60 results about "Local color" patented technology

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 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 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 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.

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 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 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 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.

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.

The invention relates to the technical field of image processing, and provides a packaging film material pattern printing inspection and color matching optimization system based on machine vision, which comprises the following steps: acquiring a printing pattern electronic plate and a plurality of printing images of different color matching schemes of a printing pattern under multiple light sources and multiple view fields; obtaining a standard value of each color in the printing pattern and a plurality of color areas; acquiring a color difference distribution image of each printing image; the deviation weight of each position in each printing image is obtained; obtaining the local color contrast of each closed area of each printing image; obtaining the area expressive force of each closed area of each printing image; obtaining the comprehensive expressive force of each position in each printing image; and constructing an illumination influence distribution diagram of each color matching scheme of the printing pattern, and screening to obtain an optimal color matching scheme. The invention aims to solve the problem that the overall harmony performance of a packaging pattern is influenced by chromatic aberration caused by illumination difference in the actual printing process of a packaging film material.

The invention discloses a visual experience optimization method for screen dynamic content feature extraction and background light response, which belongs to the technical field of liquid crystal display, and comprises the following steps: S10: obtaining screen content of display equipment, the screen content comprising color distribution and movement speed; s20, color distribution is distinguished, and distinguishing comprises the steps that a local color matrix of 8 * 8 grids is constructed, and the dynamic range of the color of each grid is calculated; s30, motion features are obtained based on the motion speed, the motion features comprise the pixel displacement speed of each grid, and a high-speed motion area is recognized according to the obtained pixel displacement speed. According to the invention, through closed-loop optimization of content awareness and dynamic dimming, energy conservation is realized while the visual comfort is improved, the visual experience is optimized, and a new backlight control solution is provided for the display industry.

This invention discloses a method, device, electronic equipment, and product for monitoring the implementation of land spatial planning, relating to the field of image classification technology. The method includes acquiring aerial images of the target area of ​​the approved plan; extracting SIFT features from the aerial images and local color features of the neighborhood of each feature point in the SIFT features; fusing the SIFT features with the local color features of the neighborhood of each feature point in the SIFT features to obtain a first fused feature; extracting global color features from the aerial images; fusing the first fused feature with the global color features to obtain a second fused feature; and using the second fused feature as input to a pre-trained classification model to obtain the land use type of the target area, so as to monitor the implementation of land spatial planning in the target area based on the land use type. This invention can automatically and dynamically monitor the implementation of land spatial planning in real time, saving human resources.

The invention provides an amphibious three-dimensional model seam color transition method based on surface primitive Poisson fusion, and relates to the field of data processing. According to the method, after three-dimensional models of a water area and a land area are geometrically fused, water area pseudo-color textures are constructed based on water depth information, land area real image textures are obtained, a water and land boundary line is extracted through unified topology analysis, and a plane primitive buffer area is constructed around the boundary line; local color change constraints of a water area and a land area are introduced into a buffer area, a guiding gradient field is constructed, then a Poisson fusion model is established based on a surface primitive topological relation, surface primitive colors are solved in a unified mode under boundary color constraints, and continuous transition and visual consistent fusion of texture colors of a water and land joint area is achieved. By implementing the technical scheme provided by the invention, the color transition quality of a large-range land and water joint area can be effectively improved.

The embodiment of the present disclosure relates to an image processing method and device, electronic equipment and storage medium, and relates to the technical field of images. The image processing method comprises the following steps: acquiring a to-be-processed image, and dividing the to-be-processed image to obtain a plurality of image blocks; acquiring color temperature information of each image block, and determining local color temperature information of each image block through a color sensor array; determining target color temperature information of each image block according to the color temperature information and the local color temperature information, and acquiring a color correction gain matrix of the target color temperature information; processing color information of the image block according to the color correction gain matrix, acquiring target color information of the image block, and generating a target image corresponding to the to-be-processed image. The technical solution in the embodiment of the present disclosure can improve the accuracy of color correction.

A method for generating an image from an encoding of a source image of a projection onto a part of a three-dimensional scene is disclosed. The pixels of the source image comprise depth and color attributes. The pixels of the source image are unprojected into a colored point cloud. The unprojected points in the 3D space have the color attributes of the pixels that were unprojected. Furthermore, a score is attributed to the points according to the local depth gradient and / or the local color gradient of the pixels from which the generated points come, the lower the gradient, the higher the score. In a second step, the generated point cloud is captured by a virtual camera for rendering on a display device. The point cloud is projected onto a viewport image by blending the colors of the points projected onto the same pixel, the blending being weighted by the scores of these points.

The invention provides a tone and curve evaluation method and device, equipment and a medium, and the method comprises the steps: intercepting a local region with a point selected by a user as a center from an original image, and loading associated DNG metadata to obtain white balance and exposure parameters; and performing complete image pipeline processing including white balance correction, exposure adjustment and color space conversion on the local image data to generate RGB data strictly aligned with the final display effect. Performing parallel mapping on the data by using a pre-generated hue and curve lookup table to respectively obtain hue and curve image buffer areas; and performing box type filtering noise reduction on the two buffer areas, calculating an average value of each channel, and applying a weighted average strategy endowed with a weight to obtain a comprehensive numerical value which is more in line with visual perception of human eyes. And normalizing the two weighted average values, and outputting a final hue evaluation value and a curve evaluation value. Compared with the prior art, the accuracy of local color information extraction and the consistency with visual perception are improved.

The invention relates to an image processing method, scanning equipment and a storage medium, and the method comprises the steps: carrying out the global scanning of a scanned object, obtaining a global point cloud, and constructing a grid model of the scanned object through the global point cloud; collecting a first local color image of a local area of the scanned object; displaying the first local color image on the local area corresponding to the grid model; receiving a shooting instruction; in response to the shooting instruction, a second local color image corresponding to the local area is collected, and the resolution ratio of the first local color image is lower than that of the second local color image. The method can give consideration to both the image acquisition efficiency and the image precision.

The invention relates to the technical field of video coding, in particular to a color gamut mapping and coding collaborative optimization method for an R scene, which comprises the following steps of: constructing a dynamic color gamut perception model, and generating a local color gamut mapping function adaptive to a current scene; executing preliminary color gamut mapping; extracting chromaticity gradient, saturation change rate and spatial frequency characteristics to construct a chromaticity distortion sensitivity graph; embedding the graph into an encoder rate distortion optimization module, and dynamically adjusting quantization parameters and conversion unit division; performing compression by adopting a standard coding framework; and iteratively optimizing the color gamut mapping function through a coding distortion feedback channel. According to the method, the color fidelity and the compression efficiency are remarkably improved, the average CIEDE2000 color difference is reduced by 32% under the same code rate, and multi-terminal heterogeneous display adaptation is supported.

The invention discloses a method for finely adjusting the chromatic aberration of adjacent pictures in a text H5 scene, which belongs to the technical field of image processing and comprises the following steps of: S1, inputting and analyzing characteristics; s2, global style coordination; s3, partition parameters are generated; s4, pre-adjusting the overall color; s5, aligning and correcting local contents; and step S6: edge fusion and output: through automatic processing, picture colors are coordinated, local chromatic aberration is eliminated and smooth fusion is realized, so that the problem of visual fracture caused by color deviation in the background technology is effectively solved, and the method has the advantages of effectively eliminating color deviation between adjacent pictures, ensuring color coordination and consistency of an overlapping region, avoiding a visual fracture phenomenon and improving the image quality. And therefore, the overall aesthetic feeling of the H5 page synthetic picture and the user experience are improved.

This invention relates to the field of 3D scanning technology and discloses a binocular 3D scanning system and method with texture mapping functionality. The system comprises five modules: depth data acquisition, depth data correction, point cloud topology construction, texture mapping engine, and texture optimization. The depth data acquisition module simultaneously acquires the left and right views of a target object using a binocular camera array, generating a raw depth image dataset. The depth data correction module performs outlier detection on the raw depth data, extracts discrete distributions through boundary aggregation analysis, and replaces outliers. The point cloud topology construction module generates a 3D point cloud spatial topology structure and associates point cloud coordinates with the pixel positions of the left view. The texture mapping engine module projects the RGB data of the left view onto the point cloud to generate an initial texture map. The texture optimization module verifies local color consistency using a generative adversarial network and outputs an optimized 3D texture model. This system improves the texture accuracy and realism of the 3D model.

The utility model relates to a toy coloring technical field, concretely is a kind of model local coloring structure.A kind of model local coloring structure, comprising: rack;Bearing bin, the bearing bin is set on rack;Net rack, the net rack is placed in bearing bin;The model to be colored, the model is placed on net rack;Negative pressure component, the negative pressure component is set on rack, for the negative pressure airflow of inflating to bearing bin inside.This utility model's beneficial effects are as follows: the coloring structure of the utility model makes heat shrinkable film closely adhere to model surface by negative pressure component, then utilizes hot air gun heating to make heat shrinkable film contract according to model profile and wrap, without the special baffle of customizing for each model, reduce production preparation time and cost, applicable to the spraying demand of complex special-shaped model, secondly, heat shrinkable film can firmly wrap model under the action of negative pressure and hot air, ensure that model is stable and does not shift in coloring process, to improve the stability of spraying and product quality.

The application discloses a kind of camera color consistency calibration methods based on machine vision, it is related to computer vision field, including, the original RAW format image data of current scene is collected, and according to the pixel distribution of original RAW format image data, construct two-dimensional pixel coordinate matrix;Sinusoidal position coding processing is carried out to two-dimensional pixel coordinate matrix, and the coding feature map of the position change law of the characteristic of pixel space position relationship and position is obtained;Coding feature map and original RAW format image data are fused with pixel alignment, and position constraint fusion feature is obtained, and position constraint fusion feature is input into pixel-level space color response analysis network, and the spatial non-uniform color response feature in original RAW format image data is extracted, and the correction gain coefficient matrix corresponding to each pixel is obtained.The application realizes the fine modeling of pixel space position and response non-uniformity, and eliminates the local color deviation of wide dynamic scene.

The application belongs to the technical field of image processing, and particularly relates to an image color cast grading method and device, a computer readable storage medium and a terminal device. The method comprises the following steps: obtaining a target image to be processed; extracting each local color cast reference image in the target image; wherein each local color cast reference image is an image of a specified reference object; extracting a global color cast reference image in the target image; wherein the global color cast reference image is an image of a global pixel block; extracting color cast features of each local color cast reference image and the global color cast reference image respectively; and determining a color cast level of the target image according to the color cast features. According to the application, the color cast features of the local color cast reference image and the global color cast reference image containing the specified reference object in the image can be used to determine the color cast rating of the image, so that the local color cast information and the global color cast information of the image can be fully utilized, and the severity of the color cast of the image can be more comprehensively and accurately evaluated.