1229 results about "Grey level" patented technology

The invention relates to the technical field of image recognition, in particular to a mechanical casting detection method and system based on image data analysis processing, and the method comprises the following steps: obtaining a casting image gray value, classifying according to a gray scale standard, generating a multi-layer image structure and a layering graph, setting a grid, counting pixels to form a density sequence, extracting a trend region, and building an index table; and extracting multi-angle image boundary point matching intersection points to form a coordinate matrix, screening a stable intersection point set, searching an original image comparison trend coordinate to extract an overlapping region, and generating a defect annotation image result. According to the method, an image is subjected to gray scale division to form a multi-layer structure, texture differential expression is enhanced, a pattern layer grid statistics density sequence is used for extracting a trend region, abnormal distribution positioning is achieved, boundary mutation points in a multi-view image are uniformly mapped, boundary recognition consistency and robustness are improved, and a stable boundary and the trend region are compared and marked; defect expression intuition and credibility are enhanced, and detection precision and stability are improved.

The invention discloses a liquid crystal display screen gray scale control method based on adaptive brightness compensation, which relates to the technical field of liquid crystal display screen control, and comprises the following steps: collecting environmental spectrum distribution information and a pixel gray scale voltage response curve of a liquid crystal display screen in real time, and carrying out fusion processing to form a time sequence joint feature vector; through multi-mode synchronous sampling and time sequence joint feature vector generation, ambient light and screen content changes are accurately captured, target adjustment values of backlight power and gray scale voltage are dynamically predicted, and response lag and overshoot are avoided. Through spectral domain balancing and a self-adaptive damping scheduling mechanism, cooperative control of backlight and gray scale is optimized, high-frequency oscillation is suppressed, and linear response of a low-frequency band is ensured. Meanwhile, Gamma mapping and global color gamut calibration are dynamically refreshed, accurate adjustment of area-level brightness and gray scale is achieved, and continuity of the display effect and visual experience of a user are improved.

The invention provides a backlight dynamic refreshing method and system based on content change frequency, and is applied to the field of image data processing. According to the method, the inter-frame variable quantity of the current image content of the display screen is pre-collected, whether the image refreshing speed is matched with the backlight response or not is judged, the pixel change rate in unit time is calculated based on the frame difference method, the content change frequency index is reasonably divided, the backlight PWM parameters are dynamically adjusted in combination with user setting, and the display quality is improved. The response coordination of the display screen under the dynamic image is effectively improved, when the frame rate fluctuation is recognized, the gray scale compensation frame is introduced and the brightness change slope is limited, and the problems of smear, splash screen and the like caused by asynchronous refreshing can be relieved.

The invention relates to the technical field of liquid crystal display, and provides liquid crystal display equipment based on a field order and a color image display method. An image to be displayed can be decomposed into three sub-frames based on a field sequential display technology, each sub-frame corresponds to a color field, when a liquid crystal panel is driven according to a main color gray scale value of the color field corresponding to each sub-frame, at least one backlight source corresponding to each color field is firstly driven to emit backlight of a first duration within a time period when liquid crystal molecules reach a steady state, and then the backlight source corresponding to each color field is driven to emit backlight of a second duration within a time period when the liquid crystal molecules reach the steady state. The white light of the second duration is emitted after the first duration, so that the white light is added in the backlight lightening stage of each color field, the color gamut range of the color field corresponding to each sub-frame is effectively reduced, and the color separation phenomenon is reduced. In addition, each subframe corresponds to a single color field or a mixed color field, so that the color separation phenomenon in various algorithms can be improved.

The invention relates to display equipment which comprises a liquid crystal display panel, a backlight module and a control circuit. A backlight partition of the backlight module comprises at least one light-emitting unit, the light-emitting unit comprises a first blue light-emitting chip, a green light-emitting chip and a red light-emitting module, and the red light-emitting module comprises a second blue light-emitting chip and a red phosphor located above the second blue light-emitting chip. The control circuit is configured to obtain image frame data, determine input gray-scale values of all color pixels in an image partition corresponding to the backlight partition, and generate all color backlight values of the partition; and driving the green and second blue light-emitting chips based on the green and red backlight values, and not lightening the first blue light-emitting chip or driving the first blue light-emitting chip to carry out blue light brightness compensation based on a comparison algorithm processing result of the blue and red backlight values, thereby improving the display color cast problem. And meanwhile, driving data are generated based on the input gray-scale values of the color pixels to drive the panel, so that the display effect of the display equipment is improved.

The invention relates to the technical field of intelligent manufacturing, in particular to an insect protein extraction automatic production line and quality tracing method based on machine vision, which comprises the following steps of: acquiring an image and pressure data advancing time sequence, comparing a path and pressure fluctuation, identifying an abnormal section image frame, extracting a boundary and gray scale difference, and marking a structure defect. And matching action time, sorting station abnormity, combining a frame sequence and a chamber number, searching a traceability table record, updating an abnormal state field, and forming a quality traceability result set. According to the method, an image particle path and a pressure intensity signal are propelled in parallel in a time dimension, the synchronous recognition capability of image change and a physical state is enhanced, a structural anomaly judgment basis is constructed by particle boundary pixels and gray scale difference, and image time and a push rod action form uninterrupted binding through natural superposition; receiving frames and cavity serial numbers are classified into a unified serial number logic according to a time sequence, abnormal identifiers and channel information are embedded into batch fields in parallel, images are communicated, and abnormal tracing and positioning are carried out.

The invention relates to the technical field of anomaly detection, in particular to a circuit board processing anomaly detection system which comprises an image anchoring module, a gray scale comparison module, a candidate area screening module, a gradient closing verification module and a behavior track evolution module. According to the method, by setting the gray scale anchor points in the image frames and collecting the standard gray scale values, deviation accumulation caused by the overall illumination change of the image can be effectively avoided, the response delay area is recognized through inter-frame gray scale comparison, and early intervention on the etching abnormal process is achieved; a gray scale fluctuation low-amplitude segment in an image boundary region is extracted to recognize a texture missing region, the recognition accuracy of structural blur is enhanced, fine extraction of an abnormal structural form is realized in combination with gray scale gradient chain construction and a closed error judgment mechanism, region response change trajectory tracking in a frame sequence is superposed, and the recognition accuracy of structural blur is improved. Therefore, the judgment is not limited to single-frame anomaly detection and has a time sequence evolution recognition capability, an abnormal symptom region is stably captured, and a reliable detection result is generated.

The invention discloses a multi-modal ultrasonic image intelligent analysis system based on deep learning, particularly relates to the field of ultrasonic image intelligent analysis, and is used for solving the problems of speckle noise and displacement artifacts caused by sound beam attenuation during deep abdomen scanning of a bedside ultrasonic person with a relatively high in-vivo quality index. Partition noise reduction is guided through pixel noise distribution associated with depth and attenuation, and deep micro-textures are reserved; the color flow velocity and the elastic displacement are anchored through the noise reduction gray scale edge, three-mode sub-pixel alignment is completed, and cross-channel deformation and drift are eliminated; the self-attention fusion network synchronously extracts texture, speed and hardness features on the unified alignment surface to realize coupling of a complete biological structure and dynamic information; the texture residual error rate and the flow rate matching degree form complementary evaluation, noise distribution and alignment grid real-time self-adjustment are driven, frame-by-frame iteration convergence is achieved, and image definition and feature consistency are continuously improved.

The invention provides a time sequence control circuit, a data driving circuit, a display panel and a data output method. Wherein the time sequence control circuit is used for receiving an image signal and correspondingly outputting a data signal and a data latch signal, and the time sequence control circuit at least comprises a detection unit and a signal generation unit. The detection unit determines a corresponding refresh rate according to the data signal and outputs a corresponding detection signal. The signal generation unit outputs a data latch signal according to the detection signal, and adjusts the duty ratio of the data latch signal or the switching speed of the two potentials when the refresh rate is increased. The data driving circuit outputs a gray scale voltage corresponding to the data signal to a pixel unit in the display panel according to the data latch signal.

The invention relates to a method for displaying sixteen gray scales by an electronic paper price tag type display module, which comprises the following steps of: performing refreshing by utilizing a condition that at most four waveforms are controlled during refreshing each time in a new and old data comparison mode by utilizing a 1-bit data IC (Integrated Circuit) of electronic paper, identifying the first three gray scales and pure white gray scales in sixteen gray scale data during the first refreshing, and displaying the sixteen gray scales in the sixteen gray scale data; converting into data of corresponding waveforms, and brushing four corresponding gray scales through the debugged gray scale waveforms; in the second to fifth refreshing, three pieces of gray scale data are identified each time, and the debugged corresponding gray scale waveform is called to brush out three gray scales; the method is used for sixteen-gray-scale display through five times of superposition of different-gray-scale pictures.

The invention provides a color stripe removing method and device and a display device.The method comprises the steps that a viewpoint mapping graph of a display panel is obtained, the viewpoint mapping graph comprises the corresponding relation between pixels and viewpoints of the display panel, and the pixels comprise multiple sub-pixels; according to the viewpoint mapping graph, determining the number and the arrangement sequence of sub-pixels corresponding to the first viewpoint in the first viewpoint period; and according to the number and the arrangement sequence of the sub-pixels corresponding to the first viewpoint in the first viewpoint period, adjusting the gray-scale values of the sub-pixels in the first viewpoint period so as to control the brightness of the sub-pixels in the first viewpoint period. By means of the method, color stripes appearing when the display device displays in a naked eye mode can be reduced or even eliminated, and therefore the naked eye display effect of the display device is improved.

The invention provides a display device and a driving method thereof, and the display device comprises a display module which comprises a time schedule controller and a display panel which are electrically connected; the backlight module comprises a backlight driving circuit and a light-emitting unit which are electrically connected, and the backlight driving circuit is used for driving the light-emitting unit to emit light; the control module is electrically connected with the backlight module and the display panel; the control module is configured to analyze a frame image in a received video signal to obtain sub-field pixel data and sub-field backlight data; and generating the liquid crystal driving signal and the backlight driving signal according to the sub-pixel data and the sub-field backlight data, and sending the liquid crystal driving signal and the backlight driving signal to the time schedule controller and the backlight driving circuit. According to the method, the gray-scale value of the input data is mapped, the color depth of field order display is improved, and the time crosstalk problem is optimized.

The invention provides a low-gray-scale image imaging defect visual detection method and system for an OLED display screen. The method comprises the following steps: aiming at original image data of a display screen, extracting a gray scale picture with a pixel brightness mean value lower than a preset brightness threshold value as a first image, carrying out color characteristic analysis on the first image, and generating a second image marked with a chromaticity feature vector; identifying the chromaticity feature vector according to the second image, generating a feature vector matrix for representing chromaticity distribution of each pixel in the second image, and performing color jump analysis through the feature vector matrix to obtain a third image; extracting a jump region in the third image, and setting marks for distinguishing different dispersion distribution for chromaticity distribution dispersion distribution according to the jump region to obtain a fourth image; and identifying dispersion distribution according to the fourth image, combining with a chromaticity abnormal pixel region in the hopping region, performing pixel classification in the hopping region, and setting defect marks for pixels with imaging defects represented by a classification result to obtain a fifth image.

The embodiment of the invention provides a display device and a display panel, relates to the technical field of display, and is used for improving the display effect of the display panel. The display device includes a control circuit and a display panel. The control circuit outputs a first control signal when the refresh frequency of the display device is a first frequency, or outputs a second control signal when the refresh frequency of the display device is a second frequency. The first frequency is greater than the second frequency. The display panel comprises a plurality of scanning circuits and a plurality of rows of sub-pixels, and each scanning circuit is connected with at least one row of sub-pixels. The scanning circuit outputs a first scanning signal according to the first control signal, or outputs a second scanning signal according to the second control signal. Wherein the signal parameter of the first scanning signal is different from the signal parameter of the second scanning signal, so that the brightness difference when the display panel displays the set gray scale at the first frequency and the second frequency is within a preset range.

The present application provides a display aging compensation method and related apparatus, relating to the field of terminal technology. The method includes: for the same grayscale at different display brightnesses of the electronic device, different grayscale compensation methods may be used to compensate for the display aging of the electronic device. Based on the aging attenuation direction of each grayscale at different brightnesses, a matching grayscale compensation method is used to perform display compensation. The grayscale compensation method includes increasing the grayscale method or decreasing the grayscale method. Grayscale compensation is performed by utilizing the characteristic that the aging attenuation direction of each grayscale at different display brightness is inconsistent. In this way, the afterimage caused by inaccurate grayscale compensation can be reduced, thereby improving the grayscale compensation effect of each grayscale in the full brightness range.

A cockpit display system includes a cockpit, a first display apparatus, a first light sensor, a second light sensor and a brightness distribution calculation module. The first light sensor is suitable for detecting a first ambient light brightness. The second light sensor is suitable for detecting a second ambient light brightness. The brightness distribution calculation module is suitable for respectively calculating a first brightness and a second brightness of the first display area and the second display area of the first display apparatus under a same display gray level according to the first ambient light brightness and the second ambient light brightness. The first brightness and the second brightness are different from each other.

The invention relates to a real-time image quality optimization method and system for intelligent display equipment, and the method comprises the following steps: carrying out the real-time sensing of the preset environment illumination intensity and watching distance of the display equipment, and obtaining a scene parameter data stream; performing dynamic brightness mapping on a target display image in the display device based on the scene parameter data stream to obtain a brightness compensation curve; performing pixel-level modulation on the target display image based on the brightness compensation curve to obtain image enhancement data; performing color space conversion on the image enhancement data to obtain a color enhancement matrix; gray scale voltage modulation is carried out on the display panel based on the color enhancement matrix, an optimized display image is obtained, and the technical problem that overexposure or color distortion of an image is prone to occurring in a strong light or weak light environment due to the fact that a traditional image enhancement technology is difficult to adapt to a complex and changeable viewing environment is solved.

The invention belongs to the technical field of semiconductor display, particularly relates to a backlight and display drive cooperative control LED module system, and aims to solve the problems of brightness distortion, halo effect and energy efficiency degradation caused by disconnection of backlight and pixel control in high dynamic range display. The system generates adaptive backlight distribution through image semantic analysis and illumination field reconstruction, and realizes stable light output in combination with dynamic cutting compensation and temperature feedback; and the display driving end performs gray scale feedforward correction according to the backlight state, and introduces a cross-domain error back propagation mechanism to realize frame-level online calibration. And the dynamic response and the processing real-time performance are further optimized through motion vector sensing and double-phase time sequence scheduling. According to the system, the contrast ratio is increased to more than 100000: 1, the halo radius is reduced to 40% of that of a traditional scheme, the power consumption is reduced by 18%, and the visual experience and the operation stability are remarkably improved.

The invention relates to a display device. The display device comprises a display screen and a processor. The display screen is used for displaying images and comprises a plurality of pixels, and one pixel comprises a plurality of sub-pixels used for transmitting light of different colors. The processor is connected with the display screen and the backlight module, and the processor is configured to perform image analysis on the to-be-displayed image, obtain a gray scale average value of the to-be-displayed image, and obtain a corresponding multi-level classification label and a corresponding confidence coefficient; the confidence coefficient is used for representing the accuracy of the multi-level classification labels; determining a corresponding lookup table according to the multi-level classification label and the corresponding confidence coefficient; the lookup table comprises a corresponding relation between the multi-level classification labels and the pixel compensation gains; determining a pixel compensation gain according to the lookup table; calculating the pixel value of each pixel in the display screen according to the gray-scale value of each sub-pixel and the pixel compensation gain; and adjusting the transmittance of each pixel in the display screen based on the pixel value. The pixel compensation effect can be improved, and then the display effect is improved.

The invention provides a display device and a display method thereof, the display device comprises a plurality of pixels, a sub-pixel in the pixels comprises a light emitting element and a pixel circuit which are electrically connected, when the gray-scale value of the sub-pixel is smaller than or equal to a preset gray-scale value, digital signals corresponding to different gray-scale values are different, analog signals corresponding to different gray-scale values are all preset analog signals, and when the gray-scale value of the sub-pixel is smaller than or equal to the preset gray-scale value, the digital signals are different. The pixel circuit is used for driving a corresponding light-emitting element to emit light according to a preset analog signal and a digital signal of a gray-scale value, and the preset gray-scale value is the gray-scale value corresponding to the current density when the light-emitting efficiency of the light-emitting element is maximum; the current density of the light-emitting element is the current density when the light-emitting efficiency of the light-emitting element is maximum, the overall power consumption of the display device during image display is reduced, and application of the display device to scenes such as virtual reality is facilitated.

The invention provides a display screen defect detection method and system based on machine vision and a medium, and the method comprises the steps: setting light source parameters, forming a detection illumination environment, and placing a display screen panel in the illumination environment; the method comprises the following steps: acquiring an image of a display screen panel under a high-gray-scale background based on a high-dynamic industrial camera to obtain a display screen panel image, and preprocessing the display screen panel image to obtain a preprocessed image; extracting image features based on the preprocessed image, and screening spot features and texture features in the image based on the image features; performing defect feature extraction on the spot features and the texture features based on a threshold segmentation algorithm to obtain defect information; classifying the defect features based on the defect information to obtain different defect types, and generating a detection report; by dynamically adjusting the light source parameters of the illumination environment, a better detection environment is provided, the defect features are segmented according to the threshold segmentation algorithm, the spot defects of the display screen panel are accurately analyzed, and the detection precision is improved.

The invention discloses a field sequential display pixel potential monitoring compensation method, which comprises the following steps of: respectively applying a first square wave and a second square wave to a pre-storage capacitor and a pixel capacitor through a compensation signal and a pixel signal line, and collecting electric leakage data under different target gray scales; constructing an electric leakage index relationship based on the electric leakage data; acquiring the pixel voltage of the Nth frame; a first compensation amount is obtained based on the pixel voltage and the electric leakage index relation, so that the pre-stored voltage is preset pre-stored voltage in the (N + 1) th frame; obtaining a pre-stored voltage of the (N + 2) th frame and a pixel voltage of the (N + 1) th frame; obtaining a second compensation amount based on the electric leakage index relationship, the pre-stored voltage of the (N + 2) th frame and the pixel voltage of the (N + 1) th frame; and obtaining the compensation voltage of the Nth frame of the compensation circuit based on the first compensation amount and the second compensation amount. The beneficial effects of the invention are that the voltage writing size of the data signal is adjusted by monitoring the electric leakage condition of the voltage, so that electric leakage compensation is carried out, and the precise control of the voltage brightness and the picture uniformity are realized.

The invention relates to the technical field of display methods, in particular to an adaptive multi-scene dynamic picture compensation method, which comprises the following steps of: judging dynamic pixels according to pixel-level gray scale difference operation results of a previous frame and a current frame and edge detection results of the previous frame and the current frame; according to the dynamic characteristics of each region of the picture, carrying out distinguishable region segmentation on the display picture; performing dynamic classification according to the dynamic pixels in each block; and performing elastic LUT configuration and management according to different dynamic levels, and outputting a compensation frame. According to different dynamic scenes, in combination with regulation and control of hardware, adaptive dynamic compensation of different scenes is experimented. The hardware module is responsible for quickly completing basic dynamic scene judgment, and the CPU adjusts the division mode of compensation parameters according to different display scenes, so that the image quality is improved, the excessive compensation is improved, and the problem of insufficient self-adaptability in different scenes in the prior art is solved.

A display screen, and a display compensation method and display compensation device therefor. The display compensation method includes: acquiring actual measured brightness values of sub-pixel units in the display screen at target gray scales; mapping the actual measured brightness values to actual measured gray scales; establishing a function model relating compensation gray scale (dependent variable) to drive gray scale (independent variable); determining a constant of the function model based on the target gray scales and the actual measured gray scales and calculating compensation gray scales; acquiring a parameter which characterizes a degree of difference between the compensation gray scale and the corresponding target gray scale; and determining optimal compensation gray scales based on the parameter

The invention discloses a high-precision gray scale response time testing system and method for a display panel. The system comprises a control device, a gray scale testing device and a sealing device. The control device is in wireless connection with the gray scale testing device, and the control device is also in communication connection with the sealing device; the sealing device is used for completely sealing the gray scale testing device and the to-be-tested display panel during testing and detecting the testing temperature and the optical signal change of pixels; the control device transmits a gray scale picture test signal to the gray scale test device, so that the display panel to be tested switches different gray scale pictures; after the sealing device is completely sealed, the control device controls the test temperature through the sealing device. The gray scale test can be carried out when the preset temperature is reached, the gray scale test accuracy is improved, the energy loss is reduced, and the problem that in the test process of an existing display panel, the test space cannot be completely closed, the temperature parameter cannot be accurately controlled, and the test result is inaccurate is solved.

The invention discloses a remote sensing image land use overrun identification method and system based on deep learning, and the method comprises the steps: obtaining a land use remote sensing image, and carrying out the preprocessing of the land use remote sensing image, so as to obtain a to-be-identified image pair; performing feature extraction and matching on a picture pair needing to be recognized by using a pre-trained Siamese-Resnet50 model and a gray-level co-occurrence matrix so as to obtain depth similarity and texture similarity; based on the depth similarity and the texture similarity of the picture pair, performing dynamic weight feature fusion calculation to obtain comprehensive similarity; and comparing the comprehensive similarity with a set judgment threshold, judging whether the land use range of the remote sensing image exceeds the limit or not, and outputting a result. According to the method, the depth similarity, the gray level co-occurrence matrix (GLCM) texture features and the dynamic weight adjustment strategy are combined, high-precision detection and anomaly recognition of the land use range are achieved, the problem that ultralimit recognition is difficult is solved, and the recognition efficiency is improved.

A light emission control method comprises the following steps: (A) determining an N value; (B) obtaining M different presentation sequences; (C) in the current time interval, for each to-be-displayed picture, according to the picture gray-scale value corresponding to each light-emitting component in the to-be-displayed picture and the total number N of the sub-periods, determining the number of display time periods of units to which each light-emitting component is divided in each sub-period by using the current sequence; (D) in the next time interval, for each to-be-displayed picture, according to the picture gray-scale value corresponding to each light-emitting component in the to-be-displayed picture and the total number N of the sub-periods, determining the number of display time periods of units to which each light-emitting component is divided in each sub-period by using the next sequence; and (E) repeating the step (D) until the next sequence is the previous sequence of the current sequence, and returning to the step (C). Therefore, artifacts are improved.

The invention discloses a cholesteric phase LCD multi-gray-scale display method and system, and the method comprises the steps: decomposing each physical pixel in a cholesteric phase LCD into a plurality of sub-pixels which can be addressed independently, and distributing x gray-scale voltages to each sub-pixel, where x is greater than or equal to 1; controlling all sub-pixels in the cholesteric LCD to enter a P state; obtaining RGB pixel data corresponding to the to-be-displayed image and a target gray scale level n, and mapping the RGB pixel data to the corresponding target gray scale level n according to a pre-stored gray scale division strategy to obtain gray scale data corresponding to the RGB pixel data; and generating a control signal of the cholesteric LCD based on the gray-scale data to control the gray-scale state of each sub-pixel, acquiring a field synchronization signal, and generating a PWM signal according to the field synchronization signal to control a power circuit in the cholesteric LCD to output a gray-scale voltage matched with the gray-scale data so as to realize multi-gray-scale display of the cholesteric LCD. According to the method and the system, the gray scale level is remarkably improved under the condition of limited driving voltage.

The invention discloses a low-delay Mini LED backlight source control method and system, and belongs to the technical field of LED backlight sources, and the method comprises the following steps: obtaining each low-gray-scale brightness region; obtaining a low-gray-scale brightness distortion judgment result and each low-gray-scale brightness distortion region; the PWM duty ratio correction factor of each low-gray-scale brightness distortion area is obtained, PWM duty ratio iterative adjustment is carried out, a PWM duty ratio iterative adjustment judgment result is obtained, if the PWM duty ratio iterative adjustment judgment result is qualified, processing is completed, and otherwise, exposure duration adjustment is executed; if the halo judgment result is qualified, halo improvement treatment is not carried out, and otherwise, halo improvement treatment is carried out; the brightness distortion and halo influence of the Mini LED backlight source in a low-gray-scale scene can be accurately restored, and the problem of halo caused by low-gray-scale brightness distortion and partition edge sudden change due to insufficient control precision in the prior art is solved.