52 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.

The invention provides a spatial feature fused colored spun yarn color characterization method, and the method comprises the steps: constructing a multi-level architecture of 1D-CNN time sequence feature extraction, DNN aperture internal fusion, Bi-LSTM spatial sequence modeling, ResNet image color feature extraction, pyramid pooling layer image spatial feature extraction, and Transform cross-modal fusion through five aperture multi-position spectrum collection. The method is characterized by comprising the steps of hierarchical feature extraction of a multi-aperture spectrum, bidirectional LSTM space dependence modeling and Transform spectrum depth fusion. Experiments show that the method is obviously superior to the prior art in color prediction precision, material generalization and calculation efficiency, and is suitable for intelligent color control and formula design in the textile industry.

The invention discloses an image processing method and device, electronic equipment and a computer readable storage medium, and can enable the color of a picture shot by a camera to be closer to the color observed by human eyes, thereby improving the color expression effect of the image. The method comprises the steps of collecting a spectral image of a target scene through a spectral camera, and collecting a first color image of the target scene through a color camera; converting the spectral image according to the human eye spectral response curve to generate a second color image; and performing color adjustment on the first color image through the second color image to obtain a target image corresponding to the first color image.

The invention relates to the technical field of 3D light-transmitting embossment printing, in particular to a color bearing obtaining method and system for an FDM color overlapping 3D printing process, and the color bearing obtaining method for the FDM color overlapping 3D printing process comprises the steps that light measurement is conducted on pure-color raw materials with different thicknesses, and basic absorption values of all the pure-color raw materials under different thicknesses are obtained; constructing a basic absorption model based on the acquired data; based on measurement of actual stacking color values and photometric data of the pure color raw materials under different thicknesses, color absorption increment values of all color layers under different thicknesses in the stacking color layers under different stacking modes are obtained, and a color absorption model is constructed based on the obtained data; obtaining an output color table based on the basic absorption model and the color absorption model in combination with the highlight absorption influence of the surface layer thickness; and based on a color approximation degree algorithm, matching the closest color corresponding to each RGB color needing to be expressed from the output color table. The method has the advantage that the CMYK stacked color precision is improved.

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 relates to a BMP image file compression method, decompression method and system, and the method comprises the steps: carrying out the segmentation of 16-bit data, and forming the color, position, number and line feed for storage points; secondly, traversing the BMP file, and carrying out statistical compression on points and rows with the same attribute to generate any subsequent file; and finally, carrying out reverse decompression, matching a color table and carrying out point-by-point restoration. Compression optimization aiming at rows with the same attribute is greatly optimized, the compression efficiency is improved, the file size after compression is reduced, color data is not deleted, it is guaranteed that color data is restored by 100%, expansion compression can be carried out aiming at multiple color tables, and the playing mode and the playing duration of the picture can be expanded.

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.

A non-transitory computer-readable storage medium storing a program for supporting a general-purpose program which can be commonly used for scanners of a plurality of makers. The program causes a computer to display a setting reception screen for receiving setting of colors expressing an image read by the scanner, and output a reading instruction for causing the scanner to read the image under the color setting received on the setting reception screen.

The invention relates to the technical field of robots, in particular to an intelligent rescue robot which comprises a data acquisition module used for acquiring a field image of a task environment to be executed; the data analysis module is used for determining the qualification of the contour edge of the field image based on the edge contour continuity evaluation value of the field image, and determining whether the feature is a human body feature according to the human body contour evaluation value of the feature of the field image; the data adjustment module is used for determining an adjustment mode according to the ratio of the edge contour continuity evaluation value to a preset edge contour continuity evaluation value on the basis of the condition that the contour edge of the field image is unqualified; the data processing module is used for determining whether a fuzzy region exists in the field image or not based on the color characterization parameter of the field image and determining whether the fuzzy region is a shielding region or not according to the ambiguity evaluation value; and the data optimization module determines an optimization mode according to a difference value between the ambiguity evaluation value and a preset ambiguity evaluation value. According to the invention, the identification efficiency of the intelligent rescue robot is improved.

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.

The invention relates to the technical field of image enhancement, and discloses an image local dynamic contrast enhancement method and device, and the method comprises the steps: carrying out the brightness layering operation of an original image, and obtaining a layered image; performing block operation on the layered image to obtain a plurality of image blocks, performing target filtering on an initial brightness average function corresponding to a first sub-image block in each image block, and then performing brightness mapping and saturation processing on the image blocks based on a target post-filtering function corresponding to the first sub-image block to obtain target image blocks; and the contrast-enhanced image is determined according to all the target image blocks. Therefore, by implementing the method, the local dynamic contrast enhancement process of the image can be realized by performing brightness layering, blocking, initial brightness average function filtering and post-processing operation on the original image, the image contrast enhancement effect is improved, and the image is natural in expression, low in noise and excellent in color expression; and meanwhile, the calculation complexity is reduced.

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.

The present application relates to the field of sensor technology, and in particular to a method and device for evaluating the color representation capability of a multispectral sensor. The evaluation method comprises: obtaining a quantum efficiency curve diagram of the multispectral sensor to be tested; wherein the quantum efficiency curve diagram includes a plurality of quantum efficiency curves, each quantum efficiency curve corresponding to a channel of the multispectral sensor to be tested; calculating the tristimulus values corresponding to each channel based on the quantum efficiency curves; calculating the color coordinates corresponding to each channel in a chromaticity coordinate system based on the tristimulus values; and evaluating the color representation capability of the multispectral sensor based on the color coordinates. The embodiments of the present application are simple to operate, easy to implement, and provide clear analysis results.

The invention discloses a three-dimensional printing object and a printing method thereof. The printing method of the three-dimensional printing object comprises the steps that whether the edge of a current basic printing layer correspondingly protrudes out of the edge of a previous basic printing layer or not is judged; if the edge of the current basic printing layer does not correspondingly protrude out of the edge of the previous basic printing layer, multiple current outer wall color layers are obtained through laminated printing in the edge area of the printing face of the to-be-printed object, the current basic printing layer is obtained through printing in the middle area of the printing face, and a layer-adding printing object is obtained; wherein the lamination thickness of the current outer wall color layers is equal to the thickness of the current basic printing layer; and taking the layer-adding printing object as a new object to be printed, and circularly executing the judgment step until a three-dimensional printing object is printed and obtained. By means of the method, the finer outer wall color layer is used for expressing finer and more real color expression, and the color presentation precision and the color rendition degree are improved.

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;

The present disclosure proposes a white point brightness correction method, device, electronic device and storage medium, the method comprising: obtaining a reference brightness value of the white point of a display at each candidate grayscale, and determining a target brightness value of the white point at each set grayscale based on a maximum brightness value and a minimum brightness value among the reference brightness values; determining a maximum brightness value of each color channel of the display at each set grayscale based on set target color coordinates at the maximum brightness value among the reference brightness values at each candidate grayscale; determining a target grayscale corresponding to each color channel from each candidate grayscale at any set grayscale based on the maximum brightness value of each color channel, the set target color coordinates and the target brightness value of the white point; and correcting the brightness value of the white point at any set grayscale based on the target grayscale corresponding to each color channel, thereby ensuring that the brightness value of the white point at the set grayscale satisfies the white balance characteristics and avoiding distortion of the color representation of the display.

The present invention provides an image recognition method for a pepper automatic picking machine, which relates to the field of image recognition. It introduces a non-uniform scale transformation factor to replace the traditional fixed-factor scale scaling strategy, realizing the dynamic adjustment of the scale level features according to the target distribution; improves the traditional scale fusion method, calculates the dynamic scale weighting coefficient through scale response measurement, and realizes the weighted fusion of the scale features after channel adjustment; combines the adaptive transformation of the color feature channel, the dynamic interaction modeling of the color channels and the global color adjustment, effectively perceives the color features of peppers at different maturity stages, and improves the color expression ability under complex lighting conditions; optimizes the information fragmentation problem caused by the complete separation of the classification and regression tasks in the existing decoupling head through a cross-task feature sharing mechanism, introduces a cross-task sharing coefficient to enhance the effective feature interaction between the classification and regression tasks in the deep feature layer, and improves the accuracy and robustness of recognition.

The invention provides a chip abnormity detection method and device, equipment and a storage medium. The method comprises the following steps: acquiring a layout basic structure and hierarchical information in an original design layout of a chip to be detected; according to the connection characteristics of the basic structure and a pre-configured observation mode, performing first computational logic setting and color representation on the contact hole to obtain a contact hole layer image; based on the connection relation of the contact hole layer, the metal layer and the through hole layer and the contact hole layer image, performing second computational logic setting and color representation on each metal layer to obtain each metal layer image; any metal layer is selected as a to-be-detected metal layer, and a scanning electron microscope is adopted for scanning to obtain an actual voltage contrast image; taking the metal layer image as a theoretical voltage contrast image and carrying out image identification on the theoretical voltage contrast image and the actual voltage contrast image so as to obtain a to-be-compared region image; and carrying out color comparison on the to-be-compared area image to determine an abnormal point. According to the method provided by the invention, the chip abnormal point positioning efficiency is improved.

The invention discloses a color management configuration file acquisition method and device, equipment and a storage medium, and relates to the technical field of ink-jet printing. The method comprises the following steps: acquiring a first sampling curve, wherein the first sampling curve is a relation curve of input ink quantity and output ink quantity; obtaining a first preset color table, wherein the first preset color table comprises a plurality of color blocks with different colors; processing the first sampling curve to obtain a second sampling curve; adjusting the first preset color table according to the second sampling curve to obtain a second preset color table; and establishing a color management configuration file according to the second preset color table. According to the color management configuration, color picking is carried out, on the premise that the overall precision is guaranteed, the color picking precision of a dark color block (or an image dark color area) can be improved, and the consistency of a color value obtained through color picking and an actual color value is higher.

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.