84 results about "Local color" patented technology

The invention relates to the technical field of three-dimensional scanning, and discloses a binocular three-dimensional scanning system and method with a texture mapping function. The system comprises a depth data acquisition module, a depth data correction module, a point cloud topology construction module, a texture mapping engine module and a mapping optimization module. The depth data acquisition module synchronously acquires a left view and a right view of a target object through a binocular camera array, and generates an original depth image data set; the depth data correction module performs abnormal value detection on the original depth data, extracts discrete distribution through aggregation boundary analysis and replaces abnormal values; the point cloud topology construction module generates a three-dimensional point cloud spatial topology structure, and associates point cloud coordinates with left view pixel positions; the texture mapping engine module projects left view RGB data to the point cloud to generate an initial texture map; and the mapping optimization module verifies the local color consistency through the generative adversarial network, and outputs an optimized three-dimensional texture model. The system improves the texture precision and authenticity of the three-dimensional model.

The invention provides a multi-agent collaborative visual completion method and system based on semantic communication, and the method comprises the steps: a first agent collects an occluded overall original image through a visual sensor, generates an occluded region mask through a lightweight semantic segmentation network, extracts mask semantic information, and transmits the mask semantic information to a second agent; the second intelligent agent matches the global semantic feature of the second intelligent agent with the received mask semantic information, locates a sheltered area, then cuts the sheltered area to obtain a semantic feature vector of the area, and returns the semantic feature vector to the first intelligent agent; and after the first intelligent agent receives the image, performing high-fidelity reconstruction on the occlusion area by using a conditional diffusion model to obtain a complemented image with consistent semantics, and performing weighted fusion and local color matching and splicing on the complemented image and the original image to obtain a global perception result. According to the scheme, perceptual information sharing and occlusion area reconstruction with low bit rate, high robustness and high real-time performance can be realized under limited communication resources.

The invention relates to the technical field of defect detection, in particular to a chip defect detection method and system based on a Gaussian attention mechanism, and the method comprises the steps: collecting a chip image, carrying out the preprocessing of the collected chip image, marking a defect region in the chip image, and generating a binary mask image reflecting the defect distribution; based on the binary mask image, combining distance transformation and local color change analysis to generate a Gaussian attention channel; connecting the Gaussian attention channel with the chip image in the channel dimension to generate an enhanced image; and executing a defect detection algorithm based on the enhanced image, and identifying a defect region in the chip image. According to the method, the sensitivity of the detection system to tiny and low-contrast defects can be improved, so that the false alarm rate is reduced, and meanwhile, the defect detection precision is effectively improved on the premise that the calculation complexity is not greatly increased.

The invention belongs to the technical field of printing, and particularly relates to a printing ink color real-time calibration method and system based on dynamic color gamut mapping, high-frequency online monitoring is achieved by constructing a local color gamut contour and arranging a multispectral sensing array, and the change trend can be captured at the initial stage of color shift; a stable color block recognition and local weighted mapping updating mechanism is combined, an updated lookup table is dynamically generated, and correction is prevented from being triggered by dependence on significant offset; further, according to the response relationship between the color offset direction and the printing parameters, the adjustment of the ink key opening and the printing pressure is implemented in stages, the offset source is inhibited from the physical level, the mapping adjustment is started when the color difference does not exceed the limit, the equipment parameter fine adjustment is synchronously driven, the response time is remarkably shortened, the generation of out-of-tolerance products is reduced, and the product quality is improved. And the real-time performance and the stability of color control are improved.

The invention discloses a chromaticity automatic gain control method and device for a composite video signal, and belongs to the technical field of signal processing, and the method comprises the steps: obtaining a chromaticity signal adjusted by a historical chromaticity gain parameter, and demodulating the chromaticity signal from the chromaticity signal to obtain a chromaticity component reference value of a color synchronization signal; calculating an actual color synchronization level and a phase deviation between an input color subcarrier and a local color subcarrier according to the color difference component reference value; in response to the chroma phase deviation meeting a preset chroma phase locking condition, generating a chroma phase locking identifier, and calculating a chroma gain error according to the actual color synchronization level; and determining a chrominance gain control stable identifier according to the chrominance gain error, and determining an output chrominance gain parameter based on the chrominance gain control stable identifier, the chrominance phase locking identifier and the chrominance gain error so as to dynamically adjust the next line of gain through closed-loop control. According to the invention, the influence of long-distance cable transmission on the composite video chrominance signal can be reduced, and the chrominance difference of different transmission distances is reduced.

The invention discloses an intelligent dot matrix electronic display screen control system, relates to the technical field of electronic display screens, and solves the technical problems that color adjustment and brightness adjustment are inaccurate and are difficult to adapt to different scene requirements. Duty ratio adjustment for limiting a brightness change threshold value is adopted for a low-gray-scale area, the jump problem caused by traditional linear distribution is avoided, dark part details are displayed more smoothly, different reasons such as overall color cast, local color cast and dynamic content color cast are distinguished through a color adjustment control unit, a differential adjustment strategy is adopted, the color rendition degree is improved, and the color rendition effect is improved. According to the method, pixel-level partition detection is adopted, abnormal pixels are accurately screened, a compensation coefficient is calculated, the problem of local brightness deviation is solved, a thermal attenuation coefficient is introduced in combination with the relation between temperature and brightness, the compensation coefficient is dynamically corrected, and the brightness uniformity error in a high-temperature environment is reduced.

The invention provides a tomato leaf health status assessment system and method, and relates to the technical field of tomato leaf health assessment, and the method specifically comprises the steps: firstly, carrying out the preprocessing of a tomato leaf image, converting the image into a Lab color space, and carrying out the segmentation and extraction of a leaf region based on a chromaticity threshold value; and then leaf area chromaticity channel statistical magnitude is counted, pixel-level anomaly detection is carried out through an adaptive threshold value, and an abnormal area mask and a normal area mask are generated. Performing connected domain analysis on the abnormal region, extracting local color and texture features, and extracting corresponding features of the normal region as a reference; the health deviation degree is obtained by calculating the feature distance between each abnormal region and the normal region, and the comprehensive health assessment index is generated by combining the area proportion of the abnormal regions after normalization. And finally, judging a health state according to a preset threshold rule and outputting an evaluation result. According to the invention, a comprehensive and accurate decision basis is provided for agricultural producers, and the automation level and evaluation accuracy of tomato disease monitoring are improved.

The invention provides a point cloud registration method and system based on color enhanced geometric information, relates to the technical field of computer vision processing, and solves the problem that an existing point cloud registration mode is poor in registration effect and easy to lose efficacy in a weak feature scene. The method comprises the following steps: acquiring key points of a source point cloud and a target point cloud, using an average color value as a color information reference, and acquiring a local color geometric feature CGD of each key point; the global distance distribution feature similarity between corresponding key points in the source point cloud and the target point cloud is preliminarily determined, then correct corresponding matching point pairs are obtained, and a transfer quantity matrix equation is constructed; and obtaining a transfer quantity after solving, constructing a transfer matrix based on the transfer quantity, updating the target point cloud, and completing registration of the source point cloud and the target point cloud after multiple iterations until the transfer quantity converges. According to the method, colors, local geometric information and global distribution features are combined, and a good registration result can be obtained even under the condition that the geometric features are weak.

The invention discloses an image processing method, a color picking device and a storage medium, and relates to the technical field of image processing, and the disclosed image processing method comprises the steps: obtaining a to-be-processed image, and dividing the to-be-processed image into a plurality of sub-processed images; determining a white balance parameter corresponding to each sub-processed image; according to the brightness of each sub-processing image, carrying out differential processing on the white balance parameter corresponding to the corresponding sub-processing image; and carrying out white balance adjustment on colors corresponding to the sub-processed images sent to the display equipment based on the white balance parameters after differential processing. The technical problem of low image processing quality caused by the phenomena of local color cast and detail missing of the image when a global white balance parameter is adopted for adjustment of the existing image is solved, local color cast of the whole image can be eliminated through the technical scheme, meanwhile, image details are reserved, and the image processing quality is improved.

The invention discloses an abnormal state identification method, system and device based on local color area mutation, and belongs to the technical field of safety monitoring. The method comprises the following steps: extracting a detection frame from a video stream according to a preset unequally spaced frame sequence; positioning local key areas (such as shoulders) of the body of the target constructor in the detection frame; in the region, extracting a maximum aggregation connected domain of target safe color pixels through color analysis, and calculating the area of the maximum aggregation connected domain; and comparing the ratio of the area to the total pixel area of the detection frame with a fixed preset threshold value, and if the ratio exceeds the threshold value, judging that an abnormal state exists and triggering an alarm. According to the method, the local color area mutation is taken as an agent index, a fixed parameter strategy is combined, the problems of large calculation amount, easy environmental interference and complex deployment in the prior art are solved, and the method has the advantages of low calculation cost, strong robustness, fast identification response and easy deployment.

The invention relates to the technical field of display screen color correction, and provides a film and television shooting LED display screen color correction method and system, and the method comprises the steps: obtaining a real-time video stream from a camera; generating color priority region identification information based on the real-time video stream; setting a corresponding target reference color for the identified color priority area; acquiring pixel data of the color priority area from the real-time video stream according to the color priority area identification information; comparing the pixel data of the color priority area with a target reference color to obtain a color deviation; generating a local color compensation scheme according to the color deviation; performing color transition processing on the non-priority area by using a local color compensation scheme to obtain an input signal sent to the LED display screen; and applying the local color compensation scheme to an input signal in real time so as to realize color correction of the LED display screen. The method has the advantages that the picture reality sense and the manufacturing efficiency are improved.

1. The name of the design product: local color chip combination on color chip disc. 2. The use of the design product: color chip combination is pasted on color chip disc, used for changing the color of light passing through it; color chip disc can be rotated in the interior of lamp, used for changing the color of light on the main light path of lamp. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view 1. 5. The design product is thin, omitting the left view; the design product is thin, omitting the right view; the design product is thin, omitting the top view; the design product is thin, omitting the bottom view. 6. Other circumstances that need to be explained: the gray part in the view is not the part to be protected, and the colored part (not including color) is the part to be protected.

This invention discloses an underwater image enhancement method and apparatus based on color perception fusion attention and background light removal contrast learning. The method includes: extracting color information from the original underwater image using a designed color extraction module; inputting the color information into a local color recovery branch to obtain reasonably distributed color weight information; passing the original underwater image through a triple attention branch to restore details and blur information in the image, obtaining an underwater enhanced image rich in detail and texture information; inputting the reasonably distributed color weight information and the underwater enhanced image rich in detail and texture information into a global light recovery branch, and using a contrast learning strategy to adjust the global light characteristics of the underwater image, finally obtaining the restored underwater image enhancement result. This invention can effectively improve the enhancement performance in underwater scenes, while eliminating the degradation effect of complex underwater environments on images, and realistically restoring the color and texture details of the image.

Embodiments of the present application provide an image processing method and device and electronic equipment, and relate to the technical field of image processing. An image to be processed is obtained. The color cast intensity of the image to be processed is determined according to the distribution of specified pixel values of each pixel point in the image to be processed. If the color cast intensity meets a preset color cast requirement, the color cast type of the image to be processed is determined, and the color cast direction of the image to be processed is determined based on the distribution. The color cast type includes global color cast or local color cast. A color cast correction strategy matched with the color cast type and the color cast direction is used to perform color cast correction on the image to be processed to obtain a target image. Compared with related technologies, the scheme provided in the embodiments of the present application can improve the image processing efficiency.

The invention provides a general plane graph color migration method and system based on a depth diffusion model, and the method comprises the following steps: (1) carrying out the semantic segmentation of a black and white general plane line draft graph, and generating a semantic mask graph; (2) extracting global style features of the color general plane reference image and local color distribution features of different semantic regions; (3) inputting color features of the line draft image, the semantic mask image and the reference image into a depth diffusion model, restraining the structure of the generated image to be consistent with that of the line draft through a ControlNet module, and migrating the color features of the reference image to a corresponding position of the line draft according to a semantic region through a region perception attention mechanism; and (4) in the de-noising process of the diffusion model, combining the style consistency loss function and the regional color histogram matching loss to generate an image after color migration. According to the method, the color of the reference picture is migrated to the black-and-white line draft according to the semantic region, meanwhile, the line draft structure is kept complete, and the requirement for rapid personalized drawing can be met.

The application is suitable for the technical field of image processing, and provides an image local color adjustment method and device, electronic equipment and storage medium, the method comprises the following steps: converting a first to-be-adjusted image obtained from an RGB color space to an HSL color space, adjusting the local color of the first to-be-adjusted image in the HSL color space, obtaining a calibrated HSL lookup table according to a plurality of sets of adjustment values obtained after adjustment, calibrating a preset three-dimensional lookup table based on the calibrated HSL lookup table to obtain a calibrated three-dimensional lookup table, and adjusting the color of a second to-be-adjusted image according to the calibrated three-dimensional lookup table, so that the local color of the image is adjusted, and the quality of the whole image is improved.

The application discloses a kind of based on frequency domain perception and illumination self-adaptive unsupervised low-light image enhancement method, comprising: extracting the basic feature of low-light picture by basic feature encoder;The illumination feature of low-light picture is extracted by illumination feature encoder;By frequency domain feature extraction module, the frequency domain feature that is focused on detail texture is converted to basic feature;By color histogram feature extraction module, the local color feature of low-light picture is obtained;By illumination feature decoder, illumination information distribution is learned;By basic feature decoder, the detail texture information of enhanced picture is recovered.The application makes full use of the spatial basic feature and frequency domain detail feature of low-light image, while using adaptive convolution mechanism to learn the illumination condition of different regions, effectively improve the visual quality of enhanced picture.

This invention discloses a two-stage low-light image enhancement method and apparatus based on the HVI color space. The method includes: converting a low-light RGB image to the HVI color space to obtain a luminance feature map and a color feature map; performing global denoising on the luminance feature map and global denoising and global color correction on the color feature map through feature extraction and bidirectional interaction between features; performing local detail enhancement on the initially enhanced luminance feature map and local color correction on the initially enhanced color feature map through bidirectional interaction between features extraction and local features, obtaining fully enhanced luminance and color feature maps; and reconstructing the fully enhanced luminance and color feature maps into a low-light enhanced RGB image. This method achieves a dynamic balance between noise suppression and detail preservation, enhancing image texture, edges, and other minute structures while accurately repairing local color shifts and color overflow issues.

The invention provides a crystal grain detection method and device, electronic equipment and a storage medium. The crystal grain detection method comprises the following steps: performing down-sampling processing on a target image comprising a to-be-detected crystal grain to obtain a gray level distribution image corresponding to the target image; determining a color difference type corresponding to the target image based on the gray level fluctuation range of the gray level distribution image corresponding to the target image; when the color difference type corresponding to the target image is the overall color difference, adjusting the target image based on the reference image; when the color difference type corresponding to the target image is the local color difference, adjusting the target image based on the gray level distribution image and the reference image; and based on the adjusted target image and the reference image, determining whether the to-be-detected crystal grain has defects or not. According to the scheme, differential processing is carried out on the overall chromatic aberration and the local chromatic aberration, so that the adaptability of the scheme to an actual scene is higher, and the accuracy of defect detection on the to-be-detected crystal grains can be improved.

The present disclosure is directed, among other things, to automated systems and methods for analyzing, storing, and / or retrieving information associated with biological objects having irregular shapes. In some embodiments, the systems and methods partition an input image into a plurality of sub-regions based on localized colors, textures, and / or intensities in the input image, wherein each sub-region represents biologically meaningful data.

The application relates to an image processing method, a scanning device and a storage medium. The method is applied to a scanning device and comprises the following steps: performing global scanning on a scanned object to obtain a global point cloud, and constructing a mesh model of the scanned object by using the global point cloud; collecting a local point cloud and a first local color image of a local region of the scanned object; displaying the first local color image on the local region corresponding to the mesh model based on the registration relationship between the local point cloud and the global point cloud; and collecting a second local color image corresponding to the local region in response to a shooting instruction, wherein the resolution of the first local color image is lower than that of the second local color image. The above method can balance the image acquisition efficiency and image accuracy.

The present invention relates to the technical field of dyeing formula data processing, specifically a dye formula optimization method and system for a dispersed dark same-bath dyeing process, comprising: constructing a process formula data set, calculating dye mixture spectral data using the Beer-Lambert law, extracting and fusing features through a CNN and Transformer prediction method, and then calculating color difference. If the color difference exceeds a threshold, a genetic algorithm is used to optimize the dye ratio concentration. During the dyeing process, the dye bath fuzzy set is divided and fuzzy rules are set based on a fuzzy control model, and the real-time process parameter adjustment amount is calculated and optimized in combination with the membership degree. After dyeing is completed, process image data is collected, and the process color difference, maximum local color difference and color fastness are evaluated with the help of a computer vision model. If the evaluation result does not meet the standard, the dye ratio concentration and the real-time process parameter adjustment amount are adjusted to reduce the color difference in the dark sportswear dyeing process and improve the accuracy of the dye formula.

The present application belongs to the technical field of night rotating target detection, and particularly relates to a rotating target adaptive detection method for unmanned aerial vehicle night aerial photography scene. The present application constructs an end-to-end rotating target adaptive detection mechanism for unmanned aerial vehicle night aerial photography scene through the cooperative processing mode of image decomposition, illumination enhancement, color correction and rotating target detection, realizes effective enhancement and accurate extraction of vehicle target texture information, edge information and direction features in the night low-illumination environment, and through decomposition of night unmanned aerial vehicle aerial photography image into reflection component and illumination component, can perform targeted brightness enhancement on the low-illumination area on the basis of preserving the original structure texture of the vehicle, thereby reducing the influence of dark noise on the target feature extraction process, and through color correction processing on the reflection component, can effectively inhibit the color deviation and local color distortion problems caused by night complex artificial light source, and improve the color authenticity and structure consistency of the enhanced image.

The utility model relates to the technical field of real stone paint processing, and discloses an emulsifying device for processing cleanable real stone paint, which comprises a base, a control panel and a cleaning part, the control panel is fixedly mounted on one side of the base, and the cleaning part is arranged above the control panel. When the emulsifying device is used for mixing and emulsifying real stone paint, the cleaning liquid is sprayed out through the spray head through the pumping of the water pump, so that the purpose of cleaning and washing the interior of the emulsifying tank is achieved, and the residual real stone paint in the last production process can be thoroughly removed in cooperation with the functions of scraping the inner wall of the emulsifying tank and cleaning the interior of the emulsifying tank through the scraping plate; the residual stone-like paint is prevented from being mixed into a new production batch after being dried and hardened in the machine, the newly produced stone-like paint is ensured to be uniform in component and free of impurities, the quality defects of inconsistent local color, rough texture and the like of the new batch of stone-like paint caused by residual materials are avoided, each batch of stone-like paint can reach a higher quality standard, and the production efficiency is improved. And the product quality is more stable and reliable.

The invention relates to the technical field of projector color regulation and control, in particular to a color regulation and control method and system for a projector. The method comprises the steps of obtaining a projection parameter set and an environment static parameter set, analyzing the environment static parameter set based on the projection parameter set, and determining basic global color mapping data; acquiring an environment dynamic parameter set, analyzing the environment dynamic parameter set according to the basic global color mapping data, and determining local color dynamic regulation and control data; performing real-time regulation and control on the local projection material color according to the local color dynamic regulation and control data, performing dynamic smooth diffusion processing on the local projection material color, and determining color diffusion data; and according to the color diffusion data, updating the overall projection material color and the basic global color mapping data, and determining and outputting a color regulation and control report. According to the invention, accurate and natural adjustment of the color of the high-dynamic-range projection material in the fusion projection process under different environment conditions is realized.

The invention belongs to the technical field of image recognition, and particularly relates to a garbage classification method and system based on image enhancement, and the method comprises the steps: carrying out the preprocessing of an obtained garbage image, and sampling a reference region block according to a local color variance, so as to extract a reference color model and a reference texture model; calculating a color consistency index, a texture homology index and a structure regularity index of each pixel point; determining a self-adaptive color weight and a self-adaptive texture weight according to a color statistical characteristic and a texture distribution characteristic in the reference region block; and based on the self-adaptive color weight, the self-adaptive texture weight and a preset structure weight, carrying out weighted fusion on the three indexes to generate a material authenticity map. According to the method, the enhancement effect on the complex stained junk image can be remarkably improved by fusing the multi-dimensional features and adopting the self-adaptive weight.

This invention proposes a method and system for controlling the color gamut of a mobile phone screen. The method includes: collecting the spectral characteristics of ambient light and constructing a spectral matrix; constructing a dynamic reference color model based on the spectral matrix to generate a global color gamut adjustment matrix; dynamically adjusting the screen color gamut according to the global color gamut adjustment matrix; collecting the user's eye movement data in real time, constructing a gaze region, and performing regional color gamut optimization analysis by combining the gaze region with the dynamic reference color model; performing local compensation based on the optimization analysis results and the global color gamut to generate a final local color gamut matrix; reducing energy consumption in non-gaze regions and minimizing unnecessary color processing. This invention, by combining ambient spectral detection and eye-tracking technology, provides an intelligent and dynamic color gamut adaptive adjustment system, solving the shortcomings of existing technologies in terms of ambient light adaptability, color accuracy, and energy efficiency, and has significant innovation and practical value.

The invention relates to a decorative panel (1) comprising a transparent or translucent carrier (2) which, when installed as specified, defines a visible surface (5) facing an observer and a back surface (6) facing away from the observer, wherein one of the multiple surfaces of the visible surface (5) and the back surface (6) forms a three-dimensional surface profile (K) which can be described relative to a reference plane (E) by means of a height coordinate (h); and at least one effect layer (3) which is applied to the back surface (6) or the visible surface (5) of the carrier (2) and is formed such that the following applies to multiple positions of the effect layer (3): the local transmittance and / or local color value at the corresponding position of the effect layer (3) is related to the height coordinate (h) of the following point of the surface profile (K), the vertical projection of which onto the reference plane (E) coincides with the vertical projection of the corresponding position of the effect layer (3) onto the reference plane (E); and a related manufacturing method.

The invention relates to the technical field of dyeing characterization of surface functional layers of composite materials, in particular to a hydrophilic functional layer specific coloring agent and a preparation method and application thereof, and the hydrophilic functional layer specific coloring agent is composed of 0.01%-0.5% by mass of xanthene fluorescent dye, 0.1%-5% by mass of hydrophilic polymer additive and the balance of water. Wherein the xanthene fluorescent dye is 9-(2-carboxyl phenyl)-3, 6-bis (diethylamino) xanthyleione chloride, and the structural formula of the xanthene fluorescent dye is shown in the description. After a hydrophilic film is dyed by the specific dyeing agent for the hydrophilic functional layer, an extremely high color contrast can be presented between the hydrophilic functional layer and a base material layer, and the background is clean and clear. For the defects such as uneven coating, microcracks and pinholes which cannot be recognized by conventional visual observation and are in the order of nanometer to micrometer, the coloring agent can clearly expose the defects through the difference of local color depth or fluorescence intensity, and visual precision diagnosis of the quality of the hydrophilic functional layer is achieved.

The invention provides a compensation method and device for the image quality of a display terminal, equipment, a medium and a program product, and the method comprises the steps: firstly obtaining a target display image of the display terminal, then dividing the target display image into a plurality of image regions, and extracting the color features of each image region; according to the color features of the image areas, feature weights of multiple local colors of the target display image are determined, a preset initial display lookup table is adjusted according to the feature weights of the multiple local colors, and an image quality compensation display lookup table is obtained; and finally, performing image quality compensation on the target display image according to the image quality compensation display lookup table, thereby realizing real-time analysis on the display image of the display terminal, and adaptively adjusting contribution weights of different display lookup tables, so that the image quality compensation is more robust.