50 results about "Image layer" patented technology

The application discloses a picture layer classification method and related device, and relates to the field of computers, comprising: calculating a first index value reflecting the picture layer proportion, a second index value and a third index value reflecting the spatial position relationship between the text layer and the picture layer, comparing the calculated index value with a pre-set determination condition, determining the type of the picture layer according to the comparison, and finally realizing the automatic identification task of the picture layer type in the poster, thereby providing support for realizing the automatic cropping / extension task of the canvas background and the automatic adjustment task of the picture layer adapting to the text layer layout. Since the index value used is a quantitative representation of the picture layer function in the visual level, it can reflect the differences in functional positioning, design logic and the like of different types of picture layers, so that the picture layer type identification task can be realized with high precision based on the foregoing index value. In addition, the application does not need manual marking of the picture layer type, thereby saving the labor cost.

This enables efficient layered printing by precisely positioning the lens layer relative to the image layer. [Solution] The printing apparatus divides and combines multiple original images in the sub-scanning direction to form a composite image, which is then printed with color ink to form an image layer. A solid image is printed on the image layer with transparent ink to form an intermediate layer. On the intermediate layer, a lens image consisting of multiple long lenses extending in the main scanning direction and aligned in the sub-scanning direction corresponding to the composite image is printed on the intermediate layer with transparent ink to form a lens layer. When forming the lens layer, the print head is moving in the main scanning direction when it ejects transparent ink onto the recording medium, and the transparent ink on the recording medium is cured by a curing device.

This invention relates to the field of image restoration technology, specifically disclosing an image restoration method and device based on discrete wavelet transform. An image restoration network, called Multi-Wavelet Attention Memory Neural Network (MWA-MNN), is designed, consisting of three sub-networks. These sub-networks include Discrete Wavelet Attention Blocks (DWABs) and Coordinate Channel Attention Blocks (CCABs) to extract spatial and channel feature information, effectively separating degraded image layers such as rain streaks from the image to obtain a clean image. The invention leverages the expressive power of wavelet transform for high-frequency information, thereby improving image restoration performance. The sub-networks also include Supervised Selective Kernel Blocks (SSKBs) for filtering effectively extracted features in each sub-network. This invention also proposes a memristor-based cross-array MWA-MNN circuit implementation scheme. Memristors are a novel type of non-volatile memory with faster read speeds and lower power consumption. Experimental results show that this method has good performance and versatility in various image restoration tasks.

This invention relates to the field of optical anti-counterfeiting technology and discloses an optical anti-counterfeiting element, including at least one focusing unit. The focusing unit includes a substrate, a focusing element, and an image layer. The substrate includes a first surface and a second surface disposed opposite to each other; the focusing element is disposed on the second surface; the image layer is disposed on the first surface. The central portion of the focusing unit, when projected onto the image layer, forms a first region, and the remaining portion of the focusing unit, when projected onto the image layer, forms a second region. The second region is disposed around the first region. On the image layer, the area outside the projection range of the focusing unit onto the image layer is a third region, which is disposed around the second region. The first region is provided with micro-graphic strokes, and the second and third regions are also provided with supplementary graphic strokes. The sum of the areas of the micro-graphic strokes and supplementary graphic strokes within a focusing unit is a preset area value, reducing the unevenness of the background color of the optical anti-counterfeiting element.

This invention discloses a method, system, device, medium, and product for intelligent layered packaging of container applications, relating to the field of computer application technology. The method includes: reading the Docker Compose configuration and Dockerfile and parsing the instructions; automatically splitting the image into a base layer, core dependency layer, business code layer, and configuration layer based on a preset strategy and layering priority rules; generating a current file fingerprint for the file content of each layer, comparing the current file fingerprint with a historically built layered fingerprint database, performing incremental builds only on layers with changed content, and directly reusing unchanged layers; loading packaging parameters according to environment tags, and using asymmetric encryption and digital signatures for the core dependency layer and business code layer; integrating the image layers to generate a complete image and updating the configuration file. This invention solves the problems of low efficiency and incompatibility with security hardening in traditional full builds, achieving consistent, rapid image building and secure, controllable distribution.

This application belongs to the field of image processing and relates to a skin extraction method and system. The method includes: performing nonlinear regression fitting on the prior anatomical features of skin tissue in historical oral images to obtain a skin cutting threshold; acquiring a CBCT image of the oral cavity to be processed; extracting boundary features from the cross-sectional image layers of the CBCT image to be processed based on the skin cutting threshold to obtain a dynamic candidate masking region feature map; applying inter-layer geometric consistency constraints to the dynamic candidate masking region feature map to generate a target skin masking region; extracting the original pixel values ​​within the target skin masking region and suppressing their background values; performing isosurface evolution processing on the suppressed original pixel values ​​to generate an isosurface grid; and performing patch validity screening on the isosurface grid to generate the skin extraction result. This application can reduce the interference of irrelevant data on the extraction result during the skin extraction process and ensure the quality of skin tissue extraction as much as possible.

The embodiment of the application provides a containerized task deployment method, device, storage medium and computer program product, the method comprises the following steps: obtaining network topology information, and shared layer information of a container image layer set corresponding to one or more containerized tasks; wherein, the shared layer information contains the same image layer in different container image layer sets, and the network topology information contains one or more network nodes; determining a scheduling strategy based on the network topology information and the shared layer information; wherein, the scheduling strategy is used for scheduling each containerized task to the corresponding network node; determining path information corresponding to each image layer in the container image layer set based on the scheduling strategy and the network topology information, and transmitting the image layer to the corresponding network node based on the path information, so as to execute the corresponding containerized task, thereby improving the deployment efficiency of the containerized task.

Embodiments of the present disclosure relate to generating object-based layers using object classification machine learning models. The present disclosure relates to systems, methods, and non-transitory computer-readable media for accurately, efficiently, and flexibly generating image layers and determining layer labels using machine learning methods. For example, the disclosed systems utilize image segmentation machine learning models to segment digital images and identify individual objects depicted within the digital images. Additionally, in some embodiments, the disclosed systems utilize object classification machine learning models to determine an object classification of the depicted objects. In some cases, the disclosed systems also generate image layers of digital images by generating a separate layer for each identified object (or, group of similar objects). In certain embodiments, the disclosed systems also determine a layer label for an image layer according to the object classification of the respective objects depicted in each of the image layers.

A method for manufacturing a synthetic image device includes providing of a focusing element array. An image layer is arranged in a vicinity of a focal distance of focusing elements, whereby a synthetic image composed of enlarged portions of the image layer becomes perceivable for a viewer. The image layer includes an array of image cells, each associated with a respective focusing element. The step of arranging the image layer includes creation of a respective image object within each respective one of said image cells. The image objects are such that an animation becomes perceivable, comprising a series of synthetic images perceivable in-series as the viewing direction changes. The image objects are such that each one of the synthetic images of the series is perceivable at a respective perceivable depth, changing between the synthetic images of the series of synthetic images.

This invention discloses a high-resolution grayscale image layered colorization method based on zero-domain decomposition. This method employs a layered image processing strategy. First, the input high-resolution grayscale image is downsampled, and the downsampled result is colorized using a text image model to obtain a low-resolution color result. Then, detail information from the high-resolution grayscale image and color information from the low-resolution color result are extracted based on zero-domain decomposition. Finally, the extracted color information is corrected using prior knowledge from a diffusion model, while the extracted detail information is injected to obtain the high-resolution color result. This invention, based on zero-domain decomposition, proposes color image information decomposition and diffusion model-based color information correction in the grayscale image layered colorization process, which can be used to generate color results highly consistent with the detail information in the high-resolution grayscale image. The color image information decomposition proposed in this invention is easily integrated with existing layered grayscale image colorization methods.

This invention discloses a mobile edge computing method based on joint optimization of container image layered caching and service migration, belonging to the field of mobile edge computing technology. This method leverages the shared characteristics of image layers to cache the image layer, reducing redundant storage and image retrieval overhead. Simultaneously, it dynamically adjusts the caching strategy in conjunction with service migration decisions, jointly optimizing service migration and caching decisions to reduce bandwidth consumption and improve storage resource utilization. This method can effectively optimize resource allocation in mobile edge computing systems, reduce system overhead, and has wide applications in smart cities, the Internet of Things, and large-scale data processing.

The present application discloses a data transmission method and apparatus, a computer device (8), a medium, and a product. The method comprises: (S201) acquiring a display image layer, wherein the display image layer comprises a transparency layer and a color layer; (S202) dividing the transparency layer of the display image layer to obtain a divided transparency layer; (S203) mapping and compositing the divided transparency layer to obtain M first RGB images, wherein M is an integer greater than 1; and (S204) splicing the M first RGB images with a second RGB image constituted by the color layer to obtain a target RGB image, and transmitting the target RGB image. In the present application, during transmission of the display image layer, operations such as dividing, mapping, and compositing are performed on the transparency layer comprised in the display image layer, so as to optimize a transmission mode of transparency layer information, thereby improving the efficiency, stability, and reliability of transparency layer information transmission.

The application relates to a container-based development environment recovery method and related equipment. In the process of starting a container to create a development environment, a constructed union file system comprises a base image layer, a writable layer and a read-write layer, and user data is data generated by a user in a task instance executed under a current development environment; wherein the writable layer and the read-write layer are configured in a persistent storage volume, and the persistent storage volume is a storage unit independent of a computing node where the container is located; the development environment recovery method comprises the following steps: after the container stops running, a new container is started in response to a request for re-accessing the development environment; and the persistent storage volume corresponding to the development environment is allocated to the new container to reconstruct the union file system based on the writable layer and the read-write layer. The application solves the problem that the running environment state formed by user operation in the container is easily lost when the container is destroyed, migrated or reconstructed, as mentioned in the prior art.

This application relates to a method, apparatus, computer device, and storage medium for remediating image vulnerabilities. The method obtains a hash fingerprint of the image layer marked as vulnerable, generated based on the image file change record and a timestamped salt value. Based on this hash fingerprint and the hierarchical dependencies encompassing the build relationships and version evolution relationships between image layers, candidate business images referencing the vulnerable layer are traced upwards, and related candidate newly built images and derived image layers are analyzed downwards. By comparing with currently running instances in the container cluster, the target image and image layer actually running are selected from the candidate objects. The target object is input into a preset remediation priority evaluation model to obtain a quantified remediation priority evaluation value, based on which a vulnerability remediation plan is determined. This method achieves accurate source tracing and dynamic convergence of the vulnerability's impact scope, and optimizes remediation decisions through priority evaluation, effectively improving the efficiency and targeting of vulnerability remediation.

This invention relates to the field of 3D printing technology, specifically to a method for generating 3D printed slices applicable to large-scale particle packing structures with small particle sizes. The method includes the following steps: inputting three-dimensional particle structure data; extracting the three-dimensional particle structure data using a multi-source coordinate extraction module to obtain the centroid coordinates and diameter; drawing slice images layer by layer based on the centroid coordinates and diameter data; performing grayscale adjustment processing on the slice images; and outputting a complete slice image sequence based on the grayscale-adjusted slice images. This invention employs an external, independent slicing process, completely replacing the printer's built-in onboard slicing program. By combining multi-source coordinate extraction and grayscale adjustment mechanisms, this invention effectively solves the clogging problem that easily occurs during the printing of small-diameter particle packing structures with pores, and addresses the technical deficiency of existing onboard slicing programs that cannot complete slicing due to excessive memory usage when processing small-diameter, large-scale packed particle models.

This invention belongs to the field of human-computer interaction technology. It discloses a calligraphy and painting appreciation experience cabin, an interaction method, and a device. Through a immersive digital experience cabin, a somatosensory gesture interaction system collects the user's hand spatial motion data stream. Combined with ultra-high-definition original image layers and pre-annotated semantic partition maps of the image, a precise appreciation interaction experience is achieved. Based on the spatial curvature sequence and velocity decay characteristics of gesture trajectories, user behavior is classified into three trajectory types: global exploration, regional wandering, and fixed-point approach. Gestures are associated with semantic partitions of the image through projection mapping, constructing a two-dimensional intent index key to retrieve matching professional content. The method also includes multi-scale cropping and progressive detail enhancement techniques, allowing image details to gradually appear as the user's attention increases, and achieving a smooth transition of intent conversion through spatial deviation rate monitoring. This invention achieves a natural, intelligent, and immersive calligraphy and painting appreciation experience.

This invention provides an anti-counterfeiting image element and an anti-counterfeiting product, belonging to the field of anti-counterfeiting technology. The anti-counterfeiting image element includes: a light-transmitting substrate layer, comprising a first surface and a second surface opposite to each other; a microstructure layer located on the first surface, the microstructure layer including multiple microstructures, each microstructure including a smooth region and / or a non-smooth region, the pitch angle of the microstructure in the smooth region being smaller than the pitch angle of the microstructure in the non-smooth region; a reflective structure layer located on the microstructure layer, the reflective structure layer covering at least a portion of the non-smooth region; and an anti-counterfeiting image layer, provided with an anti-counterfeiting image, the anti-counterfeiting image layer being located on the reflective structure layer or on the second surface. This invention can achieve the appearance of an anti-counterfeiting image when viewed from the front and dynamic features when viewed from the side, thereby solving the technical problem of existing anti-counterfeiting products being easily counterfeited.

This invention discloses a generative image steganography method based on a conditional diffusion model, SD-Stego. The algorithm is based on the Guided-Diffusion model, using controllable conditional text as input. During the inverse generation process of the latent diffusion model, an embedding and encoding strategy is designed. DenseNet deep connections and SEBlock channel self-attention mechanisms are introduced to fuse the intermediate generation in the latent space with the message matrix, achieving efficient embedding of steganographic information. Then, a frozen VAE decoder completes the steganographic image generation. In the decoding stage, a multi-layer convolutional network is used to extract high-level features of the generated image layer by layer. Batch normalization and non-linear activation functions are combined to extract embedded information, and the information is gradually mapped through flattening and fully connected layers, finally outputting the decoded message vector. To optimize the steganography effect and generation quality, a joint loss function is designed, including decoding loss and image quality loss, ensuring the stealth of the generated image and the accuracy of message decoding. This invention enables steganography without the need for a carrier image, making it suitable for information security and data steganography. By utilizing denoising generation and text guidance through a conditional diffusion model, the steganography process exhibits advantages such as high robustness, excellent image generation quality, and controllability of generated content. It is more suitable for complex real-world scenarios (such as social network transmission) and has broad application prospects.

An apparatus for interacting with one or more digital whole slide images (WSIs) acquired by an imaging device includes a display, a memory, and one or more hardware processors. The memory is configured to store computer-executable instructions. The one or more hardware processors are in communication with the display and the memory. The one or more hardware processors are configured to drive the display using the computer-executable instructions of the memory such that the one or more hardware processors are configured to generate a user interface. The user interface includes an image layer and one or more mask layers overlaying the image layer. The one or more mask layers have a predetermined opacity level. The one or more hardware processors are further configured to automatically adjust the predetermined opacity level as a function of a magnification level of the image layer.

An image transfer sheet (1) is obtained by laminating a first release layer (11), a transfer layer (20) including an image layer (22), an adhesive layer (30), and a second release layer (12) in this order. The adhesive layer (30) includes an adhesive layer body part (31) and an adhesive force reduction part (32) provided on the surface of the adhesive layer body part (31). The adhesive layer body part (31) is in contact with the second release layer (12), and the adhesive force reduction part (32) is in contact with the transfer layer (20). When the adhesive force between the first release layer (11) and the transfer layer (20) is denoted by A, the adhesive force between the second release layer (12) and the adhesive layer body part (31) is denoted by C, the adhesive force between the adhesive force reduction part (32) and the transfer layer (20) is denoted by D, and the tensile strength of the adhesive layer (30) is denoted by F1, all of the following relational expressions (1) to (3) are satisfied.　(1): Adhesive force C < adhesive force D (2): Adhesive force C < adhesive force A (3): Tensile strength F1 < adhesive force C

This invention relates to the field of geographic information technology, specifically a UAV dynamic image and 3D terrain overlay projection system based on real-time streaming for emergency command. The system includes a data acquisition and encapsulation module, a streaming and analysis module, a viewpoint positioning module, a projection calculation module, a texture mapping module, and a spatial inversion module. It acquires real-time dynamic images, spatial location, and camera attitude data from the UAV, encapsulates them into a synthetic video stream, and streams it to a geographic information client for analysis. The system locates the UAV's observation origin, calculates the image projection boundary to generate a dynamic projection area, and maps the image to a 3D terrain dynamic image layer. Based on the pixel coordinates of the ranging start and end points in the dynamic image layer, the local elevation values ​​of the 3D terrain data, and the camera attitude data, it performs spatial inversion on the surface curve distance between the ranging start and end points to obtain real-time situation measurement data for the geographic information client. This invention can improve the efficiency of emergency situation awareness.

This invention relates to the field of optical anti-counterfeiting technology and discloses an optical anti-counterfeiting element. The optical anti-counterfeiting element includes a substrate, an image layer, and a focusing element. The substrate includes a first surface and a second surface disposed opposite to each other; the image layer is disposed on the first surface, and the image layer includes several blank areas and several graphic areas; the focusing element is disposed on the second surface, and the central area of ​​the focusing element has a blank area in the orthographic projection area of ​​the image layer. Through the above arrangement, the optical anti-counterfeiting element can be used to acquire anti-counterfeiting images from non-perpendicular viewing angles, and it also avoids acquiring anti-counterfeiting images of the optical anti-counterfeiting element from viewing angles perpendicular to the optical anti-counterfeiting element, effectively improving the anti-counterfeiting and anti-counterfeiting capabilities of the optical anti-counterfeiting element.

This invention discloses a release film pressure-sensitive adhesive label and its preparation method. The release film pressure-sensitive adhesive label includes a face material layer, a pressure-sensitive adhesive layer, and a base material layer arranged sequentially from top to bottom. The base material layer includes a release layer with grooves and stripes, and the pressure-sensitive adhesive layer has spaced stripes that are interlocked with the grooves and stripes. The face material layer includes a face material and an image layer disposed on the face material. The preparation method includes step A: firstly, designing and preparing printing plates, and then mixing inks and colors for gravure printing and flexographic printing respectively; step B: forming a release layer on the base material by flexographic printing, and then coating the release layer with silicone to form grooves and stripes; step C: then coating the release layer with pressure-sensitive adhesive to form a pressure-sensitive adhesive layer, and forming spaced stripes on the pressure-sensitive adhesive layer that are interlocked with the grooves and stripes; step D: forming an image layer on the face material by gravure printing to form the face material layer; step E: laminating the face material layer onto the top of the pressure-sensitive adhesive layer. This method can squeeze out the air in the middle of the label, thereby improving the quality of the product.

Examples described herein provide a computer-implemented method that includes downloading a container image from an image repository. The method further includes deploying the container image as a container at a local graph. The method further includes identifying an image layer of the container image of the container as having a patch in error. The method further includes marking, at the image repository, the image layer as having the patch in error by modifying attributes of a manifest configuration for the image layer having the patch in error. The method further includes rolling back the image layer of the container having the patch in error to a parent image layer based on the attributes of the manifest configuration for the image layer having the patch in error.

The application discloses a kind of based on deep learning's gas film cooling temperature field digital twinborn method and system, it is related to heat protection technical field, the method includes the following steps: constructing gas film cooling experimental device, the experimental device includes sensor, measurement and data acquisition system, complete the measurement and acquisition of experimental data;Acquisition experimental data, use infrared camera to shoot the temperature image of incomplete orifice plate and save, experimental data are used to fine-tune pre-training model, generate migration model;Training pre-training model, using CFD result as pre-training data source, generate pre-training model;Assimilate numerical data, assimilate numerical data using migration learning method based on iterative neural operator, numerical data include data from different image size and image layer;Respectively carry out space, structure and working condition deduction, update physical-virtual synchronous model.The application has data assimilation and deduction function, can support the efficient and accurate design of gas film cooling.

The application discloses a medical image artifact identification and positioning method, which uses a pre-trained artifact identification and positioning model to identify and position artifacts of an input medical image. The output of the artifact identification and positioning model includes a first identification result for describing whether artifacts exist in each image layer of the medical image and a second identification result for describing whether artifacts exist in the medical image. The scheme of the application can not only perform classification analysis of each layer, but also realize inter-layer association, so that the accuracy of artifact detection and identification can reach the level of accurate positioning to the specific layer where artifacts exist.

The utility model belongs to the field of cold -pressed film, specifically is a kind of anti -warping cold -pressed film, including base film layer, its lower surface is sequentially provided with release layer, transparent protective layer, imaging layer, pattern base layer and positioning film layer, positioning film layer lower surface is equipped with metal positioning frame layer, its lower surface covers UV glue layer;Metal positioning frame layer's through -hole is embedded into positioning net, and UV glue layer partial infiltration mesh hole forms anchoring structure, and the recess of filling flash powder is provided in the aluminium foil layer of imaging layer. Through the anchoring cooperation of metal positioning frame and UV glue, the magnetic attraction auxiliary fixing of magnetic sheet, the problem of traditional cold -pressed film edge easy warp, positioning inaccuracy is solved, simultaneously through flash powder layer promotion decoration effect, it is applicable to the decoration and protection of the surface of metal and a variety of material, improves the paste stability and construction efficiency.

This application relates to a data processing method, apparatus, computer equipment, and readable storage medium. The method includes: acquiring an initial scene image generated by a geographic information system (GIS) in response to a target operation command; controlling a large visual verification model based on a master control model to perform multi-dimensional image verification on the initial scene image layer by layer, obtaining a structured verification result of the initial scene image; if the structured verification result indicates the presence of abnormal information, determining the target correction logic corresponding to the abnormal information in each layer of image verification dimensions based on the master control model, the abnormal information, and a preset correction strategy; controlling the GIS to generate an updated scene image based on the master control model and the target correction logic, until the updated scene image meets preset iteration conditions, obtaining a target scene image; and performing data processing based on the target scene image to obtain a data processing result. This method can improve the accuracy of data processing by a geographic intelligent agent.

The present application relates to the technical field of image processing, and particularly relates to a coronary CTA image analysis system for plaque vulnerability evaluation, which comprises a frame construction unit for constructing a center line guide frame corresponding to the center point of each image layer. A feature extraction and screening unit is used for extracting a discrete pipe wall feature set including the coordinates of each feature node in each image layer, the density attenuation coefficient and the high-density barrier identifier, and screening the candidate feature nodes from the discrete pipe wall feature set. A space correction unit is used for mapping the candidate feature nodes in the previous image layer to the current image layer to obtain the curvature correction projection coordinates. A connection optimization unit is used for determining the optimal matching path of the candidate feature nodes between adjacent image layers. An entity reconstruction unit is used for reconstructing the target plaque entity according to the optimal matching path. A vulnerability evaluation unit is used for generating the vulnerability evaluation result of the target plaque entity. The present application realizes the vulnerability evaluation of the plaque structure in the coronary CTA image.

A system and method for generating sample data for analysis provide an image capture unit configured to capture a stack of images in image layers through a thickness of a sample, each image layer comprising pixel data in two orthogonal planes across the sample at a given sample depth; a processing unit configured: a) to process the captured pixel data to determine therefrom a pixel value of the energy of each pixel of the image, b) to select from each group of pixels through the stack of images the pixel having a highest energy; and c) to generate an output image file comprising a set of pixel data obtained from the selected pixels, wherein the output image file comprises for each pixel, the pixel position in the two orthogonal planes, the pixel vale and the depth position of the pixel in the image stack. The depth position of the selected pixel is provided in a fourth channel of the output image file, which represents a topography of a sample. An analysis unit comprises an input for receiving the output image file and to determine therefrom sample data, including identification of constituents in the sample and / or quantity of said constituents in the sample; and preferably comprises an artificial intelligence.