152 results about "Image type" patented technology

The invention relates to the technical field of medical report generation, and discloses a medical image automatic annotation and report generation system which comprises a preprocessing module, a hierarchical feature extraction module, a semantic annotation module, a guide generation module, a diagnosis reasoning module and a man-machine cooperation interface. According to the method, through standardized preprocessing, hierarchical feature extraction and automatic generation of the annotation and the report, the processing efficiency is greatly improved, and the manual load is reduced; secondly, on the basis of hierarchical feature extraction and semantic and visual embedding alignment, feature support and semantic mapping precision of annotation and reporting are enhanced, and result accuracy and cross-scene consistency are improved; meanwhile, multi-modal alignment processing and multi-dimensional information fusion enhance the adaptability of the system to different image types, generate a structured report conforming to the clinical process and improve the clinical applicability; in addition, a man-machine cooperation feedback mechanism forms a parameter optimization closed loop, so that the system dynamically adapts to new scenes and specifications, and continuous improvement of generalization ability is realized.

The invention discloses a complex document recognition method based on layout analysis and OCR (optical character recognition) and a medium. Obtaining a to-be-recognized document image in real time, and performing preprocessing operation through a preprocessing module to obtain a to-be-recognized standard document image; processing the to-be-identified standard document image through a layout analysis module, and obtaining at least one target area image, a target area image type and an area vision matrix feature in combination with a layout analysis strategy method; performing text analysis on each target area image through a multi-mode OCR engine module according to the type of each target area image to obtain each text semantic analysis result and an area semantic matrix feature; obtaining a current visual text fusion feature through a multi-modal attention fusion module; and generating and feeding back a complex document identification output result according to the current visual text fusion feature. The problem that the accuracy is poor due to the fact that irregular layouts cannot be processed is solved, and the accuracy and flexibility of complex layout recognition are improved.

To provide a gaming machine that enhances the enjoyment of the game by utilizing presentations that suggest reliability based on the player's choices. [Solution] In the pre-performance, one of several candidate images is selected as the pre-selected image, and in the post-performance, one of several candidate images is selected as the post-selected image. When the combined performance is executed in state A, the reliability is higher when the pre-selected image and post-selected image are of the same type than when they are of different types. When the performance is executed in state B, which is different from state A, the reliability is higher when the pre-selected image and post-selected image are of different types than when they are of the same type.

To provide a gaming machine that enhances the enjoyment of the game by utilizing presentations that suggest reliability based on the player's choices. [Solution] In the pre-performance, one of several candidate images is selected as the pre-selected image, and in the post-performance, one of several candidate images is selected as the post-selected image. When the combined performance is executed in state A, the reliability is higher when the pre-selected image and post-selected image are of the same type than when they are of different types. When the performance is executed in state B, which is different from state A, the reliability is higher when the pre-selected image and post-selected image are of different types than when they are of the same type.

This invention belongs to the field of image detection technology, specifically a method for detecting power transmission line equipment based on a lossless data augmentation strategy. The method includes the following steps: establishing an image detection model for detecting various types of power transmission line equipment based on different image types in the original image set in the database; preprocessing the images of the power transmission line equipment to be detected, converting the COCO format target bounding box annotations to YOLO format to meet the needs of the target detection task; setting training parameters and training the established image detection model to obtain an improved YOLOv10 model; inputting the preprocessed power transmission line equipment image into the improved YOLOv10 model to obtain a data-augmented image, and then detecting it to determine the type of power transmission line equipment. This invention exhibits excellent detection performance in complex power transmission environments, effectively improving the monitoring efficiency of power transmission equipment and providing a reliable solution for ensuring power supply.

1. The name of the design product: image type fire detector (SKU4). 2. The use of the design product: the design product is used for fire detector. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The present application relates to the technical field of industrial surface defect detection, and particularly relates to a phase deflection detection method based on asymmetric sampling and multi-scale gradient fusion, which comprises the following steps: firstly, extracting several phase shift phase images in horizontal and vertical directions, and using a region interpolation algorithm to down-sample and reduce dimensions to reduce calculation amount and suppress noise; based on a four-step phase shift method, demodulating wrapped phase and calculating multi-class reflection component images, and completing phase unwrapping through vectorization one-dimensional path accumulation; for different image types, using bicubic, nearest neighbor and bilinear differential up-sampling schemes to restore original resolution; performing small, medium and large three-scale gradient extraction on unwrapped phase, introducing weight coefficients to fuse features through a weighted maximum absolute value method; finally, generating two types of defect detection maps of gradient amplitude and gradient direction; the present application can greatly reduce calculation cost, and simultaneously consider different scale defect detection.

The application discloses an adaptive analysis method of unstructured geological reports and relates to the technical field of tunnel and underground engineering informatization, and the method comprises the following steps: automatically identifying the type of a report image based on a multi-dimensional characteristic fingerprint library; calling a dedicated preprocessing pipeline to extract a pure data area according to the identified type; constructing a coordinate mapping system from pixels to physical quantities; extracting structured geological parameters by adopting a color block type or a curve type strategy; and realizing parameter self-optimization through a feedback-driven quality checking closed loop, so that the automatic analysis difficulty of multi-style geological report images is solved.

The application discloses a kind of based on the improved U-net's ultrasonic image's disassembly method, it is related to ultrasonic image technical field, by combining depth learning technique and image post-processing algorithm, can efficiently handle ultrasonic image type (single figure, double jigsaw, four jigsaw) The identification of operation, ultrasonic regional map contour segmentation and jigsaw disassembly, through the depth learning framework of U-net network, in combination with the feature extraction capability of ResNet50, efficient classification and segmentation of jigsaw image are realized, compared with traditional image processing method, the present application can process large-scale different organ tissue ultrasonic image in short time;Through accurate classification and segmentation, the contour of ultrasonic region in ultrasonic image can be accurately extracted, and jigsaw is effectively disassembled, the integrity of ultrasonic image is restored, avoids the case of misremoval or loss of information, and has wide clinical application prospect.

Disclosed herein are innovations for bitstreams having clean random access (CRA) pictures and / or other types of random access point (RAP) pictures. New type definitions and strategic constraints on types of RAP pictures can simplify mapping of units of elementary video stream data to a container format. Such innovations can help improve the ability for video coding systems to more flexibly perform adaptive video delivery, production editing, commercial insertion, and the like.

The utility model discloses a multi-source target detection device, and relates to the field of spectral detectors, a hyperspectral imaging module comprises a movable imaging lens protruding out of a mounting shell, an imaging spectrometer communicated with the imaging lens, and a detector mounted at the output part of the imaging spectrometer; the RGB camera and the imaging lens are located in the same acquisition direction, and a lens of the RGB camera is embedded into the surface of the shell to acquire an RGB image; the push-sweeping module is mounted on the inner wall of the mounting shell and comprises a driving motor, a sliding rail and a push-sweeping platform; the push-broom platform is mounted on the slide rail, the imaging lens is embedded in a mounting hole of the push-broom platform, and light enters through a slit at the entrance of the spectrometer; the push-scan platform is controlled based on the driving motor and moves along the sliding rail, and a hyperspectral image is obtained through push-scan. According to the scheme, the problems of poor precision and difficulty in correction of aircraft push-scan imaging are solved through the built-in push-scan module, and image type diversification is realized through the built-in multifunctional camera module.

The invention relates to the technical field of fusion devices, in particular to a vacuum inner structure of an imaging type neutral particle analyzer. The vacuum inner structure comprises a first connecting shell which is of a hollow structure, and one end of the first connecting shell is used for being connected with the vacuum chamber side wall of the fusion device; the second connecting shell is of a hollow structure, and one end of the second connecting shell is connected to the other end of the first connecting shell; the first mounting base plate covers one end of the second connecting shell, and a particle channel is formed in the middle of the first mounting base plate; the scintillator screen is mounted on the side, right facing the second connecting shell, of the first mounting substrate; the stripping film covers the end part of one end of the particle channel; and the second mounting substrate is mounted on the first mounting substrate and is provided with a collimation channel, one end of the collimation channel directly faces the stripping film, the other end of the collimation channel is provided with a collimation slit, the collimation slit can be used for ion injection, and the probability of deformation of the whole structure in the vacuum baking process is reduced.

This application discloses a multimedia material management method, apparatus, device, and storage medium, comprising: upon receiving a selection operation based on a material type selection interface, displaying a material list corresponding to the material type, wherein the material list includes a material tag for each material content and a corresponding first operation control, and the material type includes one or more of image type, video type, and text type; upon receiving a click operation on the first control, obtaining the corresponding basic material content according to the material tag corresponding to the first control; and forwarding the basic material content to the target application. This solution can solve the technical problem of low efficiency in multimedia material management, allowing users to quickly find the basic material content of the corresponding material type through selection on the material type selection interface, significantly improving the efficiency of multimedia material search, and thus improving the overall efficiency of multimedia material management.

The invention relates to the technical field of big data analysis, and discloses a neodymium iron boron magnet performance prediction method based on big data analysis, and the method comprises the steps: obtaining and preprocessing multi-source heterogeneous data; performing multi-modal feature extraction and coding to obtain numerical value, time sequence and image type feature vectors; performing dynamic multi-modal fusion on the feature vectors; and inputting the fused feature vector into a depth prediction model, and outputting a performance prediction value. The system comprises a data acquisition and integration module, a data preprocessing and cleaning module, a multi-modal feature extraction and coding module, a dynamic multi-modal fusion module and a depth prediction model module. By the adoption of the technical scheme, the data utilization rate and prediction accuracy can be improved, prediction errors can be reduced, scientific basis and decision support are provided for research, development and production of the neodymium-iron-boron magnet, and product quality improvement and cost reduction are facilitated.

Described herein are method, system, and apparatus for correlating medical images with a medical report. An apparatus may obtain a plurality of medical images of a patient and a medical report for the patient, wherein the plurality of medical images may be associated with respective sequence labels and respective view labels, and wherein the medical report may include multiple diagnoses. The apparatus may determine and fuse respective image-type embeddings and image-content embeddings for the plurality of medical images into a combined image feature representation. The apparatus may further encode the features of the medical report into a text feature representation and calculate a similarity score based on the image feature representation and the text feature representation to indicate a correlation between the medical images and the medical report.

The invention discloses a digital education resource sharing method and system based on image contrast enhancement, and belongs to the technical field of digital education resource processing. Through typed feature extraction and association library construction, an accurate feature basis can be provided for subsequent adaptive enhancement, it is ensured that core details of different disciplines and types of education images are effectively identified and reserved, and different image types are adapted through feature weight vectors to realize type adaptive enhancement; a parameter range is constrained through a projection operator, noise amplification caused by excessive enhancement or detail loss caused by insufficient enhancement is avoided, and robustness can be effectively improved; initial fast enhancement and steady-state noise suppression are both considered through fractional order time-varying gain, and dynamic balance is achieved; through feature matching verification, it is ensured that the key details of the enhanced image and the original type are highly consistent; and over-enhancement or under-enhancement is avoided by using an iterative adjustment mechanism, and adaptive parameter optimization is realized.

The invention discloses an answer correction method, a correction model training method and a related device, and relates to the technical field of data processing, and the method comprises the steps: obtaining answer context data, including first data of an image type and second data of a text type, generating a first visual token set according to the first data through a correction model after reinforcement learning training, the first visual token set is subjected to token screening, a correction result is generated according to the first visual tokens reserved after screening and the second data, rewards used in the reinforcement learning process of the correction model comprise an accuracy reward and a token screening reward, and the accuracy reward and the token screening reward are used for correcting the correction result. The accuracy reward is used for encouraging the model to retain visual tokens with high contribution degree to correction accuracy in token screening, and the token screening reward is used for encouraging the model to retain few visual tokens in token screening. According to the method, the correction model is trained by reinforcement learning through double rewards, so that the correction efficiency is improved by screening out redundant visual tokens under the condition of ensuring high correction accuracy.

Described herein is a computer implemented method for generating a plurality of synthesised designs based on a selected design that includes a first element. The method includes accessing design generation data that includes source data and field association data. The source data defines a first field and a first design generation record that defines a first content item that is an image-type content item and that is associated with the first field. The field association data defines a first association between the first field and the first element. The method further includes generating a first synthesised design that is based on the selected design and that is generated such that the first element of the selected design is updated in the first synthesised design using the first content item.

An album image tag folding and categorization preview method, which aims to improve image management efficiency and browsing experience. The method includes key steps such as image group generation, main album collection folding and tag floating layer display, group tag information editing and display, and expansion of the main album collection and sub-tag display. A user may freely select images to generate an image group, and form a main album collection through folding and accommodating, while a tag floating layer is superimposed to intuitively present group tag information. The group tags and sub-tags are editable to provide more detailed descriptions of image content. The main album collection may be expanded to view detailed images and sub-tags. The invention supports multiple image types, offers intelligent interaction and quick search and locating functions, and improves the album management process and browsing experience.

The disclosed approach performs image compression using a variational auto-encoder that is capable of greater compression than conventional approaches while maintaining high fidelity of the decompressed image. Examples persist a bottleneck layer output of a variational auto-encoder into a compressed image in the form of potential tensors. The potential tensor is decompressed into a restored image in the pixel space by a variational self-decoder. In some examples, different encoder / decoder pairs are trained on a particular image type based on feature attributes. For example, maps have lines that are narrower compared to their length (e.g., with high aspect ratios), which differ from features within photographs of persons and scenes. Some examples utilize contrast language image pre-training (CLIP) and / or bootstrap language image pre-training (BLIP) models to store inserts, each of which is associated with a compressed image to enable a natural language search of a set of compressed images without requiring decompression.

This disclosure provides a method, apparatus, and related equipment for deploying a sandbox runtime environment, relating to the field of software technology. The method includes: obtaining a configuration file of a target application, wherein the configuration file contains performance and / or security requirements information of the target application; determining the target sandbox runtime environment and the corresponding container image type for deploying the target application based on the performance and / or security requirements information of the target application; performing completion processing on the configuration file based on the target sandbox runtime environment and the corresponding container image type; and sending the completed configuration file to a container management cluster, so that the container management cluster creates a container image corresponding to the target sandbox runtime environment based on the completed configuration file to run the target application. This disclosure can effectively simplify the application environment deployment process, improve the efficiency of application environment deployment, and reduce the operation and maintenance costs of application environment deployment.

To provide gaming machines that prevent a decline in the enjoyment of gaming. [Solution] The system comprises a game control means capable of executing a predetermined game, an effect control means capable of executing a predetermined effect, a display device (image display device 50) capable of displaying an image, and a light-emitting device (frame lamp 53) capable of emitting light. The display device is capable of executing a specific image effect that displays a specific image including a first color, a second color, and a third color. The light-emitting device is capable of executing a specific light-emitting effect that includes emitting light with the first color, a second color, and a third color. A specific composite effect may be executed in which the specific image effect and the specific light-emitting effect are executed at the same time. A specific single image effect may be executed in which the specific image effect is executed but the specific light-emitting effect is not. The number of types of specific images related to the specific single image effect is different from the number of types of specific images related to the specific composite effect, with the number of specific images related to the specific composite effect being greater than the number of specific images related to the specific single image effect.

An image scanning positioning assistance system includes an image scanning device, an image display device, a storage device, and a processing device. The image scanning device generates a scanned image signal. The image display device displays a scanned image. The storage device stores multiple image types. The processing device calculates first classification probability values of the multiple image types corresponding to the scanned image signal, and determines whether the scanned image signal is a standard image. When the scanned image signal is the standard image, the processing device generates a standard image notification signal, and the positioning assistance notifying device generates a standard image notification. Otherwise, the processing device generates a non-standard image notification signal, and the positioning assistance notifying device generates a non-standard image notification. Therefore, the positioning assistance notifying device can notify an operator of the image scanning device for determining whether the operator is scanning accurately.

A monitoring system for a vehicle includes an imaging device configured to capture a first image type and a second image type. A first illumination source is configured to emit a flood illumination captured by the imaging device in the first image type. A second illumination source is configured to emit an illumination pattern captured by the imaging device in the second image type. A processor is configured to extract a 2D skeletal representation of a vehicle occupant from the first image type and extrapolate a 3D skeletal representation of the vehicle occupant. The processor is further configured to generate at least one of a communication to the vehicle occupant to change a posture or a signal to a vehicle control system to move at least one of a position of a seat or a position of a steering wheel.

To provide gaming machines that prevent a decline in the enjoyment of gaming. [Solution] The system comprises a game control means capable of executing a predetermined game, an effect control means capable of executing a predetermined effect, a display device (image display device 50) capable of displaying an image, and a light-emitting device (frame lamp 53) capable of emitting light. The display device is capable of executing a specific image effect that displays a specific image including a first color, a second color, and a third color. The light-emitting device is capable of executing a specific light-emitting effect that includes emitting light with the first color, a second color, and a third color. A specific composite effect may be executed in which the specific image effect and the specific light-emitting effect are executed at the same time. A specific single image effect may be executed in which the specific image effect is executed but the specific light-emitting effect is not. The number of types of specific images related to the specific single image effect is different from the number of types of specific images related to the specific composite effect, with the number of specific images related to the specific composite effect being greater than the number of specific images related to the specific single image effect.

The invention provides a DICOM file processing method and device, equipment, a medium and a product. The method comprises the steps of obtaining a to-be-processed DICOM file, and performing anomaly detection and preprocessing on the to-be-processed DICOM file; according to the preprocessed non-abnormal DICOM file, analyzing the non-abnormal DICOM file to obtain analyzed multi-modal image data and metadata, and carrying out persistence processing on the analyzed multi-modal image data and metadata; identifying an image type of the multi-modal image data, and calling a data display template corresponding to the image type; and screening target metadata associated with the image type from the metadata after persistence processing, and filling the target metadata and the analyzed multi-modal image data into a data display template to form an image display report. The metadata of the DICOM file can be quickly obtained, and the overall efficiency of medical image data processing, image reading convenience and the standardization level of image report generation are improved.

A display control system includes a meeting acquisition processor that acquires meeting information related to a meeting; a video image acquisition processor that acquires video image information corresponding to a video image capturing a user participating in the meeting; a determination processor that determines an image type of an image to be displayed on a meeting terminal on the basis of the meeting information acquired by the meeting acquisition processor; and an output processor that outputs an image corresponding to the video image information acquired by the video image acquisition processor and the image type determined by the determination processor, to the meeting terminal.

1. The name of the design product: fire detector (SKU7 image type). 2. The use of the design product: the design product is used for fire detector. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view. 5. The right view is symmetrical with the left view, and the right view is omitted; the bottom view is symmetrical with the top view, and the bottom view is omitted.

To improve interest in a game.SOLUTION: In the game machine including a display means capable of displaying a plurality of kinds of images, one of the plurality of kinds of images is a specification-related image related to the specifications of the game machine.SELECTED DRAWING: Figure 37