9results about How to "Reduce artifacts" patented technology

This invention provides a cathode-unitized X-ray source, a static CT imaging system, and an image enhancement method, comprising: a vacuum tube; a cathode end for emitting electron beams, the cathode end including an exposure control module and multiple electron emission units arranged in a matrix on the same side of the exposure control module, all electron emission units being independent and electrically connected to the exposure control module; an anode target bombarded by the electron beam, the anode target including an anode body and a target surface formed on the anode body, the target surface being located on the emission path of the electron emission units; when the exposure control module receives an external control signal, it establishes a voltage line between the selected electron emission unit and the exposure control module, the electron emission units emitting electrons one by one or row by row toward the target surface, and the target surface reflecting X-rays to a window under the bombardment of electrons. This invention can increase the scanning range, improve the image quality of static CT, and extend the lifespan of the X-ray source.

A physiological mechanical signal monitoring system and method utilizing motion state to suppress artifacts, belonging to the field of biomedical signal monitoring and processing technology, aims to improve the existing distributed multi-node vibration and physiological signal acquisition systems, which suffer from severe crosstalk between multiple channels, signal aliasing caused by artifacts, and feature distortion, failing to meet the requirements of high-fidelity, multimodal dynamic acquisition. Key technical points: The signal monitoring system includes a multi-point distributed acquisition module, a motion state recognition module, an artifact detection and adaptive filtering module, and a main control and signal fusion module. The main control and signal fusion module is used to fuse and reconstruct the multi-channel physiological mechanical signals after artifact suppression processing, outputting high-fidelity physiological signals. This invention significantly reduces the coupling effect between different channels caused by environmental vibration, body motion impact, and matrix resonance through independent support of multiple spatial nodes and isolation of mechanical paths, significantly improving the spatial discrimination ability and original independence of the signals. This invention achieves multi-point physical isolation at the structural level, and then combines vector superposition to achieve preliminary noise reduction, effectively reducing artifacts caused by non-target actions and environmental disturbances.

This invention relates to a video object removal method based on a text-based video model and learnable negative tokens, comprising: acquiring the original video to be processed and a specified target to be removed; segmenting the target to be removed using a video segmentation model to generate a corresponding video mask sequence; preprocessing the original video and the video mask sequence to obtain masked video latent features and mask latent features; constructing an object removal model based on a text-based video model, wherein the object removal model retains the cross-attention module of the pre-trained text-based video model; setting the text prompt input to empty and introducing learnable negative tokens; inputting the masked video latent features, mask latent features, and negative tokens into the object removal model; the object removal model processes the negative tokens through the cross-attention module, suppressing object generation features within the mask region, and generating filling content based on video background information; and outputting the video after removing the specified target.

This invention relates to the field of bearing processing equipment technology, and provides a belt feeding device for conveying bearing races, including a base and a plate conveyor belt. A bracket is fixedly connected to the top of the base, and rollers are fixedly installed on both the top and bottom of the bracket. The plate conveyor belt is fixedly connected to the outside of the rollers, and a left support plate is fixedly connected to one side of the plate conveyor belt. A limit mechanism is provided inside the left support plate. By setting the limit mechanism, this invention allows the bearing to be conveyed upwards by the plate conveyor belt. When it rotates to the electromagnetic groove, the conductive head is squeezed and pushes the conductive column into the right electromagnetic attraction block. Current is transmitted through the conductive column to the left and right electromagnetic attraction blocks, causing them to open and attract the bearing onto the left and right support plates. This achieves the function of fixing the bearing races during the conveying process of the belt feeding device for conveying bearing races, preventing the bearings from falling off midway due to vibration, and improving the working efficiency of the equipment.

The application provides a fluid bulk modulus parameter extraction method, a fluid identification method, equipment and a medium, wherein the parameter extraction method comprises the following steps: dividing a seismic gather into at least three angle intervals, selecting a typical angle for each interval, and obtaining a corresponding partial stack for each interval; obtaining an elastic impedance curve and a curve of K f , f m and p for each typical angle from well logging data; performing elastic impedance inversion on the elastic impedance curve and the partial stack to obtain elastic impedance data of the typical angle; extracting wellside elastic impedance data from the corresponding elastic impedance data body by well logging; constructing a calculation relationship by using the curve of K f , f m and p and the elastic impedance curve of each typical angle, and bringing the curve of K f , f m and p and the wellside elastic impedance data into the calculation relationship to extract fluid bulk modulus. The technical scheme of the application can improve the resolution of the elastic impedance data body, reduce fluid identification artifacts, and improve the drilling rate of fluid inversion.

The present application relates to a kind of methods for training target segmentation model, comprising: obtaining training set, training set includes multiple frames of continuous original image, each frame original image is annotated with the real label of target;The original image in training set is input into convolutional neural network, obtains the feature map of multiple scales of each frame original image;First feature map of current frame original image and second feature map of previous frame original image are input into gated recurrent unit network, to obtain fusion feature map;Multiple scales of the feature map of current frame original image and fusion feature map are input into feature fusion decoding network, obtain the prediction label of target;Loss between real label and prediction label is calculated based on loss function, and target segmentation model is iteratively trained according to loss, until target segmentation model converges, and the trained target segmentation model is obtained.The target segmentation model obtained can accurately segment target, reduce the interference of complex background and the generation of artifact.

This invention discloses a comprehensive ecological revetment system for river channels, relating to the field of ecological revetments. It includes natural earthen slopes along both sides of a river channel, with slope one and slope two constructed on these slopes. A horizontal lower walkway is provided between slope one and slope two, and an upper walkway is provided on the upper side of slope one. An erosion-resistant bank is constructed on the slope two near the river channel. This invention reinforces and protects the riverbank near the water's edge using an erosion-resistant filler composed of revetment bricks, mixed soil, a middle layer of backfill soil, and a top layer of planting soil. Simultaneously, the root system of the planted vegetation extends to protect soil and water, effectively preventing soil erosion. Furthermore, the erosion-resistant bank formed by reinforced steel grids as foundation piles further strengthens the revetment, maximizing protection against erosion. The floating green vegetation layer effectively conceals the clear boundary between the river surface and the riverbank edge.

The application discloses a target detection method and system in a sea fog environment, comprising the following steps: acquiring a sea fog image, constructing a gated shared feature extraction network, and generating sea fog features and object features to be detected in the image by using the gated shared feature extraction network; constructing a target detection network, and identifying target features in the object features to be detected by using the target detection network; generating a mask image corresponding to the image containing only the target features; constructing a target-guided defogging network, and guiding the target-guided defogging network to optimize the sea fog around the target features in the image by using the mask image, so as to obtain a target-enhanced feature map; and identifying target position information in the target-enhanced feature map. The sea fog image is processed by the gated shared feature extraction network, the target detection network and the target-guided defogging network, so that the problem that target recognition is difficult due to sea fog interference in the image is effectively solved, and the precision and reliability of target detection in a sea fog environment are improved.

The application discloses an image reconstruction method, device and equipment, relates to the technical field of medical images, and can adaptively adjust a sampling angle according to the total eccentricity of a to-be-detected object, guarantees that enough effective projection data is collected for image reconstruction, and thus the purposes of keeping image resolution, reducing artifacts and improving image quality are achieved. The method comprises the following steps: acquiring the total eccentricity of the to-be-detected object; determining a target sampling visual angle of the to-be-detected object according to a sampling visual angle corresponding to the total eccentricity of the to-be-detected object in a preset curve, wherein the preset curve records a mapping relationship formed by the to-be-detected object in different total eccentricities and sampling visual angles; scanning the to-be-detected object according to the target sampling visual angle, and reconstructing a tomographic image of the to-be-detected object by using the scanned projection data.