589 results about "Color data" patented technology

The invention relates to the technical field of display screen color adjustment, and discloses a display screen color adjustment method and system based on environment information, and the method comprises the steps: obtaining display content data, environment color data, environment light data and a display screen type of a display screen; calculating color perception data according to the environment color data and the display screen type, and performing data processing on the color perception data to obtain chromaticity feedback data; establishing a relationship between the ambient light data and user preferences through a support vector machine method to obtain user evaluation data; inputting the chromaticity feedback data and the user evaluation data into a color correction model to obtain color adjustment data; classifying the display content data and calculating a type weight index through a squirrel optimization algorithm to obtain a weight index; and generating a color adjustment instruction according to the color adjustment data and the weight index, and performing adaptive adjustment on the display content. The method solves the problems that the color adjustment of the display screen has high requirements on a light source environment and is strong in subjectivity.

The invention provides a wall decoration detection method and system, and relates to the technical field of building detection, and the method comprises the steps: obtaining wall decoration data information based on a laser level meter and a camera device, the data information comprising height, level and image information; the data information is sent to a wall flatness model for flatness calculation, and flatness error data is obtained. Edge calculation is carried out based on the flatness error data and the decoration data information, crack data are obtained, and the crack data comprise position and form information. And analyzing the data information through the data analysis model to obtain smoothness and color data. And finally, the flatness error data, the crack data, the smoothness and the color data are sent to a qualification analysis model for analysis, and a detection result of wall decoration is obtained. Through analysis and detection of various data, comprehensive evaluation of the wall decoration quality is realized, whether the wall is qualified or not can be accurately judged, and the method has the characteristics of high efficiency, accuracy and high automation degree.

The invention provides a graph rendering method and system based on a GLSL shader, and relates to the technical field of three-dimensional model rendering, and the rendering method comprises the steps: loading a 3D model, extracting data of a control point of the 3D model in a VBO of a GPU, generating a first geometric primitive, extracting vertex data in the first geometric primitive, generating an index array of the vertex data, and creating an EBO, based on an index array stored in the EBO, a vertex shader is used for sequentially processing vertex data, obtaining the position and interpolation data of each vertex, cutting the vertex data, regenerating a second geometric primitive, converting the second geometric primitive into a fragment, and a fragment shader calculates color data of each fragment; and the GPU performs parallel rendering on the color data to obtain a final output image, so that resource consumption and memory occupation are reduced while the 3D model is converted into the 2D image, and the rendering efficiency is improved.

The invention discloses a composite optical detection method and system for metal surface corrosion, and the method comprises the steps: employing a line scanning camera and a spectrum confocal sensor to carry out the synchronous data collection through a time-space registration method, obtaining the RGB image data of a to-be-detected metal surface through the line scanning camera, i.e., color data, and obtaining the color data of the to-be-detected metal surface; acquiring point cloud data, namely morphology data, of the metal surface to be detected by using a spectral confocal sensor; carrying out multi-modal data fusion on the RGB data and the point cloud data; a data fusion result is optimized by introducing a confidence coefficient weight; a double-threshold segmentation method of a color threshold and a depth threshold is adopted, and a corrosion area in an optimized data fusion result is preliminarily identified; performing morphological post-processing on the preliminary recognition result through opening operation and closing operation to generate a final recognition result; and carrying out quantitative evaluation on the corrosion area by utilizing a final identification result. The method provided by the invention can realize a rapid and accurate detection process.

The invention discloses an intelligent management system and method applied to clothing flexible customization, and relates to the technical field of clothing intelligent manufacturing, and the system comprises a multi-source color data acquisition module, a color space preprocessing module, a dynamic color space mapping module, an edge real-time calibration module, an equipment state monitoring module and a full-process data closed-loop module. Wherein the multi-source color data acquisition module constructs a cross-device color reference library, the color space preprocessing module standardizes color data and unifies a color gamut, the dynamic color space mapping module generates and optimizes a dynamic conversion matrix, and the edge real-time calibration module updates device parameters in combination with fabric characteristics. The equipment state monitoring module constructs a correlation model to analyze the equipment state and color deviation, and the full-process data closed-loop module stores data through a block chain and optimizes an algorithm. The system realizes a complete process from fabric color data acquisition, cross-device mapping calibration, device state monitoring to full-process data closed-loop management through cooperation of the modules.

The invention relates to the technical field of intelligent lighting control, and discloses a light color shift control method and system, and the method comprises the following steps: S1, receiving target color data and shift parameters through a user interaction interface; s2, acquiring an environment color temperature Tamb by using an environment light sensor, and monitoring an LED module junction temperature Tled through a PT1000 type temperature sensor; s3, calculating a color compensation parameter based on the offset parameter in the step S1 and the sensor data in the step S2; and S4, generating a PWM driving signal through an improved HSV-RGB bidirectional conversion model. By receiving the target color data and the offset parameters and collecting the environmental color temperature and the LED module junction temperature data, basic input and real-time state information are provided for color compensation calculation, so that the system can dynamically adjust the color parameters in combination with user requirements and environmental equipment states, and the pertinence and environmental adaptability of color control are improved.

The invention relates to the technical field of general image data processing or generation, in particular to a soybean germplasm resource high-throughput measurement method based on image recognition, and the method comprises the steps: obtaining a correction image of a target measurement object; based on the corrected image, pod contour image parameters and grain contour image parameters are extracted, and size correction is carried out on the image; calculating a pod length parameter, a grain length parameter, a pod width parameter and a grain width parameter based on the corrected image; obtaining a pod width change curve based on the pod width parameter; calculating the pod number based on the pod width change curve; extracting colors based on the corrected image to obtain pod color data and grain color data; and verifying a pod length parameter, a grain length parameter, a pod width parameter, a grain width parameter, pod color data and grain color data based on the decision coefficient and the root mean square error. The problems that in the prior art, time and labor are consumed, and precision is low are solved.

The invention provides an image freezing detection device and an image freezing detection method, which can judge whether an image is frozen or not even if the displayed image is not an image which changes in real time. An image freeze detection device includes: an image data reception unit that receives image data by frame; a pixel point selection unit that selects at least one pixel point at a fixed position of the image data for the image data received by the image data reception unit; a color data setting unit that sets the color data of the pixel point selected by the pixel point selection unit so that the color data of the selected pixel point is variable within a predetermined range in each frame of image data; the image data checking part is used for checking whether the image data are consistent or not by comparing the image data of adjacent frames; and the judging part judges that the image data is frozen when the checking result of the image data checking part shows that the image data of the adjacent frames are consistent. Therefore, even if the image data is not changed in real time, whether the image is frozen or not can be detected, and prompting is carried out in time.

The present invention discloses a jaundice detection method and system based on visual recognition, and the detection method comprises: obtaining first image data of a person to be detected under white light shooting illumination, and obtaining second image data of the person to be detected under blue light shooting illumination; performing image color extraction on the first image data based on HSV color space to obtain color data of the first image data; performing comparison on the color data of the first image data with the image chromaticity data of a standard image to obtain first comparison data; extracting the proportion of green component and yellow component from the second image data based on Lab color space recognition, and obtaining second comparison data based on shooting parameter settings; obtaining an image yellow chromaticity change evaluation value of the person to be detected based on the first comparison data and the second comparison data, and outputting a detection result based on the evaluation value. By performing image analysis on the yellow component change value, the image detection accuracy is improved, thereby improving the evaluation reliability of the occurrence of jaundice symptoms.

A method for predicting color variance using a proxy includes generating a first 3D object proxy based on a stored 3D object, generating a second 3D object proxy based on the stored 3D object, transforming the first 3D object proxy based on a 3D object identified in a frame of a video, transforming the second 3D object proxy based on the 3D object identified in a key frame of the video, mapping color attributes from the 3D object identified in the frame of the video to the transformed first 3D object proxy, mapping color attributes from the 3D object identified in the key frame to the transformed second 3D object proxy, and generating color data for the 3D object based on the color attributes for the transformed first 3D object proxy and the color attributes for the transformed second 3D object proxy.

The invention provides a cleaning assembly replacement method, device and system, a medium and a product, relates to the field of intelligent robots, and is applied to a cleaning system comprising cleaning equipment and a cleaning base station. The cleaning base station comprises a visual sensor and at least one type of cleaning assembly; the visual sensor is used for identifying color data of the cleaning assembly; comprising the steps that when cleaning equipment is located on a cleaning base station, a first type of a current cleaning assembly is determined based on target color data recognized by a visual sensor; the color data in different numerical ranges correspond to different types of cleaning components; determining a second type of the to-be-cleaned surface, and selecting a target cleaning assembly of a third type matched with the second type; according to the method, the current cleaning assembly is replaced with the target cleaning assembly, the to-be-cleaned face is cleaned based on the target cleaning assembly, in this way, through the method, the cleaning system can automatically recognize and replace the appropriate cleaning assembly, and it is ensured that the ideal cleaning effect is achieved on different types of to-be-cleaned faces.

The invention discloses an elastic material hydrofoil fluid-solid coupling cavitation erosion forecasting method based on a potential energy theory, and belongs to the field of computational fluid mechanics and cavitation. The implementation method comprises the following steps: simulating the cavitation of the hydrofoil made of the elastic material by using a tight coupling algorithm to obtain the pressure and steam volume fraction distribution of the surface of the hydrofoil; a steam volume fraction distribution based on pressure; constructing an erosion index correction factor F for representing the bending torsional deformation degree of the elastic material hydrofoil to correct the cavitation erosion index represented by the pressure wave power density; the cavitation erosion indexes larger than a threshold value are screened out, and the final cavitation erosion risk index is a quotient after superposition of the cavitation erosion indexes; the corrected cavitation erosion index data are interpolated into RGB color data, the data serve as a geometric structure model of a fourth-dimensional mapping elastic material hydrofoil, and the corrected cavitation erosion index numerical value is represented through color change. The corrected cavitation erosion index can more accurately forecast a cavitation erosion risk part on the surface of the hydrofoil made of the elastic material.

The invention discloses an automatic grading control system and method for royal jelly, and belongs to the technical field of bee product processing automation. According to the system, color data, moisture data and HDA content data of royal jelly samples are synchronously obtained through a data acquisition module, and a control module performs normalization processing on multi-modal data, constructs a grading model based on a gradient lifting decision tree to generate a grade judgment result and dynamically generates sorting execution parameters. The execution module drives an execution mechanism to complete automatic sorting and packaging, and a man-machine interaction interface supports classification process visualization and parameter real-time adjustment. The method can be widely applied to an automatic grading assembly line of a royal jelly production enterprise, the grading efficiency and accuracy are remarkably improved, the product quality consistency is guaranteed, and data support is provided for subsequent quality tracing.

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

The invention discloses a self-adaptive parameter calibration camera module automatic debugging system, and relates to the technical field of camera debugging, a parameter calibration module sets a physical parameter threshold value based on the specification of a camera module, then a calibration board is used for geometric and optical parameter calibration, and boundary conditions of the camera module are generated; the self-adaptive debugging module detects environmental parameters of a shooting environment in real time and dynamically adjusts imaging parameters of each camera, the multi-camera coordination module performs exposure coordination across the cameras, adopts global white balance mapping, performs curve alignment according to color temperature response curves of the cameras, and combines a machine learning algorithm to obtain a multi-camera color temperature response curve; and color style matching is carried out on the color data of the multiple cameras, and shooting parameters are adjusted when the multiple cameras are switched. According to the debugging system, a layered debugging framework is combined with environment adaptive optimization and cross-camera parameter coordination, so that an automatic and multi-camera cooperative high-precision parameter calibration process is realized, and the consistency and stability of a camera module are improved.

The invention discloses a digital information control method and system for printing color management, and relates to the technical field of printing color management, and the method comprises a production control module which is used for monitoring production data during printing; the illumination simulation module is integrated with a plurality of illumination modules and simulates various light environments for the printed product; the color monitoring module comprises a position monitoring unit, a data acquisition unit and a data analysis unit; the position monitoring unit is used for carrying out color monitoring on the selected monitoring points of the printed product and monitoring the color performance of each monitoring point in the corresponding light environment; and the data acquisition unit captures color data of each monitoring point in each light environment and records the color data. A plurality of monitoring points are arranged on the printed product, different light environments are set, the color expression of the printed product is accurately monitored, the plurality of monitoring points can cover different color areas on the printed product, and accurate monitoring of key color areas is ensured.

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

The invention is suitable for the technical field of aircraft obstacle avoidance, and particularly relates to an aircraft obstacle avoidance control method and system, and the method comprises the steps: delimiting a flight region of an aircraft, collecting the stereoscopic optical remote sensing data of the flight region, drawing an obstacle recognition graph, marking the position of an obstacle, and configuring the color of the obstacle. Wherein one obstacle at least corresponds to one color, calculating the height of each obstacle, and marking the height in the obstacle identification graph; and segmenting the height into a plurality of layers, and creating branch nodes and leaf nodes. By constructing the obstacle avoidance tree, the color data of all obstacles can be visually displayed, and the color image can be quickly verified, so that the flight safety is greatly improved while the normal flight of the aircraft is ensured, the suspicious obstacles on the flight path can be verified by extracting the RGB values, the flight path planning is optimized, and the flight path planning efficiency is improved. And the flight safety is further improved.

The invention provides projection equipment and a projection method. The projection equipment comprises a projection module, a driving circuit and a controller. The projection module is used for emitting an image beam according to the display data to form a projection picture. The display data includes first color data corresponding to the first color. The driving circuit is coupled to a light source of the projection module. The light sources include first light sources corresponding to a first color. The driving circuit is used for providing a first driving signal to control the luminance of the first light source. The controller is coupled to the driving circuit. The controller is used for receiving the display data and adjusting the first driving signal according to the first color data. According to the projection equipment and the projection method provided by the invention, the power consumption of the projection equipment can be reduced.

The present disclosure relates to the field of projection technology, and in particular to an image color correction method, device, projection equipment and storage medium, the method comprising: receiving first color data of each pixel of a source image; performing white balance processing on the first color data to obtain second color data and a gain coefficient of the first color data; determining color offset data according to the first color data and the second color data; adjusting the first color data according to the color offset data and the gain coefficient to obtain third color data; and performing color correction on the source image according to the third color data. The present disclosure can finely adjust the image color while ensuring the original white balance effect.

A color display system for providing a virtual harmony evaluation between objects. A virtual harmony visualization may depict a digital representation of particular coatings applied to particular objects and may be based on selections made by a viewer. The particular coatings and particular objects may be defined by color data including attributes of a coating and spatial orientation data including attributes of a three-dimensional object. The digital representation of the virtual harmony visualization may also be based on attributes of a selected light source and / or predicted weathering which modifies the color data or the appearance of the coatings in the virtual harmony visualization.

The invention provides a yarn color prediction method and system based on multi-modal learning, and belongs to the technical field of textile printing and dyeing, and the method comprises the steps: firstly, comprehensively collecting blended cotton fiber data, process parameters, fiber color data, yarn appearance images and color data in yarn production, and carrying out the alignment, cleaning and normalization preprocessing of the data; then, a color prediction network composed of a feature extraction module, a compensation fusion module and an output module is constructed, after main modal feature extraction and preliminary prediction are completed through 1D-CNN, auxiliary modal features are extracted with the help of VGG16, and correlation is calculated through the compensation fusion module to achieve compensation for preliminary prediction; and finally, selecting a CIEDE2000 chromatic aberration formula as a loss function, and optimizing model parameters in combination with an Adam optimizer. According to the method, by means of fusion of multi-modal data, a unique fusion compensation strategy and a self-adaptive complementary fusion mechanism, the precision, accuracy and stability of yarn color prediction are remarkably improved, and a more reliable technical scheme is provided for color prediction of colored spun yarns in the textile printing and dyeing industry.

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

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

The invention discloses a visual indoor decoration engineering online design system and method, and relates to the technical field of building and indoor design, a scheme display module displays a to-be-optimized design scheme by using a visual function of decoration effect picture design software, and a user can perform interactive viewing and editing after logging in; the satisfaction investigation module judges whether a design effect difference evaluation instruction is sent or not according to the user evaluation satisfaction Dmy, and collects user feedback data to construct opinion feedback information; the data acquisition module is used for acquiring furniture layout, material use and color data of the design scheme to be optimized by utilizing a modeling parameter retrieval function based on the difference evaluation instruction; the effect difference evaluation module is used for comparing the user feedback data information with related layout information data, related material information data and related color information data, and fitting to obtain a design effect difference evaluation index Zcy; the optimization design module compares the data with a preset threshold value Y and judges whether redesign is needed or not.

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

The invention discloses a high-power LED color output control system and method, and belongs to the technical field of LED control. After first color data of an LED light color developing image and second color data of an LED irradiation area image are obtained, the first color data are compared with first expected color data to obtain a first deviation result; comparing the first color data with the second expected color data to obtain a second deviation result, comparing the first color data with the second color data to obtain a third deviation result, carrying out primary correction on the first expected color data according to the second deviation result and the third deviation result, and then carrying out secondary correction according to the first deviation result to obtain a correction result; the corrected first expected color data are obtained, the corrected first expected color data are used as setting parameters of the LED equipment, and the accuracy of the color output effect is improved.

A spatial illumination or lighting system based on a light color target has a control device and an actuating device, wherein the control device is configured to interact with a user and communicates with the actuating device, the control device receives identity identification information about the illuminated object input by the user, detects real-time light color data of the object and feeds the detection result back to the user, and sends the identity identification information about the object, the detection result and the light color target to the actuating device. The actuating device is arranged in the space or place, configured to communicate with the control device and implement lighting for the illuminated object: it receives the identification information, the detection result and the light color target of the object, calculates a comprehensive adjustment parameter corresponding to the object, and illuminates the object to achieve the desired light color target.

The invention discloses a coloring method based on an AI image processing algorithm, and relates to the technical field of artificial intelligence, the method can speculate the original color Cp (Si) of a faded area through the combination of a color attenuation model and a historical color database Hd, the speculated color is subjected to historical correction, and a historical color correction result Ch (Si) consistent with a historical style is obtained. On the basis, the surface light reflection characteristic is combined, painting simulation is carried out on the mural, fine adjustment of illumination and materials is further carried out through an illumination model L and a material optimization function M, and a final painting result Tz (Si) is generated. Through multi-dimensional optimization, it can be guaranteed that the painting effect is kept consistent under different light rays and angles, the painting effect can be highly matched with the surface material of the mural, and finally it is guaranteed that the painting restoration result reaches the preset quality standard through multiple times of evaluation and adjustment.

Disclosed is an imaging system with image sensor and processor(s). The image sensor has a plurality of photo-sensitive cells and a colour filter array. The processor(s) is configured to read out unprocessed colour data from those photo-sensitive cells that correspond to the colour filters of the at least three different colours; generate coarse depth data by processing data read out from at least one of: those photo-sensitive cells that correspond to the colour filters that allow the at least one infrared wavelength to pass through the PDAF photo-sensitive cells; perform interpolation and demosaicking on the unprocessed colour data and the coarse depth data, using at least one neural network, to generate a full-resolution colour data and a full-resolution depth data; and reproject the full-resolution colour data from a given camera pose to a given eye pose of a user, by utilising the full-resolution depth data.