91 results about "Color depth" patented technology

The invention provides a self-adaptive color depth optimization method for a liquid crystal display screen, which comprises the following steps of: acquiring manual adjustment operations of a user on brightness, contrast and color parameters of the liquid crystal display screen in different use scenes to form a user preference data set; according to the user preference data set, a data classification method is adopted to classify manual adjustment operations in different use scenes, and features of ambient light and content types are extracted to determine preference feature distribution of a user in a specific scene, and a personalized color preference model is constructed; preliminary calibration is carried out in combination with a dynamic balance algorithm, and display parameters are optimized through a continuous learning mechanism and secondary calibration. The problem that in the prior art, color adjustment of a liquid crystal display screen lacks individuation and scene self-adaption capacity is solved, continuous self-adaption of the display effect is achieved, manual intervention of a user is reduced, and the individuation degree and comfort degree of visual experience are improved.

The invention relates to the technical field of image recognition, in particular to a smart home scene interaction method based on an image recognition technology, which comprises the following steps of: capturing real-time image data of a resident based on a camera, and extracting pixel points and color depth information in an image to obtain initial posture data; and based on the initial attitude data, an OpenPose algorithm is applied to detect a joint position, the attitude of the resident is identified, and a joint position analysis result is generated. According to the invention, based on the motion trail analysis of the time sequence, the system can analyze the conversion process of different postures, and the stability of behavior classification is improved. And joint motion analysis is adopted, so that classification of behavior states is more detailed, different subtle motion changes under the same category can be recognized, and misjudgment is reduced. In combination with an environment parameter dynamic adjustment strategy, the system can perform personalized adjustment according to a user state instead of depending on a fixed rule to perform equipment control.

An image fusion device and an image fusion parallel optimization method are provided. After a plurality of images are aligned to each other to form a superimposed image, the image fusion device filters the superimposed image to obtain a feature image. The image fusion device compares color depths of pixel points in each of a plurality of pixel regions of the feature image with each other to determine a maximum color depth of each of the plurality of pixel regions. When a relationship between the color depth of any one of the pixel points and the maximum color depth in each of the plurality of pixel regions does not meet a preset relationship, the image fusion device adjusts the color depth of the one of the pixel points according to the maximum color depth. The image fusion device generates a fused image according to the adjusted feature image.

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 belongs to the field of supply and demand platforms, and particularly relates to a carbon neutralization field-oriented supply and demand intelligent docking platform, and the platform comprises an upper chain registration module which constructs a user registration auditing chain through a block chain, and dynamically maps the user level authority based on a registration channel, a historical reputation score and release limit limitation; the auditing module is used for classifying auditing rules into a first auditing rule and a second auditing rule, and mapping the first auditing rule and the second auditing rule to a basic information auditing sub-node and an application publishing sub-node of the user node by using an intelligent contract to realize automatic grading auditing; the matching engine module is used for analyzing the release template corresponding to the user identity, outputting a candidate list and matching accuracy in combination with an authority level, a supply and demand double-layer node network and a historical rapid index, and dynamically optimizing a matching result based on a score fed back by the user; the visual module is used for regulating and controlling the length and color depth of a connection relation between supply and demand nodes in real time; according to the application, the auditing efficiency, matching precision and interaction experience of carbon neutralization resource docking are remarkably improved.

The present application relates to the field of product quality inspection and evaluation of composite materials, and in particular, a method for rapid inspection and evaluation of zeolite loading and zeolite loading uniformity in zeolite composite materials, specifically as follows: in a multi-component system containing zeolite, by sequentially performing selective coloring operations and enhanced color development operations on zeolite microparticles, the originally colorless zeolite microparticles are transformed into zeolite particles with a specific dark color, and the color of the non-zeolite components is not changed during the above-mentioned treatment process, thereby transforming the microscopic zeolite loading determination technical problem into a macroscopic color depth analysis problem. The inspection and evaluation method of the present application has the advantages of being fast, low-cost, and capable of parallel operation. Based on the inspection and evaluation method provided by the present application, an analysis technology for continuous and non-omission load uniformity information of the inspection area can be developed.

The present application discloses a robot control method, device, robot, electronic device and storage medium, which belongs to the field of artificial intelligence technology. The robot control method includes obtaining a first color depth image of the target scene at the current moment and the execution action information of the robot; inputting the first color depth image and the execution action information into the dynamic prediction module of the target world model, and obtaining the predicted scene flow of the target scene at the next moment output by the dynamic prediction module; inputting the predicted scene flow and the first color depth image into the diffusion module of the target world model, and obtaining the second color depth image of the target scene at the next moment output by the diffusion module. This method can effectively predict the motion trajectory of an object and the law of change of the environmental state, and control the robot according to the prediction results, thereby improving the accuracy and response speed of the robot control strategy and enhancing the reliability of the robot in complex scenes.

The present application relates to a kind of road crack detection method, device and medium based on cross-modal feature fusion, method includes the following steps: obtaining the color feature and depth feature of road crack data, color depth feature is obtained by fusing color feature and depth feature, color feature, depth feature and color depth feature are input into the detection network based on cross-modal three-flow feature fusion network for detection;Wherein, cross-modal three-flow feature fusion network includes cross-modal interactive fusion module and global interactive module, color feature extraction module and depth feature extraction module extract the color feature and depth feature of road crack data respectively, color feature, depth feature and color depth feature are fused by improved cross-modal interactive fusion module, form comprehensive feature, again by global interactive module for splicing, obtain splicing result, and detection network obtains detection result based on splicing result.Compared with prior art, the present application has the advantages of high precision, high definition and the like.

The invention relates to the technical field of image processing, and discloses an image color adjustment method and device, electronic equipment and a computer storage medium, and the method comprises the steps: obtaining color channel parameters of pixel points in a to-be-debugged image, the color channel parameters comprising the current color gradation of a plurality of color components of the pixel points in the to-be-debugged image in the current color space; determining a coordinate range of each color component in a preset coordinate system according to the target color depth; based on a mapping relationship between the coordinate range and a total color gradation corresponding to the color component, determining a position coordinate corresponding to a current color gradation of a color channel parameter of the to-be-debugged image in the coordinate range; and adjusting the color channel parameters on the position coordinates to obtain a target debugging image. According to the method and the device, accurate control and free debugging of the image color are realized, and the color debugging precision can be concrete, so that when the image color is debugged, the high-precision color gradation can be adjusted through the coordinates, and the fineness of image color debugging is improved.

The invention belongs to the technical field of image processing and privacy protection, and particularly relates to a deep face anonymization standardization processing and evaluation system. The system comprises a data preprocessing module, a multi-technology integration anonymization module, a cross-scene test set module, a multi-dimensional evaluation module and a visual interaction module. The data preprocessing module realizes face data standardization processing by unifying image size, resolution and color depth standards and combining Dlib face detection and feature point positioning; the multi-technology integration anonymization module packages mainstream anonymization technologies such as FIT, G2Face, DeepPrivacy and the like, and provides an extensible interface; the cross-scene test set module covers face samples of different illumination, postures and ages; the multi-dimensional evaluation module constructs an evaluation system from privacy protection intensity (re-recognition rate, cosine similarity and the like), image quality (FID, SSIM and the like), attribute maintenance (difference measurement of expressions, hairstyles and the like) and processing efficiency (time / memory consumption); and the visual interaction module supports data uploading, technology selection, result viewing and automatic report generation. According to the method, the problems of no unified architecture and evaluation fragmentation in the prior art are solved, standardized processing and fair evaluation of a face anonymization technology are realized, and a privacy protection technology is promoted to be applied to the ground.

The invention discloses a color image and depth image fusion processing method and computer equipment, and the method comprises the steps: obtaining a first two-dimensional color image and a first two-dimensional grayscale image of a current field of view from an image sensor, and obtaining a second two-dimensional grayscale image of the current field of view according to the output of a laser radar sensor; acquiring a depth image and a second two-dimensional grayscale image of the current view field; carrying out registration on the first two-dimensional gray scale image and the second two-dimensional gray scale image so as to obtain registration information; according to the registration information, converting the first two-dimensional color image to obtain a second two-dimensional color image; and according to the second two-dimensional color image, endowing color information to corresponding pixels on the depth image so as to generate a color depth image. By implementing the technical scheme of the invention, more accurate registration information can be obtained, and color dislocation of the generated color depth image is greatly reduced.

The application provides an image processing method and device, a computer readable storage medium and an electronic device, relates to the technical field of image processing, and can cut a first image corresponding to a first color depth into a second image corresponding to a second color depth, and normalize the second image into a sample image of the first color depth to simulate a low dynamic range image. Application of such a sample image in model training can facilitate the model to learn the problem of the low dynamic range image, thereby avoiding the model from generating an image with a highlight edge smear problem.

The present disclosure discloses a display method and device in a game, electronic equipment and readable storage medium, which relates to the technical field of computer. The method comprises the following steps: rendering a model in response to a rendering instruction to obtain color data of the model; performing first vertex expansion on the model to obtain a first model; generating color data of a first hollow part based on the first model; performing second vertex expansion on the model to obtain a second model; generating color data of a second hollow part based on the second model; performing third vertex expansion on the model to obtain a third model; generating color data of a first stroke part based on the third model; performing fourth vertex expansion on the model to obtain a fourth model; generating color data of a second stroke part based on the fourth model; and displaying the model with a hollow ink stroke effect according to the color depth data of the model, the color depth data of the first hollow part, the color depth data of the second hollow part, the color data of the first stroke part and the color data of the second stroke part.

The invention discloses a display terminal color depth testing method and related equipment, and relates to the technical field of display terminal testing, and the method comprises the steps: obtaining a plurality of candidate color depth levels supported by a to-be-tested display terminal; respectively converting the plurality of candidate color depth levels into respective corresponding gray scale ranges; generating a color depth test picture based on all the gray scale ranges obtained through conversion; a test signal containing the color depth test picture is sent to the display terminal to be tested for display; and determining the highest color depth level actually supported by the to-be-tested display terminal according to the visual distinguishable condition between the display areas in the picture obtained after the to-be-tested display terminal displays the received test signal. According to the method, the color depth levels of the candidate colors supported by the display terminal to be tested are obtained at a time, and the color depth test picture containing the multiple corresponding display areas is generated, so that the problem of low efficiency caused by the fact that signals must be generated, switched and displayed step by step in an existing serialization test method is directly solved.

The invention provides an abnormal lamp point detection method, device and equipment, a medium, a product and a system, relates to the technical field of display, and can accurately detect the color mixing defect when an LED display screen is normally turned on. The abnormal lamp point detection method comprises the following steps: acquiring a target image obtained by shooting display content of a lightened to-be-detected display module; acquiring a brightness feature and a chrominance feature of the target image; the brightness feature is used for representing the brightness of each lamp point in the display module to be detected; the chromaticity feature is used for representing the color depth of each lamp point in the display module to be detected; and according to the brightness characteristics and the chroma characteristics, detecting abnormal lamp points with color mixing defects in the display module to be detected.

An image display method includes: obtaining both an original image and a color rendering parameter corresponding to an image to be displayed, a bit number of color depth of the original image being smaller than a bit number of color depth of the image to be displayed; generating the image to be displayed according to the original image and the color rendering parameter; and displaying the image to be displayed.

The invention discloses a positioning monitoring method and system for large-scale turnover materials, and the method comprises the steps: obtaining the position of each construction site, and obtaining the region coordinates of each construction site; the number of the large-scale turnover materials of each construction site is obtained, and the number of the large-scale turnover materials is stored in a data mode; a blank picture is established, a plurality of pixel points are arranged on the blank picture, and the position distribution of each pixel point is expressed through pixel coordinates; converting the area coordinate of each construction site into a pixel coordinate to obtain the area of each construction area on the blank picture; and converting the color values into color values through the conversion coefficients, and assigning the color values corresponding to the construction sites to the areas of the blank pictures corresponding to the construction sites. According to the method, the positions of the construction sites are displayed in the monitoring graph in a regional mode, and meanwhile, the number of the large turnover materials in each construction site is displayed according to the color depth, so that the large turnover materials are managed in a visual mode, and the method is clear and visual.

This specification discloses a method, apparatus, storage medium, and electronic device for generating report charts. The method includes: acquiring chart data input by a user; identifying the chart data to determine whether it contains a theme marker; if so, determining the primary color of the report chart based on the hue corresponding to the theme marker; otherwise, inputting the chart data into a pre-trained classification model to determine the industry sector to which the chart data belongs, and determining the primary color based on the industry sector; if a call instruction corresponding to a geographic information component is received, determining a first background color based on the hue corresponding to the primary color, and setting the background color of the report chart to the first background color; otherwise, setting the background color of the report chart to a second background color, wherein the color depth of the first background color is greater than the color depth of the second background color; and rendering each element contained in the chart data according to the background color and primary color of the report chart to generate a report chart.

The present invention discloses a method for predicting pedestrian crossing intention, which includes: obtaining a fully trained target prediction model, an RGB image to be processed, and a pedestrian optical flow map, wherein the target prediction model includes a color map prediction network structure and an optical flow map prediction network structure, the color map prediction network structure includes a color 3D depth-separable convolution layer and a color lightweight attention mechanism module, and the optical flow map prediction network structure includes an optical flow 3D depth-separable convolution layer and an optical flow lightweight attention mechanism module; the computational complexity of the color map and the pedestrian optical flow map is compressed by the color 3D depth-separable convolution layer and the optical flow 3D depth-separable convolution layer, and then the feature extraction and learning capabilities of important channels in complex spaces are improved by the color lightweight attention mechanism module and the optical flow lightweight attention mechanism module, thereby reducing the computational complexity and parameter quantity of the pedestrian crossing intention prediction model and improving the possibility of the prediction model being applied in practice.

The utility model discloses a lining paper production color matching system which comprises a machine frame, a mixer arranged in the machine frame, a material matching control tank arranged at the top of the machine frame and a color matching system, the color matching system comprises a processor, the input end of the processor is electrically connected with a color input device, and the output end of the processor is electrically connected with a controller. The output end of the processor is electrically connected with a color ingredient data storage module in a bidirectional mode, the output end of the processor is electrically connected with a proportion displayer, the output end of the proportion displayer is electrically connected with a controller, the output end of the controller is electrically connected with a motor, and the output end of the controller is electrically connected with an air cylinder. According to the utility model, the color mixing system is arranged, so that the proportion of pigments can be accurately adjusted, the colors are uniform, the uniform proportion is ensured when a user uses the color mixing device, the same color is uniformly mixed, and the same color can be uniformly mixed, so that the normal use of the user is ensured.

Example embodiments allow for training an encoder (e.g., an artificial neural network (ANN)) to generate a color palette based on an input image. The color palette can then be used to generate a quantized, reduced color depth image corresponding to the input image using the input image. The differences between a plurality of such input images and the corresponding quantized images are used to train the encoder. An encoder trained in this manner is particularly suitable for generating color palettes for converting images into different reduced color depth image file formats. Such an encoder also offers advantages in terms of memory usage and computational time or cost relative to median cut algorithms or other methods for generating reduced color depth color palettes for images.

The embodiment of the invention discloses a hyperspectral image processing method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining crop images of a target crop, wherein the crop images comprise a first color image and a first depth image collected by a color depth camera and a first hyperspectral image collected by a hyperspectral camera; obtaining target joint calibration parameters of the color depth camera and the hyperspectral camera; and performing three-dimensional point cloud reconstruction on the first color image and the first depth image by using the target joint calibration parameter, and determining depth information corresponding to the first hyperspectral image based on first point cloud data obtained by reconstruction, the depth information being used for representing a first distance between the hyperspectral camera and the target crop when the hyperspectral camera collects the first hyperspectral image. According to the scheme, information of the color depth camera and information of the hyperspectral camera can be fused, and the first distance between the hyperspectral camera and the target crop is accurately determined when the hyperspectral camera collects the first hyperspectral image.

The present disclosure relates to the field of artificial intelligence, in particular to an online point cloud semantic segmentation method, an online point cloud semantic segmentation device, a storage medium and an electronic device. The online point cloud semantic segmentation method comprises: collecting a color depth image in real time, and converting pixel points in the color depth image into a current point cloud set based on depth data of the pixel points; performing vertex fusion on the current point cloud set and a historical point cloud set through point cloud registration to obtain geometric features and time sequence semantic states corresponding to the pixel points; performing feature fusion on the geometric features and color data of the pixel points in the color depth image to obtain semantic features of the color depth image; and performing semantic segmentation according to the semantic features and the time sequence semantic states to obtain a semantic segmentation result of the pixel points. The online point cloud semantic segmentation method aims to output accurate and stable point cloud semantic segmentation results online.

The present invention provides a multi-target personnel identification and positioning method based on RGB-D image segmentation, comprising an offline training phase and an online positioning phase. The offline training phase collects training data, then uses a Yo L OV3 network to establish a multi-target detection model, then establishes a target recognition model after classification learning, generates a color depth map for image segmentation, and then uses a convolutional neural network to obtain a position estimation model. In the online positioning phase, after collecting online data, personnel identification is completed using the multi-target detection model and the target recognition model; a color depth map is generated; and the position estimation model is used to complete the positioning of the personnel target. Compared with the prior art, the multi-target personnel identification and positioning method based on RGB-D image segmentation of the present invention solves the problems of insufficient flexibility and accuracy of existing multi-target personnel identification and positioning methods by generating a color depth map, performing image segmentation according to the Yo L OV3 network recognition results, and inputting the segmented image into the position estimation model to complete the positioning of the personnel target.

Provided are a coated article having an excellent color depth sensation and a method for producing the same. A coated article having an object to be coated, and a multilayer coating film having a brilliant coating film containing a brilliant pigment, a colored coating film containing a colored pigment, and a clear coating film, in which the ratio (L * 15 / L * 110) of the lightness L * 15 to the lightness L * 110 is 5-9, inclusive, and the ratio (L * 15 / L * 110) of the lightness L * 15 to the lightness L * 110 is 5-9, inclusive. The lightness L * 15 is the lightness based on the spectral reflectance obtained by receiving light I45 irradiated from an angle of 45 degrees to the surface of the multilayer coating film at an angle of 15 degrees with respect to regular reflection light, and the lightness L * 110 is the lightness based on the spectral reflectance obtained by receiving the light I45 at an angle of 110 degrees with respect to regular reflection light; the ratio (C * 15 / C * 110) of the chroma C * 15, which is the chroma in an L * C * h color system based on the spectral reflectance obtained by receiving the light I45 at an angle of 15 degrees with respect to the regular reflection light, to the chroma C * 110, which is the chroma in the L * C * h color system based on the spectral reflectance obtained by receiving the light I45 at an angle of 110 degrees with respect to the regular reflection light, is from 8 to 12 (inclusive).

The invention discloses an m-toluidine compound, a preparation method thereof and application of the m-toluidine compound in a thermosensitive color developing agent, and relates to the technical field of color developing agents. The invention discloses a m-toluidine compound which is # imgabs0 #. Compared with a contrast product, the thermosensitive color developing agent prepared by the invention has the advantages that the overall activation temperature is reduced, the color developing reaction is easier to trigger, the color developing temperature range is widened, and the differential requirements of more different application scenes on the temperature can be met. The temperature-sensitive color developing agent prepared from the m-toluidine compound has higher color developing contrast and more obvious color depth in color developing effect, can present clearer and brighter color developing result, and is beneficial to improving the visual effect of a temperature-sensitive color developing technology in scenes such as temperature-sensitive printing and the like.

The present application relates to a method for enhancing display effects by dynamically regulating voltage differences, comprising: constructing a mathematical model of biological morphology changing over time, wherein the mathematical model introduces random variables to characterize individual differences in biological organisms; obtaining pixel data of a display sequence based on the resolution, color depth, and refresh rate parameters of a display device, and dynamically adjusting the accuracy of the mathematical model and the parameters of the encoding strategy; processing the received display sequence through a visual characteristic model, and decoding and recovering hidden information in the display sequence based on a pixel brightness change sequence and a predefined nonlinear mapping relationship; employing a filtering algorithm to process different interference factors; and employing an integrity verification algorithm for the extracted hidden information. If information is found to be missing or erroneous, the information is recovered and reconstructed based on redundant information and error correction coding.

This application discloses a method for driving a display panel and a display panel. The method includes the following steps: inputting a first scan voltage to turn on the thin-film transistors of a first sub-pixel and a second sub-pixel, and charging the first sub-pixel and the second sub-pixel with a first data voltage; inputting a second scan voltage to keep the thin-film transistor of the first sub-pixel turned on and turn off the thin-film transistor of the second sub-pixel, and continuing to charge the first sub-pixel with the second data voltage; and inputting a third scan voltage to turn off the thin-film transistor of the first sub-pixel. The value of the first scan voltage is different from the value of the second scan voltage, and the values ​​of the first scan voltage and the second scan voltage are both greater than the value of the third scan voltage. This application uses different scan voltages and data voltages to drive and charge two sub-pixels within a sub-pixel. By synthesizing the grayscale of the two sub-pixels, color depth is improved, reducing the cost of using high-color-depth chips.

The invention relates to the field of LED display, and discloses a color depth extension method and device of an LED display screen, electronic equipment and a storage medium. The method comprises: acquiring an image; performing frequency multiplication on the image to obtain an image after frequency multiplication; processing the image after frequency multiplication, and determining an integer part and a decimal part; determining an offset according to the integer part and the decimal part; and determining the displayed image data based on the offset, thereby increasing the image color depth and ensuring that the image color is lossless.

A video generation method is provided. After a source image is acquired by an electronic device, sketch images of different stages in a process of simulating a painter to draw a target sketch are generated based on the source image in an order of color from light to dark, and a plurality of subgraphs in the process of simulating the painter to draw the sketch image are generated in an order of drawing completion degrees from low to high. Then, respective subgraphs of respective sketch images in the plurality of sketch images are taken as video frames of a sketch drawing video, an order of the video frames is set according to the order of color depth from light to dark and the order of drawing completion degrees from low to high.