821 results about "Performed Imaging" patented technology

In various aspects, microscope systems are described, comprising or corresponding to optical microscopes, such as for example a transillumination microscope or a fluorescence microscope. The microscope systems may be used independently or configured with or integrated into another device or system, such as an imaging mass spectrometer or imaging mass cytometer. In various embodiments of this aspect, the microscope system is used to obtain one or more images of a sample, such as at a variety of different light collection wavelengths and / or for a variety of different illumination conditions. The microscope systems can employ various optical components and configurations allowing for high throughput imaging, such as components for imaging the sample at suitable resolutions with a wide field of view and / or for spatially separating different detection channel wavelengths from light output (e.g., transmitted or emitted light) from the sample.

An imaging optic (23) serves to image an object field arranged in an object plane, in which a lithography mask can be arranged as the object to be imaged, with imaging light via an imaging beam path into an image field arranged in an image plane, in which a substrate onto which the image is to be formed can be arranged. The imaging optic (23) has at least one correction device (32). This device has a correction element (30) arranged in the imaging beam path, the imaging effect of which varies across the image field. Furthermore, the correction device (32) has a correction element holder (33) and a correction element drive unit (34). The correction element holder (33) is driven by the correction element drive unit (34) during an imaging phase of the imaging optic (23) and can be displaced along a correction element displacement direction (35) extending transversely to the imaging beam path.The result is an imaging optic whose imaging effect is improved to achieve a predetermined imaging result.

The application discloses a pharmaceutical raw material foreign matter detection method and system based on image analysis and a terminal, and belongs to the technical field of pharmaceutical raw material detection. The method comprises the following steps: performing image acquisition on the pharmaceutical raw material to obtain an initial image set; performing a pre-processing operation on the initial image set to generate a basic image set; and performing a foreign matter identification operation on the basic image set to determine a basic image containing foreign matter as a foreign matter-containing image. The method excludes position offset false positives through a process of first performing position correction and then performing review identification, improves correction accuracy by dividing the foreign matter-containing image into shape groups according to the shape features of the foreign matter and calculating the average offset of the groups, and dynamically optimizes the correction process through a closed-loop feedback mechanism of generating an updated offset value after review to re-perform position correction, thereby improving the accuracy, reliability and robustness of detection.

The application provides a complex terrain area elevation inversion method based on small unmanned aerial vehicle borne interferometric SAR. N-track small unmanned aerial vehicle flight tracks are set, the X-axis and Y-axis coordinates of the starting point and ending point of each track small unmanned aerial vehicle are unchanged, and the value of the Z-axis is gradually increased along the vertical direction. N-track echo data are obtained by the small unmanned aerial vehicle borne SAR according to the set tracks, and BP algorithm is used for imaging processing to obtain N SAR images. The offset of the SAR images of adjacent short baseline small unmanned aerial vehicles is obtained. The offset of the SAR images of long baseline small unmanned aerial vehicles is calculated based on the offset of the SAR images of small unmanned aerial vehicles, and the SAR images of long baseline are image matched. The SAR images after image matching are processed to obtain corresponding interference phase images, and the interference phase images are filtered by using Goldstein algorithm. Multi-baseline phase unwrapping is performed based on the interference phase of the interference phase images. The complex terrain area elevation inversion method of SAR is realized.

To provide a machine tool that can clean the machining chamber while taking into account the state of chip accumulation within the machining chamber. [Solution] The machine tool includes an imaging means for imaging the inside of the machining chamber of the machine tool that processes a workpiece, a determination means for determining the state of chip accumulation of the workpiece in the machining chamber based on the image obtained by imaging, a first nozzle for discharging coolant into the machining chamber, a pump for supplying coolant to the first nozzle, and a control means for controlling the output of the pump based on the state of chip accumulation.

This invention provides a testing method and apparatus for a metasurface structure detector, relating to the field of photodetector testing technology. The method includes: mounting the metasurface structure detector on a sample stage with its photosensitive surface facing an optical testing system, the optical testing system including a coaxially arranged laser irradiation optical path and an infrared imaging optical path; imaging the photosensitive surface using the infrared imaging optical path to obtain a surface image of the photosensitive surface; determining multiple test positions on the photosensitive surface based on the surface image, and planning scanning paths for the multiple test positions on the photosensitive surface according to the structural period of the micro / nano periodic structural unit and the laser irradiation optical path; controlling the sample stage along the scanning path to sequentially align the multiple test positions with the laser irradiation optical path, and sequentially emitting laser light to the multiple test positions through the laser irradiation optical path to obtain scanning data for the multiple test positions; and generating a physical field distribution map of the photoelectric properties of the metasurface structure detector based on the scanning data.

This application discloses an imaging device with an operating temperature range of -40℃ to +60℃, comprising a 4K high-definition lens and a detector for receiving images captured by the 4K high-definition lens. The 4K high-definition lens has a focal length of 50mm, a relative aperture of 1.25, and operates in dual bands: 0.43~0.656μm and 0.7~1μm. The detector has a pixel count of 3840×2160 and a pixel size of 2.9μm. The 4K high-definition lens employs a heat-free design using domestically produced spherical glass, resulting in a simple, compact structure and small size. It utilizes a high-dispersion material lens and a low-dispersion material glass bonded together to achieve dispersion matching. The combination of different lenses and the rational allocation of optical power ensure excellent optical performance. Furthermore, it is suitable for imaging in high-brightness daytime and low-light nighttime environments and can switch bands for imaging, ensuring clear images both day and night.

To provide an image display system that can generate sharpened images (clear and easy-to-view images) while achieving further compactness, excellent portability, and superior mobility. [Solution] The present invention provides an image display system comprising a first image display device, an image sharpening device, a second image display device, and a storage device, wherein the first image display device displays an image captured by an imaging device, the image sharpening device performs image sharpening processing on the image captured to generate a sharpened image, the second image display device displays the sharpened image, and the first image display device, the image sharpening device, and the second image display device are stored in the storage device.

This invention discloses a method for locating abnormally overheating components on circuit boards based on thermal images. Starting from the characteristics of the thermal image itself, it obtains difference images under normal and abnormal conditions, and performs image registration using an accelerated robust feature registration algorithm optimized based on the Laplacian operator. This ensures that the difference images under abnormal and normal conditions are well aligned after registration, resulting in a clear differential thermal image. Then, outlier detection is performed on the differential thermal image using the Laplacian distribution, obtaining a differential thermal image after outlier detection, thus initially identifying abnormally overheating regions and locating the abnormally overheating components. Finally, kernel density estimation is used to determine the number of K-means clusters, and the K-means algorithm is used to segment the differential thermal image after outlier detection, obtaining a K-means segmented image. Morphological opening-closing operations are then performed on the image to remove minute lines. The thermal image segmentation results of this invention can accurately provide information on abnormally overheating components, enabling accurate location and identification of these components, helping to narrow down the defect range and providing defect judgment information.

To enable high-precision visual inspection. [Solution] The appearance inspection device 1 comprises a first illumination unit 11 that illuminates the surface of the object to be inspected W, an imaging unit 13 that images the surface of the object to be inspected W illuminated by the first illumination unit 11, and an inspection unit (control unit 21) that inspects the surface condition of the object to be inspected W based on the image captured by the imaging unit 13. The first illumination unit 11 includes a light source 112 surrounding the central axis WA of the object to be inspected W, the normal A of the light-emitting surface 112a of the light source 112 is perpendicular to the central axis WA or within 45 degrees, and the length T of the light source 112 in the direction along the central axis WA is greater than or equal to the radius r of the light source 112 surrounding the central axis WA.

A system and method are provided for imaging the full surface of an elongated object moving along its longitudinal axis using a single imaging device. The system includes a linear imaging device including an imaging sensor having a plurality of pixels and a lens between the imaging sensor and the object. The lens projects radiation from different circumferential sections of a circumferential perimeter band of the object along different imaging paths onto different pixel sets of the plurality of pixels of the imaging sensor to map the entire circumferential perimeter band onto the pixels of the imaging sensor. An adjustable image reflector in an imaging path between the linear imaging device and a circumferential section of the circumferential perimeter band of the object adjusts the optical focusing of the circumferential section on a corresponding pixel set of the imaging sensor.

A method of preparing image job data for imaging a mask layer includes receiving at least one raster image file, preparing image job data for imaging the mask layer, the preparing comprising: including data relative to the at least one raster image file in the image job data so as to image at least one corresponding image area of the mask layer, determining a non-functional area of the mask layer outside of the at least one corresponding image area; and including filling imaging data in said image job data for imaging said non-functional area.

The application discloses a parking effect evaluation method, an electronic device and a storage medium. The parking effect evaluation method comprises the following steps: acquiring first image data collected by a vehicle-mounted surround-view camera; performing image processing on the first image data to obtain a target bird's-eye view; performing parking space detection processing on the target bird's-eye view to determine parking space corner point coordinates; and evaluating the parking effect according to the parking space corner point coordinates and vehicle size parameters. In this way, the first image data is collected by the vehicle-mounted surround-view camera, the target bird's-eye view is obtained through image processing, the parking space corner point coordinates are determined through parking space detection, and the parking effect evaluation is completed in combination with the parking space corner point coordinates and the vehicle size parameters, thereby solving the problems that the automatic parking effect evaluation depends on preset scenes and other additional auxiliary conditions, the adaptation range is limited, and the evaluation data is difficult to obtain, and effectively improving the accuracy of the evaluation result and the ability to adapt to complex and variable actual parking scenes.

In order to support imaging of a radiographic imaging apparatus including a radiation source that emits radiation, and an optical camera (21) that is mounted on the radiation source and that captures an optical image (G1) of a subject in a direction from the radiation source, a processor (41) derives a relative angle between the radiation source and a target plane; and displays the optical image (G1) and an angle indicator representing the relative angle and a target angle on a display (25) mounted on the radiation source.

The present application relates to the technical field of image processing, and particularly relates to a scenic spot image processing method and device, equipment and a storage medium, the method comprising obtaining a to-be-processed scenic spot image, determining a target region in the to-be-processed scenic spot image, removing the target region in the to-be-processed scenic spot image to obtain a removed image; obtaining image attribute information of the to-be-processed scenic spot image, obtaining a similar image corresponding to the removed image according to the image attribute information; determining a target region in the similar image, completing the removed image according to the target region in the similar image to obtain a completed image; inputting the completed image and the image attribute information into a preset image inpainting neural network model to perform image inpainting on the completed image, and obtaining an inpainted image of the to-be-processed scenic spot image, which realizes the elimination of sundries and inpainting of the to-be-processed scenic spot image, and meets the image processing requirements of users.

This invention provides a method and apparatus for testing the mechanical properties of bolted composite materials in a single shear test, relating to the field of material testing and analysis. The method includes: calculating pixel equivalents and establishing a displacement conversion relationship between image displacement and actual physical displacement; adjusting the front and rear positions of the first extensometer clip and / or the second extensometer clip using positioning screws based on the spot deviation; activating the extensometer and high-speed camera to acquire extensometer displacement data sequences and tracer point sequence images, performing image displacement conversion processing on the sequence images to obtain a high-speed camera displacement data sequence; calculating the displacement deviation between the extensometer displacement data sequence and the high-speed camera displacement data sequence to generate a corrected extrusion deformation; and calculating the mechanical property parameters using real-time load, the corrected extrusion deformation, and preset specimen geometric parameters. This achieves high-precision measurement of extrusion deformation and automatic calculation of multi-dimensional mechanical property parameters in a single shear test.

The application discloses an ophthalmic disease image classification system based on a big data model, which comprises a data set construction module, an image segmentation module and a model training module.The data set construction module is used for collecting eye images of patients with different ophthalmic diseases in an ophthalmic clinic and performing image marking processing to construct training and test data sets.The image segmentation module adopts YOLOv7 to perform image segmentation on the images taken by the smart phone to obtain eye images containing only the part below the eyebrows and above the zygomatic arch.The model training module adopts a five-fold cross-validation method to train the model on the images, and applies data enhancement technology, white balance adjustment and a transfer learning algorithm.The application relates to the technical field of ophthalmic disease image classification.The ophthalmic disease image classification system based on the big data model has high classification accuracy for diseases such as cataracts, keratitis and pterygium in the development stage test set and different clinical evaluation stages.

An Inline Inspection Tool is provided to image a pipeline as it travels through it, in order to assess damage of the pipeline, such as cracks, leaks and weld problems. The tool is created from several stacked sensor modules removably connected to each other. Each module provides imaging of a certain section of the pipeline and then multiple imaged sections may be combined to visualize the entire pipeline. This creates a versatile tool that can be customized onsite for each job, using different sensors or imaging modes.

The tip shape of the cutting blade can be inspected without complicating the device configuration. [Solution] The inspection member 1 is an inspection member for inspecting the tip shape of a cutting blade, and comprises a main body portion 10 and a plate-shaped inspection sample portion 20 protruding from the outer circumference of the main body portion 10. The cutting blade tip shape inspection method is a cutting blade tip shape inspection method using the inspection member 1, and comprises a holding step of holding the main body portion 10 with a holding table, a cutting groove forming step of making a cutting groove from the upper surface 21 to the lower surface 22 by making a cutting groove into the inspection sample portion 20 with a rotating cutting blade, and an inspection step of imaging the cutting groove from the upper surface 21 side or the lower surface 22 side and inspecting the shape of the cutting groove from the imaged image.

The application discloses a coaxial folding and reflecting type infrared cryogenic optical system and a mounting, adjusting and testing method thereof. The optical system is composed of a main optical system, a main system support frame, a rear optical path infrared lens group, an infrared lens group lens seat and a rear optical path mounting bottom plate. In order to improve the adjusting precision and simplify the adjusting freedom, precise adjusting equipment such as an interferometer, a laser tracker, a centering instrument and a theodolite is adopted, the main optical system and the rear optical path infrared lens group are first adjusted as independent units and then are precisely integrated and tested. In order to reduce the testing period and cost of the cryogenic optical system, a testing compensation lens is inserted into the cryogenic optical path, so that the cryogenic optical system can be imaged and tested and the image quality can be evaluated in a normal temperature and pressure environment. The method has the advantages of simple principle, high precision, short period and low cost and is suitable for the mounting, adjusting and testing of the coaxial folding and reflecting type infrared cryogenic optical system.

The application relates to a deep learning-based image processing method, device, equipment and medium. The method comprises the following steps: acquiring a to-be-processed dynamic video stream, wherein the to-be-processed dynamic video stream comprises to-be-processed images of each video frame; acquiring a hardware resource state parameter corresponding to a video frame of the to-be-processed image, and calculating a corresponding hardware state value of each to-be-processed image based on the hardware resource state parameter; calculating the image complexity and the interframe difference degree of the to-be-processed image; performing image processing deep learning model state judgment on the to-be-processed image based on the hardware state value, the image complexity and the interframe difference degree, and generating an image processing deep learning model state judgment result of the to-be-processed image. The method can realize hardware adaptation and dynamic model architecture fine-tuning, and significantly improve the model inference efficiency, image processing quality and hardware resource utilization rate of video stream processing.

The application discloses an AI product image enhancement method based on fusion segmentation, and belongs to the technical field of image enhancement, comprising the following steps: constructing a data set of input images of products by using real shooting synthesis data; encoding the input images into latent noise vectors and illumination condition vectors; performing image feature extraction on the input images to obtain image feature vectors; simultaneously extracting panoramic illumination feature vectors; performing multi-modal attention fusion on the image feature vectors and the panoramic illumination feature vectors to obtain fused feature vectors; inputting the fused feature vectors into a segmentation layer to generate product masks and process background modes; and inputting the feature vectors with the masks into a generation layer to obtain generated images according to a speed predictor iteration refinement. The application realizes accurate matching of materials and illumination, restores the real texture of products, and enhances visual attraction by using the above method.

This disclosure provides an image segmentation method, apparatus, medium, and program product, relating to the field of image processing technology. The method includes: acquiring an image to be segmented containing a target to be segmented; segmenting the image to be segmented using an image segmentation module to obtain an image segmentation result for the target to be segmented; detecting image regions containing the target to be segmented in the image to be segmented using a prompt generation module of an image segmentation model to obtain a prompt image containing prompt information for the image region; and then performing image segmentation based on the prompt information in the image information using the aforementioned model's segmentation module to obtain the image segmentation result. This eliminates the need for a separate external detector or manual annotation, reducing the cost of image segmentation.

Device for imaging a circuit breaker contact using an endoscopic probe. The present invention relates to a device (1) for imaging a circuit breaker contact using an endoscopic probe (13) comprising a probe body (21) and an optical fiber (23). The device (1) comprises: - a guide (15), configured to penetrate at least partially into an escape chamber of the circuit breaker, the guide (15) comprising at least one straight cavity configured to receive the optical fiber (23) and guide the optical fiber (23) to a point near the circuit breaker contact; and - a stop member (17), configured to hold the optical fiber (23) longitudinally by fixing a distance between a distal end (25) of the optical fiber (23) and the circuit breaker contact and an angle between a longitudinal axis of the circuit breaker and a longitudinal axis of the optical fiber. Figure for the abstract: Figure 1

This invention provides a method and system for lithium ore micro-image segmentation based on an improved Unet model, belonging to the field of machine vision and image segmentation. The method constructs a lithium ore micro-image dataset and acquires micro-images of lithium ore samples to be tested, performing image preprocessing; pixel-level annotation of the micro-image dataset is performed to generate corresponding mineral category mask images, which are then segmented and data augmented; a micro-image segmentation model is constructed and improved based on the Unet algorithm, constructing a cascaded structure of depthwise convolution and pointwise convolution in the downsampling path, embedding an anti-adhesion dynamic serpentine convolution module in the skip connections, introducing a channel-space dual-path adaptive attention mechanism module, and constructing a multi-scale feature aggregation module in the upsampling path; a mature model is obtained after training; the input micro-image to be tested yields a preliminary segmented image, which is then subjected to adaptive area filtering. This invention improves the segmentation accuracy and precision of lithium ore micro-images.

This technology provides the ability to monitor the conditions around a crane, even when it is not operating normally, including during crane lifting operations. [Solution] A peripheral monitoring system MS according to one embodiment of the present disclosure includes an imaging unit 40 provided on the crane 100 for imaging the area around the crane 100, and a display unit 120 that displays a peripheral image representing the area around the crane 100 based on the imaging unit 40 when the crane 100 is transported in a state loaded on a trailer, or when the crane 100 is disassembled or assembled before or after such transport.

The application provides an infrared small target cloud-penetrating continuous tracking method and belongs to the technical field of target detection and tracking. In the application, step one is a feature extraction process; firstly, a DLA-34 network is used to perform image feature extraction on an original image, and then a multi-scale apparent feature is extracted through an encoding network stacked by three convolution layers; a target prediction frame based on apparent matching is obtained through a hierarchical guided motion estimation module; step two is a training process; a loss function is constructed through a constraint probability cost volume; step three is an inference process; a measurement method based on apparent features for an infrared small target track is designed, the prediction frame is matched with a detection result, the matched track is replaced by the detection result, the un-matched track retains the prediction frame until successful matching, and the intermediate discontinuous part is filled after the track is successfully matched. The application can effectively adapt to scenes with lack of target spatial features, weak energy and unclear motion state, and can enhance the tracking performance of the infrared small target.

A method for inserting a puncture device through the skin of a subject includes the steps of: applying a skin cover unit to the skin of the subject at the puncture site; imaging the anatomical structures and / or the puncture device beneath the skin of the subject at or near the puncture site using an ultrasound probe on the upper side of the base in a distal direction; and inserting the puncture device at the puncture site.