12 results about "Local color" patented technology

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.

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 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.

This application provides a method for extracting the foreground edge of a green screen based on edge sharpening processing. First, the original image is acquired and the background and foreground are determined, generating a first mask for initial separation. Edge regions are marked and assigned affixation labels based on the first mask, and color gradient changes and consistency features are calculated to provide a basis for identifying abnormal pixels. An abnormal pixel set is formed by filtering edge pixels under dual conditions to determine the correction target. Reference pixels are filtered based on spatial distance and texture matching, and weighted correction weights are determined to provide an accurate basis for filling. Abnormal pixels are filled using the local color mean and weighted weights to generate a second mask, forming a mask with higher color consistency. The second mask is fused with the target virtual background image; if the boundary gradient change exceeds the limit, feathering is used to eliminate boundary abrupt changes. Finally, the fused image is verified; if continuity is not met, neighborhood interpolation is used for adjustment, and the final image is output, repairing local anomalies and completing the background replacement loop.

The application discloses an anodized surface color difference detection system for an aluminum alloy mobile phone outer frame, relates to the technical field of mobile phone outer frame detection, and obtains three-dimensional appearance data of the outer frame and extracts curvature distribution parameters, and constructs a local observation path; directional multi-light source scanning is carried out based on the path, a multi-angle reflection spectrum sequence is obtained, and spectrum gradient features are extracted; the reflection spectrum is mapped to a color space, and a chroma field matrix is constructed in combination with the curvature distribution parameters; through the introduction of a structure tensor of the curvature distribution parameters and a direction promotion space, direction consistency analysis is carried out, a main direction vector is obtained, and a first-order variation of color difference is calculated; threshold adaptive correction is carried out in combination with the curvature distribution parameters and reflection anisotropy features, a local color difference index is obtained, and a defect position is matched and output in combination with a process-related criterion. The application can realize high-precision detection of color difference in a micro area of a complex curved surface, and has high accuracy and stability.

The application relates to the technical field of image processing, and discloses a packaging film pattern printing inspection and color matching optimization system based on machine vision, which comprises the following steps: acquiring an electronic version of a printing pattern and a plurality of printing images of different color matching schemes of the printing pattern under a multi-light-source multi-view field; acquiring standard values of colors in the printing pattern and a plurality of color regions; acquiring a color difference distribution image of each printing image; acquiring a deviation weight of each position in each printing image; obtaining local color contrast of each closed region of each printing image; acquiring region expressiveness of each closed region of each printing image; obtaining comprehensive expressiveness of each position in each printing image; constructing an illumination influence distribution map of each color matching scheme of the printing pattern, and then screening an optimal color matching scheme. The application aims to solve the problem that color difference caused by illumination difference in the actual printing process of the packaging film material affects the overall coordination of the packaging pattern.

The application discloses a shrink film and a preparation method thereof, and relates to the technical field of shrink films. The shrink film comprises a plurality of first polyethylene layers, a first ethylene / vinyl acetate layer arranged on the polyethylene layer, a polyvinylidene chloride layer arranged on the first ethylene / vinyl acetate layer away from the polyethylene layer, a second ethylene / vinyl acetate layer arranged on the polyvinylidene chloride layer away from the first ethylene / vinyl acetate layer, and a mixed functional layer arranged on the second ethylene / vinyl acetate layer away from the polyvinylidene chloride layer. The application solves the problem that the blue compensation scheme in the prior art is mostly added by manual experience, cannot be dynamically adjusted in real time according to the color change of the film body, is prone to cause local color difference, transparency fluctuation and haze increase, and is difficult to meet the requirements of high-end transparent packaging on color consistency and optical stability.

A video colorization method based on semantic correspondence and alignment is proposed, constructing a video colorization model SCAColor. This model includes a semantic correspondence pre-colorization subnet, a bidirectional optical flow-guided semantic alignment subnet, and a color refinement subnet. The semantic correspondence pre-colorization subnet learns the semantic association between grayscale frames and reference frames to generate preliminary colorization results and a semantic similarity map. The bidirectional optical flow-guided semantic alignment subnet incorporates the colorization result of the previous frame and the true color value of the current frame, correcting feature biases while enhancing temporal consistency. The color refinement subnet further optimizes local colors and outputs the final colorization result. Extensive experimental results on public benchmark datasets demonstrate that the video colorization method based on the video colorization model can achieve reasonable colorization of videos with natural and rich colors and smooth inter-frame transitions, effectively avoiding color bleeding and exhibiting good network robustness.

This application relates to a display color management method and system based on federated learning and digital twins. The method includes: collecting local color performance data from multiple medical display nodes to train a color prediction model and obtain local model update parameters; aggregating the encrypted local model parameters using a federated learning server to generate a global optimization model; constructing and maintaining a digital twin for each medical display node using a digital twin platform, driving the digital twin to predict future color drift trajectories based on the global optimization model and real-time ambient light data, and generating a predictive calibration instruction when the prediction result exceeds a preset tolerance; executing the predictive calibration instruction to calibrate the target display, acquiring key target data and generating a data fingerprint, and uploading the transaction record containing the data fingerprint to the blockchain by calling a blockchain smart contract. This application achieves predictive calibration, ensuring color consistency of medical displays.

The application discloses a color-changing chest card for representing observation time length based on color change, and relates to the technical field of medical auxiliary devices. The color gradient of the color-developing coating intuitively reflects the observation time, and medical staff do not need to rely on timing tools or manual recording, but can quickly judge whether the observation time length of a patient meets the standard through visual observation, thereby greatly improving the efficiency and accuracy of observation monitoring. The opening area of the oxygen release hole is adjusted through a rotating disc, the oxygen release rate can be accurately controlled, the needs of different observation time lengths can be met, and the adaptability is high. The sealing cavity effectively isolates external environmental interference, the annular porous color-developing agent carrier ensures that the color-developing reaction is uniform and stable, the problem of local uneven color is avoided, and the color-developing result is more reliable. The application replaces the traditional manual timing and recording and checking links, reduces the probability of human errors, and helps improve the operation efficiency of medical places.