laser distance measuring sensor. The invention develops an automatic filling and sealing device for a large stator.

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 utility model relates to a multi-module projection lamp and a vehicle. The multi-module projection lamp comprises a shell, a substrate, a light source, at least two condensing lens modules, a single film, an assembling support and at least two imaging lens modules. The film is provided with at least two light-transmitting imaging patterns; the light sources, the condensing lens modules, the imaging patterns and the imaging lens modules are the same in number and correspond in position. Light generated by the light source sequentially passes through the condensing lens module, the film and the imaging lens module and is projected to a target projection area to form a projection pattern. The multi-module projection lamp is only provided with the single film, the single film is provided with a plurality of light-transmitting imaging patterns, and the whole imaging pattern formed by the plurality of independent sub-imaging patterns is not affected by error factors such as processing and assembling of parts of the projection lamp. Therefore, the final complete projection pattern does not have the problems of pattern superposition or dislocation and the like.

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.