357 results about "Color data" patented technology

The invention relates to a computer vision technology, and discloses a laying hen health condition monitoring method and system based on a cockscomb form, and the method comprises the steps: collecting laying hen cockscomb images according to a preset time interval, and forming an image sequence; and carrying out gravity center identification on each image in the sequence, obtaining gravity center sequence data and analyzing gravity center offset. If the center-of-gravity offset exceeds a preset threshold value, color identification is directly carried out on the current image to obtain color data, and if the center-of-gravity offset does not exceed the preset threshold value, the form variation of the cockscomb edge area in the image sequence is analyzed. When the form variation is greater than a preset threshold value, judging that the laying hen is healthy; and if not, returning to execute the color identification step. And finally, performing disease judgment according to the color data to obtain a judgment result. The laying hen health condition monitoring efficiency can be improved.

This invention provides a method and system for inspecting wall decoration, relating to the field of building inspection technology. The method includes acquiring wall decoration data using a laser level and camera equipment, the data including height, level, and image information; sending the data to a wall flatness model for flatness calculation to obtain flatness error data; performing edge calculation based on the flatness error data and decoration data to obtain crack data, including location and shape information; analyzing the data using a data analysis model to obtain smoothness and color data; and finally, sending the flatness error data, crack data, smoothness, and color data to a qualification analysis model for analysis to obtain the wall decoration inspection result. This invention achieves a comprehensive assessment of wall decoration quality through the analysis and detection of multiple data sources, accurately determining whether a wall is qualified, and is characterized by high efficiency, accuracy, and a high degree of automation.

The invention discloses a GPU shader rendering computer implementation method of a finite element result. The method comprises the steps that a static three-dimensional grid is adopted as a rendering geometry; the 32-bit floating point type scalar data corresponding to the vertexes are subjected to lossless coding at a CPU end to obtain four-channel 8-bit RGBA vertex color attributes; during data updating, lightweight vertex color data are only transmitted to the GPU; hardware interpolation is carried out on the encoded color attributes by using a GPU rasterizer; and finally, in the fragment shader, decoding the interpolation result of each pixel to reconstruct a scalar value, and mapping the scalar value into a final color. According to the method, the bottleneck of topological calculation of a CPU end and transmission of massive geometric data to the GPU is avoided, the calculation load is transferred to the GPU in a large scale for parallel processing, the rendering efficiency is remarkably improved, and high-frame-rate dynamic visualization of a finite element result is realized.

The invention discloses an intelligent interaction method and system based on ink-jet printing color recommendation, and relates to the technical field of color management, and the method comprises the steps: obtaining brightness value data of a fabric image and a printing template image; quantifying the glossiness of the surface of the fabric based on the change of the lightness values among the fabric images; quantizing texture complexity of the fabric surface based on distribution of lightness values between pixel points on each fabric image; correcting the color data of the printing template image to obtain corrected target color data; calculating theoretical spectral reflectance corresponding to the mixed ink in different proportions to obtain predicted color data of the mixed ink; the predicted color with the minimum color difference with the target color is matched, and a corresponding optimal ink matching parameter is obtained; according to the method, the glossiness and texture complexity of the fabric are quantified, a traditional color prediction model is corrected, the problem of deviation between the real object color and the screen color can be solved, and high-precision prediction and recommendation of the ink-jet color are achieved.

The invention relates to the field of data analysis, in particular to a publication color adaptive optimization method based on printing color deviation, which comprises the following steps: identifying color data of a publication to extract color block distribution characteristics of the publication; evaluating a printing deviation interference characterization value of the publication based on the color block distribution characteristics in combination with a color number corresponding to a plurality of color blocks of the publication so as to mark the publication; according to the marking result, color printing of the publication is analyzed; according to the method, color data identification and feature extraction, printing deviation interference evaluation and marking, color fusion color block analysis, printing condition judgment and parameter adjustment are carried out on the publications, and then the color fusion color blocks meet the standard printing conditions or not according to the printing level characterization parameters, and the color printing of the corresponding publications is adjusted according to the color data identification and feature extraction, the printing deviation interference evaluation and marking, the color fusion color block analysis and the printing condition judgment and parameter adjustment. And on the premise of adapting to a complex color scene, the printing quality of the publication is precisely regulated and controlled, and the printing precision and the color rendition degree of the publication are improved.

The invention discloses a 3D printing method for realizing high color accuracy and real-time effect preview based on a pre-calculated material stacking scheme database, and belongs to the technical field of 3D printing. The core of the method is that a material stacking scheme database of the corresponding relation between printing result colors and material stacking schemes and printing effects is constructed in advance: after multiple basic semitransparent printing materials are arranged according to a specific rule, stacking printing is carried out through different sequences and combinations, and a physical color sample array is formed; after highlight interference is eliminated through a polaroid, color data of all samples are accurately collected, and a mapping relation is established between the color data and corresponding material stacking schemes and printing effects and stored in a database. When target color content is printed, the system queries the database through an efficient color matching algorithm, the optimal printing formula is rapidly obtained, meanwhile, the printing effect is accurately previewed through the real-time rendering technology, and the query efficiency of the algorithm is improved through the ordered arrangement structure of the database. And finally, the printer prints layer by layer according to the obtained stacking scheme, and a pattern effect with accurate colors is presented on the bottom surface of a finished product. According to the method, repeated calculation of a complex color model is avoided, and color printing which is high in color accuracy, low in cost, high in efficiency and compatible with various consumables is achieved through the experience database constructed at a time.

The invention relates to the technical field of novel ink, and provides a spot color separation method and system for ink recovery. The method comprises the following steps: acquiring an RGB image of a printing recovery product; pixel segmentation is carried out on the image, and color and coordinate data of pixels are marked; performing region clustering according to the color data to obtain a plurality of recovery regions; identifying coordinates of the recovery area, and controlling the recovery device to dissolve and separate the ink in the target area to obtain mixed ink; and constructing a spot color adjustment module, and blending the mixed ink with the ground color ink to obtain the spot color ink. The technical problems that in a traditional ink recycling technology, due to the fact that different color areas cannot be accurately separated, the recycled novel ink is low in purity and cannot be directly recycled are solved, high-precision color area segmentation is achieved through multi-stage clustering, local dissolution and a special hue and process are combined, and the efficiency is improved. And the purity of the recovered novel ink and the direct reuse rate of the novel ink are improved.

A method implements masked text processing for information processing with documents. The method involves receiving a document page as an image including text image data. The method further involves extracting text unit data and text location data from the image corresponding to the text image data using an optical character recognition (OCR) engine. The method further involves generating mask data for the text unit data with color data based on text type data. The method further involves producing a masked image by replacing the text image data with the mask data using the color data with the location data in the image. The method further involves transmitting the masked image to a machine learning model to execute a downstream task.

A human posture judgment method and a mobile machine using the method are applied to the technical field of human posture judgment. The posture of a human body is detected by the following steps: obtaining a ranging image by a ranging camera; detecting a plurality of key points in an estimated skeleton of a human body in color data of the ranging image, and calculating positions of the detected key points based on depth data of the ranging image; selecting a feature map from a group of predefined feature maps based on the detected key points in a group of predefined key points; obtaining two features of the human body corresponding to the selected feature map based on the positions of the detected key points; and determining the posture of the human body according to the two features in the selected feature map.

The invention relates to efficient color conversion using multiple lookup tables. Disclosed are systems and techniques for efficient color conversion. The techniques include receiving a first lookup table (LUT), a corresponding first range, a second LUT, and a corresponding second range. The first range is smaller than the second range. The techniques include receiving first color data of a first color space from a first computer system component. The techniques include, in response to determining that the first color data is within a first range corresponding to the first LUT, converting the first color data of the first color space to second color data of a second color space using the first LUT. The techniques include providing second color data of a second color space to a second computer system component.

The present invention discloses an automated debugging system for camera modules with adaptive parameter calibration, which relates to the field of camera debugging technology. The parameter calibration module sets physical parameter thresholds based on the specifications of the camera module, and then uses a calibration plate to calibrate the geometric and optical parameters to generate the boundary conditions of the camera module. The adaptive debugging module detects the environmental parameters of the shooting environment in real time and dynamically adjusts the imaging parameters of each camera. The multi-camera coordination module coordinates exposure across cameras and uses global white balance mapping to align curves according to the color temperature response curves of multiple cameras. Combined with a machine learning algorithm, the color data of multiple cameras is matched with color styles, and the camera parameters are adjusted when multiple cameras are switched. The debugging system adopts a layered debugging architecture combined with environmental adaptive optimization and cross-camera parameter coordination to achieve an automated, multi-camera collaborative high-precision parameter calibration process, thereby improving the consistency and stability of the camera module.

The application discloses a kind of spatial intelligence three-dimensional reconstruction method and system based on cross-scale topological consistency, it is related to spatial intelligence field, solve the problem that existing spatial intelligence three-dimensional reconstruction technology exists three-dimensional reconstruction effect is not good, including steps S1: acquisition area plan image is carried out to modeling region space marking, obtain modeling region plan image, to target modeling region preliminary creation three-dimensional model, obtain target region preliminary three-dimensional model, step S2: target region preliminary three-dimensional model is verified with target modeling region scene geometry topological, according to the topological element repair of target region preliminary three-dimensional model according to verification result, obtain target region repair three-dimensional model, step S3: according to the real-time color data of target modeling region corresponding to target region preliminary three-dimensional model is carried out real-time color restoration, obtain spatial region three-dimensional reconstruction model, the application improves the structural integrity and geometric accuracy of three-dimensional model under complex scene.

The application discloses a display device color self-adjusting system and method for a matching-free color analyzer, a measurement data picture on a panel of the color analyzer is acquired through a camera of an intelligent display device, and the intelligent display device parses measurement values from the panel picture through deep learning according to the picture; then, the recognized display parameter data is compared with standard color data, and the intelligent display device is controlled to modulate standard color data that does not meet the standard, and the production adjustment data is saved in the intelligent display device. The application is not affected by whether the color analyzer and the display device can be matched and connected, application scenarios are expanded, stability is improved, and research and development investment is saved.

To provide a printing system that can suppress a color of a medium from changing hue of an image, while suppressing white ink from being used.SOLUTION: A printing system comprises a discharge part that discharges color ink and white ink to a medium, and a control part that controls the discharge part. The printing system obtains image data, information on colors of the medium and information on a density of white ink. The control part calculates a masking ratio of the medium on the basis of the information on colors of the medium and the density of the while ink, calculates adhesion amounts of white ink that are necessary for masking the medium on the basis of the calculated masking ratio, reads out an image parameter describe below in the image data, performs threshold determination of the read image parameter, and adjusts the adhesion amounts of white ink on the basis of the determined result. One or more image parameters are selected from adhesion amounts of color ink and color data that can be measured with a measurement instrument.SELECTED DRAWING: Figure 1

The invention discloses a color development control method and a color development control system. The color development control method comprises the following steps: acquiring first color data; determining second color data according to the first color data; wherein the second color data belongs to a target color space, the target color space comprises four color primary colors, and the four color primary colors comprise red, blue, indigo and yellow; generating driving data according to the second color data; the color development module is driven to work based on the driving data, the color data corresponding to the target color space is adopted for color development, due to the fact that the indigo primary color is added, in the color gamut graph corresponding to the target color space, green areas are reduced, more blue areas are increased, red, yellow, green and blue areas are distributed more evenly, the color development richness can be remarkably improved, and the color development efficiency is improved. And resource waste is reduced.

This application discloses a skin detection system based on a neural network, belonging to the field of skin detection technology. The neural network-based skin detection system includes a color data acquisition module for acquiring color data of transplanted skin; a temperature data acquisition module for acquiring temperature data of transplanted skin; a blood flow data acquisition module for acquiring blood flow data of transplanted skin; and an analysis module, signal-connected to the color data acquisition module, temperature data acquisition module, and blood flow data acquisition module, for obtaining an activity index of the transplanted skin based on the color data, temperature data, and blood flow data. In the technical solution provided by this application, during skin monitoring, color data, temperature data, and blood flow data of the transplanted skin are collected separately and input into the analysis module. The analysis module integrates the above three sets of data to evaluate the overall condition of the transplanted skin, thereby obtaining the corresponding activity index.

The invention relates to an LCD (liquid crystal display) color enhancement method and related equipment, and the method comprises the following steps: collecting original color data of an LCD screen, and carrying out pixel-level division on the original color data to obtain a plurality of pixel color subsets; performing RGB color gamut mapping conversion on the pixel color subset to obtain a color gamut mapping subset, and performing color distribution statistics based on the color gamut mapping subset to obtain a color distribution histogram; when the proportional unbalance degree of the RGB three-channel components in the color distribution histogram exceeds a standard deviation range, performing color gain calculation on the original color data based on the color distribution histogram to obtain a color gain matrix; and color output adjustment is performed on a backlight unit of the LCD screen based on the color gain matrix to obtain an enhanced LCD display color, and the technical problem that local over-enhancement or color distortion is easily caused due to lack of dynamic perception and response to pixel-level color distribution characteristics of actual display content of the screen in a traditional color enhancement method is solved.

Disclosed is an encoder for encoding images, the encoder having a processor configured to obtain colour data of colour channels of a given image and other data of at least one other channel of the given image, wherein the at least one other channel comprises at least one of: an alpha channel, a depth channel, a velocity channel of the given image; divide the given image into blocks, wherein the colour data and the other data are divided into their own respective blocks; and encode the blocks into encoded data, wherein a given block of the colour data and a corresponding block of the other data are encoded together into the encoded data.

The invention discloses a data processing method and device, computer equipment and a computer readable storage medium, and the method comprises the steps: determining target color mapping information based on first image information, first color data information and initial color mapping information;

A method for automatically identifying and converting a control mode and energy and an IPL intense pulsed light therapeutic apparatus are characterized in that a color identification module on a host of the intense pulsed light therapeutic apparatus is used for collecting colors of a color identification area on a lamp holder cover, and color information identified by the color identification module is transmitted to a control system; the control system compares the identified color information with preset color data so as to judge the type of the lamp cap cover; the control system distributes preset corresponding control programs and energy levels according to the judged types of the lamp cap covers; after the intense pulsed light therapeutic instrument host receives an actual control instruction of a user, the control system outputs corresponding energy to the user through the window areas on the therapeutic surface and the lamp cap cover according to the distributed control program and energy level, and different treatments are carried out. According to the invention, the original color recognition function of the intense pulsed light therapeutic apparatus is utilized, different types of magnetic covers can be automatically recognized and controlled, various requirements of users are met, and the cost is not increased.

To provide a color and shape change monitoring system capable of accurately monitoring the color and shape change of a human body caused by a blood flow change.SOLUTION: The image processing apparatus includes a three dimensional point cloud data acquisition unit configured to acquire three dimensional point cloud data of a measurement target portion of a human body, a color data acquisition unit configured to acquire color data of the measurement target portion, a color-shape-data generation unit configured to generate color-shape data of the measurement target portion in which the color data is associated with the three dimensional point cloud data, and a pigment component separation unit configured to separate the color-shape data into a hemoglobin pigment component, a melanin pigment component, and a shade component.SELECTED DRAWING: Figure 1

The application discloses a color camera color correction method, system, device and medium, the correction method comprises: through shooting the area light source to complete the lens shadow correction and white balance correction of the color camera; the XYZ value of the area light source is measured using a color measuring device, and the light source correction coefficient corresponding to the different areas of the area light source is calculated; the transmission color card is placed, and the transmission light of the area light source passing through the color card is measured using the color measuring device to obtain target color data; the color camera is started and the measured color data is collected, so that the correction matrix is fitted based on the target color data. The application carries out color correction of the color camera based on the color card under the irradiation of the actual area light source, avoids the influence of the actual area light source on the true value of the color card provided by the manufacturer, solves the area light source shielding problem during the measurement of the target color data through the transmission color card, solves the uniformity problem of the area light source through the light source correction coefficient, and significantly improves the accuracy of the color correction as a whole.

The present application relates to the technical field of oral prosthetics, in particular to a porcelain dental prosthesis color prediction system, a construction method and a prediction method, comprising: a multi-modal image acquisition module for acquiring high-definition color images of natural teeth in the oral cavity, three-dimensional scanning images of tooth preparation surfaces and microstructure images of porcelain prosthesis substrates, and synchronously acquiring environmental light parameters; an image recognition processing module for processing original data, outputting natural tooth color space feature vectors, tooth preparation surface morphology parameters and porcelain layer substrate micro-pore distribution parameters; an intelligent color prediction module for constructing a deep learning model, combining an environmental light correction algorithm to predict the final presented color data of the prosthesis; a parameter output and optimization module for generating a color deviation report, outputting porcelain layer thickness adjustment suggestions and firing process parameter optimization schemes, and supporting visual display of the prediction effect. Thus, the problems of one-sided prediction dimension and subjective optimization in the prior art are solved.

Techniques are disclosed relating to storage techniques for fragment data. In some embodiments, one or more storage circuits are configured to store sample color data for processing by shader processors including a data structure that includes first and second elements configured to store color data for first and second colors, respectively. In some embodiments, control circuitry is configured to generate color state metadata to map samples in a region of pixels to colors in elements of the data structure, including to map multiple samples to the first element of the data structure. In some embodiments, control circuitry is configured to access the color state metadata to determine a mapped element of the data structure for a given sample and read the color data from the mapped element of the data structure. Disclosed techniques may improve, reduce or avoid duplication and thereby improve cache efficiency for accesses to color data.

A system may receive a plurality of sports event video feeds, whereupon, the system may calibrate the plurality of sports event video feeds. The system may generate a panoramic video feed, wherein the panoramic video feed is generated by stitching together the calibrated plurality of sports event video feeds. The system may obtain tracking data for at least one asset in the sports event and generate a tactical video feed, wherein generation of the tactical video feed is based on the tracking data. The system may further balance and calibrate color data across the plurality of sports event video feeds.

The embodiment of the invention discloses a cigarette color film detection method, system and device and a storage medium, and the method comprises the steps: obtaining the front color data of a target cigarette based on a first color sensor, and determining the first color film detection result of the target cigarette based on the front color data; obtaining side color data of a target cigarette carton based on the second color sensor, and determining a second color film detection result of the target cigarette carton based on the front color data; and determining a target color film detection result of the target cigarette carton based on the first color film detection result and the second color film detection result. According to the technical scheme provided by the embodiment of the invention, the problem that the detection accuracy is insufficient due to the fact that image data shot by a single camera is adopted for color film anomaly analysis in the prior art is solved, the color data of the cigarette color film can be acquired from multiple angles based on the double-color sensor, and then fusion analysis is performed on the color data of the multiple angles, so that the detection accuracy is improved. And the detection accuracy of the cigarette color film is improved.

To provide an apparatus and method for reducing the amount of power during color data processing in a split / non-split rendering process.SOLUTION: The client device receives, from the server, multiple data packets corresponding to multi-color color data for each of multiple frames associated with the application, converts to single-color content associated with the multi-color color data, and performs a colorspace conversion on the single-color content associated with the multi-color color data being rendered at the server. Performing color space conversion includes adding chrominance planes to the single color content to generate first color space content, performing color space conversion from the first color space content to second color space content, and displaying the second color space content. The chrominance planes comprise pre-prepared chrominance components.SELECTED DRAWING: Figure 6

The invention provides an image processing method, device, system and equipment, a medium and a program product, and relates to an image processing technology. The method is applied to a server and comprises the steps of generating a first image in a preset image format based on a first resolution image; wherein the first image comprises color data of at least two channels; performing super-resolution processing of different modes on the color data of the at least two channels to obtain a second resolution image; wherein the second resolution ratio is higher than the first resolution ratio. According to the method, rendering time consumption can be reduced, and dependence on hardware is reduced.

The present disclosure relates to a system and method for improving or refining the accuracy and / or level of detail of a 3D surface based on pixel data from a set of images, such as color data of pixels. In particular, the present disclosure relates to a 3D scanner system comprising an intraoral 3D scanner, comprising: a projector unit comprising a light source and a pattern generating element for structuring light from the light source into a pattern to be projected onto a surface of an object; and two or more cameras configured to acquire a set of images, where the set of images includes images from each camera, where each image includes an array of pixels, each pixel having a pixel color; the scanner system further includes one or more processors operatively connected to the intraoral 3D scanner configured to: generate a three-dimensional (3D) surface of the object based on the set of images obtained from the camera, where the 3D surface includes a plurality of points and / or vertices; and generating a refined 3D surface by solving the optimization problem wherein points and / or vertices in the 3D surface are relocated such that for each point or vertex, a measure based on differences in pixel colors associated with that point or vertex will be minimized.

The application provides a color correction method, system, display device and chip, and relates to the technical field of display. The method comprises the following steps: converting initial color data of a pixel into initial coordinates in a target color space; the initial coordinates comprise components in each coordinate direction of the target color space; extracting binary high m bits of each component; extracting binary low n-m bits of each component; n is a pixel bit width; obtaining corrected color data of a plurality of sampling points corresponding to the pixel according to the high m bits; performing interpolation on the corrected color data of the plurality of sampling points according to the low n-m bits to obtain corrected color data of the pixel; each side length of the target color space is a maximum value of a pixel color range, the target color space is divided into a plurality of sampling cubes, vertices of the sampling cubes are sampling points, p is a number of the sampling points in a coordinate direction, and p=2 m +1.In the application, the pixel is displayed by using the corrected color data, so that the display screen can display a standard specified color gamut.