31 results about "Color table" patented technology

The invention relates to the technical field of ocean engineering digital twinning and three-dimensional visualization, and provides a method and system for generating dredging terrain twinning based on a right-angle triangular mesh, and the method comprises the steps: obtaining regular grid elevation unified to an engineering plane coordinate system or preprocessed sampling height data, determining a covered space range, reading the space range and density parameters, and calculating the total row number and the total column number of the grids based on the space range and the density parameters; generating regularly arranged vertexes in the covered space, and constructing a topological structure of an isosceles right triangle grid; dividing the global grid into a plurality of Chunk blocks according to a fixed size by taking a vertex as a unit, establishing a triangular index mapping relationship between global rows and columns and the Chunk blocks, filling three vertexes of an isosceles right triangle and elevation / height data in each Chunk block in parallel, and generating local VBO, IBO and AABB; and performing batch rendering and coloring according to a height color table on all Chunk blocks to realize visualization of the terrain.

The invention provides an underwater image enhancement method fusing multi-scale frequency domain and multi-color gamut features, and the method comprises the following steps: employing an underwater robot to collect an original image, carrying out the size normalization processing, and obtaining a standardized image; inputting the standardized image into a frequency domain feature enhancement network to generate an enhanced frequency domain feature; forming the standardized image into three paths of color features; splicing and fusing the three paths of color features to obtain enhanced color features; splicing and fusing the enhanced color representation and the frequency domain representation to obtain a final joint feature; and L1 loss and structural similarity loss are adopted for joint supervision, and network training is completed. According to the method, multi-scale frequency domain enhancement and multi-color gamut information enhancement are coupled in the same frame, so that collaborative repair of multiple degeneration such as color distortion, contrast reduction and detail blur of the underwater image is realized.

An information processing device acquires a learning image in which a subject for learning and a color chart appear. The information processing device calculates a correction coefficient for correcting a color appearing in the color chart in the learning image to a reference color as a reference. The information processing device generates learning data in which an image of a portion of the subject for learning in the learning image is associated with the correction coefficient. The information processing device generates a trained model that outputs a correction coefficient for correcting a color of an image in which a subject appears in response to an input of the image based on the learning data.

The present application relates to the technical field of marine engineering digital twin and three-dimensional visualization technology field, provide a kind of based on right triangle grid's dredging topography twin's generation method and system, comprising: obtaining regular grid elevation or sampling height data after pre-processing that have been unified to engineering plane coordinate system, determine the space range covered read space range and density parameter, based on space range and total row number and total column number of calculated grid;In the space covered, generate regularly arranged vertex, construct the topological structure of isosceles right triangle grid;With vertex as unit, several Chunk blocks are divided into global grid with fixed size, establish the triangular index mapping relationship of global row and Chunk block, the three vertices of isosceles right triangle and elevation or height data are filled in each Chunk block in parallel, generate local VBO, IBO and AABB;Batch rendering and coloring according to height color table are executed to all Chunk blocks, and the visualization of topography is realized.

The application provides an image enhancement processing method for fishery resource statistics, belongs to the field of image enhancement, and aims to build a color prior feature enhancement network, the color prior feature enhancement network comprises a high-frequency information enhancement module and a low-frequency information enhancement module, the high-frequency information enhancement module strengthens the detail features in the fishery resource statistics image, the low-frequency information enhancement module focuses on the accurate correction of the image color, better retains the overall content and color expression of the fishery resource statistics image, a frequency information interaction module is built, interaction between the high-frequency information and the low-frequency information is realized, the color information in the low-frequency information is effectively fused with the texture and detail features in the high-frequency information, and fishery resource statistics image enhancement is realized.

The application discloses a method for urine test paper mobile phone image detection and analysis, which comprises the following steps: collecting urine test paper JPEG images under multiple light sources under a standard light source box, taking the test paper image under the D65 light source as a standard image, converging the RGB color performance of the test paper block in the corresponding area of the test paper image under the standard light source to the test paper image under the remaining light source environment, that is, training and obtaining a compensation model, fully considering the test paper color features and the mobile phone camera characteristic features in the model characteristic parameters, ensuring the accuracy of the color correction model by analyzing the maximum value, minimum value and variance of the features during preprocessing, establishing a training TabNet model, fusing multiple regression models such as LightGBM, ElasticNet Regression and Support Vector Regression to optimize the color correction effect, and realizing a strengthened compensation model. Through the color correction of the test paper image by the compensation model, the error caused by the color performance of the urine test paper image affected by the environmental light is reduced, the most real color of the test paper image is restored, the color recognition degree is improved, the accuracy of the test paper detection and analysis is improved, and the model is small and has a fast recognition speed.

The invention discloses a measurement and control method for SAR (Synthetic Aperture Radar) imaging and data storage and read-back, which belongs to the technical field of radars and mainly comprises the following steps: a measurement and control computer judges frame headers of corresponding specific bytes of data returned by radar SAR imaging, and if the frame headers of the data returned by radar SAR imaging are the same as the frame header specified by a protocol, the frame header of the data returned by radar SAR imaging is not the same as the frame header specified by the protocol; if so, putting the data with the judged frame header into a blank character string array; setting the size, color table and pixel points of an image to be drawn; extracting data from the character string array as pixel points in measurement and control software in a measurement and control computer to draw an image; after the image is drawn, target information parameters need to be synchronously analyzed to a measurement and control software page; and meanwhile, the image and the image data information are stored in a specified folder. According to the measurement and control method, the radar SAR imaging image is displayed and stored on the measurement and control software, the image can be retrieved in subsequent analysis, the radar test efficiency and accuracy are improved, and engineering implementation is easy.

The invention relates to a method for displaying a multimedia document, the method comprising the steps of: generating an image (IM) made up of pixels from a displayable or displayed version of a multimedia document (MD); determining an average (MCL) or dominant color of the image; searching in a color table (CCT) for a color closest to the average or dominant color; determining a first power consumption indicator (CS) for displaying the multimedia document as a function of the power consumption associated in the table with the closest color found; and displaying the first power consumption indicator. Figure 2

1. The name of the design product: individual brain event-related brain function analysis graphical user interface of electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the content of the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 interface change state diagram 2. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the present graphical user interface is used for individual brain event-related brain function analysis. 7. The human-computer interaction mode of the graphical user interface: design 1 main view is a patient management interface, which can create a patient file and add a task; clicking icon A of design 1 main view enters design 1 interface change state diagram 1 to create an individual brain background, which shows the position of electrodes on the patient's brain, and the specific interface is shown in design 1 interface change state 1 reference diagram; clicking "next step" of design 1 interface change state diagram 1 enters design 1 interface change state diagram 2 to create a task-based brain function area positioning map, which characterizes the activation degree of electrode nodes by color. Design 2 main view is a patient management interface, which can create a patient file and add a task; clicking icon B of design 2 main view enters design 2 interface change state diagram 1 to create an individual brain background, which shows the position of electrodes on the patient's brain, and the specific interface is shown in design 2 interface change state 1 reference diagram; clicking "enter Mapping" of design 2 interface change state diagram 1 enters design 2 interface change state diagram 2, which can create and edit intraoperative and bedside functional electrical stimulation on the individual brain background.

The invention discloses a loop iteration color chasing method, device and equipment based on an RGB mode and a storage medium, and relates to the technical field of ink-jet printing. The method comprises the steps that a first mapping table is obtained after a first printing device is controlled to print a preset RGB color table, a second mapping table is obtained after a second printing device is controlled to print a preset CMYK color table, and a third mapping table is obtained according to the first mapping table and the second mapping table; according to a third mapping table, converting a preset RGB color table to obtain a conversion color table, and controlling second printing equipment to print the conversion color table to obtain a measurement image; performing loop iteration correction on the second mapping table according to the color effect of the measured image, and obtaining a new third mapping table according to the corrected second mapping table; according to the method, color matching can be more accurately realized, the consistency of output color effects of different printing devices in the same printing operation is ensured, and the accuracy and efficiency of color chasing printing are improved.

An optically variable surface pattern which is designed to provide a multi-color representation when viewed from at least one predefined viewing angle and includes a multiplicity of surface elements which are provided with relief structures, at least one of the relief structures having nanostructures that act as color filters. The relief structures are selected from a set of at least four relief structures that differ from one another, each of which generating a color impression corresponding to a predefined monochromatic color when viewed from the predefined viewing angle, and each of the monochromatic colors corresponding to a different basic color. The surface elements are dimensioned such that, in at least one subregion of the surface pattern, when viewed from the at least one predefined viewing angle, a color impression corresponding to a mixed color that differs from the predefined basic colors can be generated.

The invention discloses a video target tracking method based on multi-source heterogeneous data collaboration, and belongs to the technical field of computer vision. The method aims at solving the problems that existing single-mode tracking robustness is insufficient and multi-mode fusion efficiency is low. The method comprises the following core steps: firstly, carrying out adaptive cutting on a red-green-blue (RGB) image and a depth map which are synchronously acquired, and constructing six-channel input based on pseudo-color mapping and channel splicing of a JET color table; secondly, respectively extracting independent feature tokens of RGB and depth modes by adopting a double-branch embedded structure; furthermore, a visual prompt module is embedded in each layer of the visual Transform backbone network, so that hierarchical progressive fusion of two modal features is realized; meanwhile, deploying candidate elimination modules in the third layer, the sixth layer and the ninth layer, and dynamically screening high-confidence-coefficient feature tokens based on the attention weight of a template-search area so as to reduce the calculation overhead; then, a center heat map, a size map and an offset map of the target are predicted in parallel through a center positioning head structure, and an accurate bounding box is generated; and finally, performing end-to-end training in combination with a multi-task loss function, executing a complete process including initialization and tracking in a reasoning stage, and assisting with a post-processing strategy to improve stability. According to the method, the geometric advantages of depth information and the global modeling capability of Transform are fully utilized, and the tracking precision, robustness and reasoning efficiency in a complex scene are remarkably improved.

The application provides a display device. A processor of the display device is configured to: acquire a backlight current of a display screen and a color temperature related parameter; the color temperature related parameter includes a color coordinate of the display screen; determine a target backlight current of the display screen between an i-th display compensation moment and an i+1-th display compensation moment according to the backlight current of the display screen and a brightness compensation coefficient; determine a target RGB color table required for image display of the display screen between the i-th display compensation moment and the i+1-th display compensation moment according to the color temperature related parameter and a compensation coefficient corresponding to each color temperature related parameter, the target RGB color table including values of RGB three channels corresponding to each gray scale; and perform image display according to the target backlight current and the target RGB color table. The application improves the stability of image display.

Provided are a heterocyclic compound, a light-emitting device including the heterocyclic compound, and an electronic apparatus including the light-emitting device. The heterocyclic compound is represented by Formula 1, which is explained in the specification. The light-emitting device is capable of maintaining efficiency and color expression at constant levels.

The invention discloses a color conversion method and device and a storage medium. The color conversion method comprises the steps that an obj file is imported, color information in the obj file is analyzed, a first color conversion scheme or a second color conversion scheme is selected, and the first color conversion scheme or the second color conversion scheme is associated with a color expression mode of the color information; according to the first color conversion scheme or the second color conversion scheme, the color information is converted into a target clustering color, the target clustering number is obtained, and the information format of the target clustering color conforms to the information format of the color patch of the 3D printing slicing software. According to the method and the device, different color information in the obj file is converted into the information format of the color patch in the patches stored in the 3D printing slicing software, a user does not need to manually import the color information in the obj file, and the user experience is improved.

The invention relates to a fine-grained cotton color-level standard image sample library construction method and a terminal, and discloses a method for constructing a fine-grained cotton color-level standard image sample library. Real color-level labels are acquired by professional classifiers under a standard daytime light condition, real color images are acquired through standardized placement and high-consistency illumination, and color expression consistency is ensured through CIELab chromatic aberration correction. Traceable sample management is realized through structured packaging and hierarchical indexing, and samples are dynamically screened and replaced through combination of model-assisted level judgment and manual recheck, so that a sample library is continuously optimized, the level judgment capability is continuously enhanced, and the efficiency is improved. According to the method and the terminal, reliable cotton color level standard image sample library construction is realized. The method is characterized by comprising the following steps: step 1, determining a sample collection range and a scale standard, and before sample image collection, making a sample collection standard to ensure that the number, grade coverage and distribution structure of images in a sample library have statistical significance and representativeness;

1. The name of the design product: electronic device's avatar editing graphical user interface. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface of the claimed part. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for editing the user's avatar on the electronic device. 6. The human-computer interaction mode of the graphical user interface: the front view is the avatar editing interface, the middle of the upper part of the interface is the user's avatar, clicking on the avatar switches to change state figure 1, and the required avatar can be selected; clicking on the custom button switches to change state figure 2, and the avatar can be edited by clicking on different colors, expressions and shapes. 7. Other circumstances that need to be explained: the red semi-transparent covered area in the interface is not claimed, and the covered area includes the avatar generated in the upper part of change state figure 2, multiple circular images in the expression, and multiple rounded rectangular images in the shape.

The present invention provides a system and method for efficiently compressing an image with low bandwidth and low memory requirements while maintaining high quality of the image. The method includes: acquiring a block of an image including a plurality of pixels; obtaining an initial color table; the method includes iteratively updating the initial color table to generate an updated color table, generating an index for the plurality of pixels, where each of the plurality of pixels has an index directed to a color in the updated color table, determining an average color corresponding to a color having the same index, and generating an index for the plurality of pixels, where each of the plurality of pixels has an index directed to a color in the updated color table. Replacing colors in the updated color table with the average color to generate an average color table, and storing the average color table and an index of the plurality of pixels as a representation of a block of the image.

The present application provides a color table extraction neural network model construction, a color table extraction method and system, belonging to the technical field of computer image processing and data visualization, comprising: obtaining a single scalar field visualization image; inputting the single scalar field visualization image into a pre-trained color table extraction neural network model, the color table extraction neural network model processing the input image to extract scalar data and a color control point sequence; interpolating the color control point sequence to generate a continuous color table, and then mapping the continuous color table and the extracted scalar data to generate a reconstructed image; performing self-supervised fine-tuning in the inference stage of the color table extraction neural network model to extract the final continuous color table.

This invention provides a method, apparatus, device, medium, and program product for hierarchical mapping data visualization coloring based on an extended adjacency matrix, relating to the fields of information processing and visualization technology. The method includes: acquiring hierarchical structure data and boundary information of the smallest coloring unit; parsing the hierarchical structure data to determine the mapping relationship between each upper-level region and its corresponding sub-region; constructing an extended adjacency matrix based on the mapping relationship and the boundary information of the smallest coloring unit; performing color assignment processing on each upper-level region to determine a region coloring table; and performing color rendering processing on all sub-regions in the hierarchical structure data based on the region coloring table and the mapping relationship to obtain a region coloring map. The embodiments provided by this invention can optimize color assignment effects and improve the hierarchical expression capability and visual readability of complex data visualization.

This application provides a method, apparatus, device, and storage medium for detecting chip anomalies. The method includes: acquiring the basic structure and layering information of the original design layout of the chip to be tested; performing a first calculation logic setting and color characterization on contact holes according to the connection characteristics of the basic structure and a pre-configured observation mode to obtain contact hole layer images; performing a second calculation logic setting and color characterization on each metal layer based on the connection relationship between the contact hole layer, metal layer, and via layer and the contact hole layer image to obtain images of each metal layer; selecting any metal layer as the metal layer to be tested and scanning it using a scanning electron microscope to obtain an actual voltage contrast image; performing image recognition between the metal layer image as a theoretical voltage contrast image and the actual voltage contrast image to obtain a comparison area image; and performing color comparison on the comparison area image to determine anomaly points. The method of this application improves the efficiency of chip anomaly point location.

This application discloses a program verification method, apparatus, device, and storage medium, belonging to the field of software technology, which can solve the problem of inaccurate detection of real-time security of programs. The method includes: obtaining an intermediate representation of the program to be analyzed through a static analyzer; initially coloring the function nodes corresponding to the real-time context in the intermediate representation according to preset external semantic rules to obtain basic nodes; constructing a function call relationship graph based on the function information of the program to be analyzed; color propagating on the function call relationship graph based on the basic nodes to color the function nodes on the call paths corresponding to the basic nodes; and performing a blocking determination on the function nodes when the color of the function nodes in the call relationship graph indicates that the function nodes have non-real-time security attributes.

Techniques are described for delivering video, such as computer game video, over a network with minimal latency by converting (300) the video into Y-U-V video and then sending (302) brightness only data (Y-channel) to an end user. Color tables and / or machine learning may be used to reconstruct (402) colors on the receiver side.

This disclosure belongs to the field of image processing technology, and relates to an image processing method and apparatus, storage medium, and electronic device. The method includes: acquiring an image to be processed, and performing a layer merging process on the image to obtain a color table; performing a color table conversion on the color table to obtain a color level image, and performing an index lookup process on the color level image to obtain an index table of the image to be processed; and performing image decolorization processing on the color level image and the index table to obtain a target image corresponding to the image to be processed. In this disclosure, the layer merging process and the index lookup process can run in parallel during image processing, improving the efficiency of image processing and meeting the requirement of obtaining the target image without lag even when running games or other applications. Furthermore, performing image decolorization processing on both the color level image and the index table improves the effect of image decolorization and optimizes the user experience and sensory experience.

Provided are a heterocyclic compound, a light-emitting device including the heterocyclic compound, and an electronic apparatus including the light-emitting device. The heterocyclic compound is represented by Formula 1, which is explained in the specification. The light-emitting device is capable of maintaining efficiency and color expression at constant levels.

The invention discloses a compression and decompression method and system for RGB lamp strip data, and the method comprises the following steps: a data obtaining step: obtaining original RGB data of an RGB lamp strip, the original RGB data being in the form of an RGB three-channel pixel value sequence; rGB lamp strip data characteristics are adapted, the transmission and processing efficiency is improved, high-order retention processing is carried out on RGB channel values in the preprocessing step, statistics and multiplexing are carried out on high-frequency appearing colors in combination with a color table, and redundant data are reduced; meanwhile, the integrity of compressed data is guaranteed through a CRC check value, data reliability in the transmission process is ensured, good practicability and compatibility are achieved, data are accurately analyzed through a flag bit in the decompression process, cross-packet data processing is supported, and when compressed data streams are transmitted in multiple packets, the data transmission efficiency is improved by caching residual data and continuing decoding in subsequent frames. And the color table index is reset for each frame to adapt to dynamic data, so that the stability and reliability of the decompression process are ensured, and the method adapts to complex transmission scenes in practical application.

The application provides a color representation method for spun-dyed yarns by fusing spatial features, which is based on a multi-level architecture of "1D-CNN time series feature extraction, DNN intra-aperture fusion, Bi-LSTM spatial sequence modeling, ResNet image color feature extraction, pyramid pooling layer image spatial feature extraction, and Transformer cross-modal fusion". The innovations include hierarchical feature extraction of multi-aperture spectra, bidirectional LSTM spatial dependence modeling, and Transformer atlas deep fusion. Experiments show that the application is significantly superior to the prior art in color prediction accuracy, material generalization, and computational efficiency, and is suitable for intelligent color control and formula design in the textile industry.