228 results about "Color mapping" patented technology

The invention relates to the technical field of image processing, in particular to an image acquisition and analysis method and system, and provides the following scheme: obtaining a visible light and near-infrared multispectral image, generating a spectral difference image, and performing weighted fusion to obtain a first image; segmenting a target region based on the fused saliency map, and calculating a pixel reflectance ratio; solving a color mapping matrix according to the reflectance ratio, and carrying out color correction on the target region to obtain a standardized feature image; and extracting characteristic parameters such as spectrums, colors and textures, inputting the characteristic parameters to a multi-branch convolutional neural network, fusing the characteristic parameters through an attention mechanism, and outputting a state classification result and a quantitative index. The cross-spectral imaging difference can be adaptively compensated, and the fusion precision and the analysis stability are improved.

The invention relates to a photovoltaic monocrystalline silicon material resistivity uniformity evaluation method, and belongs to the technical field of photovoltaic material detection. The method comprises the following steps: evaluating all-form resistivity and doping uniformity of a photovoltaic single crystal silicon rod, a single crystal silicon wafer and a single crystal silicon square wafer; carrying out standardized point distribution on the monocrystalline silicon wafer by using a concentric circular ring and a small circle, and calculating in-plane uniformity by using a triple integral derivation equation; the monocrystalline silicon square pieces are distributed in the form of grid small squares, and in-plane uniformity is calculated by means of a triple integral derivation equation; and for the axial direction of the silicon rod, the uniformity is quantified by utilizing range and variance models through the resistivity of the head, middle and tail wafers. Meanwhile, a continuous grid is generated through interpolation, and a 3D color mapping curved surface diagram with plane projection is drawn to visually present distribution. According to axial and in-plane uniformity results, silicon wafers are classified and graded, the doping uniformity of monocrystalline silicon is accurately reflected, and a support is provided for quality control, process optimization and silicon wafer sorting of photovoltaic monocrystalline silicon.

The invention discloses an intelligent perception analysis system for the real-time participation degree and cognitive state of a mathematics classroom. The intelligent perception analysis system comprises a multi-source data acquisition module, a fusion analysis engine module, a real-time feedback module and an offline optimization module. The method has the beneficial effects that a dynamic participation index is innovatively designed, and an attention attenuation resetting mechanism is introduced; the real-time feedback module generates a cognitive thermodynamic diagram of HSL color mapping to position group obstacle points, and triggers self-adaptive question pushing; and the off-line optimization module dynamically updates the edge weight of the knowledge graph through error co-occurrence analysis, and early warns a cognitive confusion relationship without textbook association. According to the method, the limitation of single-mode perception is broken through, the problem solving step quality visual diagnosis and the cross-cycle cognitive impairment prediction are realized, a teaching closed loop of'multi-source perception-hierarchical quantification-real-time intervention-knowledge evolution 'is formed, and the mathematical classroom cognitive state analysis precision and the teaching intervention timeliness are remarkably improved.

The invention relates to the technical field of computer graphics and deep learning, in particular to a simulation bait automatic coloring method and system based on a 3D model. The method comprises the following steps: acquiring an uncolored 3D model and a reference image, and generating standard data through analysis verification, curvature grid division and image compliance detection; performing color conversion, texture enhancement and multi-scale downsampling on the compliant image to construct an image pyramid; performing multi-level feature extraction and adversarial training optimization based on a pre-trained convolutional neural network and a generative adversarial network, and generating an enhanced color texture map; performing UV expansion, color mapping and normal mapping fusion in combination with the model topology, and constructing an intermediate model with physical rendering attributes; and batch color consistency verification is realized through color histogram comparison, adaptive threshold segmentation and iteration parameter adjustment, and a standard model group is generated. According to the invention, efficient and highly realistic automatic coloring of the simulated bait is realized, and color consistency and rendering quality in batch production are guaranteed.

The invention discloses an automatic texture color mapping method for large-scale point cloud data. The automatic texture color mapping method comprises the following steps: firstly, realizing geometric alignment of geographic texture data and point cloud data; then realizing release of intra-core buffer by means of a mass point cloud space segmentation and retrieval management technology, and segmenting the mass point cloud into a plurality of regional point cloud blocks; carrying out filtering processing on the regional point cloud blocks to filter out discrete flying spots; secondly, considering correction constraints of different texture source information to realize seamless generation of geographic texture data; secondly, efficient point cloud preliminary color assignment is achieved by means of the spatial relation between geometric mapping and local aggregation of regional point cloud blocks and geographic texture data; secondly, eliminating the texture information (color) of the wrong coloring point cloud by using the self-shielding judgment result of the point cloud; and finally, realizing spatial merging of regional point cloud block data sets by using an efficient out-of-core file merging technology. According to the method, the dependence on hardware equipment (such as a large memory and a high graphics card) is avoided, and the block processing of massive point clouds is efficiently realized.

The invention provides a digital pathological image high-color accurate splicing method and device based on feature point matching. The method comprises the following steps: obtaining a target splicing region in a target splicing image and a to-be-spliced region in a to-be-spliced image based on a scanning sequence of digital pathological images; performing affine transformation on the to-be-spliced region by using the affine transformation matrix to obtain an initial correction region; constructing a global color mapping function, and mapping the initial correction image by using the global color mapping function to obtain a color correction image; and splicing the color correction image and the target splicing image based on the scanning sequence of the pathological images to obtain a digital pathological image splicing result. According to the scheme, only the target splicing area and the to-be-spliced area are subjected to feature point matching, the cumulative distribution function of the effective feature points is calculated according to the RGB channels, and the global color mapping function is constructed and optimized, so that accurate color correction is realized, and the visual integrity and consistency of the spliced image are improved.

The invention discloses a fluorescent microscopic image intelligent enhancement method and device and a readable storage medium, and belongs to the field of medical image processing. The method aims at solving the problems that multi-channel fusion of fluorescence images is difficult, pseudo-color mapping is not accurate, RGB processing is not uniform, and parameters depend on experience. The method comprises the following steps: acquiring a multi-channel image and separating; performing pseudo-color mapping and synthesis based on wavelength physical characteristics to obtain a synthesized image; obtaining R, G and B three-channel target histogram features of the standard library; carrying out R, G and B three-channel independent histogram specification on the synthesized image; by utilizing a genetic algorithm, taking similarity with a target histogram as a target, and adaptively optimizing independent Gamma parameters of three channels R, G and B; and performing independent Gamma correction by using the optimal parameter to obtain a final enhanced image. According to the method, physical accurate mapping, standardized correction and parameter self-adaption are realized, and the image quality is improved.

The invention discloses a bearing fault diagnosis method based on wavelet time-frequency coding and a convolution visual converter. The method comprises the following steps: collecting vibration signals of a bearing under different working conditions; performing continuous wavelet transform on the one-dimensional vibration signal to generate a two-dimensional time-frequency diagram with high time-frequency resolution; carrying out coding and image enhancement on the time-frequency graph through an enhanced color mapping mode; inputting the time-frequency graph into a convolution visual converter model, and realizing local and global combined extraction of vibration features through convolution projection, a self-attention mechanism and a multi-stage feature fusion structure; the features are classified to identify a state of health or type of fault of the bearing. According to the method, the diagnosis precision and robustness in a complex working condition and high-noise environment are effectively improved, and the method is suitable for state monitoring and early fault early warning of various types of rotary mechanical equipment.

The invention provides a civil aircraft safety perception method and system based on virtual flight, and relates to the technical field of aircraft safety perception. A dynamic and hierarchical three-dimensional wind shear field model is constructed through space-time alignment and fusion of multi-source meteorological data; deep coupling of wind disturbance and aircraft dynamic response is realized based on a small disturbance theory and a flight dynamics model; continuous and dynamic quantification of risks is realized by combining and analyzing flight parameters and a safety threshold value dynamically adjusted based on wind disturbance intensity and utilizing multi-parameter risk level weighted integration; according to the method, the risk coefficient is coupled with the three-dimensional terrain and the virtual flight trajectory, hierarchical color mapping is adopted to carry out visual space visualization, and a complete closed loop from environment modeling to risk early warning is formed, so that the identification accuracy and timeliness of the flight risk in the wind shear environment are greatly improved, and the scientificity and practicability of security situation awareness are enhanced.

The invention discloses an anchor rod corrosion morphology three-dimensional reconstruction method and system based on three-dimensional laser scanning. The method comprises the following steps: acquiring anchor rod surface point cloud data through three-dimensional laser scanning and preprocessing the anchor rod surface point cloud data; performing serialized slicing processing on the point cloud, and establishing a local coordinate system axially aligned with the anchor rod; adopting an improved RANSAC (Random Sample Consensus) algorithm with adjacent slice continuity constraint, fitting the contour of the non-rusted reference circle piece by piece, and reconstructing a reference geometric shape; the corrosion degree is quantified by calculating the corrosion deviation value of the actual contour point and the reference circle, and is converted into polar coordinates to analyze circumferential distribution; and on the basis of the corrosion deviation value, a three-dimensional morphology cloud picture and a polar coordinate expansion picture are generated through bidirectional dynamic color mapping, and multi-dimensional visualization of the corrosion morphology is achieved. According to the method, the limitation that original contour data cannot be obtained through a traditional method is overcome, accurate quantification and reconstruction of anchor rod corrosion under the standard-free condition are achieved, and high robustness and engineering applicability are achieved.

Embodiments of the present application disclose a kind of to be displayed object color control method, device, display equipment and medium.The method includes: obtaining the to-be-displayed object information of to-be-displayed object, and corresponding to-be-displayed object interface is generated according to the to-be-displayed object information;The color information of the to-be-displayed object interface is configured based on the preset to-be-displayed object color mapping frame, and the to-be-displayed object color mapping frame is used to configure the mapping relationship of the to-be-displayed object information and the color information of the to-be-displayed object on the current display interface;According to the color information of configuration, the to-be-displayed object information of the to-be-displayed object interface is displayed.The technical scheme of the embodiment of the present application can freely select the color information displayed by to-be-displayed object, and the mapping relationship of the selected color information and to-be-displayed object is displayed in display interface in real time, facilitate user operation, improve the use experience of user.

The invention discloses a fabric texture fidelity rendering method and system based on a scanned image and a target color number, and solves the technical problems of poor color perception consistency and texture detail loss. The method comprises the steps of preprocessing a standardized input image through illumination compensation, performing double-space color mapping in an LAB color space, partitioning the image by adopting K-means clustering according to texture features of a gray-level co-occurrence matrix, establishing a color mapping function containing global mapping transformation and local adaptive adjustment, and adaptively determining a fusion coefficient according to regional variance; decomposing the image into a base layer and a detail layer by adopting guide filtering, and performing spectrum constraint on the detail layer to ensure that the spectrum amplitude is consistent with the original; extracting material parameters such as a normal map, a roughness map and a metallity map; according to the method, fabric texture details are completely reserved while color perception consistency is guaranteed, rendering reality is improved, batch processing of multiple groups of target color numbers is supported, and the method is suitable for application scenes such as costume design, e-commerce display and virtual fitting.

The invention provides an endoscopic image enhancement method and system, and relates to the technical field of medical image processing. The method comprises the steps that an endoscope image enhancement model composed of a local sensing network, a global color mapping network and a fusion network is constructed, details of a low-quality image are extracted through the local sensing network, colors of a high-quality image are learned through the global color mapping network, two-way features are integrated through the fusion network, and an endoscope enhancement image is output; and generating total loss through the total loss function to optimize the endoscope image enhancement model so as to output an endoscope image with high definition and real color. An end-to-end lightweight network is adopted, unified enhancement of extreme illumination coexistence scenes is completed at a time, and the visual consistency and diagnosis reliability of gastrointestinal endoscopic images are remarkably improved.

The invention relates to an image processing method and device for an intelligent camera, and the method comprises the following steps: carrying out the pixel distribution statistics of an original image collected by the intelligent camera, obtaining a brightness histogram, carrying out the segmentation division of the brightness histogram, and obtaining a plurality of brightness intervals; performing contour extraction on the original image based on the plurality of brightness intervals to obtain an edge contour map; determining a category label based on the edge contour map, and performing semantic annotation on the edge contour map based on the category label to obtain a semantic annotation result; performing color mapping on the original image based on the semantic annotation result to obtain an enhanced image; and carrying out quality evaluation on the enhanced image, and if the evaluation result does not reach the preset threshold, carrying out color mapping on the enhanced image again based on the evaluation result until the enhanced image reaches the preset threshold requirement, thereby solving the technical problems of low contrast, fuzzy details and color distortion of the original image collected by the intelligent camera.

The invention discloses a color QR code generation method and system based on AES-RSA dual encryption, and relates to the technical field of data encryption, and the method comprises the steps: carrying out the byte filling and segmentation of a preprocessing data package; performing AES encryption operation on each data block based on the AES key and the initialization vector to obtain a complete AES ciphertext; filling the AES key packet by adopting an OAEP filling method; encrypting the key packet filled with the OAEP by adopting an RSA public key to generate an identifier; obtaining a hybrid ciphertext packet based on the complete AES ciphertext, the key packet and the identifier; the mixed ciphertext packet is divided into three equal parts, check codes are added, three sections of mixed ciphertext data with the check codes are obtained, priority coding is carried out, and a QR code dot matrix is generated; and obtaining a final color QR code based on the color mapping function and the QR code dot matrix. According to the invention, the security of data transmission is improved, and the information capacity of data transmission is increased.

The invention relates to the technical field of crossing of computer vision, computer graphics and digital fashion, and discloses a three-dimensional digital clothing stylization method, which comprises the following steps of: firstly, constructing a double-encoder color mapping network to realize color alignment of a clothing image and a style image; the problem that training data is difficult to obtain is solved through a self-supervision strategy; then extracting depth features of the multi-view garment image and the style image by using a pre-trained VGG network, and embedding the style features into a garment feature space by means of an edge enhancement nearest neighbor feature matching algorithm; secondly, introducing an attention-guided edge enhancement feature extraction network, extracting edge features, and performing alignment optimization; finally, a stylized three-dimensional digital clothing image which has high style fidelity and clear structure details and supports rendering at any viewing angle is generated, the problems of color distortion, fuzzy details, inconsistent styles and the like in the prior art are effectively solved, and the method is suitable for the fields of virtual fitting, digital fashion design and the like.

To perform color mapping to a printing color gamut so as to reduce the degree Iga of color conversion caused by color conversion, and to perform appropriate mapping even when a printing original is a read original.SOLUTION: It is determined whether the first image is an image obtained by scanning a print image. When the first image is an image obtained by scanning a print image, color conversion processing for converting a first color and a second color included in the first image and defined by a first color gamut into a third color and a fourth color defined by a second color gamut different from the first color gamut is executed. When a color difference between the third color and the fourth color is smaller than a predetermined threshold, a conversion parameter in the color conversion processing is corrected so that a color obtained by converting the first color becomes a fifth color different from the third color, in which a color difference from the fourth color is larger than the color difference between the third color and the fourth color.SELECTED DRAWING: Figure 21

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 invention discloses an artificial intelligence aided design color matching decision-making system and method, and relates to the technical field of computer aided design. Comprising the steps of obtaining a design semantic text, user visual preference and scene illumination parameters; converting the text data into emotion vectors through machine learning; mapping the emotion vectors into a color base vector set by using a pre-trained emotion color mapping model; carrying out personalized parameter adjustment on the color basis vector based on the visual preference data of the user; environment self-adaptive correction is carried out in combination with scene illumination parameters; performing multi-dimensional intelligent evaluation on the corrected color set to generate a comprehensive confidence score and a color matching scheme; when the score is lower than a preset threshold value, iterative optimization is carried out, and finally an optimized color matching scheme is output. The problem that a traditional color matching tool is difficult to consider design intentions, user preferences and physical scenes is effectively solved, and the quality, personalization and practicability of a color design scheme are improved.

The invention relates to an intelligent point cloud data labeling method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring original point cloud data; performing semantic segmentation processing on the original point cloud data to generate pre-labeled point cloud data with an initial semantic tag; based on a preset rainbow color mapping relationship, performing rainbow color rendering processing on the plurality of point clouds in the pre-labeled point cloud data to generate rainbow vision enhanced point cloud data; and semantic label correction and color rendering adjustment processing are performed on the rainbow vision enhancement point cloud data to obtain target rainbow color labeling point cloud data. According to the technical scheme provided by the invention, the point cloud data correction and labeling efficiency can be improved, and labeling personnel can more accurately identify and correct wrong labels, so that the phenomena of wrong labeling and missing labeling are effectively reduced, and the accuracy and reliability of labeling data are integrally improved.

The invention discloses a data processing method and device, computer equipment and a computer readable storage medium, and the method comprises the steps: determining target color mapping information based on first image information, first color data information and initial color mapping information;

The application provides a digital pathological image high-color-precision splicing method and device based on feature point matching, which comprises the following steps: obtaining a target splicing area in a target splicing image and a to-be-spliced area in a to-be-spliced image based on the scanning sequence of the digital pathological image; performing affine transformation on the to-be-spliced area by using an affine transformation matrix to obtain an initial correction area; constructing a global color mapping function, and mapping the initial correction image by using the global color mapping function to obtain a color correction image; and splicing the color correction image and the target splicing image based on the scanning sequence of the pathological image to obtain a digital pathological image splicing result. According to the scheme, feature point matching is only performed on the target splicing area and the to-be-spliced area, the cumulative distribution function of the effective feature points is calculated respectively according to RGB channels, and an optimized global color mapping function is constructed, so that accurate color correction is realized, and the visual integrity and consistency of the splicing image are improved.

The invention discloses a liquid hydrogen bottle inner container detection method and device based on low-frequency pulsed eddy current, and the method comprises the steps: enabling a low-frequency pulsed eddy current probe to carry out scanning on the outer surface of a liquid hydrogen bottle along a scanning path, and obtaining the resistance value of the low-frequency pulsed eddy current probe of each sampling point on the scanning path, on the basis of the coordinates of each sampling point on the scanning path, drawing an imaging picture of mapping resistance values through colors; extracting the edge of the abnormal region in the imaging picture through an edge extraction algorithm, and calculating the aspect ratio and the edge acutance of the abnormal region; when the aspect ratio of the abnormal area is larger than a first threshold value and the edge sharpness is larger than a second threshold value, it is determined that cracks exist in the inner container of the liquid hydrogen bottle; and otherwise, determining that the inner container of the liquid hydrogen bottle does not have cracks, and inputting the resistance value of each sampling point into the trained signal decoupling model to obtain corresponding temperature and pressure. The method is low in cost, and nondestructive testing can be realized.

The application discloses a kind of fluorescent microscopic image intelligent enhancement method, device and readable storage medium, belong to medical image processing field.The purpose is to solve the problem of fluorescent image multi-channel fusion difficulty, pseudo-color mapping inaccuracy, RGB processing unevenness and parameter dependence experience.The method comprises: obtaining multi-channel image and separating;Perform pseudo-color mapping and synthesis based on wavelength physical characteristics, to obtain a composite image;Obtain the R, G, B three-channel target histogram features of standard library;The histogram specification of R, G, B three-channel independent of composite image is carried out;Using genetic algorithm, with target histogram similarity as target, adaptively optimize R, G, B three-channel independent Gamma parameter;The optimal parameter is applied to independent Gamma correction, to obtain final enhanced image.The application realizes physical accurate mapping, standardization correction and parameter adaptation, and improves image quality.

The invention discloses a transformer substation intelligent monitoring system based on graph self-generation, and relates to the field of transformer substation monitoring. Comprising a data acquisition module which acquires real-time data of equipment through an IEC61850 protocol and stores the real-time data to a time sequence database InfluxDB; the model analysis module is used for analyzing the standardized model file in the XML format and constructing a topological structure in a memory; the layout calculation module is used for calling a dynamic layout algorithm and generating equipment position coordinates; the graph rendering module is used for drawing equipment graphs by using WebGL and updating colors and sizes according to real-time data; and the exception handling module is used for triggering an alarm and recording the alarm to a log file when detecting that the model field is missing. On the basis of multivariate data acquisition, automatic graph configuration can be realized by using the state-color mapping model and the numerical value-size mapping model in the graph rendering module, so that the maintenance is simple, the flexibility is high, and the efficiency is improved.

The invention discloses a tsunami simulation and rendering method and related equipment. The tsunami simulation and rendering method comprises the following steps: acquiring submarine topography data and seismic source data; preprocessing the submarine topography data to obtain water depth data; based on the seismic source data and the water depth data, performing quantification by using a preset numerical model to obtain tsunami metadata; and based on the image channel corresponding to the tsunami metadata, obtaining a tsunami rendering graph through color mapping rendering. The tsunami metadata image in the standard format is automatically generated through the preset model, the process is remarkably simplified, and the analysis efficiency is improved; according to the method, the multi-dimensional information of tsunami propagation time, dynamic wave height and maximum wave height is rendered into a visual and understandable graphical product by using a color mapping technology, the spatial expressive force of tsunami dynamics and risks is greatly enhanced, efficient support is provided for disaster early warning, emergency planning and public communication, and the method can be widely applied to the technical field of data processing.

The invention provides a digital false tooth processing system and method, and the method comprises the steps: obtaining a plurality of local point cloud views of the surface of a target false tooth processing part, carrying out the point cloud classification based on surface curvature features, and obtaining a feature point cloud set of a complex occlusal surface and a non-feature point cloud set of a flat axial surface; performing multi-view registration of adaptive geometric characteristics on the feature point cloud set and the non-feature point cloud set to obtain a complete three-dimensional point cloud of the target false tooth machined part; performing fine registration on the complete three-dimensional point cloud and the three-dimensional point cloud of the target false tooth design model based on the point cloud overlapping rate to obtain a registration residual error between corresponding point pairs of the target false tooth processing part and the target false tooth design model; and performing normalization and color mapping on all the registration residuals to generate an error thermodynamic diagram of the machining precision of the target false tooth machined part. By adopting the scheme of the invention, high-efficiency, high-precision and result-visualized automatic processing error detection can be carried out on the false tooth processing part with complex mixed geometric characteristics.

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 a cosmic ray cluster muon navigation positioning point feature extraction method, and relates to the technical field of navigation guidance and control. The steps are as follows: S1, through the upper and lower two particle detectors in the closed navigation area, accumulate and collect muon data penetrating into the navigation area, and obtain muon data for effective imaging through time sequence denoising and spatial filtering; S2, a projection horizontal plane is constructed in the closed navigation area and is divided into a grid, the number of muons penetrating into each cell of the grid and the penetrating point position are determined, the muons affecting imaging in the possible abnormal muons in each cell are identified and deleted; S3, the muon distribution density in each cell on the projection horizontal plane is re-estimated, a color heat map of the navigation area is generated through normalization and color mapping; the method realizes intuitive, clear and efficient color heat map imaging of the navigation positioning hotspot area, reduces the processing difficulty of the muon navigation positioning map, and ensures the identification efficiency and reliability of the navigation positioning feature points.

The invention relates to a three-dimensional part color recovery method and device, equipment, a medium and a product. The method comprises the steps of obtaining an initial model file corresponding to a target part; recursive analysis processing is conducted on the initial model file, a topological shape set and a color set are obtained, and the color set comprises colors corresponding to all topological shapes in the topological shape set; obtaining a target assembly structure corresponding to the target part, and constructing a target shape combination based on the topological shape set and the target assembly structure; and performing color mapping processing on the target shape combination by using the color set and the target assembly structure to obtain a color model file corresponding to the target part. By adopting the method, the visualization accuracy can be improved.