877 results about "Color matching" patented technology

The invention relates to the field of intelligent interactive design, and particularly discloses a visual intelligent interactive design system which comprises a three-dimensional structure design module, an intelligent color matching module, a visual rendering module and an interactive feedback analysis module. The three-dimensional structure design module can process imported or custom a three-dimensional model, detect and repair topology errors and construct a three-dimensional scene basic framework; the intelligent color matching module generates a color matching scheme based on the instruction, a rule base or user preference and displays a comparison view; the visual rendering module renders a three-dimensional scene in real time, collects rendering pipeline load parameters and quality indexes, and analyzes balance points to adjust rendering parameters; and the interaction feedback analysis module records interaction data, marks over-limit nodes by comparing a standard and analyzes a root cause. According to the system, efficient three-dimensional scene construction, intelligent color matching, rendering optimization and interaction experience improvement are realized through multi-module cooperation, and the system is suitable for multi-field scenes needing visual intelligent interaction design.

The invention provides an efficient and accurate frequency modulation screen printing color management color matching auxiliary system which comprises a collector, the collector comprises an image collection module, the image collection module can capture a multi-channel filter array of a printing manuscript through a multispectral imaging device, and an analyzer comprises a spectral analysis module and a color matching prediction module. The spectral analysis module is in communication connection with the image acquisition module, after low-dimensional feature vectors are generated, candidate schemes are listed, and the color matching prediction module predicts an ink matching scheme based on the low-dimensional feature vectors and a deep convolutional neural network; relates to the technical field of frequency modulation screen printing toning. According to the method, the limitation of traditional single-factor color matching is broken through by introducing a multi-modal data fusion (spectrum + base material + ambient light) and Bayesian optimization feedback mechanism, the nonlinear mapping problem of high-dimensional spectral data is solved through cooperation of manifold learning dimension reduction and deep neural network prediction, and efficient and accurate frequency modulation network color matching adjustment is realized.

The invention discloses a thematic charting processing method and system based on online data, and the method comprises the steps: carrying out the standardization processing of original data through a pre-established data processing flow, segmenting the original data into tile data, storing the tile data in a distributed storage system, and constructing a structured tile data set. And according to the structured tile data set, performing rendering processing by applying a color matching scheme, and generating a map service interface to provide a dynamic map data stream. The data is loaded to a browser end drawing environment through the map service interface, an initial drawing project file containing a drawing layout is generated, and the drawing layout comprises at least one map frame. And adding map element data into the initial cartographic engineering file and adjusting the position so as to update the cartographic engineering file. Therefore, according to the thematic charting processing method based on the online data, the data processing efficiency is improved, the cooperation threshold is reduced, and dynamic sharing is achieved.

The invention relates to the technical field of image processing, in particular to an AI-based graphic design optimization system, which comprises an information entropy distribution evaluation module, an information entropy distribution evaluation module, an information entropy evaluation module, an information entropy evaluation module, a feature evaluation module, a feature evaluation module, a feature evaluation module and a feature evaluation module, wherein the information entropy distribution evaluation module acquires information of each element in a design graph, calculates information entropy of a feature item of each element to acquire an information entropy value of the feature and judges visual importance difference among the elements; and sorting the elements according to information importance, and generating an importance sequence of the design elements. According to the method, the feature information of each element in the design graph is analyzed, the visual importance of the elements is measured by the information entropy, and the size, the position, the color and the like of the element information are quantified and sorted, so that the design element layout is ensured to have a clear visual level. Therefore, the priority of each design element is clearer, and the user can pay attention to the important elements first in the design work. Through harmony of color features such as hue, brightness, saturation and the like, optimized color matching is calculated, and the visual harmony of the design is improved.

The invention relates to the technical field of computer vision, and discloses a vehicle paint make-up color matching method based on computer vision, and the method comprises the steps: collecting a vehicle paint image in real time through an industrial camera, constructing a multi-dimensional color feature extraction system after preprocessing, and building a color feature database through a color space conversion technology; and positioning a target color card by combining a feature matching algorithm. Meanwhile, a historical paint make-up case information base is constructed, a multi-factor weight distribution model is established, an optimal matching scheme is solved by adopting an improved particle swarm optimization algorithm, and finally a result is output through an interactive verification platform and tracked and fed back. According to the method, multiple factors are comprehensively considered, the precision and efficiency of color matching are improved, and the method is suitable for paint make-up color matching of vehicles of different vehicle types, years and paint surface types and has high practicability and popularization value.

Embodiments of a deadfront configured to hide a display when the display is not active are provided. The deadfront includes a substrate having a first major surface and a second major surface. The second major surface is opposite the first major surface. The deadfront also includes a neutral density filter disposed on the second major surface of the transparent substrate and an ink layer disposed on the neutral density filter. The deadfront defines at least one display region in which the deadfront transmits at least 60% of incident light and at least one non-display region in which the deadfront transmits at most 5% of incident light. A contrast sensitivity between each of the at least one display region and each of the at least one non-display region is at least 15 when the display is not active.

The invention relates to a water color image simulation and evaluation method based on an atmosphere-ocean coupling vector radiation transmission model, and the method comprises the following steps: inputting atmospheric optics and ocean environment parameters obtained based on a target water area into an OSOAA radiation transmission model, and calculating a remote sensing reflectivity spectrum of the target water area; the remote sensing reflectivity spectrum obtained through calculation of the OSOAA model serves as input, and the remote sensing reflectivity spectrum is converted into an RGB value through a CIE color matching function; meanwhile, a remote sensing reflectivity spectrum obtained by the OSOAA model is converted into a Forel-Ule index through an FUME algorithm, and the Forel-Ule index is used for comparing RGB images and evaluating water color characteristics of a research area; all the obtained RGB values are converted into single-point colors, and a visual spatial dimension water color simulation image of the target water area is generated through the geographic position information. According to the method, natural water area water body image simulation is established based on the radiation transfer principle, the water color is evaluated, a scientific basis is provided for prevention and control of eutrophication of the water body, and the method has popularization and application prospects.

The invention relates to the technical field of data processing, and discloses a method for automatically generating a patchwork pattern based on an intelligent algorithm, and the method comprises the following steps: S1, user demand analysis: collecting and analyzing design demands, including color preference, style requirements, pattern complexity and other parameters, input by a user; s2, preparing a patchwork element data constructing the patchwork element database, wherein the patchwork element database comprises geometrical shapes, textures, color matching schemes and historical design cases; s3, generating a patchwork pattern: adopting a GAN deep learning model to generate a candidate patchwork pattern; s4, optimizing the pattern of the patchwork: optimizing and generating the pattern in combination with reinforcement learning; s5, performing image segmentation and optimization algorithm: through the image segmentation and optimization algorithm, ensuring seamless connection when the cloth splicing blocks are spliced, and adapting to actual cloth processing requirements; s6, editing a patchwork design scheme: generating a patchwork design scheme in an editable format for a user to preview and modify; and S7, outputting the patchwork pattern: outputting the final patchwork pattern.

The invention relates to the technical field of printing, and discloses a printing parameter optimization-based printing quality improvement method, which comprises the following steps of: constructing a multi-dimensional color characteristic model through spectral data; collecting illumination conditions and related parameters of an observation environment in real time through a spectrum sensor, and generating an environment parameter data set; establishing an observer personalized visual perception model through a color matching experiment, wherein the personalized visual perception model maps the physical stimulation into perception response; dynamically adjusting printing parameters based on the multi-dimensional color characteristic model, the environmental parameter data set and the personalized visual perception model; according to the method, printing output is monitored in real time and printing parameters are corrected in the printing process to minimize perceptual printing differences, so that environmental factors and individual visual perceptual differences can be comprehensively considered, the printing parameters can be optimized in real time, and the printing quality and the color rendition precision are improved.

The invention discloses a dairy cow feeding area feed intake estimation system based on computer vision, and belongs to the technical field of dairy cow feeding area feed intake estimation. The invention aims to solve the problems that the existing feed intake estimation of a dairy cow feeding area cannot meet the actual demand of a pasture and the estimation is inaccurate. The system comprises a data acquisition module used for acquiring RGB images of a feed area before and after feeding a dairy cow, and a feed area segmentation module used for processing and identifying the RGB images by using an image segmentation model and extracting a mask image of the feed area; the data processing module is used for respectively carrying out color matching on the corresponding mask images before and after feeding the dairy cow, acquiring RGB (Red, Green and Blue) images of mask image areas and further acquiring difference images, and the total feed intake estimation module is used for carrying out total feed intake estimation on the acquired difference images by adopting a total feed intake estimation model.

The embodiment of the invention provides a video processing method and device, electronic equipment and a storage medium. The method comprises the following steps: displaying a color adjustment control and a video clip in a video editing draft in a video editing interface; in response to a trigger operation on the color adjustment control, displaying a color matching functional area in the video editing interface; wherein the color matching function area comprises a template material adding control; in response to an adding operation on the template material adding control, acquiring an image template material corresponding to the adding operation; according to the image template material, performing replacement operation on the selected video clip in the video editing draft, and displaying the replaced color matching video clip in the video editing interface; wherein the color matching represents that the video color information corresponding to the color matching video clip is the same as the template color information. According to the embodiment of the invention, the operation complexity and the use difficulty of color adjustment are reduced, and the video editing efficiency is improved.

The invention discloses an intelligent auxiliary drawing system and method based on AR, and the system combines an augmented reality technology and a real drawing environment, and provides real-time creation feedback and guidance for a user through a visual interaction module, an auditory interaction module, a touch interaction module and a real-time tutoring module. A user can create in a real drawing environment, and the AR technology displays virtual creation suggestions and auxiliary information (such as stroke demonstration, color matching suggestions, composition guidance and the like) to perform real-time superposition with the actual creation process of the user. And the AI analysis module provides personalized tutoring suggestions according to the drawing progress of the user, and enhances the learning experience through multi-sensory feedback. The system not only provides accurate art creation guidance, but also effectively improves the creation expressive force of the user and the efficiency of art learning.

The invention relates to the technical field of tire detection, in particular to a method for identifying abnormal vibration of a tire through color difference of an automobile tire tread, which comprises the following steps: generating a point cloud picture; generating a first tire surface height point cloud picture at the first rotating speed; generating a first visual point cloud picture and determining an abnormal vibration level; dividing detection intervals, wherein n detection point sets are configured in each detection interval; generating a second tire surface height point cloud picture at a second rotating speed; reducing the rotating speed of the tire at a preset rate, calculating a stability score, and judging whether the stability of the detection device meets requirements or not; and in response to the satisfaction, rendering the tire surface to generate a second visual point cloud picture, and determining an abnormal vibration level. According to the method, the height difference of the tire surface height at each detection point position is calculated, and the tire surface is rendered according to the height difference and the preset color matching mechanism, so that the vibration condition caused by the tire surface height can be intuitively and visually displayed.

The invention relates to the technical field of aluminum decorative strip coating, and discloses an aluminum decorative strip color coating optimization system based on automatic control, which comprises a material pretreatment layer, a coating control layer and a quality detection layer. The material pretreatment layer is used for treating the surface of the aluminum decorative strip through surface cleaning, base material activation, roughness detection and adhesive force test; the coating control layer realizes coating control by utilizing a color blending unit, a spraying robot cluster, a dynamic temperature control module and a distributed controller in combination with a real-time color matching algorithm and a self-adaptive path planning mechanism; and the quality detection layer adopts an image analysis technology and a deep learning algorithm to construct a coating quality feature model, and color difference detection, defect positioning and process parameter compensation decision are realized. According to the system, automation, precision and intellectualization of the aluminum decoration strip coating process are achieved, the coating quality and the production efficiency are improved, and the system is suitable for the field of aluminum decoration strip color coating.

The invention provides a theme color matching generation method and device, electronic equipment and a storage medium, and relates to the technical field of image processing, in particular to the fields of large models, webpage design, natural language processing and the like. According to the specific implementation scheme, first color matching demand information of a theme is obtained; calling a large model, and outputting a target color value by the large model according to the first color matching demand information; and determining a target color matching strategy of the theme according to the target color value.

Systems and methods for a sample database are provided, where the sample database is for matching a target coating. In one embodiment, the system comprises a sample database stored on a storage device. The sample database includes a sample coating formula and a sample image feature with at least one sample coating formula linked to at least one sample image feature. At least one sample image feature includes a spatial micro-color analysis that includes a value determined by a sample pixel feature difference between at least two sample pixels.

The invention provides a digital pathological section color calibration method and device, and the method comprises the following steps: obtaining a standard color image and an image to be subjected to color correction, and extracting the feature points of the standard color image and the feature points of the image to be subjected to color correction, matching the standard color image and the image to be subjected to color correction based on the feature points to obtain a standard color matching image and a matching image to be subjected to color correction; performing histogram color correction on the matching image to be subjected to color correction by taking a standard color matching image as a reference to obtain a first color correction image, and performing CCM color correction on the first color correction image by taking the standard color matching image as the reference to obtain a second color correction image, and performing gamma correction on the color of the second color correction image by taking a standard color matching image as a reference to obtain a color correction completed image. According to the scheme, all pixel information of the target image is fully utilized, the color correction process is quantified to eliminate artificial errors, and the efficiency and accuracy of color correction of the digital pathological image can be remarkably improved.

The invention relates to the technical field of building maintenance scheme optimization, and discloses a building maintenance scheme optimization method based on an intelligent algorithm, and the method specifically comprises the following steps: 1, interface optimization: after starting MATLAB software, loading a source code of building quality diagnosis system software named as a building doctor, and in a design view interface of the software, carrying out interface optimization on the source code of the building quality diagnosis system software; according to the method, the user interface of the software is ensured to be clearly viewed, then a'optimization 'button in the interface is optimized and adjusted, a'help' menu is newly added in the software interface, and visual elements such as the graphic size and color matching of the user interface are finely optimized and adjusted, so that the functionality of the software is enriched, and the user interface is more vivid. In addition, the friendliness and usability of the user interface are remarkably improved, smoother and more comfortable use experience is brought to the user, the visual and clear user interface is elaborately designed, and it is ensured that the user can easily understand and operate the platform and detect the particularity of the building.

The invention relates to the technical field of building design, in particular to an ancient building visual color matching method, which comprises the following steps of: 1, acquiring multi-source data; step 2, color feature extraction; 3, constructing a historical color knowledge base; step 4, constructing a color matching model; and step 5, performing three-dimensional visual rendering. According to the historic building visual color matching method, qualitative analysis of'regional culture-natural environment 'is converted into quantitative collection of multispectral images and three-dimensional point clouds, and spatial accurate positioning of color features is achieved; a standardized knowledge base containing historical periods and technologies is constructed, and the fragmentation problem of traditional color matching experience is solved; through physical realistic rendering, the method is expanded to color simulation of the ancient building under different climate conditions, and the recovery credibility is improved.

The invention relates to the technical field of clothing color matching, in particular to an intelligent recommendation method for clothing color matching, which comprises the following steps: S1, constructing a multi-modal user data intelligent acquisition feature project; s2, deep learning of clothing color semantic feature analysis; and S3, intelligently constructing and optimizing the personalized recommendation model. Multi-source data of a user is acquired in real time through a multi-modal data acquisition engine, feature extraction and engineering construction are performed by using a deep learning technology, a complete user portrait is formed, garment color features are analyzed by using an advanced image processing technology and a deep learning model, a color semantic network is constructed, a fashion trend is captured, and a user experience is improved. A mixed recommendation model based on a graph neural network and Transform is designed, distributed training is achieved through federated learning, a personalized recommendation result is generated in combination with a multi-objective optimization algorithm, a recommendation strategy is continuously optimized through reinforcement learning and an online feedback mechanism, and system security and user privacy protection are ensured by adopting a zero-trust architecture.

The invention provides an immersive naked-eye 3D visual impact display system with enhanced double-screen dynamic parallax, and relates to the technical field of 3D display, and the system provides a wide-angle and highly-vivid 3D visual effect for a user without wearing auxiliary equipment through a unique double-screen architecture design in combination with an advanced dynamic parallax control technology. The core of the system is a dynamic parallax adjustment algorithm, the dynamic parallax adjustment algorithm can track the sight line and head position changes of a user in real time, 3D image parallax on a screen is intelligently adjusted, and it is ensured that the user can obtain consistent and stable stereoscopic visual experience at different angles and positions. Besides, the system adopts a high-precision 3D modeling and rendering technology and is combined with a transparent OLED display screen, so that the sense of reality and the visual impact of the 3D model are further enhanced. Through color matching and texture mapping algorithms, the system also realizes seamless fusion between the foreground and the background, so that the whole picture is more natural and harmonious.

The invention provides a color master barrel conveying device, color matching equipment and a color matching system, and belongs to the technical field of automatic blending of automobile refinishing paint. The device comprises a guide rail; the driving wheel set is provided with a rotating shaft; the conveying part is arranged on the driving wheel set in a sleeving manner; the color master barrel mounting part is fixed on the conveying part; the wheel set driving part comprises a driving motor main body and a driving motor output shaft; the clutch assembly is used for separating and connecting the driving wheel set and the wheel set driving part and comprises a clutch motor and a clutch main body which are connected with each other; the clutch motor drives the clutch body to move in the vertical direction, when the clutch body moves to a first position, the output shaft of the driving motor is in transmission connection with the rotating shaft through the clutch body, the driving wheel set is driven by the driving motor body to rotate, and when the clutch body moves to a second position, the driving wheel set is driven to rotate. The clutch body is disconnected with the output shaft of the driving motor and / or the rotating shaft.

The invention provides an implementation method, device and system based on image color extraction and migration and a medium, and the method comprises the steps: obtaining material images with the same theme, and carrying out the preprocessing of the material images, and obtaining a color matching scheme; extracting a typical color ratio of the target image through an algorithm; generating a plurality of color matching scheme diagrams according to the color matching schemes and the typical color proportions; acquiring color features of the plurality of color scheme images, and migrating the plurality of color features to the target image to form a plurality of color feature images; and selecting a qualified color feature image according to the color quality index. According to the invention, the typical color distribution of the target image is acquired to carry out color migration, and then the color feature image meeting the standard is selected, so that the original color features of the target image are reserved, and the consistency of the color style of the product is ensured.

A method of controlling a color of a light provided by a light fixture includes obtaining measured color values of first lights and measured color values of second lights. The method includes determining a resultant color of a first light beam at least based on the measured color values of the first lights and determining a resultant color of a second light beam at least based on the measured color values of the second lights. The method includes controlling first power provided to LEDs of a first LED-optics cluster and second power provided to LEDs of a second LED-optics cluster at least based on the resultant color of the first light beam and the resultant color of the second light beam such that a color of a combined light that is a combination the first light beam and the second light beam has a color matching target color, wherein the relative contributions of individual lights of the first lights to the first light beam are determined based on a value of a target beam angle of the combined light and wherein the relative contributions of individual lights of the second lights to the second light beam are determined based on the value of the target beam angle of the combined light.

The invention relates to the technical field of color modeling, in particular to a color allocation method and system based on an Oussi color three-dimensional gridding model. According to the method, the color samples are converted into the three-dimensional coordinates, RGB information and a color space conversion formula are combined, accurate positioning of the three-dimensional color grids is achieved, and reliable data are provided for color matching and process optimization; according to the method, the experimental data is modeled through the multi-task learning model, the chromatic aberration and the color fastness are optimized at the same time, so that accurate control over color blending is achieved, the joint loss function and the dynamic weight distribution mechanism are introduced at the same time, the performance and adaptability of the model are further improved, and the optimization process is more efficient and stable. Besides, the particle swarm optimization algorithm is adopted to optimize the process parameter combination, the individual optimal position and the global optimal position of particles are dynamically updated, it is ensured that the optimal parameter combination is rapidly converged in multiple iterations, and finally more accurate color allocation and more efficient process efficiency are achieved.

The utility model provides a color master barrel righting and positioning device and color matching equipment, and belongs to the technical field of batching equipment. The color master barrel righting and positioning device is applied to color mixing equipment and comprises a righting gripper assembly, a color master barrel righting and positioning assembly and a color master barrel righting and positioning assembly, the righting gripper assembly comprises a side wall and a gripper part fixed to the side wall, and a slope angle opening is formed in the end, away from the side wall, of the gripper part; the driving part is connected with the side wall and used for driving the side wall to stretch out and retract in the first direction, and when the side wall stretches out, the grabbing part abuts against a handle of a color master barrel located at the color master barrel in-place position on the color mixing equipment. And the color master barrel is straightened to a preset liquid outlet position under the limitation of a space formed by the slope angle opening. The color master barrel can be accurately straightened to the preset liquid outlet position under the condition that the stopping precision of the color master barrel is insufficient.

The invention provides an oral ceramic restoration optical prediction matching method and system based on deep learning, relates to the technical field of oral medicine, and solves the limitation problems that existing oral restoration is low in clinical colorimetric accuracy, depends on artificial experience, has medical technology communication information deviation and the like. The method comprises the following steps: acquiring spectral data of natural teeth, dentin, enamel and different types of ceramics, and calibrating the semi-permeability of enamel and ceramic samples by using an extinction coefficient; obtaining a ceramic-dentin complex and composite spectrum data thereof, constructing a multi-layer sensor model and completing training; and splicing the dentin spectral data and the ceramic spectral data into an initial input vector, splicing the initial input vector with the calibrated semi-permeable constraint vector, and inputting the spliced initial input vector into a multi-layer sensor model to obtain a model matching result. The intelligent model for automatically generating the natural tooth defect repair scheme is established based on the deep learning technology, the intelligent repair design and the visual repair effect are achieved, and clinical application is effectively guided.

The invention provides a rendering method and device and a computer program product, and the method comprises the steps: at least taking a streamer starting point color and a streamer tail point color as streamer rendering parameters for independent configuration, enabling a streamer texture image not to be provided with a fixed color, and only setting the transparency value of a pixel point. The method comprises the following steps: for vertexes of a triangle obtained by performing triangle subdivision based on track points included in to-be-rendered track data, obtaining texture coordinates of the corresponding vertexes of the triangle through a streamer rendering parameter, a track distance associated with the vertexes of the triangle and a rendering time parameter; sampling on a streamer texture image with a known transparency value based on texture coordinates of vertexes of the triangle to obtain color shift weights of the corresponding vertexes of the triangle, and obtaining rendering colors of the corresponding vertexes of the triangle by using the color shift weights, a streamer starting point color and a streamer tail point color; even if the streamer texture image has no fixed color matching, the rendering color of the corresponding vertex of the triangle can be calculated.

The invention relates to the technical field of waste paper detection, in particular to an AI-based waste paper whole-process detection method and system, which comprises the following steps: collecting image side line extension angle statistics color matching identification, coding direction sequence comparison identification offset, positioning an infrared adjustment frequency generation instruction, and correlating serial number contrast data to generate a linked list. And extracting a difference value to judge that the overrun output is abnormal. According to the method, in image processing, abnormal paper parcels are compositely recognized through sideline interruption, break angle errors and color strip density, a multi-dimensional judgment mechanism is constructed in combination with source codes, in path tracking, a direction sequence is adopted to recognize an offset trend, infrared monitoring frequency is dynamically adjusted, and a high-risk area is focused; in the detection link, quality and moisture data are connected in series through paper package numbers, a time sequence contrast linked list is constructed, and potential deviations are screened by fusing difference floating and trend cross validation, so that anomaly identification precision, monitoring response rapidness and data tracking closed loop are realized.

The utility model discloses a multifunctional palette clamp, and belongs to the field of painting tools. The drawing board clamp mainly comprises a drawing board clamp body, a fixing clamp is arranged on the end face of one side of the drawing board clamp body, the fixing clamp is detachably connected with the drawing board clamp body through a connecting mechanism, and the first clamping side of the drawing board clamp body and the second clamping side of the fixing clamp are arranged in a staggered mode; the connecting mechanism comprises a sliding groove and a fixing sliding block which are matched with each other, the fixing sliding block is fixedly connected with the fixing clamp, and the sliding groove is formed in the drawing board clamp. The drawing board clamp is high in universality, the matched end faces of the drawing board clamp and the fixing clamp are inclined faces, so that a certain infolding angle is automatically formed after the drawing board clamp and the fixing clamp are combined, the drawing board clamp is more in line with the hand raising habit and the viewing angle observing habit of students during color mixing, and use is more convenient. The color matching paperboard fixing device is mainly used for fixing the color matching paperboard during drawing.