45 results about "Color mapping" patented technology

This invention provides an infrared thermal imaging method, relating to the field of infrared thermal imaging technology. The method utilizes a germanium infrared lens in an infrared thermal imaging system, whose surface is sequentially composed of subwavelength micro / nano structures and an anti-reflection film structure from the inside out. The infrared thermal imaging method includes: focusing target infrared radiation through the germanium infrared lens onto an infrared detection array; the infrared detection array converting the target infrared radiation into an electrical signal matrix; performing noise reduction and gain correction on the electrical signal matrix to obtain a preprocessed electrical signal matrix; performing temperature compensation on the preprocessed electrical signal matrix based on a temperature compensation formula and a transmittance temperature model to obtain a corrected signal matrix; and sequentially performing non-uniformity correction, image enhancement, and pseudo-color mapping on the corrected signal matrix before outputting and displaying the result. Using the method of this invention, higher transmittance, lower reflection loss, and more stable thermal imaging can be achieved.

The application relates to the technical field of intelligent water conservancy emergency monitoring and early warning, in particular to a finite element visualization method based on digital twinning. The method comprises the following steps: acquiring finite element data, wherein the finite element data comprises mesh structure data and field data; respectively analyzing the field characteristics and the mesh density characteristics in each analysis region according to the finite element data, and determining the corresponding visualization weight coefficients of the analysis regions; collecting visualization operation parameters, and analyzing the numerical gradient distribution law of the field data to determine the color mapping contribution coefficients of the analysis regions; combining the color mapping contribution coefficients and the visualization weight coefficients of the analysis regions to construct a visualization evaluation quantity; and solving the color mapping parameters, the visualization display mode and the camera posture parameters of the analysis regions according to the visualization evaluation quantity. The application can help reduce redundant calculation in the rendering process of large-scale finite element models, improve response speed and operation stability, and enhance overall interaction performance.

The application discloses an image processing method and device and a training method, relates to the field of image processing, and particularly relates to the fields of computer vision, deep learning and artificial intelligence. The specific implementation scheme is as follows: for each pixel point in a to-be-processed image, according to a first color value of the pixel point, a voxel index of the pixel point in a three-dimensional lookup table and a relative coordinate of the pixel point in a target voxel corresponding to the voxel index are determined; according to the voxel index, first color information of each vertex of the target voxel is acquired; a weight generation model obtained by joint training of the three-dimensional lookup table is used to determine a first weight of the vertex according to the relative coordinate; according to the first color information and the first weight, second color information of the pixel point after color mapping is determined; and a target image is generated according to the second color information of each pixel point.

This invention relates to the field of welding inspection technology, and specifically to a method and system for detecting welding defects. The method includes: acquiring a depth map of a workpiece weld; performing adaptive pseudo-color encoding on the depth map to obtain a pseudo-color image, wherein a lookup table is constructed based on the cumulative distribution function of the depth map, and depth values ​​are mapped to color values ​​through the lookup table; calculating pixel-level normal vectors based on the depth map, and performing illumination rendering on the pseudo-color image according to the pixel-level normal vectors to obtain a rendered image; inputting the rendered image into a defect detection network, and outputting defect detection results. This invention, by constructing a lookup table based on the cumulative distribution function of the depth map for adaptive pseudo-color encoding, can automatically adjust the color mapping relationship according to the actual depth distribution of each depth map, making different depth values ​​visually present a more uniform and obvious color difference, effectively improving the visual contrast and feature representation of the depth map.

This invention relates to a magnetic field visual fusion detection system and method for an unmanned aerial vehicle (UAV) platform, belonging to the field of airborne magnetic detection technology. It includes an UAV platform and its mounted magnetic detection module, camera equipment, data receiver, UAV remote controller, and connected ground control terminal. The ground control terminal is configured to receive flight data, detection data, and visual images. It performs interpolation and color mapping using an interpolation algorithm to generate a magnetic anomaly distribution map. Combining the field-of-view parameters of the camera equipment, it calculates the latitude and longitude coordinates corresponding to each pixel in the visual image, obtaining a visual image with latitude and longitude mapping. The magnetic anomaly distribution map and the visual image with latitude and longitude mapping are superimposed to generate a fused positioning map. This achieves synchronous acquisition and fusion processing of multi-source data, avoiding the system complexity and equipment redundancy caused by introducing an additional host computer, and improving the portability and on-site deployment efficiency of the magnetic detection module.

A method includes encoding a first message including first parameters for a first color transform that transforms a video signal into a first color-mapped video signal; encoding a second message including second parameters for a second color transform that transforms the video signal into a second color-mapped video signal; and encoding the video signal, the first message, and the second message in a video bitstream. A method includes decoding the video bitstream into the video signal, the first message including the first parameters, and the second message including the second parameters, and performing at least one of the following: displaying the video signal; transforming the video signal into the first color-mapped video signal by applying the first color transform and displaying the first color-mapped video signal; and transforming the video signal into the second color-mapped video signal by applying the second color transform and displaying the second color-mapped video signal.

This application provides an image processing method and related products. The image processing method includes: obtaining an algorithmic solution for each of a first batch of multiple computational points using an image processing algorithm; the computational points representing the corresponding positions of color groups of image pixels in a color mapping table; calculating interpolation solutions for one or more second batches of computational points between two adjacent computational points in the first batch of multiple computational points, the color mapping table representing the correspondence between the positions of color groups and the algorithmic or interpolation solutions of the computational points; and processing a digital image at least partially based on the interpolation solutions of the second batch of one or more computational points. This application can reduce the computational load of image processing algorithms and improve image processing speed.

The application discloses a geometric optical phenomenon restoration method based on a kernel density estimation algorithm, and relates to the technical field of three-dimensional optics, and comprises the following steps: projecting three-dimensional space discrete light ray hitting points to a two-dimensional plane through coordinate conversion; mapping continuous two-dimensional plane coordinates to pixel indexes through affine transformation to obtain a two-dimensional pixel grid; converting discrete points into continuous intensity distribution through a plurality of kernel function diffusion methods; performing nonlinear compression on the kernel function diffusion result through an inverse tangent function to obtain final intensity values; displaying the final intensity values through single-channel to RGB pseudo-color mapping; performing light ray tracing to construct a light ray refraction model; and performing light ray direction to imaging plane coordinate mapping based on the light ray refraction model and the pseudo-color mapping rule to obtain a data set; the smoothness and dynamic range of light ray density distribution are remarkably improved, and high-fidelity visualization of complex refraction phenomena is realized.

This disclosure provides a method, apparatus, storage medium, and electronic device for processing color mapping parameters, relating to the field of image processing technology. The method includes: acquiring a first sample image to be adjusted and a first label image after color adjustment of the first sample image to be adjusted; performing color mapping processing on the first sample image to be adjusted using color mapping parameters to be optimized, obtaining a first adjusted sample image; determining a first loss function value based on the first adjusted sample image and the first label image; and updating the color mapping parameters based on the first loss function value. This disclosure reduces labor costs and is beneficial for improving the quality of color mapping parameters.

The disclosure generally relates to a system for creating color-customizable customized beverages (e.g., adding various color ingredients to a beverage to customize the color of the beverage). The system may obtain color mappings (e.g., manual color mappings) that map particular color ingredients to particular colors. The system can generate a three-dimensional color map based on the color mappings to identify additional color mappings. The system can receive a request for a particular beverage with a particular color, and based on the three-dimensional color map, the system can identify a color mapping for the particular color. The system can output an instruction set for the color mapping and / or can cause an automated dispensing platform to dispense one or more particular color ingredients for the beverage based on the color mapping.

A method of generating a color mapping table for correcting color of a display panel, including: establishing a sampling point space, according to first color coordinates of a plurality of sampling points in a first color space; and performing steps of a preset processing on each of the plurality of sampling points, to obtain target color coordinates of the sampling point in the first color space, and generating the color mapping table according to the first color coordinates and the target color coordinates of the plurality of sampling points, where the steps of the preset processing on each of the plurality of sampling point include: taking the sampling point as a source sampling point, and determining a target sampling point corresponding to the source sampling point; and processing the target sampling point, to obtain the target color coordinates.

This invention provides a three-dimensional quantitative analysis and visualization method and system for aortic diameter expansion velocity based on longitudinal imaging data, applicable to the field of data processing. This application uses baseline and follow-up longitudinal aortic CTA images as the data source. Preprocessing includes spatial resampling and intensity normalization. The aortic lumen is extracted through medical image segmentation, and a voxel mask is generated. Then, the isosurface is reconstructed using the traveling cubes algorithm, and two sets of triangular surface mesh models are obtained through smoothing, cropping, repair, and remeshing. Using the baseline mesh as the source and the follow-up mesh as the target, topologically identical geometric matching is achieved through non-rigid registration. The centerline is extracted, and the point-by-point diameter is calculated. Combined with the follow-up time, three-dimensional quantitative data of the global diameter expansion velocity is obtained. Finally, multi-morphological visualization of expansion velocity and risk stratification is achieved through color mapping, 3D printing, and two-dimensional planar unfolding, constructing a complete three-dimensional quantitative analysis system for the aorta.

The application discloses a kind of laser radar point cloud prediction method and system based on Transformer, it is related to three-dimensional environment perception technical field.The method first converts distance image by spherical coordinate projection conversion for historical point cloud sequence with semantic label, and utilizes semantic embedding module to map discrete semantic label into high-dimensional continuous feature;Subsequently, the geometric feature and semantic feature are spliced in channel dimension, to form the integrated composite feature tensor;The tensor is input into the improved Transformer network for training, the network adopts encoder-double-branch attention-decoder architecture, and is supervised using the composite loss function combining geometric loss and semantic loss;Finally, the network synchronously outputs future distance image and semantic probability distribution, and generates future three-dimensional point cloud with semantic attributes through inverse projection and color mapping.The application significantly improves the modeling ability of the motion law of different categories of objects and the prediction accuracy in complex dynamic scenarios by explicitly integrating semantic information.

A method of simultaneously outputting a plurality of cavitation types on a digital image is provided. The method includes detecting acoustic emissions corresponding to the plurality of cavitation types, the plurality of cavitation types including at least some combination of linear scatter, stable cavitation, and inertial cavitation, generating, based on the acoustic emissions, a two-dimensional color map of the plurality of cavitation types on the digital image, the two-dimensional color map includes a first acoustic emission corresponding to linear scatter or stable cavitation and a second acoustic emission corresponding to linear scatter or inertial cavitation, and outputting on the digital image, displayed on the display of the computing device, the two-dimensional color map of the plurality of cavitation types.

The application relates to a residual breathing lamp method for new energy charging, and relates to the technical field of man-machine interaction of new energy vehicles, and comprises the following steps: S1, current power information and current charging mode information of a power battery are acquired in real time; and S2, target color parameters and reference brightness parameters are calculated based on the current power information through a preset color mapping model. According to the application, the power of 0%-100% is continuously and steplessly mapped into color gradation from red to green through a high-precision color mapping model, and 65536-order smooth color transition is realized by means of 16-bit PWM control technology, so that subtle power changes can also bring delicate and soft visual feedback. Meanwhile, the method integrates an adaptive intelligent adjustment function: the rhythm of the breathing effect dynamically changes according to different modes such as fast charging and slow charging, and the charging speed is vividly reflected; and the display brightness is automatically adjusted according to ambient light, so that the display is not dazzling in dark light and is clearly visible in strong light.

This invention relates to a method for evaluating the coating quality of a spraying robot based on laser point clouds, belonging to the field of coating quality inspection technology. The method includes the following steps: S1: Collecting baseline data before coating and target data after coating using a lidar sensor; S2: Performing time-series averaging on multiple consecutively collected point cloud frames before and after coating; S3: Constructing a triangular mesh model of the baseline surface before coating using the Delaunay triangulation method; S4: Calculating the minimum vertical distance from the point cloud to the triangular mesh to quantize the thickness; S5: Using a multi-filtering process to remove noise and outliers; S6: Generating a coating thickness heatmap based on thickness statistics and color mapping.

The present application relates to the technical field of three-dimensional geological modeling, and particularly relates to a three-dimensional geological model data set generation method, comprising: discretizing a geological space that needs to be simulated, determining a three-dimensional grid system that conforms to a preset rule, constructing a three-dimensional geological curved surface grid that controls stratum distribution and geological body boundaries, assigning geological attributes by traversing each voxel in the three-dimensional geological curved surface grid, obtaining a three-dimensional data body in which each voxel has a geological identifier, performing stratum color mapping on the three-dimensional data body, and selecting a visualization mode to obtain a visualized three-dimensional model. The present application solves the problems of the prior art, such as a very long modeling process, low efficiency, and a serious lack of authenticity and diversity of the model, efficiently mass-produces a series of pre-defined geological models, covers a variety of typical geological structures from simple to complex, and accurately controls parameters of various geological elements through an algorithm, thereby improving authenticity and repeatability.

The present application relates to the field of infrared thermal imaging technology, and discloses an infrared image enhancement and pseudo-color mapping method and system for fire fighting, equipment and a storage medium. The method and system can effectively solve the problem of insufficient contrast of infrared images in low gain mode, and through scene adaptive dynamic segmentation processing, the details of high and low temperature regions are respectively optimized, and the temperature information is converted into intuitive color warning by using the pseudo-color mapping with uniform perception, which has strong scene adaptation capability, realizes real-time, adaptive and intuitive enhancement of infrared images in extreme fire environment, and effectively supports fire rescue decision-making.

This invention relates to the field of urban pipeline network monitoring technology, and discloses a dynamic monitoring method and platform for urban intelligent recycling pipeline networks based on virtual-real mapping. The method includes: acquiring the original values ​​of state parameters and real-time rendering frame rate parameters, and calculating the state change rate index; setting a steady-state judgment interval for frequency classification, and dynamically adjusting this interval in conjunction with the real-time rendering frame rate parameters, outputting dynamically adjusted first and second frequency sets; performing mesh dimensionality reduction and material replacement on the model corresponding to the first frequency set to output a lightweight pipeline network topology view, and performing color mapping and vertex shading on the model corresponding to the second frequency set to output a state-colored 3D abruptly changed virtual model; fusing the two to synthesize a hybrid topology rendering image, and monitoring the frame rate for closed-loop feedback adjustment; this invention controls the 3D rendering load through a closed-loop mechanism of frequency classification and differentiated rendering, achieving intuitive visual separation of abruptly changed pipeline network areas in dynamic images.

This invention discloses a method and system for infrared immune deep learning fault detection of power equipment. The system includes edge computing nodes and a cloud server platform. The edge computing nodes are used to standardize, denoise, enhance contrast, and perform pseudo-color mapping on the raw infrared image data to generate standardized infrared images. The cloud server platform uses an immune optimization algorithm to optimize the structural parameters or neuron weights of the deep learning model. It uses a retrained YOLO series, Faster R-CNN, or SSD deep learning model to extract, analyze, and preliminarily determine fault features. It uses a fault determination threshold library combined with a preset fault determination logic for verification and comprehensive judgment, generating a final fault diagnosis report for display and storage. The method is implemented based on the system. The advantages of this invention are: improved accuracy, generalization ability, and robustness of infrared fault detection for power equipment.

This application provides a WebGPU-based method and system for visualizing address cavity pressure layers, belonging to the technical field of 3D visualization. The method involves receiving data packets and processing the color mapping range and pressure values ​​to obtain a normalized sequence. Next, the absolute value of the first-order difference between adjacent elements in the pressure sequence is normalized to obtain a pressure distribution sequence. Then, the cumulative probability division points are used as layer boundaries according to the pressure distribution sequence to obtain a non-equidistant boundary array, and clipping plane equations for each layer are constructed. Subsequently, the display color for each layer is obtained according to the normalized sequence ratio, and a geometric buffer and an instantiated buffer are created in the WebGPU, binding vertex data, display colors, and clipping plane equations. Finally, a plane test is performed on the vertex coordinates, and pixels that pass the test are assigned the corresponding display colors to obtain the visualized image. This method enables adaptive non-equidistant visualization of address cavity pressure layers.

This invention discloses a pseudo-color real-time conversion method and system for X-ray foreign object detection images, belonging to the field of X-ray detection technology. Addressing the need for real-time pseudo-color display in X-ray foreign object detection, this method proposes a rendering optimization scheme for embedded industrial control computers: constructing a multi-mode nonlinear segmented color mapping library, stretching the color gradient of the foreign object region based on the difference in X-ray absorption rates between the foreign object and the background material; employing a delayed initialization strategy to manage the lookup table cache, calculating and locking only when a mode is activated; dynamically segmenting the image based on production line boundary parameters, performing vectorized array indexing operations only on the effective detection area to complete the lookup table rendering. This invention supports n-bit grayscale input, which can be combined with grayscale preprocessing into a composite lookup table to achieve dual mapping in a single lookup. This invention reduces the processing time per frame to the microsecond level on industrial control computers without GPU acceleration, meeting the industrial requirements of high-speed production lines.

Systems and methods are related to daltonizing images. An image decoder can receive a first image and a second image. The images can be associated with a first metadata and second metadata, respectively. The image decoder and determine a color mapping for the first image and the second image based on the first metadata and the second metadata. The image decoder can process the images in a color vision deficiency (CVD) processor and based on the images and their associated metadata generate daltonized images which are sent to a display.

Embodiments of the present application disclose a printing color mapping method, device, system, electronic equipment and storage medium. The method comprises: determining a transmissive manuscript color chart, the transmissive manuscript color chart comprising a plurality of color blocks, each color block corresponding to a known color data; obtaining a reflective manuscript color chart, the reflective manuscript color chart being obtained by outputting the transmissive manuscript color chart to a printing material by an output device; obtaining a digital manuscript color chart, the digital manuscript color chart being obtained by collecting the reflective manuscript color chart by a global digital collection system; establishing a corresponding relationship table from the transmissive manuscript color to the digital manuscript color according to the color data of each color block in the transmissive manuscript color chart and the color data of the corresponding color block in the digital manuscript color chart; and generating a corresponding virtual digital manuscript for a target transmissive manuscript image according to the corresponding relationship table. A quantifiable virtual reference is provided for printing color, and consistency and controllability of printing quality are improved.

Embodiments of the present specification provide an image enhancement processing method and device for an X-ray defective weld image. In the image enhancement processing, a first pixel value of each pixel in a defective area of the X-ray defective weld image as a gray image is obtained as a brightness value, and then a color mapping processing based on contrast enhancement is performed on each pixel in the defective area according to the obtained first pixel value, to obtain an enhanced X-ray defective weld image. By using the image enhancement processing method, the X-ray defective weld image after image enhancement processing can be more easily recognized and distinguished by the human eye.

The application discloses a kind of numerical color mapping design methods based on color perception, it is related to data visualization color mapping design technical field, step 1, color difference-perception time consumption relationship curve is obtained by construction;Step 2, the starting color and end color of color mapping are uniformly converted to Lab color space, and color mapping construction is carried out in the space;Step 3, the relationship curve obtained in step 1 is used to calculate the perception time consumption of user in using the mapping relationship generated in step 2 and carries out rationality inspection.The numerical color mapping design method based on color perception, can flexibly adjust mapping track according to actual demand and design constraint, guarantee the consistency of actual data and color perception in data visualization, avoid the problem that the perception jump in traditional color mapping and other scientific mapping system application range is limited, simultaneously introduce the perception relationship curve of color difference-perception speed for the first time, allow designer to quickly evaluate the perception time consumption under a certain specific design, can assist in inspecting the rationality of mapping design.

The application discloses an underwater binocular line laser three-dimensional reconstruction method and system, and belongs to the technical field of three-dimensional reconstruction. The method comprises the following steps: collecting and analyzing multi-pose calibration plate images, solving the internal parameters and distortion coefficients of a camera, and solidifying and saving the parameters into a JSON file; removing distortion and performing polar line alignment correction on the collected binocular image sequence to generate polar line corrected images; performing homonymic point matching of the binocular images by adopting a sparse matching strategy based on laser stripes to generate a high-confidence sparse disparity map; designing a multi-process parallel processing framework, performing disparity calculation on the sparse disparity map, and generating an average disparity map through time domain fusion; based on the average disparity map and the internal parameters of the camera, the three-dimensional coordinates of target points are solved through a triangulation principle, and the final point cloud data is obtained after color mapping. The application guarantees the physical stability in a deep water environment, and designs an underwater three-dimensional reconstruction solution with strong anti-interference capability and controllable precision.

This invention discloses a real-time full-color night vision imaging system based on multispectral fusion with zero supplemental lighting, comprising a multispectral imaging module, an AI image fusion processing module, a dynamic scene perception module, and a full-color image output module. The multispectral imaging module simultaneously acquires visible and non-visible light images of the same field of view, ensuring consistent field of view by aligning the central axes of the optical paths. The AI ​​image fusion processing module dynamically allocates weights to fuse multi-band images based on a scene feature library. The dynamic scene perception module monitors ambient light and moving targets and provides feedback to adjust the fusion logic. The full-color image output module generates a full-color image that conforms to human eye habits through color mapping. The system achieves real-time full-color night vision imaging without active supplemental lighting, improving the nighttime performance of security monitoring.

This invention discloses a gridded visualization method for scanning lidar detection data, belonging to the field of lidar detection and geographic information system visualization technology. The method comprises the following steps: S1: Constructing a three-dimensional grid spatial model; S2: Collecting raw detection data from the scanning lidar, performing spatiotemporal synchronization and coordinate transformation, and mapping each detection point to the corresponding grid cell of the three-dimensional grid spatial model; S3: For each grid cell, statistically analyzing the historical detection hit count and theoretical scan count, and combining the lidar equation and atmospheric extinction model to calculate at least one detection capability index; S4: Generating visualization rendering data with optimized color mapping, transparency, and hierarchical details based on the detection capability index; S5: Rendering the visualization rendering data using a three-dimensional graphics engine and providing interactive analysis functions to achieve gridded visualization of detection capabilities. This invention improves the accuracy, intuitiveness, and interactive efficiency of lidar detection performance evaluation.

This invention discloses a pseudo-color processing method for forward-looking sonar images to mitigate the impact of water turbidity. The core of this method lies in dynamically determining a threshold based on the statistical analysis of current sonar echo intensity and then linearly normalizing the statistical intensity range. A custom Jet color bar is generated based on the characteristics of the forward-looking sonar image, and this custom Jet color bar is dynamically adjusted according to different water turbidity levels to achieve pixel-level adaptive color mapping. This method can significantly increase the visualization quality and target recognition of sonar images in water environments with varying turbidity, improving the operator's perception and judgment of underwater targets. It overcomes the detail loss problem caused by existing technologies that only use fixed pseudo-color mapping, has broad application prospects, and requires only software implementation, possessing good compatibility and promotional value.