828 results about "Image storage" patented technology

The invention discloses a cut workpiece defect detection method and system based on image feature feedback, and relates to the technical field of image processing.The method comprises the steps that cut workpiece technological characteristics are obtained, a preset defect type library is constructed, a hardware system is built, and parameters are initialized; synchronously acquiring a multi-view original image, and storing and associating annotation information; de-noising the original image, enhancing the contrast, and extracting a region of interest ROI; extracting texture, shape, edge and gray features from the ROI, and screening through a Relief-F algorithm to obtain an optimal feature subset; inputting into an SVM (Support Vector Machine) model for reasoning, and screening to obtain an effective defect detection result; and calculating an evaluation index and generating a feedback signal, and performing iterative optimization after adjusting parameters. The system comprises an acquisition module, a master control module, a data processing module and a display module. Through the precise design and closed-loop feedback of the whole process, the precision, efficiency and long-term adaptability of defect detection of the complex cutting workpiece are improved, and the industrial quality management and control requirements are met.

The invention discloses a total-space near-far field regulation and control method based on a coherent pixel super-structure surface. The method comprises the following steps: 1) constructing a nano-structure unit and a super-unit; 2) optimizing the structural parameters of the nano-structure unit according to the incident light wavelength lambda, and verifying the regulation and control effects of the super-unit I and the super-unit II; and 3) constructing a nano-structure array, wherein the nano-structure array comprises a plurality of super-units I and super-units II. Left-handed / right-handed circularly polarized light is set to be incident to the surface of the single-layer metastructure, binary nano printing of an image is achieved in a near field, and near-field nano printing intensities in a transmission space and a reflection space are complementary; different holographic patterns are respectively presented in the far-field transflective space, and the far-field transflective channels are regulated and controlled by mutually independent and continuous phases. By properly designing the single-layer nano brick, continuous and independent phase control of reflection and transmission spaces can be realized without additional equipment, far-field holographic imaging and near-field nano printing can be realized, and the single-layer nano brick can be applied to the fields of depth detection, three-dimensional imaging, optical encryption, high-resolution image storage and the like.

Apparatus for identification of abnormal biomedical features within images of biomedical data and methods used therein are described. The apparatus includes an image capture device, a processor connected to the image capture device, a memory connected to the processor, and a display device connected to the processor. The image capture device is configured to capture an image of biomedical data. The memory contains instructions configuring the processor to receive the image, extract a plurality of biomedical features from the biomedical data, receive repository data from a medical repository as a function of the plurality of biomedical features, generate at least a distance metric as a function of the plurality of biomedical features and the repository data, and highlight at least a biomedical feature within the image as a function of the at least a distance metric.

An augmented reality device for obtaining three-dimensional (3D) position information of a plurality of hand joints of a user includes a plurality of cameras configured to photograph the user's hand and obtain images; memory storing instructions; and at least one processor; the instructions, when executed, may cause the device to recognize the plurality of hand joints from the images; obtain two-dimensional (2D) joint coordinate values for feature points corresponding to the hand joints; retrieve, from a look up table (LUT), 3D position coordinate values corresponding to distortion model parameters of the cameras, a positional relationship between the cameras, and the 2D joint coordinate values; and output the 3D position information of the plurality of hand joints based on the 3D position coordinate values.

The invention provides a multi-vision fusion mining explosion-proof equipment explosion-proof performance evaluation method, and relates to the technical field of intelligent detection, and the method comprises the steps: 1, obtaining flame images of visible light and infrared light; the method specifically comprises the steps that flame images are captured at the same time through an industrial camera and a thermal imager, the images of the industrial camera are stored as a visible light image sequence, the images of the thermal imager are stored as an infrared image sequence, and a time label is bound with each frame of image; step 2, data processing of visible light and infrared images; step 3, optimizing the single-vision image data; the method specifically comprises the following steps: optimizing the features of a visible light image; a feature optimization step of the infrared image; standardizing the feature representation; step 4, feature level fusion of visible light and infrared vision; comprising a feature matrix construction step and a feature level fusion step. And step 5, quantitative evaluation of the explosion-proof performance is carried out based on the visual features.

The invention discloses a visual management system and visual management method for a concrete pouring site, and the system comprises an image collection subsystem which is used for collecting a video image of the concrete pouring site; the image storage subsystem is used for storing the video images acquired by the image acquisition subsystem; the image analysis subsystem is used for carrying out image analysis on the collected video images and determining the abnormal state of the concrete pouring site; and the alarm subsystem is used for sending out alarm information when the image analysis subsystem determines the abnormal state of the concrete pouring site. According to the scheme, safety accidents on a concrete pouring site are avoided, and it can be guaranteed that the construction quality reaches the standard.

The invention belongs to the field of space-time big data, and discloses a remote sensing image indexing and storing method based on a Uber H3 hexagonal grid, which comprises the following steps of: 1, for remote sensing images with different resolutions, cutting the remote sensing images by adopting Uber H3 grids with different resolutions; 2, storing the generated remote sensing image slices into different nodes according to a Hash code (consistent hash ring) and a remote sensing image slice storage algorithm; 3, generating a Main Table, a secondary index table and a B + tree while storing the remote sensing image slices; and 4, in combination with the generated Main Table, the secondary index table and the B + tree, selecting a KNN query algorithm, a spatio-temporal range query algorithm and other algorithms according to query requirements to obtain target data. Compared with a Google S2 remote sensing image storage index method based on a quadrilateral grid and a Uber H3-based remote sensing image storage index method without applying hash, a B + tree and a secondary index table, the storage efficiency of BSH3 is better than that of S2 and H3.

The invention discloses a semantic intelligent enhanced DNA storage method for the Internet of Things, and belongs to the crossing field of artificial intelligence and biological information storage, the compression efficiency and robustness of DNA image storage are effectively improved through introduced semantic extraction and a multi-read screening mechanism of design, key information areas in images are extracted through semantic extraction, and the compression efficiency and robustness of DNA image storage are improved. The method has the advantages that redundant backgrounds are eliminated, coding lengths are reduced, high-quality sequences are selected from sequencing copies by the aid of scoring and sequence analysis through a multi-read screening mechanism, fault tolerance is enhanced, the method is applicable to efficient semantic storage in scenes of the internet of things, the problem of low storage efficiency due to excessive redundant information in original images in existing DNA image storage methods is solved, and the method is applicable to high-efficiency semantic storage in scenes of the internet of things. And a high bit error rate exists in the DNA synthesis and sequencing process, so that the image recovery quality is influenced.

An electronic device, including a memory; a display panel; an image sensor disposed at a lower end of the display panel; a processor operatively connected to the image sensor; and a display driver integrated circuit operatively connected to the display panel and the processor, and configured to sense that a first frame is output on the display panel and to transmit a first signal to the processor based on the first frame being output on the display panel, wherein the processor is configured to: generate the first frame having a designated pixel value based on a shoot command being received from a user, control the display panel to output the first frame, and control the image sensor to capture an image based on the first signal being received from the display driver integrated circuit, and store the captured image in the memory.

The invention discloses an anesthesia major perioperative period ultrasonic training platform, which relates to the technical field of medical education, and comprises a management module for information management and updating, a knowledge module for providing course resources and updating, an ultrasonic module for executing image acquisition and analysis, and an image storage module for classifying and storing images and videos. The scene module provides a virtual reality environment for training, the task module distributes tasks and supports a personalized learning mode, and the evaluation module optimizes course content through intelligent evaluation and adjusts a training scheme. The technical problem that theoretical teaching and practical operation are disjointed in the prior art is solved, and the technical effect of improving the training effect and the skill mastering accuracy is achieved by achieving deep fusion of theoretical teaching and practical operation.

To provide a cutting machine capable of easily performing pattern matching of a sheet material.SOLUTION: A cutting machine 1 includes: a photographing unit 10 capable of photographing an image including one pattern matching reference 65 among a plurality of pattern matching references 65 set in a sheet material S for each cutting pattern P for each pattern matching reference 65; a storage unit 40 that stores the image of the photographing unit 10 as a stored image 40p for each pattern matching reference 65; a display unit 30; and a pattern matching reference designation unit 15 that designates at least one of the plurality of pattern matching references 65 for each cutting pattern P. The display unit 30 includes: a captured image display unit 31 that displays a captured image 31p; a thumbnail image display unit 33 that calls the stored image 40p including the pattern matching reference 65 designated by the pattern matching reference designation unit 15 and displays the stored image as a thumbnail; and a selected image display unit 35 that displays a selected image 35p corresponding to the selected thumbnail image 33p out of the thumbnail images 33p together with the captured image 31p.SELECTED DRAWING: Figure 4

According to the embodiment of the invention, the invention provides an expression creation method and device, equipment and a storage medium. The method comprises the steps that in response to expression creation operation, a target image input by a user is acquired, and the target image at least comprises the face of a target object; at least one expression image of a first type is acquired, the at least one expression image is generated at least based on the target image by using an image generation model, the at least one expression image corresponds to at least one expression style, and each expression image comprises a change object corresponding to the target object; and storing the at least one expression image in an expression library associated with the user for use in message interaction. Therefore, by means of the image generation capability of the model, the user can customize the expression image by simply providing the target image and obtain the unique expression image of the user.

The invention relates to the technical field of embedded mirror image conversion, and discloses a method for converting an OCI mirror image and an embedded mirror image in an embedded environment, which comprises the following steps of: generating mirror image demand information by acquiring a task execution type and a task execution time period of a running task of each embedded device; according to the task execution idle time period and the current mirror image storage information of the embedded device, considering the sequence of the operation task execution time of the embedded device and the adjustment time of the embedded mirror image, the network condition between the embedded device and the container engine, the adjustment frequency of the embedded mirror image and other factors; carrying out distribution and mirror image adjustment strategy generation on a plurality of embedded device operation tasks in a target time period, and guiding mirror image conversion and task execution between a container engine and each embedded device at different moments in the target time period. The reasonability of switching the OCI mirror image in the container engine into the embedded mirror image and storing the OCI mirror image into the embedded device is improved, and the task execution suitability of the embedded device is ensured.

The invention discloses a focus recognition system and method for a diabetic retinopathy image, and relates to the technical field of medical image processing, and the system comprises a fundus image collection module, an image feature processing module, a focus feature extraction module, a network model training module and a focus model recognition module. By integrating the fundus image collection module, the image feature processing module, the lesion feature extraction module, the network model training module and the lesion model recognition module, full-process automation from original fundus image acquisition to lesion intelligent recognition is realized, and the efficiency of diabetic retinopathy lesion recognition is remarkably improved; in addition, errors possibly caused by manual intervention are reduced, the accuracy and consistency of recognition results are ensured, specifically, the fundus image collection module can automatically obtain images from ophthalmology equipment or a hospital image storage system, format unification and index construction are carried out, and great convenience is provided for follow-up processing.

Techniques are described with regard to container image configuration in a computing environment. An associated computer-implemented method includes initializing a container image storage engine associated with a logical tree structure having a plurality of container image nodes, where each of the plurality of container image nodes includes a hash layer array and a hash data array. The method includes building at least one new container image node to incorporate into the plurality of container image nodes. The method further includes applying a software patch to a target container image node among the plurality of container image nodes. In an embodiment, the method further includes starting at least one container based upon a respective container image node among the plurality of container image nodes.

A system includes a camera capturing images in a first field of view of a sports ball bouncing and rolling, a storage arrangement, and a processing arrangement. The storage arrangement includes a three-dimensional 3D model of a part of a sports play area and the processing arrangement is configured to: detect a pixel location of a ball in an image; determine, based on intrinsic and extrinsic calibration parameters, a camera-ball line comprising a straight line passing through the camera in the direction of the sports ball and to determine, based on the 3D model, an intersection point of the camera-ball line with the 3D model. The processor outputs the intersection point as a 3D position of the ball in the image.

An information processing device includes an instruction information acquisition unit configured to acquire instruction information input as voice by a user, a storage control unit configured to, when the acquired instruction information is registration instruction information, cause a storage to store a printed image as a favorite image, and a print control unit configured to, when the acquired instruction information is second print instruction information for instructing to print the favorite image, cause an image forming device to execute printing of the image stored as the favorite image.

The invention discloses a photographing method and device, and the method comprises the steps: obtaining the change information of a motion parameter of a camera; under the condition that the change information of the motion parameters meets a first constraint condition, storing a preset number of shot images shot by the camera in a preset memory; and under the condition that a photographing instruction is obtained, determining a target photographed image based on the preset number of photographed images in the preset memory. Under the condition that the change information of the motion parameters meets the first constraint condition, it is judged that the user is likely to take photos at the moment, the preset number of shot images are stored in the preset memory at the moment, occupation of system resources caused by real-time storage of the image frames can be avoided, the occupation of the system resources can be reduced, and the user experience is improved. And when the photographing instruction of the user is received, the target photographing image is directly selected from the preset number of photographing images, and low-delay photographing can be realized, so that occupation of system resources can be reduced under the condition of realizing relatively low-delay photographing.

According to an embodiment, an image forming apparatus includes a printer to print images, a display screen, and an operation panel for permitting the operator to select an image template for printing. The image template includes a fixed data region and a variable data region. The apparatus has a processor and an external interface that is connected to an external input device to receive input data to be included in the variable data region. The processor generates a preview image corresponding to the selected image template with the received input data included in the variable data region, stores the preview image in a storage location accessible by an external device, generates a code image indicating the storage location, and displays the code image on the display screen upon a request of the operator to permit the operator to confirm the preview image using the external device.

An image processing method and information processing apparatus is provided that executes an image processing method. The image processing method includes acquire an image from an image capture device, the image being captured live in real-time, acquire orientation information associated with a subject in the acquired image, using the acquired orientation information to obtain, from an image repository, a previously captured image of the subject in a similar orientation, generating a composite image by inpainting one or more landmarks from the obtained precapture image that are not present in the acquired live image based on a predetermined geometric representing the subject; and displaying, on a display device, the generated composite image.

The invention discloses a distributed medical image retrieval and hierarchical storage management system and method. The system comprises an interface processing module, a distributed image storage cluster, a routing forwarding module, a metadata management module and a storage management module. The interface processing module receives the image retrieval request, generates a routing identifier for positioning the storage position of a target medical image file and sends the routing identifier to the routing forwarding module; and the routing forwarding module queries a mapping relationship between the medical image file and the storage node and / or the storage hierarchy based on the routing identifier, determines a first storage node and forwards the request, so that the first storage node returns a target medical image file. And the storage management module obtains the access statistical information, determines a target storage level and / or a target storage node, migrates the medical image file, and triggers updating of the mapping relation after migration is completed. Therefore, cross-node accurate positioning and unified retrieval are realized, positioning consistency is kept after file migration, and hierarchical storage management based on access conditions is supported.

An infrared detection camera for the inspection of coated substrates. A corrosion sensing instrument is handheld, portable, battery powered, compact and lightweight. The camera performs nondestructive, real time imaging of corrosion and defects beneath painted metal or plastics or composite surfaces. The device includes a user-friendly computer interface for real time imaging and image storage capability and is typically used for detecting early stage corrosion beneath painted aircraft aluminum surfaces. The handheld device has a front “open air” imaging port which is designed to be placed in soft contact against the painted surface to be inspected by the instrument. The device includes an infrared camera and infrared lighting to capture an image of the surface. The captured image is transferred to a computer and analyzed to locate imperfections below a coating on a surface.

The invention discloses an intelligent stoma evaluation and guidance system, and relates to the technical field of medical health, and the technical scheme is characterized in that the system is entered through a login module, patient information and examination information are input through a basic query module, and a stoma image file is created and stored through an image recognition module; the image is processed in the image acquisition rotation module and the image area rotation module, the processed image is used for the diagnosis report module to generate a standardized evaluation report, and the advanced query module is used for a user to query and compare the report. Meanwhile, the user management module and the image storage management module ensure the safety and effective management of data. According to the system, through an automatic and standardized evaluation process, the accuracy and efficiency of stoma evaluation are improved, the workload of doctors is reduced, and more accurate medical guidance is provided for patients.

The invention relates to the technical field of automatic detection, in particular to an automatic detection and evaluation method for waste recycled steel, which comprises the following steps: executing automatic image acquisition on the waste recycled steel to obtain a recycled steel acquisition image, storing the recycled steel acquisition image into an image storage unit and executing image preprocessing on the recycled steel acquisition image to obtain a preprocessed image; performing fuzzy marking on the preprocessed image to obtain a fuzzy boundary set, sequentially extracting fuzzy boundaries, judging whether the fuzzy boundaries are defect boundaries or not, judging defect types of the defect boundaries, calculating defect scores of the defect boundaries based on the defect types, and if the fuzzy boundaries are extracted, summarizing the defect scores to obtain a defect score set; and calculating a comprehensive defect score based on the defect score set, and evaluating and grading the waste recycled steel based on the score grade and the comprehensive defect score to obtain graded recycled steel. According to the method, the detection and evaluation efficiency of the waste recycled steel can be improved.

The present invention relates to an image warping system capable of quickly performing image warping with low costs by using a cache memory, and a method thereof. The image warping system is provided to generate a transformed image by warping an input image with the help of a cache based WARP engine. The WARP engine accesses the input image and loads a portion of the image to the cache memory for speeding up the engine process. The WARP engine performs interpolation on the input image to generate an output image which is devoid of distortions. The output image obtained is then stored in the DDR of an electronic device.

The present invention provides a FPGA-based stereoscopic image display system and method, including: an acquisition module receives two image source signals and obtains two YUV single-edge data signals; a processing module stores one single-edge data signal in a DDR particle and uses the clock of another single-edge data signal to read the data in the DDR particle; a stereoscopic image signal is obtained by using the two single-edge data signals; and an output module outputs the stereoscopic image signal. Since the signal frequency of the YUV format is low and the bit width is large, it is conducive to FPGA to process data in parallel, and the amount of data is small, saving the internal resources of the FPGA; by storing one data signal in the DDR particle and reading from the DDR particle using the clock of the other data signal, not only can the space cost of storing the image in the DDR be saved, but also the resolution information can be efficiently identified, and the image frame rate can be improved, thereby improving the clarity of the stereoscopic image display, solving the problem that the existing FPGA-based stereoscopic image display technology occupies a large amount of storage resources and has a low display clarity.

An occupant state monitoring apparatus includes an imager, a storage, and a calculation controller. The imager is configured to capture an image of an occupant who is in a vehicle. The storage is configured to store vehicle member coordinates that are position information of a vehicle member of the vehicle. The calculation controller is configured to calculate, based on the image, gaze coordinates representing a position at which the occupant gazes, and determine a state of the occupant based on the gaze coordinates and the vehicle member coordinates.

The invention relates to the technical field of image analysis, in particular to an SMT surface defect visual detection device based on AI image recognition, which comprises a template image storage module, an offset frame and mask image generation module, an image acquisition module, a bare board defect detection module and a finished product defect detection module. The method comprises the following steps: firstly, determining a mounting position and an offset error allowable range of each workpiece according to a mounting process file, and generating a plurality of offset frames to obtain a global mask image; an image extraction method based on a global mask image is provided, and an element coverage area image and an element non-coverage area image are extracted through the global mask image, so that partition defect detection is realized; in addition, a PCBA comprehensive defect detection model based on multi-task learning is provided, so that defect detection of an element coverage area is realized. Through respectively carrying out defect analysis on the element coverage area and the element non-coverage area, a PCBA finished product defect detection result is finally generated, and efficient and accurate SMT surface defect detection can be realized.

The invention provides a method and device for determining the oscillation mode of plasma, electronic equipment and a medium, and relates to the field of plasma diagnos.The method comprises the steps that video data, collected by a low-frame-rate camera, of the plasma generation process of a Hall thruster are obtained; processing the video data by adopting the trained image frame processing network to obtain an image frame sequence arranged according to a time sequence; and processing the state information of the plasma in each image frame in the image frame sequence by adopting a configured POD algorithm to obtain energy ratios of different types of oscillation modes. According to the method, the neural network is introduced, a high-frame-rate image is generated by learning a large amount of historical image data, capturing nonlinear behaviors of plasma oscillation optical characteristics and carrying out frame processing on the low-frame-rate image, the performance requirement for an image acquisition system, the image processing time cost and the image storage cost are reduced, and the image acquisition efficiency is improved. And the data processing efficiency is greatly improved.

System and method are provided for capturing images based on dominant eye characteristics of a user. The system detects, by a wearable device, a hand gesture of the user indicating an image boundary for capturing an image from one or more cameras of the wearable device. The system generates, by the wearable device, the image based on (a) a dominant eye characteristic of the user, (b) the image boundary indicated by the hand gesture of the user, and (c) one or more images captured from the one or more cameras of the wearable device. The system stores, by the wearable device, the generated image to memory.