28 results about "Imaging order" patented technology

The invention discloses a remote sensing satellite area coverage method based on greedy search, and belongs to the technical field of remote sensing satellite earth observation. The method comprises the following steps: firstly, gridding an area target to be observed according to the imaging breadth of a remote sensing satellite; secondly, calculating a grid set of potential coverage of the satellite based on the breadth and the side-sway capability of the satellite within the top-crossing access time of the satellite to the regional target; and then local greedy search and multi-round iteration are carried out to determine a final imaging satellite set and an imaging sequence, and an optimized multi-remote sensing satellite collaborative observation region target scheme is obtained. The method has the advantages of being simple in processing logic, high in flexibility, high in resource utilization rate, high in optimization efficiency and the like, and is suitable for the problem that multiple remote sensing satellites cooperatively cover area targets.

The application is suitable for the technical field of data processing, and provides a method and device for image processing, electronic equipment and storage medium, the method comprising: in response to a first operation initiated by a user, acquiring multiple images; for any image in the multiple images, determining an image order of the image in the multiple images according to a feature parameter of the image in at least one visual feature dimension; and generating an album based on the image order of the multiple images, wherein each image in the album is sorted based on the image order. In the embodiment of the application, the order of the images in the album is determined according to the difference degree between the visual feature dimensions, the similarity of the image content between adjacent images is improved, the continuity of switching between different images in the album by the user is improved, the fragmentation of the picture is reduced, and the use experience of the user is improved.

The invention discloses a data processing method for a resistor array infrared imaging target simulation system, and relates to the technical field of data processing. The data processing method for the resistor array infrared imaging target simulation system comprises the following steps: acquiring a target analysis image of a target infrared object simulated by a resistor array; according to the target analysis image of the target infrared object, an image pyramid of the target infrared object is updated, and the updated image pyramid comprises a historical analysis image of the target infrared object and the target analysis image; performing ambiguity identification on the target analysis image to obtain first image accuracy of the target analysis image; according to the first image accuracy of the target analysis image and the second image accuracy of each historical analysis image in the updated image pyramid, constructing an image change sequence according to an image sequence in the updated image pyramid; and determining the image adjustment step length of the target infrared object by using the image change sequence.

A method, a computerized apparatus and a computer program product for adaptive learning for image classification. The method comprises applying a set of classification models on a calibration dataset and on a production dataset, and calculating disagreement measurements over the predictions thereof on each dataset. Based on similarity measurement between the disagreement measurement of the calibration and the production datasets, being below a predetermined threshold, a data drift is indicated in the production dataset. The method further comprises determining a training dataset for training a classification model for the production dataset. The training dataset is selected over a plurality of sets of images ordered according to time intervals in which images therein are obtained. The selection is performed based on weights determined for the plurality of sets.

The present invention discloses a video frame interpolation method and apparatus. Among them, the method includes: obtaining a first image and a second image in the video to be frame interpolated, where the first image and the second image are adjacent frames in the video to be frame interpolated; respectively inputting the first image and the second image into two symmetric feature extraction units in a feature extraction network, and predicting the feature information of a target image through the feature extraction network, where the target image is an image used for frame interpolation of the first image and the second image at a target time; predicting the target image based on the feature information. The present invention solves the technical problem in the prior art that when frame interpolating a video, the frame interpolation effect is poor due to the influence of the input image order.

An information processing apparatus according to an embodiment of the present disclosure includes at least one memory storing instructions; and at least one processor that, upon execution of the instructions, is configured to operate as: an acquisition unit configured to acquire imaging order information and an optical image related to radiographic imaging, an identification unit configured to identify a radiation exposure field using the imaging order information and the optical image, a detection unit configured to detect a human body part in the optical image, and an analysis unit configured to, when a plurality of human body parts is detected in the optical image, analyze a human body part closest to the radiation exposure field using the optical image.

The present invention discloses a data processing method for a resistor array infrared imaging target simulation system, which relates to the technical field of data processing. The data processing method for the resistor array infrared imaging target simulation system includes: obtaining a target analysis image of a target infrared object simulated by a resistor array; updating an image pyramid of the target infrared object according to the target analysis image of the target infrared object, and the updated image pyramid includes a historical analysis image and a target analysis image of the target infrared object; performing blur degree recognition on the target analysis image to obtain a first image accuracy of the target analysis image; constructing an image change sequence according to the first image accuracy of the target analysis image and the second image accuracies of the respective historical analysis images in the updated image pyramid in the image order in the updated image pyramid; and determining an image adjustment step size of the target infrared object by using the image change sequence.

The present application discloses an analysis and processing method and system for gastric images based on AI, and relates to the technical field of image analysis and processing. The method includes: obtaining all gastroscopic images taken by a gastroscope, determining whether the gastroscopic images are valid, and screening to obtain valid images; obtaining gastric abnormalities of valid images, and screening to obtain main images; obtaining the viewing habits of the attending physician, and screening to obtain key images; extracting image information of key images, obtaining associated information of the image information, searching for gastroscopic images corresponding to the associated information and recording them as associated images; obtaining the diagnostic experience of the attending physician, selecting the presentation angles of key images and associated images, and obtaining key images after processing the images; sorting the key images according to the viewing habits of the attending physician, obtaining the image sequence, and packaging the key images according to the image sequence to form a gastroscopic image report. The present application improves the convenience of doctors in diagnosing diseases.

A method implemented by a computer is provided for detecting at least one characteristic of an object of interest in an image captured by an imaging device. The method includes receiving, from the captured image, an ordered set of images ordered in time, determining the presence of a characteristic related to at least one characteristic of an object of interest in each image of each subset of images, and using a local spatio-temporal processing module configured to annotate the subsets of images based on the determined characteristics in each image of each subset of images, analyzing one or more subsets of the ordered set of images. The method further includes using a global spatio-temporal processing module configured to improve the determined characteristics associated with each subset of images to process a set of feature vectors of the ordered set of images, and using a time series analysis module to represent at least one characteristic of an object of interest, and calculating, for each image, one or more values calculated using the improved characteristics and spatio-temporal information associated with each subset of images. Further, the method can include generating a report, data or electronic file, integrating with other reporting systems or electronic medical records, and / or generating an electronic display of at least one characteristic of an object of interest using a plurality of values associated with each image of each subset of the ordered set of images.

This invention proposes a method and system for extracting full business information from multiple power systems using OCR for certificate issuance, comprising: receiving uploaded electronic image data; using OCR image recognition technology to identify the image order number in the uploaded electronic image data, storing the identified electronic image data in an electronic image pool; and classifying and archiving the identified electronic image data in the electronic image pool.

To assist in enriching travel of a second user by using a travel history in which a first user has actually made a tour. A travel assistance terminal according the present disclosure includes: acquisition unit configured to acquire information regarding a recommended point determined based on circulation recording information including a plurality of images captured at each point by a first user and generated on the basis of an imaging order, the circulation recording information being information in which each imaging point of the images is associated with a corresponding point on a three-dimensional virtual space, and position information of a second user; and display unit configured to display a recommendation to move to the recommended point on a screen displayed from a viewpoint of the second user.

A method implemented by a computer is provided for detecting features of at least one object of interest in an image captured by an imaging device. The method includes receiving, from the captured image, an ordered set of images ordered in time, determining the presence of properties regarding features of at least one object of interest in each image of each subset of the images, and analyzing one or more subsets of the ordered set of images using a local spatio-temporal processing module configured to annotate the subsets of the images based on the determined properties in each image of each subset of the images. The method further includes processing a set of feature vectors of the ordered set of images using a global spatio-temporal processing module configured to improve the determined properties associated with each subset of the images, and calculating, for each image, one or more values calculated using the improved properties and spatio-temporal information associated with each subset of the images and representing features of at least one object of interest using a time series analysis module. Further, the method can include generating a report, data, or electronic file, integrating it into another reporting system or electronic medical record, and / or generating an electronic display regarding features of at least one associated object using a plurality of values associated with each image of each subset of the ordered set of images.

To provide an imaging control device or the like capable of reducing a burden on a patient while positioning efficiently in taking radiograph.SOLUTION: A medical imaging system 10A comprises: an acquisition unit which acquires imaging order information including information on positioning; a determination unit which determines whether the acquired imaging order information meets a predetermined condition; and a reporting unit which reports imaging support information 9a before the start of the positioning in a case where the imaging order information meets the predetermined condition.SELECTED DRAWING: Figure 1

1. Name of the product in this design: The main body of the intelligent content creation graphical user interface for electronic devices. 2. Purpose of this design: An electronic device. 3. The key design features of this product are the graphical user interface in the electronic device for which protection is sought. 4. The picture or photo that best illustrates the key design points: Design 1 Change State Diagram 1. 5. Design 1 is designated as the basic design. 6. Purpose of Graphical User Interface: A graphical user interface is used for content creation through intelligent agents, such as generating images or videos through intelligent agents. The part of the graphical user interface that requests protection is the main body of the graphical user interface for content creation by intelligent agents. 7. Human-computer interaction method of graphical user interface: In Design 1, when the user selects and marks the picture in the main view of Design 1 and clicks the "Magic Video" button, the graphical user interface changes from the main view of Design 1 to Design 1 Change State Figure 1 to display the picture order on which the generated video is based. When the user clicks the "Next" button in Design 1 Change State Figure 1, the graphical user interface changes from Design 1 Change State Figure 1 to Design 1 Change State Figure 2 to display the generated video and the video playback button. In Design 2, when the user selects and marks images in the main view of Design 2 and clicks the "Magic Video" button, the graphical user interface changes from the main view of Design 2 to Design 2 Change State Diagram 1 to display the image order on which the generated video is based. When the user clicks the "Next" button in Design 2 Change State Diagram 1, the graphical user interface changes from Design 2 Change State Diagram 1 to Design 2 Change State Diagram 2 to display the generated video and the video playback button. In Design 3, when the user clicks the "Magic Video" button in the main view of Design 3, the graphical user interface changes from the main view of Design 3 to Design 3 Change State Diagram 1 to display the image sequence on which the generated video is based. When the user clicks the "Next" button in Design 3 Change State Diagram 1, the graphical user interface changes from Design 3 Change State Diagram 1 to Design 3 Change State Diagram 2 to display the generated video and the video playback button. In Design 4, when the user clicks the "Magic Video" button in the main view of Design 4, the graphical user interface changes from the main view of Design 4 to Design 4 Change State Diagram 1 to display the image sequence on which the generated video is based. When the user clicks the "Next" button in Design 4 Change State Diagram 1, the graphical user interface changes from Design 4 Change State Diagram 1 to Design 4 Change State Diagram 2 to display the generated video and the video playback button. In Design 5, when the user clicks the "Magic Video" button in the main view of Design 5, the graphical user interface changes from the main view of Design 5 to Design 5 Change State Diagram 1 to display the image sequence on which the generated video is based. When the user clicks the "Next" button in Design 5 Change State Diagram 1, the graphical user interface changes from Design 5 Change State Diagram 1 to Design 5 Change State Diagram 2 to display the generated video and the video playback button. In Design 6, when the user clicks the "Magic Video" button in the main view of Design 6, the graphical user interface changes from the main view of Design 6 to Design 6 Change State Diagram 1 to display the image sequence on which the generated video is based. When the user clicks the "Next" button in Design 6 Change State Diagram 1, the graphical user interface changes from Design 6 Change State Diagram 1 to Design 6 Change State Diagram 2 to display the generated video and the video playback button. 8. Other situations requiring explanation: The portions of the graphical user interface shown by the dashed lines in the views of Design 1 to Design 6 do not constitute the parts protected by this design.

A medical image processing apparatus includes an obtaining unit configured to obtain a medical image based on imaging order information, and a determination unit configured to determine, using parameters obtained by machine learning, consistency between the imaging order information and the medical image.

The present application relates to the technical field of image detection, in particular to a panoramic image detection method and device based on image stitching, comprising: performing edge detection processing on each local detection image to obtain an edge image; extracting feature points from the edge image to obtain a feature point set of each local detection image; calculating the number of feature points and the proportion of feature point types in the overlapping area of the images according to the feature point set of each local detection image; and determining the stitching priority of the local detection image according to the number of feature points and the proportion of feature point types, combined with the image definition difference value. The present application determines the stitching priority according to the number and proportion of feature points, which helps to select the best image order and area in the stitching process, thereby reducing stitching errors and visual inconsistency and improving the overall quality of panoramic images.

An image forming system includes an image forming apparatus, a pressure-bonding processing apparatus, an inputting portion, and a controller. The controller changes, in a case that directions of a front surface and a back surface of a recording material inputting portion and different from the directions of the front surface and the back surface in which a pressure-bonding printed matter is capable of being properly prepared, an image formation order of image forming data to an order in which the pressure-bonding printed matter is capable of being properly prepared in the directions of the front surface and the back surface of the recording material inputted by the inputting portion.

METHOD FOR AUTOMATICALLY GENERATING AN ORDERED IMAGE SEQUENCE FOR THE APPLICATION OF DIFFERENTIATED IMAGE PROCESSING. A computer-implemented method for selecting and ordering a set of images for image processing of a sequence of images, said method comprising: First classification (CLASS1) of each image in the first set (ENS1) according to context classes (CLc); Extraction of a first specification (SPEC1) given as a function of at least one first identified context class, said first specification (SPEC1) comprising an expected number of images, a plurality of given views of each expected image and an order (ORD1) of said expected images; Second classification (CLASS2) according to view classes (CLv) of each image in the first subset;Selection of a series of images (S1) from the first subset of images containing a given number of images, each selected image corresponding to a given view; Ordering of said series of images. Figure for the abbreviation: Fig. 1;

The invention discloses an industrial DR equipment automatic defect detection method and system based on deep learning, and relates to the technical field of industrial nondestructive testing, and the method comprises the steps: obtaining industrial DR imaging data of a to-be-detected workpiece under a predetermined imaging attitude, and constructing an original image set according to an imaging sequence; and for the industrial DR imaging data in the original image set, based on the change consistency of the pixel gray in the spatial neighborhood, executing spatial continuity analysis, forming an abnormal region in which the gray change is continuously distributed in the space, and determining the abnormal region as a continuous gray abnormal region. Spatial continuity analysis is carried out on industrial DR imaging data, a continuous gray abnormal area is formed and identified, and a main extension direction is further determined based on a spatial distribution form of the continuous gray abnormal area in an image coordinate system, so that directivity description parameters are introduced in an abnormal area level, and the accuracy of the abnormal area is improved. And the continuous gray-scale abnormal region is not processed only as a gray-scale abnormal object any more.

Methods and system for filtering, sorting, and displaying images are provided. The method can include receiving a request to view two or more images associated with a patient and receiving a request to perform Computer Aided Detection and Diagnosis (CAD) on the two or more images. The method can include performing CAD on the two or more images. Performing CAD can include identifying at least one characteristic of each of the two or more images, respectively. The method can include sorting the two or more images to generate an image order, the image order determined based at least in part on the at least one characteristic of each of the two or more images. The two or more images can be transferred from the one or more computing devices to the client device, and the two or more images can be displayed in the image order.

The application discloses a kind of motion target detection method, system, electronic equipment and computer readable storage medium combined with foreground contour extraction, belong to motion target detection technical field.The method includes that CPU end obtains the multiple frames of images to be detected captured for the detection area to be detected, according to image order, corresponding background model is established;GPU end executes the following operation: according to current frame image, corresponding background model is acquired in real time, by VFCE algorithm, according to current frame image and corresponding background model, extract foreground contour image;By VIBE algorithm, current frame image is updated and foreground is extracted, and motion target entity is obtained;According to foreground contour image and motion target entity, obtain motion target sequence.In the process of motion target detection, external interference can be avoided, and clear motion target is obtained;Solve the problem of "motion target detection is susceptible to other factors interference, detection is not accurate" in prior art.

The invention discloses an image ordered regression prediction method and system based on fuzzy guidance of regional features. The method comprises the following steps: generating a fine-grained region-level pseudo tag for a to-be-graded image by using an offline region-level labeling module; after to-be-graded image features are extracted, region-level and channel-level ordered label fuzzy learning is performed on the extracted image features based on fine-grained region-level pseudo labels through a two-level fuzzy feature learning module, and learned fuzzy image representation is obtained. And representing the prediction grading probability distribution based on the blurred image as an ordered label prediction result. The method and the system are used for improving the accuracy of feature-based hierarchical boundaries and processing fuzzy ordered labels, and are particularly suitable for image classification tasks requiring detail sensitive decisions.

The present invention provides an information processing method that can suitably extract specific frames from contrast-enhanced video. [Solution] The information processing method acquires a contrast-enhanced video, calculates statistical values ​​of pixel values ​​for each frame constituting the contrast-enhanced video, and a computer performs a process to extract a specific frame from the contrast-enhanced video based on the statistical values. Preferably, the statistical values ​​are the variance or mean of the pixel values. More preferably, the information processing method extracts the frame in which the statistical values ​​take an extreme value in a graph where the first axis is the imaging order of the frames and the second axis is the statistical values ​​of each frame.

Provided are a radiography system (2), a radiography method, and a radiography program that can derive an appropriate imaging condition for general imaging in a radiography system (2) capable of executing fluoroscopy and general imaging in a switchable manner. A radiography system (2) derives an imaging condition in general imaging performed after fluoroscopy based on information used for dose control of radiation emitted from a radiation source (10) to a radiation detector (11) in the fluoroscopy and a preregistered imaging order (66) including the imaging condition in the general imaging.

An information processing apparatus generates list image data in which thumbnail images of image data included in an imaging data group imaged in a film camera mode are listed. The list image data is set in a template based on a maximum number of a captured image count in the film camera mode. The thumbnail images are disposed in the template in an imaging order.

The invention provides a tumor pathological image detection method. The tumor pathological image detection method comprises the following steps: sectioning an in-vitro tissue separated from a tumor focus along a preset plane to form a sectioning plane; the coloring agent is used for coloring the section cutting plane to form a to-be-detected object; translating, scanning and imaging along the profile contour of the to-be-detected object by using an imaging device so as to continuously obtain a plurality of local pathological images; and splicing the local pathological images according to the imaging sequence to form an annular image at least covering the profile contour, judging whether the annular image contains tumor cells or not through a machine learning algorithm, and judging that the in-vitro tissue contains a complete tumor when the annular image does not contain the tumor cells. According to the invention, the calculation cost for judging whether the annular image contains the tumor cells or not by a machine learning algorithm is remarkably reduced, and the detection time is remarkably shortened.

Methods and system for filtering, sorting, and displaying images are provided. The method can include receiving a request to view two or more images associated with a patient and receiving a request to perform Computer Aided Detection and Diagnosis (CAD) on the two or more images. The method can include performing CAD on the two or more images. Performing CAD can include identifying at least one characteristic of each of the two or more images, respectively. The method can include sorting the two or more images to generate an image order, the image order determined based at least in part on the at least one characteristic of each of the two or more images. The two or more images can be transferred from the one or more computing devices to the client device, and the two or more images can be displayed in the image order.

The invention provides a tumor pathological image detection method and electronic detection equipment. The tumor pathological image detection method comprises the following steps: sectioning an in-vitro tissue along a preset plane to form a sectioning plane, and staining the sectioning plane by a staining agent to form a to-be-detected object; determining an annular detection area completely covering the profile contour based on the profile contour, performing twice division on the annular detection area along the radial direction to form a plurality of fan-shaped sub-detection areas, reserving part of the fan-shaped sub-detection areas intersecting with the profile contour, and performing translation scanning imaging on the reserved part of the fan-shaped sub-detection areas to continuously obtain a plurality of local pathological images, splicing the local pathological images according to the imaging sequence to form a to-be-detected image area at least covering the profile contour, judging whether the to-be-detected image area contains tumor cells or not through a machine learning algorithm, and judging that the in-vitro tissue contains a complete tumor when the to-be-detected image area does not contain tumor cells. According to the invention, whether the tumor area is completely cut off can be rapidly and effectively judged, and the detection time is remarkably shortened.