109 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 defect detection, in particular to a die-casting die defect detection method and system based on image recognition, and the method comprises the following steps: irradiating the surface of a die-casting die by using a target wavelength light source, capturing a die surface image by using a camera, and carrying out the color correction and illumination compensation of the captured die surface image, and storing the output high-definition original image. According to the method, the color depth and the contrast ratio of the high-definition original image are adjusted, so that the highlighted display of defect features is greatly improved, the recognizability of surface defects such as cracks and air holes is enhanced, the detection accuracy is improved, detail revelation and defect contour recognition are carried out, and the separation of a defect area and a background is further accurate; the accuracy and efficiency of analysis are optimized, accurate quantification of the shape and size of the defect is achieved through gray level analysis, quantitative data are provided for defect management and die maintenance, the service life of the die-casting die is comprehensively prolonged, and the production problem caused by the defect is relieved.

The embodiment of the invention provides a target grabbing point data generation method, device and equipment and a humanoid robot, and belongs to the technical field of target detection. The method comprises the following steps: acquiring a color image and a depth image of a target object shot by shooting equipment in real time; performing alignment correction processing according to the color image and the depth image to obtain a pseudo-color depth map; inputting the pseudo-color depth map into a pre-training deep learning segmentation model for detection segmentation processing to obtain a target segmentation mask map of the target object; performing centroid extraction processing according to the target segmentation mask pattern, and determining centroid coordinates of a target object; and performing depth correction processing according to the target object mass center coordinate, the pseudo-color depth map and a preset internal reference matrix to obtain a target three-dimensional coordinate, and determining the target three-dimensional coordinate as target grabbing point data. The method is used for achieving the effect of improving the accuracy of the captured point data obtained in a complex dynamic scene.

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.

The invention discloses a three-primary-color depth image saliency detection system. The system comprises a feature encoder, an attention enhancement module, a cross-modal feature fusion module and a cascade correction decoder. The feature encoder is used for extracting original multi-level features of color and depth from the three-primary-color depth image; the attention enhancement module is used for enhancing the original multi-level features and carrying out space alignment processing and channel recalibration processing on the enhanced depth features; the cross-modal feature fusion module is used for performing multi-scale feature fusion processing on the depth features after space alignment and channel recalibration and the enhanced color features to obtain corresponding multi-scale fusion features; and the cascade correction decoder is used for taking the multi-scale fusion feature as a new multi-level feature of the three-primary color depth image, and decoding to generate a corresponding saliency map. The method has higher recognition and segmentation precision.

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 discloses a robot control method and device, a robot, electronic equipment and a storage medium, and belongs to the technical field of artificial intelligence. The robot control method comprises the steps that a first color depth image of a target scene at the current moment and execution action information of a robot are acquired; inputting the first color depth image and the execution action information into a dynamic prediction module of a target world model, and obtaining a prediction scene flow of the target scene at the next moment output by the dynamic prediction module; and inputting the predicted scene flow and the first color depth image into a diffusion module of the target world model to obtain a second color depth image of the target scene at the next moment output by the diffusion module. The method can effectively predict the object motion trail and the environment state change rule, controls the robot according to the prediction result, improves the accuracy and response speed of the robot control strategy, and enhances the reliability of the robot in a complex scene.

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 technical field of vehicle-mounted display screens, and discloses a low-power-consumption control method for a vehicle-mounted display screen, which comprises a control module, an environment perception and dynamic adjustment module, an energy recovery and reutilization module, a content optimization and compression module, an intelligent dormancy and wake-up preheating module, a power management unit and a display screen module. The content optimization and compression module intelligently analyzes the display content through the image processing and machine learning technology, dynamically adjusts the resolution and the color depth according to the importance and complexity of the content, and adopts an efficient encoding mode to compress pictures and videos, so that the energy consumption of data transmission and display is reduced, and the data transmission efficiency is improved. According to the invention, comprehensive intelligent management of the vehicle-mounted display screen and related hardware is realized, the energy consumption is effectively reduced, the energy utilization efficiency is improved, the visual comfort of a driver and the system response speed are ensured, and powerful support is provided for green and efficient operation of the vehicle-mounted display system.

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.

An embodiment of the present application provides a method, device, equipment and humanoid robot for generating target grasping point data, belonging to the technical field of target detection. The method includes: obtaining in real time a color image and a depth image of a target object captured by a photographing device; performing alignment and correction processing on the color image and the depth image to obtain a pseudo-color depth map; inputting the pseudo-color depth map into a pre-trained deep learning segmentation model for detection and segmentation processing to obtain a target segmentation mask map of the target object; performing centroid extraction processing on the target segmentation mask map to determine the centroid coordinates of the target object; performing depth correction processing on the basis of the centroid coordinates of the target object, the pseudo-color depth map and a preset internal parameter matrix to obtain target three-dimensional coordinates, and determining the target three-dimensional coordinates as target grasping point data. This method is used to achieve the effect of improving the accuracy of the grasping point data obtained in a complex dynamic scene.

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 discloses a medical instrument disinfection dosage control method and system, and belongs to the technical field of medical instrument disinfection dosage control. According to the method, image data are collected, the instrument type is determined according to instrument contour feature points, the pollutant type and pollutant concentration of the medical instrument are determined by extracting color depth features and color features, and the optimal disinfectant combination is determined through a particle swarm algorithm; by training the disinfection dosage evaluation model, the optimal disinfection dosage evaluation model is determined, so that the disinfection dosage of the medical instrument can be accurately controlled. According to the method, the characteristics in the image data are extracted, the disinfection information required by the medical instrument is accurately represented, the disinfection dosage of the medical instrument is efficiently and accurately obtained through the trained disinfection dosage evaluation model, it is ensured that the medical instrument can be accurately disinfected, low efficiency and insufficient accuracy caused by manual disinfection are avoided, and the medical instrument disinfection efficiency is improved. The disinfection safety and efficiency of the medical instruments are 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 display method and device in a game, electronic equipment and a readable storage medium, and relates to the technical field of computers. The method comprises the steps of 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 the first hollow part based on the first model; performing second vertex expansion on the model to obtain a second model; generating color data of the second hollow part based on a second model; performing third vertex expansion on the model to obtain a third model; generating color data of the first stroked part based on a third model; performing fourth vertex expansion on the model to obtain a fourth model; generating color data of the second stroked part based on a fourth model; and 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 stroking part and the color data of the second stroking part, displaying the model with the hollow ink stroking effect.

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 utility model discloses a color-changing leather IC (integrated circuit) card, which comprises two color-changing leather layers which are oppositely arranged, and a supporting layer and an electronic tag layer which are positioned between the two color-changing leather layers, under the triggering condition, the color-changing leather layer can be changed into a second color from a first color; the surface of the color-changing leather layer is coated with a first color developing layer, the depth of the first color is greater than the color depth of the first color developing layer, and the first color developing layer can be covered by the first color; the color of the first color developing layer and the second color have color difference, and when the surface is in the second color, the first color developing layer develops color. According to the utility model, the color of the surface layer is changed between the first color and the second color due to the triggering condition, so that the pattern on the first color developing layer is changed between macroscopic and invisible, the visual effect and the aesthetic degree of the card are improved, and the card has certain playability.

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.

A method for controlling active matrix displays in an inexpensive manner, in particular with a highly flexible color diversity, includes running a program stored in a program storage device of a microcontroller. The program actuates a DMA controller to read image data of the color depth of 1 bit per pixel from a data storage device, and transmits via the DMA controller an RGB image data set generated by the program therefrom to a hardware SPI connected to the DMA controller. The hardware SPI transmits the RGB image data set to the active matrix display in a serial manner via the data output thereof, wherein in order to synchronize the data transmission to the active matrix display, the SPI clock output controls the pixel clock input of the active matrix display.

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.