429results about How to "Improve clarity" patented technology

The invention discloses a depth map super-resolution method based on blind degradation. The method comprises the following steps: forming an initial RGB-D sample pair by using a high-resolution RGB image and a corresponding high-resolution synthetic depth map; screening out a high-quality RGB-D sample pair from the initial RGB-D sample pair; inputting the high-quality RGB-D sample pair into a learnable degradation network, converting the high-quality RGB-D sample pair into a low-resolution training sample, and constructing an RGB-D training data set by using the low-resolution training sample and the high-resolution RGB image corresponding to the low-resolution training sample; using the RGB-D training data set to train the multi-modal super-resolution reconstruction network to obtain a depth map super-resolution model; inputting the low-resolution depth map and the corresponding high-resolution RGB image into a depth map super-resolution model to output a high-resolution depth map; the method solves the problems that an existing depth map super-resolution method mostly depends on a fixed degradation hypothesis, a real sensor and complex degradation distribution of compression transmission are ignored, and accordingly generalization ability is insufficient, edges are fuzzy and artifacts are increased in an actual scene.

The application provides a focusing motor and a camera module. The focusing motor comprises a fixed part, a moving part, a focusing assembly, a magnetic attraction sensing part, a guide part and a position sensor. The fixed part comprises a first support arm and a second support arm connected with each other, and a light passage hole formed between the first support arm and the second support arm. The moving part is arranged in the light passage hole and can move in a preset direction. The magnetic attraction sensing part is arranged in the moving part. The angle between the magnetization direction of the magnetic attraction sensing part and the first direction and the second direction perpendicular to the preset direction is an acute angle. The guide part is arranged on the first support arm and corresponds to the magnetic attraction sensing part. The position sensor is arranged on the second support arm and corresponds to the magnetic attraction sensing part. The position sensor can generate an induction force with the magnetic attraction sensing part, so that the position sensor can sense the moving position of the moving part. The focusing motor can significantly reduce the size of the focusing motor, and can guarantee the guiding stability and the position detection precision required by the automatic focusing function while realizing the miniaturization of the camera module.

This invention discloses a method for generating English grammar learning paths based on knowledge graph reasoning, relating to the field of smart education technology. The method includes acquiring relevant data on English grammar learning and preprocessing it to obtain basic grammar learning data; based on the rule deviation direction in the three-label rule deviation state vector, performing reverse reasoning of error cognition along the misuse relation edges in the English grammar knowledge graph to form candidate error cognition types, and combining this with historical answer data to evaluate the confidence level of error cognition and determine the target error cognition type; based on the target error cognition type, performing correction path reasoning along the correction relation edges in the English grammar knowledge graph to obtain candidate correction paths, evaluating the path cost, determining the target correction path, and generating the English grammar learning path. This invention, through the target error cognition type, can summarize and reflect the deviation relationship between examination rules, answer rules, and response rules, improving the clarity of learners' weak points.

The embodiment of the invention discloses a camera adjusting method, system and device. A target shooting parameter of a conference room space is acquired; based on the target shooting parameters, determining a target shooting range which needs to be covered by the at least two first cameras in the conference room space; determining a lens adjustment angle corresponding to each first camera according to the target shooting range and the current shooting range of each first camera; and based on the lens adjustment angle, adjusting the at least two first cameras, so that the shooting ranges of the adjusted first cameras jointly cover the target shooting range. Therefore, the target shooting range, which needs to be covered by the first camera in the conference room space, is determined according to the target shooting parameter of the conference room space, so that the angle of the first camera is adjusted according to the target shooting range, and the shooting angle of the camera in the conference room space can be automatically adjusted in accordance with a conference room scene; the definition of picture output is ensured under the condition of covering a conference room scene.

The invention discloses an immunofluorescence imaging method for driving tyramine signal amplification based on chemiluminescence and application thereof, and relates to the technical field of biomedical imaging. The immunofluorescence imaging method comprises the following steps: carrying out first incubation on a to-be-detected sample and a peroxidase-labeled antibody; performing second incubation on the to-be-detected sample after the first incubation and a tyramine substrate containing a fluorophore under a dark condition; adding a chemiluminescent substrate solution into the to-be-detected sample after the second incubation, and carrying out image acquisition; wherein the antibody can be specifically bound with a target protein; the tyramine substrate can generate active free radicals under the catalysis of peroxidase, so that the active free radicals are covalently cross-linked with tyrosine residues; the chemiluminescent substrate solution comprises hydrogen peroxide and luminol. The immunofluorescence imaging method improves imaging signal and fluorescence stability, effectively reduces background interference and phototoxicity, is suitable for long-time stable fluorescence immunoimaging, and is especially suitable for high-sensitivity detection of low-expression protein markers.

This invention designs a multi-scale star surface impact crater detection method, system, and medium. The method includes the following steps: S1: Acquire star surface images and segment them into image patches of different scales; S2: Construct multiple impact crater detection sub-models; S3: Train each sub-model using star surface image patches of different scales; S4: Input the segmented star surface image to be detected into each pre-trained sub-model to obtain the detection results; S5: Select the bounding boxes with high confidence and large area among all candidate bounding boxes of each impact crater as the final detection result for that impact crater. This invention can simultaneously identify impact craters of different scales in star surface images with high accuracy, especially improving the accuracy and efficiency of identifying small impact craters, providing more accurate and comprehensive data support for lunar science research, and promoting the in-depth development of lunar exploration and geological research.

The application provides a training method and device of an image enhancement model, electronic equipment and a storage medium, and relates to the technical field of image processing. The method comprises the following steps: generating a low-illumination sample image corresponding to each normal-illumination sample image in an initial image data set according to the normal-illumination sample image, and generating a first training data set according to each normal-illumination sample image and the low-illumination sample image corresponding to the normal-illumination sample image; performing image mask extraction according to a target object in each normal-illumination sample image to obtain target mask information corresponding to each normal-illumination sample image; and training an image enhancement model according to the first training data set and the target mask information corresponding to each normal-illumination sample image. The method can improve the training efficiency and generalization performance of the image enhancement model and improve the enhancement effect of the image enhancement model on low-illumination images.

The invention discloses an SAR (Synthetic Aperture Radar) water depth inversion method based on a self-adaptive elliptic window function, which comprises the following steps of: realizing self-adaptive adjustment in the direction of an elliptic window, the proportion of a long axis to a short axis and the type of a window function by analyzing the energy distribution characteristics of a main peak of a two-dimensional frequency spectrum of an SAR sub-graph; therefore, the directivity expression of the spectrum main peak and the accuracy of wavelength extraction are remarkably improved. According to the method, the definition of the main peak of the frequency spectrum and the water depth inversion precision can be remarkably improved, and a more stable and accurate technical path is provided for SAR water depth inversion in a complex near-shore environment.

This invention discloses a multimodal super-resolution microscopy imaging system and method based on multifocal structured light illumination, belonging to the field of optical microscopy imaging technology. The system includes: a laser beam generation module for generating and controlling the spatial coherence of the illumination beam; a multifocal structured light excitation module, including a beam modulation device, which modulates the illumination beam into a multifocal structured light array and projects it onto the sample plane to excite the sample to generate interference scattering signals and / or fluorescence signals; an interference scattering signal detection module for detecting interference scattering signals; a fluorescence signal detection module for acquiring fluorescence signals; and a control system module electrically connected to the beam modulation device, the interference scattering signal detection module, and the fluorescence signal detection module, respectively, for controlling the generation of multifocal illumination and its synchronization with signal acquisition. This invention solves the problem that existing interference scattering microscopy techniques cannot simultaneously achieve high speed, high signal-to-noise ratio, and high-resolution imaging.

The present application relates to a kind of pattern invisible and display controllable crystal glass panel and preparation method, crystal glass panel includes glass and light-emitting panel, the front of glass is equipped with color film display layer, high cover ink layer, translucent color ink layer and texture layer, pattern is equipped on color film display layer, high cover ink layer is equipped with corresponding hollow area, the back of glass is equipped with gray ink layer, hollow window is equipped on gray ink layer, light-emitting panel is installed at hollow window, the light-emitting area of light-emitting panel corresponds with the pattern of color film display screen, light-emitting panel includes touch sensor, and touch sensor is used to detect touch position.Color film display layer, high cover ink layer, translucent color ink layer are closely combined, high cover ink layer effectively blocks the light of non-display area, eliminates light scattering, so that the light that passes through hollow area cannot form scattering on ink layer, finally the pattern that presents is bright, clear, not fuzzy, color performance is better.

The utility model provides a foreign matter detection device on a konjaku flour assembly line, which comprises a first conveying mechanism, two parallel second conveying mechanisms which operate independently are arranged below the end part of the first conveying mechanism, and X-ray detection devices are arranged on the second conveying mechanisms; a partition plate is arranged between the two second conveying mechanisms, a rotating flow guide plate is arranged on the partition plate, and the flow guide plate rotates on the first conveying mechanism and is used for distributing materials on the first conveying mechanism; and a paving device is arranged between the partition plate and the second conveying mechanism, is arranged at the front end of the X-ray detection device and is used for flattening materials on the second conveying mechanism. The foreign matter detection problem caused by random stacking of materials is effectively solved, the detection efficiency and the product quality can be improved on the premise that normal production is not affected, and the safety and the stability of the production process are greatly improved.

The utility model belongs to the voice interaction technical field discloses a kind of voice interaction devices, it includes sound entry box, sound entry component, sound exit box and sound exit component.Sound entry box is equipped with bunching structure, sound entry component includes microphone, circuit board and first wire, microphone is set to sound entry box, microphone is electrically connected in circuit board by first wire, sound exit box and sound entry box are set in split type, sound exit component includes loudspeaker and second wire, loudspeaker is set to sound exit box, and it is electrically connected in circuit board by second wire, bunching structure is configured as at least part first wire and / or at least part second wire is limited in sound entry box.By the above setting, the voice interaction device of the application can effectively bind cable and reduce the signal interference between microphone and loudspeaker.

The present application belongs to the field of CT tomographic reconstruction technology and artificial intelligence, and discloses a limited-angle CT reconstruction artifact suppression method based on a multi-domain feature fusion network. In view of the problem that the reconstruction result of traditional CT scanning under limited-angle conditions is prone to artifacts and structural distortion, thereby affecting the image quality and defect detection accuracy, the present application constructs a multi-domain feature fusion artifact suppression network, takes the limited-angle reconstruction result as input, and realizes artifact suppression and detail recovery through the synergistic effect of the encoder part, the decoder part, the feature enhancement part and the feature conversion part. The present application can obtain high-quality tomographic images under limited-angle conditions, effectively reduces the scanning angle and time of industrial CT detection, improves the imaging clarity and reliability without increasing the radiation dose, is suitable for industrial detection of complex structure workpieces, and has important industrial application value.

The utility model discloses a soybean hybrid breeding auxiliary mirror image device with amplification function relates to agricultural hybrid breeding technical field, including mirror frame, the inner wall fixed mounting of mirror frame has the lamp ring, the inner wall fixed mounting of lamp ring has the magnifying glass, and the bottom of mirror frame is installed with operation clamp through connecting component, through the mutual cooperation between connecting component, operation clamp, mirror frame and magnifying glass, and the breeding personnel can cover operation clamp on the finger, then will the magnifying glass aim at the flower organ of soybean, and then will the flower organ enlarged presentation, improve the precision of detasseling and pollination, and connecting component can adjust the rotation angle of magnifying glass simultaneously, make magnifying glass aim at the soybean of different height and area, and the suitability is strong.

The utility model discloses a kind of hysteroscope liquid leakage prevention structures, including center cylinder base, the both ends of center cylinder base are fixedly connected with end fixed ring, the outer end array of two sides the end fixed ring is fixedly connected with multiple elastic supporting pieces, and the outer end of multiple elastic supporting pieces of same side is equipped with silica gel outer cover, two sides The outer side of elastic supporting piece is fixedly connected with operating slip ring and insertion stop seat respectively, and the outer end of two sides silica gel outer cover is fixedly connected with the outer edge of corresponding side operating slip ring and insertion stop seat.In insertion, small in diameter, it is convenient to set, and will not cause damage to cervix, can effectively solve the problem of clinical surgeon encountered in hysteroscopy surgery in uterine cavity liquid leakage, reduce operation time and surgical complications, improve operation efficiency and safety.

The present application relates to the technical field of lesion recognition, in particular to an automatic lesion recognition ultrasonic system for real-time monitoring, which comprises a delay path discrimination module, a gray level trend detection module, a texture feature screening module, a feature fusion sorting module and a region highlight labeling module. Based on continuous ultrasonic frames, the collected deep tissue echo path is analyzed, and the echo arrival time of each pixel point in the continuous frame is detected. The present application supports multi-type data fusion judgment through a comprehensive judgment process supported by multi-dimensional parameter collaborative screening, penetration behavior, gray level trend and texture aggregation. The regional abnormal priority sorting mode improves the hierarchy of lesion feature discrimination, provides partition directional recognition for local structural abnormalities and early micro-variation, and converts the feature judgment result into a high confidence region label by a weight aggregation method. The image output process automatically completes the real-time visual presentation of the high-risk area, improving the clarity and pertinence of the lesion region presentation.

The utility model relates to a magnification display device, belongs to the technical field of optical imaging, and particularly relates to a desktop optical imaging magnification display device which comprises a support, a storage barrel and a limiting sliding barrel are fixedly mounted on the surface of the support, a threaded rod is slidably mounted in the storage barrel, a mounting block is fixedly mounted at the end of the threaded rod, and the limiting sliding barrel is fixedly mounted in the mounting block. An imaging assembly is also included; according to the utility model, the effect of obtaining a non-deformation and high-definition magnified picture by using the two lenses easy to process is achieved, and the problems that although a magnified imaging effect can be achieved in the prior art, the height of the imaging device cannot be adjusted, the height of the imaging device cannot be effectively adjusted for users with different body types and heights, and the imaging effect is poor are solved. And the use effect is poor.

This application discloses an image processing method, apparatus, device, medium, and program product. The method includes: acquiring an initial image containing a target object, and performing pose torsion processing on the target object in the initial image to obtain a pose torsion image; fusing the pose torsion image and the initial image to obtain a fused image; extracting a part image containing a specified portion of the target object from the fused image, and performing image super-resolution processing on the part image to obtain a super-resolution part image; and fusing the super-resolution part image and the fused image to obtain a target image. Using this application embodiment can improve the quality of the target object after pose transfer.

The utility model relates to the technical field of glasses, in particular to a pair of virtual simulation glasses capable of being used for ciliary muscle detection, which comprises a glasses main body, the glasses main body is provided with a detection mechanism, the detection mechanism comprises an infrared imaging module and a miniature probe, the infrared imaging module and the miniature probe are connected with a nose pad, the glasses main body is provided with a warning mechanism, and the infrared imaging module and the miniature probe are connected with the nose pad. The warning mechanism comprises an LED, a vibration motor and an electrode patch, health detection is conducted on ciliary muscles through the miniature probe and the infrared imaging module which are arranged on the nose pad, the warning mechanism conducts vibration prompting on a patient according to the result of the detection mechanism, the patient is reminded that the patient is in the overuse fatigue state at present, and through low-frequency pulses released by the electrode patch, the patient is reminded to be in the overuse fatigue state at present. Through the lens adjusting mechanism, the diameter of the lens can be increased, the visual field range can be expanded, and the immersion feeling is enhanced; and the diameter can be reduced, the definition of a central area is improved, edge distortion is reduced, and the method is suitable for occasions requiring precise vision.

This invention relates to the field of image processing technology, providing a three-dimensional scene reconstruction method, electronic device, and storage medium. The method includes: inputting a real image and a corresponding rendered image of the scene to be reconstructed into a motion-static separation module of a three-dimensional reconstruction model; obtaining a dynamic mask, a dynamic 3D point cloud representation, and a static 3D point cloud representation generated by the motion-static separation module based on the feature similarity between the real image and the rendered image, and the semantic segmentation result of the real image; inputting the dynamic mask, the dynamic 3D point cloud representation, and the static 3D point cloud representation into a hybrid rendering module of the three-dimensional reconstruction model; and obtaining a three-dimensional reconstructed scene generated by the hybrid rendering module based on the dynamic mask, the dynamic 3D point cloud representation, and the static 3D point cloud representation. This invention achieves high-precision motion-static separation, obtains a dynamic mask, and performs hybrid rendering of the dynamic 3D point cloud representation and the static 3D point cloud representation using the dynamic mask, significantly reducing artifacts in dynamic scenes.

This utility model discloses a 3D scanner with replaceable filters, comprising: an instrument body; a camera unit and a laser projection unit disposed within the instrument body, wherein the camera in the camera unit and the projection surface in the laser projection unit are both disposed on the measurement surface of the instrument body; and a supplementary lighting unit located around the camera and disposed on the measurement surface, wherein the filter unit in the supplementary lighting unit is detachably disposed at the front end of the light source assembly in the supplementary lighting unit. This utility model significantly improves the scanner's adaptability to different material surfaces and scanning quality through the design of replaceable filter units, optimizes image clarity and detail, and allows for flexible adjustment and rapid replacement of filters according to the characteristics of different materials.

This invention belongs to the field of power monitoring technology and discloses a brightness balancing and regional smoothing fusion algorithm for power monitoring images. The method includes: image denoising, using mean filtering and median filtering to smooth the image; image registration, performing optimal matching on two or more images obtained from different sensors, at different times, or from different angles; and image region fusion, smoothly fusing images with different angles and brightness contrasts. This method is applicable to panoramic video monitoring systems. Designed specifically for the complex lighting and high electromagnetic interference characteristics of power operation sites, this invention effectively eliminates on-site noise through adaptive preprocessing, and achieves a balance between global brightness uniformity and local detail preservation through layered brightness balancing, solving the problems of incomplete brightness balancing and detail loss in power scenarios encountered by general algorithms.

The invention discloses a flat panel detector and a method and device for using the flat panel detector. A flat panel detector is constructed on the basis of an amorphous silicon substrate on which a hexagonal pixel pattern is uniformly laid. The hexagonal pixels can be arranged more closely on a two-dimensional plane, and gaps among the pixels are reduced, so that a photosensitive area is maximized with a relatively high filling rate, and the spatial resolution of the detector is improved. And the hexagonal pixels enable a frequency space to generate an angle of 60 degrees, so that the influence of grid artifacts is reduced to a certain extent. Meanwhile, the hexagonal pixel array is effectively processed and optimized by adopting an image reconstruction algorithm, the signal-to-noise ratio of the single pixel of the flat panel detector is improved, and the definition and accuracy of the image are improved.

The present application belongs to the technical field of underwater detection, and particularly relates to a method and device for detecting and grabbing underwater cultured objects. The method comprises: acquiring a left view and a right view photographed by two cameras installed in a parallel binocular form; restoring the left view and the right view; detecting the cultured objects in the restored left view and right view to obtain a target frame of the cultured objects; performing stereo matching on the target frame region of the cultured objects to obtain a disparity of the left view; calculating the size and position of the cultured objects according to the disparity of the left view; and grabbing the cultured objects according to the position and size of the cultured objects. The present application can automatically acquire optical binocular images of underwater scenes, determine the distance and size of various underwater cultured object targets, and implement grabbing, thereby improving the efficiency and intelligent level of aquatic product fishing.

The application discloses a teaching video super-resolution reconstruction method and system based on cross-modal feature fusion, and belongs to the field of computer vision. In view of the problems of low resolution, detail loss, inter-frame jitter and large amount of calculation of the existing teaching video, the application obtains a low-resolution video frame and G-buffer information thereof; in the encoding stage, the cross-channel feature interaction rearrangement and point-by-point product are used to obtain the encoding feature; in the decoding stage, the encoding feature and the G-buffer information are taken as the SS2D module of the Mamba network to perform global space-time feature extraction, and the point-by-point product fusion of the decoding output of the previous frame and the current frame SS2D output is performed; finally, the sub-pixel convolution upsampling is performed to generate a high-resolution frame. The application fuses multi-modal physical information, significantly improves the reconstruction clarity and timing stability of key elements such as board writing and teaching aids, has small parameter quantity and low delay, supports real-time processing, reduces privacy risk based on low-resolution reconstruction, and is suitable for teaching video enhancement and analysis scenes.

The present application relates to the technical field of image processing, and more particularly to a projection image optimization method based on image processing, which first extracts image block samples from a target scene, uses an industrial camera to collect data and combines a texture separation model to accurately extract features to determine key texture distortion anchor points. Secondly, according to these anchor points, the non-flat wall surface is divided into multiple distortion transmission areas to realize local fine modeling. Then, the preset imaging parameters are independently optimized in multiple channels for different areas to generate projection correction parameters adapted to each area. Finally, the optimized parameters are used to control the imaging of the projection equipment. This method effectively decouples the inherent texture of the wall surface and the interference of the projection content, solves the problems of non-linear distortion, uneven brightness and blurring caused by complex curved surfaces through adaptive correction by area, significantly improves the clarity, contrast and visual consistency of the projection image, and does not require expensive three-dimensional scanning hardware, with high robustness and low cost advantage.

A method for synchronous excitation of multiple exciters relates to the field of dynamic testing and vibration control technology for large civil structures. The method includes the following steps: after constructing a unified time reference based on satellite navigation signals and a rubidium atomic clock, excitation amplitude and phase parameters are obtained based on the target modal requirements, and these parameters are sent to all exciter slave stations; the exciter slave stations generate a reference trajectory based on the excitation amplitude and phase parameters, enabling the exciter motor shaft angle to follow the reference trajectory in real time and output the target excitation; the phase error is obtained based on the measured excitation phase value and the reference trajectory, and then the motor angular velocity of the exciter is corrected based on the phase error. This invention solves the problems of startup phase error and long-term frequency drift in master-slave triggering schemes, ensuring synchronous start-up of all exciters. Combined with dynamic correction of the exciter motor angular velocity, it suppresses phase drift during long-term operation, significantly improving the excitation efficiency of higher-order modes and the clarity of the response signal.

The invention discloses an immersive exhibition hall sound field control system, and relates to the field of sound field control. The system comprises an acoustic sensing module which is used for collecting all-domain audio signals of an exhibition hall in real time; the global analysis module is in signal connection with the acoustic sensing module and is used for processing the collected audio signals; the sound field execution module is used for receiving the sound field control strategy generated by the global analysis module; and the central control platform is used for coordinating the work of each module, managing the audio content and providing a man-machine interaction interface. According to the system, crossing from indifference broadcast to partition directional sound field is realized, immersive personalized auditory experience is created, and the system has the capabilities of dynamically sensing and optimizing acoustic environment: the system can position a noise source in real time and evaluate reverberation, so that the problems of mutual crosstalk and loud noise of different explanation contents in a traditional system are avoided, and the system is suitable for popularization and application. And a plurality of exhibition areas are allowed to synchronously carry out clear and non-interfering explanation.

The application relates to a facial tissue foreign matter detection device and relates to the technical field of facial tissue production. The device comprises a bottom plate, a connecting frame one, a first detection mechanism, a placing mechanism and a second detection mechanism. The application has the effect of improving foreign matter detection precision. The first detection mechanism comprises a fixed guide plate, a first adjusting mechanism, a second adjusting mechanism and a detection module one and other components. The edge of the facial tissue is specially detected by the detection module one, so that a detection blind area is avoided, and the horizontal height position of the detection module one is adjusted by the first adjusting mechanism and the second adjusting mechanism, so as to adapt to facial tissues with different sizes and thicknesses. The second detection mechanism comprises a fixed cylinder, a motor two, a linkage mechanism, a motor three and other components. Through mutual cooperation, the detection range of the detection module two can be expanded, illumination compensation is realized through an illumination module, no dead angle detection of the facial tissue can be realized, the adjustment is flexible, and the detection precision and efficiency are high.