66 results about "Progressive scan" patented technology

The present disclosure relates to a line-scanning based super-resolution imaging method and apparatus. A line-scanning based super-resolution imaging method includes: providing a plurality of line-type structured excitation lights, each of the plurality of line-type structured excitation lights having a different illumination pattern; illuminating a target area in a line-by-line scanning manner along a single first direction while switching the plurality of line-type structured excitation lights, such that each row in the target area is illuminated by a corresponding one of the plurality of line-type structured excitation lights; and detecting response light generated by each row in the target area in response to being illuminated by the corresponding one of the plurality of line-type structured excitation lights.

A visual image processing method based on brain-like processing belongs to the technical field of image recognition, and comprises the following steps: step 1, dividing an image into multiple rows and columns by taking pixels as units, scanning row by row, and obtaining digital visual waves of the rows by taking a pixel value of each point as a vertical coordinate and the number of the columns as a horizontal coordinate; step 2, screening out a to-be-screened wave band of each row; step 3, taking the central point of each to-be-screened wave band, and screening the front end point and the rear end point; and step 32, carrying out graph fitting identification on the central point and the end point of the to-be-screened wave band reserved in each row and each column to obtain an image. According to the method, the image pixel value change points are directly subjected to extraction reasoning and fitting clustering in a line-by-line scanning and operation mode to obtain and recognize the image, the image recognition speed and precision are improved, the hardware requirement is reduced, and the method is suitable for performing real-time automatic search recognition and tracking application on moving and small dim targets in various complex environments.

The invention relates to the technical field of image analysis and mode recognition, in particular to a state monitoring and fault diagnosis method and system based on artificial intelligence. The invention discloses a state monitoring and fault diagnosis method based on artificial intelligence. The method comprises the following steps: S1, acquiring oil sample type data, performing background purification processing, and then executing a high-precision panoramic imaging process; the X-direction shooting number and the Y-direction shooting number are obtained based on the two-axis motion platform; s2, generating a grid coordinate sequence covering the deposition area according to the X-direction shooting number and the Y-direction shooting number, and forming a line-by-line scanning path; and synthesizing a full-focal-plane image based on the scanning path, and outputting a fused panoramic depth panorama according to the synthesized full-focal-plane image. According to the invention, through background purification, panoramic imaging, improved Mask-R-CNN mode recognition model segmentation and multivariate index fusion, precise recognition of wear particles and intelligent early warning and grading of wear states are realized.

The invention discloses an image enhancement processing method and system for an unmanned aerial vehicle monitoring video stream, and relates to the technical field of data processing, and the method comprises the steps: responding to a triggering instruction that an unmanned aerial vehicle enters a hovering verification state, extracting a current exposure line index, and resolving a target light beam projection angle corresponding to the current exposure line index, generating a scanning driving signal based on the linkage mapping relation of the two, performing line-by-line scanning exposure, and limiting the space coverage range of the physical projection light beam in a physical space slice corresponding to a pixel line which is currently in an exposure opening state, so that environmental near-field suspended particles outside the physical space slice are kept in a non-illumination state; and collecting the optical signal reflected by the physical space slice, and generating an enhanced video frame for suppressing near-field scattering interference. According to the application, the airborne linear light source and the exposure line are synchronously scanned, and the light beam coverage range is strictly limited in the physical space slice corresponding to the current exposure line, so that the near-field dust does not generate scattered light because the near-field dust is not illuminated.

The invention discloses a fan height measuring method and device based on a high-resolution satellite image shadow. The method comprises the following steps: extracting a fan shadow by using a shadow extraction model based on a high-resolution satellite image containing a fan; the method comprises the following steps of: segmenting and removing a shadow mask of a fan blade by combining solar azimuth information with a straight line-by-line scanning method, and retaining a shadow mask of a fan tower; and calculating the shadow length of the fan tower according to the shadow mask of the fan tower, and calculating the fan height according to the shadow length of the fan tower. According to the invention, the fan height information can be rapidly obtained in a large range, the fan height can be accurately measured and calculated, and manpower and cost can be saved.

A camera device placed behind a display screen with singular resolution and uniform level of transparency, capturing the user on the front side of the display capturing in the camera's FOV at least some of the user's touch gestures when in contact of the display screen. In a preferred embodiment, the display is semi-transparent with at least 25% or more transparency, and the camera is placed at the center of the back surface of the display screen to allow natural looking images of the person's gaze or glance. The camera is integrated with a built-in processor that process application software for viewing captured images from the camera, applies a spatial filter to eliminate certain distortion, embed the camera view image of the person in an mirror image with the digital content being displayed to form a combined new imaging with both person and digital display, and exchanging both video images and on display content with a remote party via a communication server to enable a shared transparent digital “glass board” where both parties can see where the other party is gazing or gesturing or writing over the shared digital content on the “glass board”. Wherein the processor controls the video output and the camera's shutter to synchronize the display's progress scan refresh lines with the camera's rolling shutter scan lines in time and imaging location.

The invention discloses a multi-modal partition detection and dynamic recursion fitting-based through groove contour dimension extraction method, which comprises the following steps of: preprocessing an original through groove image, and positioning a pre-center point; extracting reference edge midpoints of four sides of the through groove along the peripheral direction by taking the pre-central point as an original point; taking the midpoint of the reference edge of each edge as a center, extracting independent ROI images in a partitioned manner, and adaptively and dynamically enhancing the edge contrast of the ROI images in each direction; scanning the ROI image in each direction line by line, and extracting an initial edge point set in the corresponding direction of the through groove; nonlinear element edge points in abnormal intervals in the initial edge point sets of the ROI images in all directions are removed; after the ROI images in all directions are screened, edge straight lines are fitted through edge point sets, and the head point, the tail point and the middle point are solved; all edge straight lines in the ROI images in all directions are mapped to the original images of the through grooves, the mean value of the intervals in the X / Y directions is solved, and physical values of the sizes such as the length, the width, the symmetry degree and the inclination angle deviation of the through grooves are calculated. According to the invention, the scene adaptability, precision, robustness and expansibility of visual detection of the through groove in a complex noise scene are obviously improved.

To provide an encoder and a decoder, including confidence level information of the encoder in supplement enhancement information.SOLUTION: A decoder decodes received bit streams to acquire a supplemental enhancement information (SEI) message. The SEI message includes picture source data, and expresses a confidence level of relative confidence of an encoder in the accuracy of this picture source data. The decoder uses confidence level indication to determine whether the decoder should separately identify a picture as progressive or interlaced picture and / or whether the decoder should identify a duplicate picture, or the decoder receives picture source scanning information in the SEI message as valid as it is.SELECTED DRAWING: Figure 6

A super-resolution imaging method (100) and apparatus based on line scan. The super-resolution imaging method (100) based on line scan includes: providing multiple types of structured line excitation light, each of the multiple types of structured line excitation light having a different illumination mode (step S102); illuminating a target area in a manner of row-by-row scanning along a single first direction while switching the multiple types of structured line excitation light, such that each row in the target area is illuminated by a corresponding type of structured line excitation light among the multiple types of structured line excitation light (step S104); and detecting response light generated by the each row in the target area in response to being illuminated by the corresponding type of structured line excitation light (step S106).

To provide a stereoscopic image display device capable of controlling average luminance of pixels in a display period without depending on a position in a line sequential direction.SOLUTION: A stereoscopic image display device 10 includes a liquid crystal display panel 22, a variable focus lens unit 40, and a control unit 80. The liquid crystal display panel 22 displays the first image and the second image that are sequentially displayed by the line sequential scanning, and emits the display light PL1 of the first image and the display light PL1 of the second image. The variable focus lens unit 40 switches the focal distance with respect to the display light PL1, and forms the first image and the second image as virtual images on the first display surface 102 and the second display surface 104, respectively. The control unit 80 forms a display period for displaying each of the first image and the second image from a plurality of frame periods, and controls the luminance of the pixels of the liquid crystal display panel to the minimum luminance of the pixels in the last frame period of the plurality of frame periods forming the display period.SELECTED DRAWING: Figure 1

The application provides a disc area structure level determination method and device and electronic equipment. A first area containing a disc area is scanned line by line to obtain OCT volume data. A center point of the first area is taken as a center to star-type sample the OCT volume data to obtain a first number of first BScan two-dimensional section image data. An initial center point of the disc area is determined, and the OCT volume data is star-type sampled with the initial center point as the center to obtain a second number of second BScan two-dimensional section image data. The structure level of the disc area is determined. The OCT volume data is obtained in a line-by-line scanning manner, which ensures a high sampling rate. The sampled data is uniform and continuous. Star-type sampling is performed on the continuous data, which can avoid jumping and errors. In addition, the initial center point of the disc area is determined through star-type sampling, and then star-type sampling is performed with the initial center point as the center, which can obtain a more accurate disc area structure level.

The invention relates to a method and a measuring arrangement for topography measurement on a surface. In this process, the surface is scanned line by line in a scanning operation carried out in a measuring arrangement to generate an image composed of a plurality of scan lines, wherein, during this generation of the image, a phase shift between adjacent scan lines is set depending on at least one determined disturbance frequency of a disturbance occurring in the measuring arrangement during the scanning operation.

According to the combustion limiting layer quality detection method, system and device based on rotary motion, a weighing sensor, a 2D industrial camera and a 3D line scanning sensor are organically combined, three-dimensional scanning of a combustion limiting layer can be completed, grain weight detection, appearance collection and character recognition can be achieved, and in the process that a rotary platform drives a grain to rotate, the grain can be accurately detected, and the quality of the grain can be accurately detected. The 3D linear scanning sensor is kept still all the time, and three-dimensional data information of the surface of the grain is obtained by scanning the surface of the grain line by line; and receiving original multi-source data from data acquisition, and executing specific preprocessing aiming at the surface detection of the combustion limiting layer of the grain. 3D point cloud geometric information, 2D image texture features, OCR character recognition results and weighing data are comprehensively utilized, a comprehensive evaluation model of the quality of the combustion limiting layer is constructed, and defect detection, classification and severity quantification are achieved. According to the method, mechanical automation and an advanced visual detection algorithm are comprehensively utilized, and efficient and accurate detection of the quality of the combustion limiting layer is achieved.

In general, the subject matter described in this disclosure can be embodied in technology for operating a display device that includes a pixel array. A first frame is programmed to the array, while the display device is operating at a first refresh rate, including by scanning the first frame line-by-line to the pixel array at a first scan rate. An indication that the display device is to transition from the first refresh rate to a second refresh rate is received. An intermediate frame is then programmed to the pixel array, including by scanning the intermediate frame line-by-line to the pixel array at an intermediate scan rate. A second frame is then programmed to the pixel array, while the display device is operating at the second refresh rate, including by scanning the second frame line-by-line to the pixel array at the second scan rate.

The invention discloses an image text extraction method, device and equipment, a medium and a program product, and relates to the technical field of image recognition. The method comprises the steps of dividing pixel points in a to-be-recognized image into background pixel points and character pixel points based on a pixel classification threshold; pixel points in the to-be-recognized image are scanned line by line, and the to-be-recognized image is segmented into multiple lines of texts according to the number of background pixel points in each line of pixel points; performing column-by-column scanning on each row of texts, and performing text block segmentation on each row of texts according to the number of background pixel points in each column of pixel points; for the to-be-recognized text block, obtaining distribution data of character pixel points in a plurality of preset directions, and constructing a feature vector of the to-be-recognized text block according to the distribution data; and comparing the feature vector of the to-be-identified text block with a standard feature vector of a standard text in a text library, and determining a text corresponding to the to-be-identified text block. According to the technical scheme, the calculation cost of text extraction is reduced.

The application discloses a kind of self-adapting focusing microscope equipment, adopt the data processor of ZYNQ heterogeneous multi-core architecture, and realize automatic focusing by step S1 to step S5, based on the parallel processing architecture of PL unit, namely FPGA, image convolution operation of multiple images can be executed in parallel in step S3, will not affect the line-by-line scanning process of microimage in step S1 is executed synchronously, so that while completing microimage scanning in step S1, step S3 has completed the most part of calculation of image definition evaluation function, when microimage scanning is completed, image definition evaluation function can calculate the definition evaluation value of microimage in very short time;Therefore, the application uses camera+ZYNQ heterogeneous multi-core architecture to replace the serial execution architecture of industrial camera+host computer in the prior art, only needs the scanning time of microimage+very short time to obtain definition evaluation value, greatly shorten the time of obtaining definition evaluation value, improve focusing speed.

This invention provides a driving method and a display device for a display panel. The driving method includes: acquiring image data of the current frame of the display panel; determining a driving mode of the display panel based on the current frame image data, wherein the driving mode includes an interlaced scanning mode and a progressive scanning mode; and generating overdrive data for a plurality of sub-pixels based on the driving mode of the display panel.

The application discloses a kind of based on gray extremum analysis consolidated abrasive tool surface quality detection method, method includes image acquisition and pre-processing, candidate area positioning and feature point extraction, target area boundary adaptive extraction, region screening and gray difference calculation, particle gray and spatial distribution feature quantization five main steps.Through line scanning camera, surface brightness chart and depth chart are collected, after gray enhancement and filtering pretreatment, local extreme point is extracted as candidate area by line scanning, and target boundary is adaptively generated in combination with cross neighborhood gray contrast and gradient chart dynamic threshold criterion;Effective area is screened by morphological operation and area constraint again, and gray difference is calculated to represent particle height;Finally, multidimensional quantitative evaluation is realized through gray difference histogram, protruding height statistics, nearest neighbor distance analysis and grid uniformity measurement.The application has high sensitivity, high robustness and strong adaptability, and can be embedded in industrial production line to realize automatic, non-contact and high-precision surface quality detection.

The invention relates to an FPGA-based multi-spot centroid extraction method and an applicable system thereof, and relates to the technical field of in-orbit laser communication links. The method comprises the following steps: step 1, image preprocessing; step 2, scanning line by line, and recording current line information; 3, run length merging, and current row information updating; and 4, judging whether one frame of image is traversed or not, and calculating the coordinates of the center of mass. According to the multi-light-spot centroid extraction method based on the FPGA and the system applicable to the method, the parallel processing advantage of the FPGA can be exerted, statistical information can be obtained by traversing the image once, two lines of binary image information are cached by utilizing a neighborhood pipeline processing method, resource occupation is reduced, and the running speed of the system is increased.

The invention discloses an image display method, a program product, a substrate management controller and a system, and relates to the technical field of servers, the method is applied to the substrate management controller, and the method comprises the following steps: when a first field of data of a current frame image is read from a video memory by adopting an interlaced scanning mode, according to historical image data stored in a preset buffer area, obtaining a first field of data of the current frame image; acquiring an image change condition of the current frame image; if the image change condition is that the picture change is not obvious, outputting first field data of the current frame image; if the image change condition is that the picture change is obvious, outputting a first field of progressive scanning image corresponding to the current frame image; the current image change degree can be analyzed and determined to adaptively select the display mode of interlaced scanning or progressive scanning, so that the reading behavior on the video memory is reduced through interlaced scanning, the display problems of sawteeth, tearing and the like are reduced through progressive scanning, and the display efficiency can be improved on the basis of not influencing the display effect as far as possible. And the video memory bandwidth required by the display of the BMC is reduced.

The disclosure relates to a transmission device, an encoding device, a decoding device, a transmission method, an encoding method, and a decoding method. This transmission device is provided with: a circuit that, when an image to be processed is a progressive scan image during operation, writes one syntactic element indicating a color difference positioning type into a bit stream; the color difference positioning type is information indicating a position of a color difference sample with respect to a luminance sample for a frame included in the image to be processed, and the color difference positioning type is information indicating a position of a color difference sample with respect to a luminance sample in a case where the image to be processed is not a progressive scan image. Two syntax elements representing the color difference positioning type for each of the two fields included in the image to be processed are written into the bitstream, and the bitstream is transmitted.

The invention relates to an encoding device, a decoding device, a transmitting device, an encoding method, a decoding method, and a transmitting method. In an encoding device, a flag indicating whether or not information indicating the position of a color difference sample with respect to a luminance sample for a frame is included in a bitstream as one syntax element or two syntax elements is encoded in the bitstream. When information indicating the position of a color difference sample with respect to a luminance sample for a frame is included in a bitstream and when an image to be processed is a progressive scan image, one syntax element indicating a color difference positioning type is encoded in the bitstream. The color difference positioning type is information indicating the position of a color difference sample with respect to a luminance sample for a frame included in the image to be processed, and when the image to be processed is not a progressive scan image, two syntax elements indicating the color difference positioning type for each of two fields included in the image to be processed are encoded in a bitstream.

The invention provides a large-size precision measurement method and system based on CD-SEM, and is applied to the technical field of precision measurement, line-by-line scanning is triggered in real time and dynamic compensation is carried out in the continuous motion process of a platform so as to obtain a high-precision large-size image, line-by-line sampling is triggered through a displacement pulse, meanwhile, the displacement of the platform is monitored in real time, and the precision of the large-size image is improved. The position deviation is calculated as a compensation amount to be superposed into a deflection driving signal, so that the dynamic deviation correction of the scanning point position is realized, and the geometric consistency and accuracy of the image are ensured; in the calibration process, the pixel distance of the standard graph is compared with the actual displacement of the platform, and the corresponding pixel equivalent is calculated and used for calculating the physical size of the image. The method effectively solves the problem of precision reduction caused by displacement errors, vibration or uneven sampling in the traditional CD-SEM multi-frame splicing process, has the advantages of high efficiency, large range and measurability, and is suitable for online detection and quality control in the field of semiconductors and precision machining.

To provide an encoder and a decoder to flexibly determine how to process a bit stream portion.SOLUTION: A decoder decodes received bit streams to acquire a supplemental enhancement information (SEI) message. The SEI message includes picture source data, and expresses a confidence level of relative confidence of an encoder in the accuracy of this picture source data. The decoder uses confidence level indication to determine whether the decoder should separately identify a picture as progressive or interlaced picture and / or whether the decoder should identify a duplicate picture, or the decoder receives picture source scanning information in the SEI as valid as it is.SELECTED DRAWING: Figure 6

A visual image processing method based on brain-like processing, belonging to the technical field of image recognition, includes the following steps: Step 1. Divide the image into multiple rows and columns in units of pixels, scan row by row, take the pixel value of each point as the ordinate and the column number where it is located as the abscissa to obtain the digital visual wave of this row. Step 2. Screen out the bands to be screened in each row; Step 3. Take the center points, as well as the front and back endpoints of each band to be screened for screening. Step 32. Perform graphic fitting recognition on the center points and endpoints of the bands to be screened retained in each row and column to obtain the image. The present invention directly extracts, infers, fits and clusters the image pixel value change points through row-by-row scanning and calculation to obtain and recognize the image, improves the image recognition speed and accuracy, reduces the hardware requirements, and is suitable for real-time automatic search, recognition and tracking applications of moving and weak targets in various complex environments.

The invention discloses an over-focus scanning detection device and method based on a rolling shutter camera, and the device comprises a laser transmitting module which is suitable for transmitting detection laser; an objective lens adapted to focus the detection laser light; the sample table is suitable for placing a to-be-detected sample, the focused detection laser enters the to-be-detected sample and is reflected by the to-be-detected sample to obtain a reflected laser rolling shutter camera, and the sample table is suitable for carrying out line-by-line scanning on the to-be-detected sample so as to carry out imaging on the reflected laser of each line of scanning area according to a time sequence, when different areas are scanned line by line, the corresponding wavelengths of the reflected laser are different or the corresponding spatial positions of the to-be-detected sample are different.

The invention provides an automatic synchronous exposure method and system based on a flat panel detector, and the method comprises the steps: carrying out the line-by-line scanning of pixels of the flat panel detector, obtaining the line pixel data of the flat panel detector, and obtaining the summation value of the line pixel data; comparing the summation value of the current row of pixel data with an exposure trigger threshold value in real time, and if the summation value of the current row of pixel data is greater than the exposure trigger threshold value, judging that exposure is started and immediately stopping scanning; after the scanning is stopped, enabling the flat panel detector to enter a silent integral state, calculating the maximum safe exposure time, monitoring the signal change rate in real time, and triggering the flat panel detector to end the silent integral; after silent integration is finished, scanning again to obtain an original exposure image, and processing the original exposure image according to the virtual dark field image data to obtain a net signal image; and performing nonlinear gain correction on the net signal image to obtain a final exposure output image. Through the method, the synchronous exposure performance of the flat panel detector is obviously optimized.

This invention provides a method for optimizing local dimming for Mini-LED backlit displays. This method divides a single-frame image into fixed-size blocks and optimizes dimming based on the brightness of the image blocks, ambient light levels, viewing distance, and the contrast sensitivity characteristics of the human visual system. After brightness compensation, the image blocks are subjected to edge detection. If clogging artifacts are present, secondary brightness compensation is performed on the image blocks based on the contrast sensitivity curve peaks and edge detection results, and the image blocks are then reassembled into a complete image. Otherwise, the image blocks are directly reassembled into a complete image. This method, which comprehensively considers viewing conditions and the characteristics of the human visual system, divides the image into fixed blocks for line-by-line scanning, improving backlight dimming accuracy and reducing energy consumption.

A driving circuit of a display panel and a driving method thereof are disclosed. The display panel includes multiple data lines and fan-out traces connected to the multiple fan-out traces in one-to-one correspondence. The driving circuit includes multiple compensation circuits and a signal input unit. Each compensation circuit includes an input terminal and an output terminal. The output terminals of the multiple compensation circuits are respectively connected to the plurality of fan-out traces. At least two gear positions are set in each compensation circuit. When the gear position of the compensation circuit increases, a capacitance value or a resistance value of the compensation circuit gradually decreases. The signal input unit outputs data signals to the input terminals of the multiple compensation circuits. Each compensation circuit selects a gear position depending on a gray scale of a data signal or a scanning time during progressive scanning of the display panel.