216 results about "Color data" patented technology

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.

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 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.

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.

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 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.

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.

The invention belongs to the technical field of aflatoxin detection, and relates to an aflatoxin detection method based on a surface plasma resonance effect, a kit and application. Comprising the following steps: S1, preparing a lysine functionalized gold / silver nanoparticle solution; s2, adding an aflatoxin standard solution with known concentration into the Hg < 2 + > standard solution, oscillating and incubating, and then adding the lysine functionalized gold / silver nanoparticle solution to construct an aggregation colorimetric reaction system; and a series of aggregation colorimetric reaction systems. S3, acquiring color data by a machine image recognition technology, wherein the color data comprises an R value, a G value and a B value; s4, constructing a standard curve; s5, color data of a to-be-detected sample are obtained, and the content of aflatoxin in the to-be-detected sample is obtained through the standard curve. Visual quantitative analysis detection of aflatoxin is realized, the sensitivity is ensured, the detection process is simple, and the test efficiency is high.

The invention discloses a data transformation method and device and a storage medium, and the method comprises the steps: obtaining first color data, second color data and third color data for a positive transformation process of a coding end, carrying out the arithmetic operation of the first color data and the second color data, obtaining first chroma data, and obtaining second chroma data; and performing arithmetic operation on the third color data and the first color data to obtain second chrominance data, and taking the third color data as brightness data. Compared with a traditional method, the conversion method only needs two times of arithmetic operation, the calculation complexity can be remarkably reduced, redundancy between channels in a color space is reduced, meanwhile, hardware resource expenditure can be effectively saved, then the average power consumption of equipment can be reduced, and the working frequency can be improved.

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.

There are provided methods and apparatus of controlling a lighting device. To reach that aim, a camera perspective type associated with a rendering of an image (310) on a display device comprised in a first environment is determined. A first information identifying a spatial area of a set of spatial areas is associated with each region of a set of regions of the image (310) according to the camera perspective type. Position data representative of position of the lighting device in the first environment is received. The lighting device is associated with a part (31) of a region (312) according to the first information and the position data. The lighting device is controlled according to color data obtained from the part (31).

The invention discloses a space intelligent three-dimensional reconstruction method and system based on cross-scale topological consistency, relates to the field of space intelligence, and solves the problem that the existing space intelligent three-dimensional reconstruction technology is poor in three-dimensional reconstruction effect. S2, performing scene geometric topology verification on the initial three-dimensional model of the target area and the target modeling area, performing topology element repair on the initial three-dimensional model of the target area according to a verification result, and performing three-dimensional model construction on the initial three-dimensional model of the target area to obtain an initial three-dimensional model of the target area; s3, performing real-time color restoration on the initial three-dimensional model of the target area according to the real-time color data corresponding to the target modeling area to obtain a three-dimensional reconstruction model of the space area, and improving the structural integrity and geometric accuracy of the three-dimensional model in a complex scene.

This invention discloses a method, device, and computer-readable storage medium for improving frame rate in game scenes. The method includes: identifying whether each element color value in the first element color data value set of the main scene model in the main buffer of the current frame is identical to an element color value in the second element color data value set of the simplified model in the secondary buffer; in the next frame, placing each element with the same element color value in the secondary buffer and waiting directly for image rendering; performing coordinate transformation, perspective transformation, and cropping operations on each element with different element color values, placing it in the main buffer, and waiting for image rendering. This achieves an efficient game scene frame rate improvement scheme, reduces computational load, saves processing resources, and enhances the user's gaming experience.

The invention provides a Hall thruster discharge chamber wall surface life estimation method, system and device and a medium, and the method comprises the steps: a preprocessing module which determines a to-be-estimated wall surface target position; the image recognition module is used for respectively acquiring color data of a wall background, a sediment sample and a wall target position after a discharge experiment and recording experiment time, the Hall thruster discharge experiment module is used for carrying out the discharge experiment on the wall target position, and the sedimentary layer depth analysis processing module is used for converting the color data into colored light three-primary-color data, estimating the depth of the sediment and recording the experiment time. And the wall surface life analysis and estimation module is used for obtaining a deposition rate and a sputtering rate in combination with the sediment depth and experimental time data, obtaining the shortest wall surface cutting time in combination with the wall thickness of the target position, and finally converting the shortest wall surface cutting time into wall surface life data. According to the method, the technical defects of an existing Hall thruster wall surface service life estimation method can be effectively overcome, and the actual requirement for rapid, accurate and low-cost estimation of the Hall thruster wall surface service life in the industry is met.

The present application relates to the field of microscope optical detection and intelligent identification technology, and particularly relates to a microscope objective automatic identification system and method, the system comprising: a microscope objective, a color ring encoding disc is arranged on the back end surface of the microscope objective; a coaxial optical fiber, one end of the coaxial optical fiber is directed to the color ring encoding disc, and the other end of the coaxial optical fiber is connected to a color identification sensor, the coaxial optical fiber is used for transmitting illumination light to the color ring encoding disc of the microscope objective, and acquiring a reflected light signal carrying color information; the color identification sensor is used for acquiring the reflected light signal and converting the reflected light signal into RGB color data; a master control unit is used for receiving the RGB color data, and decoding and identifying parameter information of the microscope objective according to a pre-stored color ring encoding and objective parameter mapping table. The present application solves the problems of high cost, single identification dimension, poor generalization of modification and short service life of the identification mode of the microscope objective in the prior art.

A method for processing a digital image includes receiving an image from a camera, inverting color data of the image, and bit-shifting each pixel in the image such that the total bits per color (BPC) of each pixel is reduced while preserving the data elements of the image. The bit-shifted image is provided to a computer vision system.

The present application relates to the field of nanomaterials and analytical detection technology, in particular to a reagent for rapid detection of aureomycin and a rapid detection method of aureomycin. After adding 3-mercaptopropionic acid modified AgInS2 quantum dots to aureomycin, the fluorescence intensity and color of AgInS2 QDs change due to electrostatic interaction and band gap transition, thereby constructing a fluorescence colorimetric sensor to realize the ultra-sensitive detection of aureomycin. In order to realize the on-site detection of aureomycin, a portable device equipped with a smartphone and integrated with the AgInS2 QDs sensor is also designed. The cloud server data analysis system based on machine learning algorithm is integrated into the smartphone, which is convenient for color data collection, correction, interpretation and display. The present application utilizes the function of modern smartphones to capture and process fluorescence color signals, thereby providing a user-friendly on-site detection solution for aureomycin detection.

Method for generating a total agreement metric for matching the color and appearance of a target coating and at least one sample coating, wherein the method comprises the steps of: A1) Obtaining target color data of the target coating and pattern color data of the pattern coating generated by a pattern coating composition, wherein the target color data includes target color values ​​measured at three or more color viewing angles and the pattern color data includes pattern color values ​​measured at the three or more color viewing angles; A2) Generating color difference values ​​(ΔE) at each of the color viewing angles, based on the target color data and the pattern color data values ​​at each of the color viewing angles; A3) Obtaining target sparkle data of the target coating and pattern sparkle data of the pattern coating, wherein the target sparkle data includes target sparkle values ​​measured at one or more sparkle viewing angles and the pattern sparkle data includes pattern sparkle values ​​measured at one or more sparkle viewing angles; A4) Generating Sparkle Difference Values ​​(ΔS) at each of the Sparkle viewing angles, based on the target Sparkle data and the pattern Sparkle data at each of the Sparkle viewing angles; A5) Generating target Flop data (f) of the target coating, based on a target brightness value derived from the target color data and pattern Flop data (f s ) the pattern coating, based on a pattern brightness value derived from the pattern color data; A6) Generating a Flop difference value (Δf) based on the target Flop data (f) and the pattern Flop data (f s); and A7) Generating the Total Match Metric (TMM) of the target coating and the sample coating, based on the colour difference values ​​(ΔE), the sparkle difference values ​​(ΔS) and the flop difference value (Δf).

A processing system reduces the amount of memory and bandwidth needed to store and access trained neural network data (e.g., trained weights) while maintaining fidelity to the original data by patterning the data into two-dimensional (2D) blocks, converting the data into color data (e.g., monochrome or red, blue, green (RGB) data), and applying block compression to the color data. The compressed data is stored with header information indicating the conversion to color data and block compression algorithm that was used to compress the color data. When a processor subsequently accesses the compressed color data, the processor decompresses the color data and converts the color data back into the original format of the neural network data for application to new inputs during the inference phase.

A lamp control signal conversion and transmission method includes: R coded data, G coded data and B coded data generated in three successive sampling periods T0 being transmitted in each transmission period T1 respectively in a first preset sequence, a second preset sequence and a third preset sequence, and colors correspondingly controlled by coded data that is first transmitted in the first preset sequence, the second preset sequence and the third preset sequence are different, such that even if only the first color coded data can be transmitted due to the incompleteness of output color data caused by insufficient power supply when the duty cycle of lamp control signals is low in the process of converting four-wire transmission of the lamp control signals into two-wire transmission, the R, G and B coded data can still be obtained three sampling periods T0 later, which improves completeness of colors of a lamp.

The present application relates to the field of digital image watermarking technology in information security, and provides a double color data image watermarking, image watermarking embedding, image watermarking extraction method and system. The double color data image watermarking method comprises an embedding process and an extraction process. In the embedding process, the color watermarking image W is encrypted by using HDNA, Mandelbrot graph and three-dimensional IPCM chaotic system to obtain an encrypted watermarking; the color carrier image is decomposed by QR decomposition, and then the encrypted watermarking is embedded into the color carrier image. In the extraction process, the encrypted watermarking information is extracted by QR decomposition, and then the original color watermarking information is extracted from the encrypted watermarking information by HDNA and Mandelbrot graph. The present application provides a safe, transparent and efficient double color image watermarking method, which has the advantages of high security, strong robustness, large copyright information capacity and fast operation speed, and has stronger application value.

This invention discloses a method, apparatus, and electronic device for adding character watermarks to images in real time, relating to the field of character watermarking. The method includes: acquiring a line-by-line image data stream in real time; comparing the current pixel coordinates of the image data stream with the starting coordinates of a preset watermark; if they are the same, replacing the original image corresponding to the current pixel with preset character library data to obtain watermark image data; wherein the preset character library data is watermark color data; writing the watermark image data into memory, and controlling the display module and encoding module to read the watermark image data from memory. This invention solves the technical problem in the prior art where both the LCD display and the encoder read data from the same MEM memory and add watermark information separately, resulting in high hardware and memory overhead, and a more complex software operation process.

The invention provides a point cloud pickup method and electronic equipment, which can encode an index value of each point in point cloud data into a unique color value, and render the unique color values corresponding to different points to a graphic buffer area of a non-visual area in an off-screen manner to obtain a color data set; and when a screen click operation of a user is detected, determining a target color value corresponding to the image pixel coordinates according to the color data set, and determining a pickup result by reversely decoding the target color value. The index value of each point cloud is converted into a unique color code, and each point is independently coded, so that the pickup precision is improved. The unique color value is rendered to the graph buffer area of the non-visual area in an off-screen mode, the rendering and picking process is separated from a main thread, calculation is not dependent on the main thread, and the picking efficiency is improved. After a user clicks a screen, a pickup result is determined by taking a target color value inverse solution as an index, and a unique index is obtained through color inverse solution, so that false pickup is avoided, and a quick, accurate and interference-free target pickup function is realized.