158 results about "Multi-image" patented technology

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 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.

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 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

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.

The application discloses a performance equalization compression method of satellite images. The method equalizes the excellent compression performance of images and the poor compression performance of images from the perspective of a multi-image system by arranging the images, overcomes the influence of the barrel effect on the practicability of image compression, overcomes the defect that the compression quality of a plurality of images compressed by a JPEG2000 standard compression algorithm is too different, and improves the performance of the standard compression algorithm without increasing complexity. The method has the characteristics of easy software and hardware upgrading and realization, has practical value in a satellite image compression transmission system, and can also play a role in any other multi-source standard compression transmission occasion.

The invention discloses an X-ray imaging device and an X-ray receiving device, the X-ray receiving device comprises a support device and a film box assembly, and the support device is configured to be a vertical support device. The film box assembly is connected to the support device, and a flat panel detector is arranged in the film box assembly and used for receiving X-rays and generating electric signals. The wafer box assembly can move along a first movement path, the first movement path of the wafer box assembly has a displacement component in the transverse movement direction, and the transverse movement direction is perpendicular to the vertical direction and parallel to the wafer box assembly. When the to-be-detected person is subjected to X-ray inspection, the film magazine assembly can move along the first movement path, so that the film magazine assembly generates a displacement component in the transverse movement direction, more image information of the to-be-detected person in the transverse movement direction can be obtained, and subsequent image splicing is facilitated to obtain a complete image of the to-be-detected person in the transverse movement direction.

The application provides a multi-image array splicing method for large cement prefabricated components, and the splicing method comprises the following steps: step one: collecting original images of the cement prefabricated components, dividing the original images into regions, and adjusting the gray scale of each region to obtain preprocessed images; step two: searching for feature points between every two adjacent images in each row in the images, identifying and extracting key feature points in the images through a SIFT algorithm, and then matching the key feature points of the adjacent images through a KNN algorithm to determine the relative position relationship between the key feature points; step three: searching for feature points between every two adjacent images in each column and matching the feature points; and step four: calculating the boundary positions of each image in the splicing area, and then splicing. The application realizes high-precision splicing of the cement prefabricated components, can effectively improve the shape detection precision of subsequent cement components, and improves the product detection quality.

Systems and techniques are described for imaging. For instance a process can include obtaining a first image captured using a first portion of an image sensor. The process can further include obtaining a second image captured using a second portion of the image sensor, wherein the second portion is different from the first portion, determining an image capture setting based on the second image, and applying the image capture setting to the first image.

Systems and methods relating to combining multiple images are disclosed. An exemplary method for combining multiple images of a body structure includes capturing a first input image with a digital camera positioned at a first location at a first time, representing the first image with a first plurality of pixels, capturing a second input image with a digital camera positioned at a second location at a second time, representing the second image with a second plurality of pixels, generating a first feature distance map of the first input image, generating a second feature distance map of the second input image, calculating a position change of the digital camera between the first and second time points, and generating a three-dimensional surface approximation of the body structure using the first feature distance map, the second feature distance map, and the position change of the digital camera.

The application discloses a kind of multi aerial photograph image encryption methods based on cross-image collaborative scrambling and coupling diffusion, comprising the following steps: based on SHA-512 algorithm, respectively for the image in image set generates unique hash sequence value;Chaotic sequence is generated based on 2D-SCHCS chaotic system based on control parameter and initial value;Adaptive block decomposition is carried out, and the index array generated;Optimized Markov chain Monte Carlo is used, and multi-image block hybrid scrambling is carried out, and is decomposed into image-level unit array;Realize image pixel-level reconstruction by metadata-driven reverse reconstruction;Chaotic sequence is dynamically distributed to RGB channel according to channel parity check segmentation mechanism, and pixel-level gradient sensitive disturbance and direction sensitive cyclic shift are executed, to realize single-channel pixel scrambling;Based on the image after single-channel pixel scrambling, dynamic XOR stream is generated using chaotic sequence nonlinear combination, and the coupling diffusion of multi-image pixel value is completed, and finally the ciphertext image set is output.