214 results about "Multi-image" patented technology

The invention discloses a water level identification method and device based on image fusion and electronic equipment, and relates to the field of image water level identification or other related fields, and the method comprises the steps: employing a target instance segmentation model to carry out the segmentation processing of a target image in which a water area exists, outputting a global contour segmentation map including the water area and an initial mask map for completing preliminary segmentation of the water area; performing depth estimation on the target image through an improved target depth estimation model to generate a depth map; inputting the initial mask graph, the global contour segmentation graph and the depth graph into a multi-image fusion network model, and outputting a water area segmentation mask graph for complementing the sheltered water area part; extracting a water level line for calibrating the water area mask area in the water area segmentation mask graph; and outputting a water level detection report based on a comparison result of the water level line and the warning line. According to the invention, the technical problem of low water level detection precision caused by object shielding and wrong segmentation of a water area in the prior art is solved.

The invention aims to provide a multi-condition diffusion model-based Shengtuo calligraphy rubbing fusion restoration method, which comprises the following steps of: firstly, acquiring a plurality of Shengtuo calligraphy rubbing images from different sources, preprocessing the images, and constructing a standardized training data set; designing a multi-image feature extraction and alignment module to obtain a fused structural feature tensor; constructing a core network structure of the multi-conditional diffusion model, and supporting guidance of a plurality of conditional vectors; jointly inputting the obtained fusion structure feature tensor and a plurality of condition guide items into a diffusion model to generate a fused and repaired potential image; and finally, restoring the potential image obtained by reconstruction into a final output image through a reverse mapping module. According to the method, the problems of blurring, pen lacking, breakage and non-uniform styles during fusion and restoration of the rubbing image in the prior art are solved.

The invention provides a bridge structure health diagnosis agent construction method based on a thinking chain and a domain tool set. According to the method, a language model with a causal reasoning capability is introduced, and a complete task chain process is constructed by combining target detection, segmentation and geometric analysis models for image processing, so that automation and intelligence from image perception to structure diagnosis are realized. The method supports multi-image input and multi-task cooperative processing, has good generalization ability and interpretability, and can effectively improve the efficiency and accuracy of structural health assessment.

The invention discloses a visible light infrared multi-source image target fusion detection method and system, and relates to the technical field of image target detection, and the method comprises the steps: carrying out the radiation correction and spatial registration of a multi-source image set, forming an aligned multi-image sequence, carrying out the coordinate calculation and position correlation through employing a PROSAC optimization algorithm, obtaining the position information of a preliminary screening target, and carrying out the recognition of the preliminary screening target; and inputting the position information of the primarily screened target into a dual-channel decoupling model, executing multi-scale context sensing and space-spectrum joint analysis by a visible light channel layer, performing thermal contour extraction and thermal radiation intensity calibration by an infrared channel layer, outputting a target decoupling feature vector, performing manifold mapping on the target decoupling feature vector, and obtaining a multi-source evidence body. According to the invention, through the dual-channel decoupling model and the D-S evidence fusion engine, the discrimination capability of target feature expression is significantly improved, and the accuracy of target detection is enhanced.

Systems and methods for generating augmented reality environments from 2D drawings are provided. The system performs a camera calibration process to determine how a camera transforms images from the real world into a 2D image plane. The system calculates a camera pose and determines an object position and an object orientation relative to a known coordinate system. The system detects and processes a 2D drawing / illustration and generates a 3D model from the 2D drawing / illustration. The system performs a rendering process, wherein the system generates an augmented reality environment which includes the 3D model superimposed on an image of the 2D drawing / illustration. The system can generate the augmented reality environment in real time, allowing the system to provide immediate feedback to the user. The images processed by the system can be from a video, from multiple image photography, etc.

The invention discloses a method for detecting functional components of multiple medicinal and edible substances based on image analysis, which comprises the following steps: acquiring n multispectral images of a target medicinal and edible substance sample, and preprocessing the acquired multispectral images to obtain a standardized multispectral image set; for an image Ii in the standardized multispectral image set, outputting texture features used for representing surface structure distribution and particle arrangement, extracting spectral features reflecting sample color change and chemical component reaction capability, and outputting structural features used for identifying micro-textures, edge contours and color spot distribution; generating a fused composite feature based on a multi-image channel fusion strategy; and classifying the composite features based on a support vector machine and / or a multi-layer perceptron, and outputting a component detection result of the target medicinal and edible substance sample. Through a multispectral image acquisition and analysis technology, a detection method suitable for samples with homology of medicine and food in different types, sources and processing modes is realized.

The invention relates to the technical field of super-resolution reconstruction, and discloses a continuous shooting image super-division method based on discrete wavelet transform fusion, which comprises the following steps of: extracting features of multiple frames of low-resolution pictures, and aligning the pictures by using deformable convolution to obtain aligned low-resolution pictures; decomposing the feature map of the low-resolution picture into low-frequency components and high-frequency components in different directions to obtain preliminary fusion features; separating the preliminary fusion feature channel into a semantic branch and a spatial branch, and obtaining a fused feature map by using complementarily enhanced semantic features and spatial features; and carrying out channel expansion on the fused feature map by using a pixel shuffling algorithm, and carrying out spatial rearrangement on the features after channel expansion to realize efficient and rapid up-sampling. According to the method, the problems of difficulty in alignment of multi-target complex movement and artifacts, detail distortion, blurring and the like of super-resolution of different-scale targets in a traditional method are solved, and the multi-image super-resolution imaging effect is enhanced.

The invention discloses a multi-image-source common exit pupil overlapping display system and method, and belongs to the technical field of optical imaging and display, and the system comprises a multi-image-source module which comprises a plurality of independent image generation sources and is used for providing different types of image information; the image wavefront guiding optical module is arranged behind each path of image source and is used for carrying out collimation, shaping, regulation and control and path guiding on light waves emitted by the multi-image source module and realizing consistent superposition of a plurality of heterogeneous image sources in spatial positions, angles and wavefront parameters at a common exit pupil superposition display surface P; the common exit pupil superposition display surface P is used for carrying out space and time fusion on wavefronts of all image sources to generate a composite image; and the detector module is arranged behind the common exit pupil superposition display surface and is used for receiving the fused composite image wavefront and converting the fused composite image wavefront into image data to be output. According to the system and the method, high-uniformity, high-resolution, high-dynamic-range and multispectral large-depth-of-field fusion imaging can be realized, so that higher requirements of modern simulators, visual systems and multidimensional sensing equipment on imaging quality and system performance are met.

The invention relates to the technical field of computer image processing, and particularly discloses a multi-image intelligent compression splicing method and splicing system capable of configuring the column number, and the splicing method comprises the following steps: 1, achieving the intelligent compression of images through the iteration quality attenuation, and balancing the image quality and storage space; step 2, dynamically calculating an image layout size based on the number of columns configured by a user; 3, keeping the aspect ratio of the image by adopting a cell centering strategy; and 4, realizing multi-image splicing by a dynamic canvas synthesis technology. The method has the advantages that intelligent image compression is achieved, and mass and storage space are balanced; a compression strategy can be dynamically adjusted according to the number of images; maintaining the original aspect ratio of the image; flexible multi-column image arrangement is supported; and splicing parameters can be dynamically configured.

The invention provides an image-based eye lesion grading analysis method and device, a medium, a program product and a terminal, and the method comprises the steps: obtaining one or more eye lesion images, inputting the one or more eye lesion images to a pre-trained first model, and generating a corresponding eye feature vector; for a single image, calculating the similarity between the feature vector and each eye disease category, and outputting a prediction category with the highest similarity; and for a plurality of images, respectively calculating the similarity between the feature vectors and each category, and realizing adaptive weighted integration by using the second model to obtain a final prediction category. Sub-model subdivision and risk level layering are carried out according to prediction categories, and a structured risk layering report is output. The problem that in the prior art, the diagnostic value of multi-image information in complex cases is difficult to effectively evaluate is solved, the accuracy of ultrasound in serious vitreous lesion and intraocular tumor recognition is remarkably improved through a self-adaptive weighted integration mechanism, high-risk patient screening and clinical decision making are supported, and the application scene of ultrasound in ophthalmic diagnosis is expanded.

The invention provides a multi-medical image encryption method with tampering localization capability, and aims to solve the problems of security and integrity of digital medical images in transmission and storage, and the core is to provide localized tampering prevention capability. According to the method, firstly, a novel two-dimensional S-type logarithmic chaotic mapping 2D-SLCM is utilized to generate a secret key and a chaotic sequence which are highly related to plaintext content so as to resist differential attacks; then, performing efficient compression on each medical image by adopting a block compressed sensing (BCS) technology to ensure the transmission efficiency; in the encryption stage, data confidentiality is ensured through a multi-layer encryption process including local binary tree traversal scrambling and global random block scrambling; most importantly, an encrypted unique digital watermark is embedded into each image before the images are merged; the dual mechanism not only can detect the tampering behavior, but also can accurately identify which image in the multi-image set is damaged by verifying the watermark extracted from each image, thereby ensuring the reliability of residual data.

Aspects of the subject technology may provide time-synchronized image frames from multiple cameras to various system and / or application processes running on an electronic device. In one or more implementations, a frame identifier may be determined for each image frame from each camera based on a system pulse associated with the capture of the image frame. By generating frame identifiers based for images from multiple cameras based on a centralized source such as the system pulses, subsequent processes can immediately identify images from multiple cameras having the same frame identifier for co-processing of those images.

The invention discloses a gradient-guided panchromatic sharpening method for unlocking spatial textures, which comprises two image processing branches: a guide feature extraction branch for capturing gradient features from gradient amplitudes and generating auxiliary gradient features grads and refined guide gradient features Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr and Gsr; gradient features extracted from gradient amplitudes can provide complementary information to promote optimization and improve the overall performance; one branch is a gradient-guided fusion branch, the other branch is a gradient-guided fusion branch, PAN and MSI are combined with extra information of gradient features, and in the fusion branch, a multi-image cross attention module is designed to gradually integrate image features with different spectral bands and resolutions, so that the PAN and MSI fusion process is effectively guided, and the panchromatic sharpening performance is remarkably improved.

The application relates to the fields of information security and image processing, and discloses a multi-image parallel encryption processing method based on an improved chaotic mapping, which comprises the following steps: separating and stacking each color channel of multiple images to be encrypted to construct a three-dimensional pixel matrix; extracting a matrix hash digest to be converted into a sub-key; inputting the sub-key into an improved chaotic mapping model of a historical state variable to iteratively generate a scrambling and diffusion sequence; performing sorting scrambling on the three-dimensional matrix in multiple orthogonal dimension sections by using the sequence; mapping the sequence into a shift step length to perform a cyclic shift and a bitwise XOR linkage diffusion on the pixels; and finally, outputting ciphertext images by segmentation. The application breaks the physical isolation of a single image to realize spatial depth mixing by constructing a three-dimensional matrix and performing cross-dimension scrambling; the chaotic dynamics degradation under limited precision is overcome by means of a historical state delay; and the efficiency of multi-image encryption and the system attack resistance are improved by using a shift and XOR linkage to realize bit-level depth confusion.

This application relates to the field of image detection technology, specifically to a method, device, and system for pedestrian trajectory tracking across cameras. Specifically, it includes: dividing a surveillance image into far-field, mid-field, and near-field regions; analyzing the imaging characteristics of moving pedestrians in different regions to construct regional change coefficients for far-field and near-field regions at different time periods; constructing motion change influence coefficients for each region by analyzing the pixel feature changes of clusters within the surveillance image during pedestrian movement and the grayscale changes of each pixel over time; determining the tracking region in each far-field and near-field region based on the regional change coefficients and motion change influence coefficients; reducing the hard threshold for denoising in the tracking region and mid-field region to retain more image details, thereby performing pedestrian trajectory tracking; avoiding the problem that traditional denoising algorithms use the same denoising parameters for the entire image, which may smooth the pedestrian's features during denoising, affecting the accuracy of pedestrian recognition.

To provide an information processor, an information processing method and a program for improving the efficiency of the whole tree diagnostic task while accurately acquiring data related with tree diagnosis at a job site.SOLUTION: The information processing apparatus 10 includes a reception unit 113 that receives diagnosis data including a plurality of pieces of image data and a plurality of pieces of sound data related to a tree to be diagnosed from the worker terminal 30 and registers the diagnosis data in a storage unit, a provision unit 110 that provides the diagnosis data to the diagnoser terminal 40, an acquisition unit 114 that acquires a diagnosis result regarding the soundness of the tree from the diagnoser terminal 40, and an output unit 115 that outputs the diagnosis result.SELECTED DRAWING: Figure 2

Eyewear having asynchronous rolling shutter (RS) cameras such that the images produced by each camera are misaligned and a state including velocity and gravity direction in the eyewear frame of reference is computed. The state is not limited to these two parameters as other parameters such as acceleration bias, gyroscope bias, or both can be included. A mathematical solver is used such that the processing time to compute the velocity and gravity direction is acceptable. Arranging the RS cameras in an asynchronous configuration allows the motion of the eyewear to be estimated from only one stereo pair of images and does not require more images to be processed.

This invention discloses a single-target tracking method and apparatus that incorporates existence determination through multi-image input and historical trajectory enhancement. A network model for single-target tracking is constructed, comprising a modified micro-sliding converter, a bounding box embedding module, a multi-layer encoder module, a multi-layer decoder module, and a multi-layer perceptron. The network model is trained in two stages by inputting consecutive frames of images with known target bounding boxes into the single-target tracking network model. Then, the trained network model is used to process consecutive frames of images to be tracked, where only the first frame has a known target bounding box, and the remaining frames have unknown target bounding boxes. This invention can fuse target appearance information and target motion trajectory information through multi-image input and multi-bounding box input, making the tracking results more robust and accurate. The model effectively improves the speed and accuracy of target tracking, can determine the existence of the target, and has wide applications.

The invention relates to the technical field of data processing, in particular to a holographic projection method based on a compound eye array camera, and the method comprises the steps: collecting a multi-sub-eye image sequence of a target scene, and determining a mapping parameter set containing information entropy distribution and an error sensitive region; comparing the error sensitive area of any sub-eye among the multiple image frames, and determining the distortion area of each sub-eye; carrying out calibration processing on the distortion area of each sub-eye, and configuring an intermediate image block after preliminary calibration; configuring a view field range of a single sub-eye based on the coordinate of the middle image block, and calculating an overlapping region of adjacent sub-eyes through a coordinate overlapping algorithm; calling an optimal boundary line of each boundary point based on the update data of each boundary point in the overlapped region in the multi-image frame; and based on the optimal boundary line, carrying out pixel-by-pixel splicing fusion on the view field range of the single sub-eye to obtain a fused global view field set. And the precision and efficiency of image processing are realized.

The utility model discloses a light source capable of detecting different defects, which relates to the technical field of detection light sources and comprises a shell and a light source component, and the light source component is arranged in an inner cavity of the shell and used for detecting characteristics of the outer wall of a product. The beneficial effects of the utility model are that through turning on the shadowless lamp, the detected product is irradiated at multiple angles, the shadow around the detected product is faded, the subsequent irradiation detection of other light sources on the product is facilitated, through turning on the ultraviolet lamp, the ultraviolet light irradiates the product to detect the product, and through turning on the low-angle annular light lamp, the product is detected. The edge part of a detected object is highlighted, the state of the detected object is convenient to observe, during use, a user can select any one light source or a combination of multiple light sources, different detection images are shot under different illumination conditions, an accurate detection result is obtained through comparison, synthesis and denoising of multiple images, and the defect detection accuracy of the product is improved.

The invention discloses a controllable three-dimensional graphic content generation method and system based on multi-image fusion. The method comprises the following steps: receiving a plurality of input images for controlling three-dimensional generation; analyzing an association relationship between the plurality of input images and the three-dimensional space representation through a matching algorithm to obtain a feature sequence of each input image after coding; based on the feature sequence, constructing a mixed condition feature sequence containing multi-image comprehensive semantics through a fusion algorithm; and inputting the mixed condition feature sequence into a generative model, and introducing an enhancement mechanism to perform adaptive adjustment on a feature association relationship so as to obtain a condition feature sequence after fusion enhancement. And inputting the fused and enhanced condition feature sequence into a three-dimensional generation decoder, and outputting final three-dimensional graphic content. According to the method, flexible control from the whole to the local under the multi-image condition can be realized, and based on the two-dimensional to three-dimensional automatic alignment capability, the generation efficiency is remarkably improved while the generation quality is ensured.

The invention discloses a single-screen display system for multiple 2D image projection areas. The single-screen display system comprises a display screen composed of basic display units and a spectro-grating composed of grating units. Respectively projecting light information to different projection areas through a grating unit and corresponding basic display units which are arranged at intervals; the adjacent grating units respectively allow different orthogonal characteristic light to pass through, and each basic display unit only projects the orthogonal characteristic light allowed to pass through by the corresponding grating unit; a two-dimensional (2D) image corresponding to a projection area is projected through each grating unit of the spectro-grating and a basic display unit corresponding to the projection area. Different projection areas correspond to different 2D images.

The invention relates to a method for generating control data based on data using a system (9). First, image data is acquired during a journey with a vehicle (10). This data is subjected to object detection (13) by a first detector, resulting in initial detection data. Subsequently, a second object detection (13) is performed on the same image data by a second detector, which provides further detection data. A deviation between the first and second detection data is determined. If this deviation exceeds a predetermined threshold, the first detection data is classified as indicating a difference in object detection (13) by the two detectors.Based on this, control data is generated to start a data collection campaign to capture further image data and / or to initiate a data upload of the data and / or recognition data and / or control data and / or further image data.

The application discloses a target tracking method, device and storage medium. The target tracking method comprises the following steps: acquiring position information of a target object, querying scene modeling data matched with the position information in a preset scene modeling database, and acquiring real-time images collected by an image collection device matched with the position information, so as to accurately call resources according to the position of the target object, improve subsequent modeling efficiency, then, the scene modeling data and the real-time images are fused to obtain more accurate and convenient observation real scene modeling results, and the target object is tracked based on the real scene modeling results, so that more image details and visual ranges are provided for security, tracking and other scenes on the premise that the target object is not lost, and comprehensive research and judgment on the motion scene of the target object are facilitated.

A system and method for inspection maintenance and / or diagnosis of a variety of workpieces is provided. The system serves workers working on a workpiece, inspectors who are distal from the workers and / or can be used for remote training or for advanced diagnosis and / or repair. The system preferably includes a template of a set of one or more predefined required images of a workpiece required by an inspector to perform their inspection or diagnosis. The set of predefined required images is provided to the worker. The worker captures the images with an appropriate workpiece data capture device and provides them to the inspector for review. The inspector examines the provided images and either approves the workpiece based on their content, requests additional images for further examination and / or provides annotations and other information to the worker to address identified issues. The system maintains a database of all images and information.

The invention provides a rock pore identification method and application thereof, a device, equipment and a medium. The method comprises the following steps: S1, acquiring a CT image of a target rock sample; and S2, a classifier is used to carry out automatic identification on the CT image, pores of the target rock sample are segmented, and the classifier is obtained based on the training of the ilatik software. According to the method, low-cost and accurate segmentation and characterization are carried out on the rock pores based on the ilatik software, appropriate segmentation feature parameters are selected for pore segmentation, then the selected CT images are trained and recognized respectively, different labels in the interactive marking images are used for marking, recognition of the rock pores and solids is further refined, and the recognition accuracy of the rock pores and the solids is improved. And moreover, the effect of batch refined identification can be achieved, a lot of image processing time cost is saved, and rock pores are effectively represented.

The invention relates to the technical field of image acquisition, in particular to a device and a method for acquiring a reflection-removing image on the surface of a high-reflection injection molded part, and the acquisition device comprises a multi-camera assembly, a light source adjusting assembly, a workpiece moving assembly and a control and processing module; the method comprises the steps that the distance between a multi-camera assembly and a workpiece, the distance between a light source adjusting assembly and the workpiece and the angle of a strip-shaped light source in the light source adjusting assembly are adjusted, the situation that strong reflected light is directly received by cameras is reduced, and a workpiece moving assembly is started to drive the workpiece to move; in the moving process of the workpiece, the multi-camera assembly synchronously collects injection molding part surface images at different visual angles, and an image sequence containing complementary information is obtained; according to the invention, a multi-view complementary image is provided for an image fusion algorithm through the multi-camera assembly and the workpiece motion assembly through a strategy of combining a mechanical structure design and a software algorithm, more image details are reserved while a reflective region in the image is removed, and the final image quality is improved.

Various examples of systems and methods are provided for imaging calibration for slide processing. In one example, among others, a system for processing microscope slides includes a light source; an imaging device comprising a lens; and a slide positioner that can position the ground-glass portion of a slide between the light source and lens. Processing circuitry of the system can acquire an image of at least a section of the ground-glass portion at an initial position; analyze contrast of adjacent pixels with respect to a defined contrast characteristic; iteratively advance the lens and acquire additional images based upon analysis of contrast of adjacent pixels with respect to the defined contrast characteristic; and identify an optimal focal location of the lens based upon the defined contrast characteristic. Subsequent image acquisition via the lens can be based at least in part upon the optimal focal location.