24 results about "Compound imaging" patented technology

The invention discloses a chip packaging quality detection optimization method based on 2D and 3D composite imaging. The method comprises the following steps: S1, collecting a two-dimensional image and a three-dimensional structure image of a chip packaging area; s2, carrying out spatial registration and normalization processing, extracting a brightness gradient, a depth gradient and a structure curvature, and generating an image fusion feature set; s3, constructing an improved Mumform-Shah image energy functional model on the basis of the image fusion feature set; s4, setting a space attention adjustment mechanism, and adjusting the weight of a boundary length item; s5, variational optimization is executed to generate an edge response diagram, and a boundary contour is extracted to form a chip packaging structure boundary diagram; s6, fusing the boundary graph and the three-dimensional structure image to construct a boundary graph, and extracting graph structure features; and S7, constructing a packaging quality scoring function, and outputting a defect type, a defect position and a packaging quality scoring value. According to the method, two-dimensional and three-dimensional structural features are fused, and the modeling capability of chip packaging defect identification and scoring is improved.

The invention provides a long-exit-pupil-distance broadband common-aperture composite simulation optical system, and belongs to the technical field of target scene composite analog simulation. A broadband objective lens group A, a space beam combiner group B and a long-wave infrared projection lens group D are sequentially arranged in the optical system from left to right along light, a visible light projection lens group C is located on the upper side of the space beam combiner group B, and a long-wave infrared projection lens group C is located on the lower side of the space beam combiner group B; a visible light image plane is positioned on the right side of the visible light projection lens group C; the medium-wave infrared projection lens group E is located on the lower side of the space beam combiner lens group B, the medium-wave infrared image surface is located on the lower side of the medium-wave infrared projection lens group E, the long-wave infrared image surface is located on the right side of the medium-wave infrared image surface, and the exit pupil position is located on the left side of the broadband objective lens group A; the problem that a single-channel target modulo system only adapts to simulation of imaging guidance equipment of a specific wave band and is not suitable for semi-physical simulation tests of three-mode composite imaging guidance equipment and two-mode composite imaging guidance equipment is solved.

The invention relates to the technical field of image processing, and discloses an optical image noise reduction method and system of a composite imaging assembly. The method comprises the following steps: carrying out geometric correction on visible light, infrared and laser sensor data through a multi-sensor time synchronization mechanism to obtain a noise coupling matrix; generating annular and checkerboard type mask modes based on the noise coupling matrix; performing cross-band feature interaction through the conditional mask convolution block to obtain a multi-scale dense connection feature map; a double-blind-spot self-supervised learning algorithm is adopted to optimize cross-band coordination loss, and a noise reduction prediction result is obtained; and finally, edge protection processing is carried out through a block-based Wiener filter, and a final noise reduction image is obtained. The problem of noise reduction failure caused by multi-sensor noise coupling and pixel strong correlation in the composite imaging assembly is solved, and the imaging quality and target recognition precision of the composite imaging assembly in a complex environment are improved.

The invention discloses a sealing ring processing quality monitoring system, and relates to the technical field of sealing ring processing monitoring. The system comprises a polarization-dark field composite imaging module which is used for obtaining a target image which eliminates specular reflection and highlights scattering characteristics of tiny bubbles through the synergistic effect of polarization filtering and annular dark field illumination; the microbubble feature enhancement module is used for carrying out feature extraction and enhancement on the target image by adopting a deep learning network comprising a multi-scale cavity convolution unit and a self-adaptive attention mechanism unit; and the self-adaptive threshold segmentation module is used for processing the enhanced image in combination with segmentation strategies of the dual-threshold screening unit and the attention map guide segmentation unit so as to accurately segment a micro bubble region. Through cooperation of polarization-dark field composite imaging, a microbubble feature enhancement network and adaptive threshold segmentation, high-precision rapid detection of the microbubbles on the surface of the transparent silica gel sealing ring is realized.

According to the ultrasonic imaging area array probe based on the array elements arranged in the regular hexagon mode and the imaging method, the array elements are arranged in the regular hexagon mode, each array element has the transmitting and receiving functions in three directions, and composite imaging with higher quality can be achieved in cooperation with unique addressing and signal processing algorithms. Therefore, the resolution ratio and the contrast ratio of an ultrasonic image are greatly improved, a doctor can see details of tissues and organs more clearly, diseases can be diagnosed more accurately, and the method has obvious advantages especially in the aspects of observation of minimal lesions, complex structures, blood flow signals and the like. The addressing technology provided by the invention can realize combined imaging of signals in multiple directions, so that the imaging angle is increased, the effective coverage range is expanded, and the imaging blind area is reduced. The method is particularly important in imaging of organs or lesions in complex shapes, information can be obtained more comprehensively, key details are prevented from being omitted, and a more complete image basis is provided for clinical diagnosis.

Disclosed herein is a transparent ultrasonic sensor-based ultrasonic optical composite imaging system including at least one light source and a transparent ultrasonic sensor coaxially aligned with light emitted from the light source and allowing the light emitted from the light source to be transmitted therethrough, wherein the transparent ultrasonic sensor is disposed between the light source and a subject.

The invention discloses a method for improving the color Doppler signal-to-noise ratio of deep peripheral pancreatic vessels, and relates to the technical field of medical ultrasonic imaging. According to the method, the signal penetrating power is enhanced and the original data quality is optimized by combining coding excitation and matched filtering with self-adaptive space composite imaging at the front end, and blood flow signals are intelligently extracted through self-adaptive clutter suppression and a deep learning model in sequence at the rear end and are finally fused and displayed with a B-mode image. According to the method, the problem of extremely low signal-to-noise ratio of deep peripancreatic vessel color Doppler imaging caused by serious signal attenuation and background noise interference is systematically solved. According to the method, the detection capability of deep low-speed blood flow signals can be effectively enhanced within a safety limit value, clearer and more accurate blood flow images are obtained, dependence on experience of an operator is reduced, and the diagnosis reliability is improved.

The invention relates to a curved surface structure upper surface positioning method based on a non-uniform angle plane wave technology, and the method comprises the following steps: generating a plane wave emission angle sequence based on a non-uniform distribution function according to a maximum deflection angle and the total number of sampling angles; sequentially transmitting plane waves to the curved surface structure according to an angle sequence through an array transducer, and recording echo signals received by a full array element at each angle; performing envelope extraction on the received echo signal to obtain an envelope signal; performing imaging reconstruction on the envelope signal through a time domain delay superposition algorithm to obtain a composite imaging result; and extracting echo envelope intensity distribution according to a composite imaging result, reconstructing a space contour of the upper surface of the curved surface, and realizing positioning of the upper surface of the curved surface structure. Compared with the prior art, under the condition of limited angle number, the sound field contribution in the direction of a large deflection angle is remarkably enhanced, the reflected signal intensity and the imaging definition of a curved surface structure area are improved, and the method is suitable for nondestructive testing of a complex curved surface structure.

The invention discloses an aperture control method and processing system for composite imaging, and the method comprises the following steps: 1, analyzing the sound field difference according to all scanning lines under composite imaging and the deflection angles of the scanning lines, and constructing a first initial aperture control table; 2, adjusting the first initial aperture control table in combination with the signal-to-noise ratio level of the sound field, so that the signal-to-noise ratios of all reference scanning lines are optimal, and obtaining a second aperture control table; step 3, pre-storing the second aperture control table in an ultrasonic front-end register; step 4, the beam synthesizer scans the to-be-detected area according to preset parameters of the second aperture control table to obtain a scanning data set; and 5, compounding the scanning line data in the scanning data set. Compared with the prior art, the method has the advantages that interference caused by sidelobe signals is suppressed by dynamically controlling aperture coordinates and energy coefficients of the scanning line under different deflections, and the signal-to-noise ratio of echo signals of the scanning line after beam synthesis and the definition of a composite image are improved.

The application discloses a two-color aggregation-induced emission composite imaging probe for acrylamide detection and toxicity evaluation and a use method, and belongs to the field of food safety biotechnology. A two-color composite probe and a detection kit are constructed, and in-vitro high-sensitivity detection of AA and miR-21 and simultaneous imaging in cells are successfully realized. The application can realize synchronous imaging of AA and target biomolecules in cells, can reveal the response relationship of AA and target molecules, and can understand the pathogenic mechanism of AA. This is helpful for taking timely and effective measures to reduce the risk exposure. The LOD of the detection of AA is 0.042 nM, and the LOD of the detection of miR-21 is 6 fM.

The invention belongs to the technical field of low-altitude unmanned aerial vehicle tracking, and particularly relates to an intelligent photoelectric automatic tracking recognition device and system.The intelligent photoelectric automatic tracking recognition device comprises a supporting frame, a central high-resolution imaging camera is installed in the middle of the supporting frame, and a plurality of ultra-wide-view-field cameras are installed on the side of the central high-resolution imaging camera; the central high-resolution imaging camera and the ultra-wide field-of-view camera are both internally provided with visible light and infrared photoelectric imaging systems, and the systems are installed on a multi-dimensional free adjustment structure. The device adopts a composite imaging architecture combining a central high-resolution imaging camera and an ultra-wide field-of-view camera to form an efficient working mode of'wide-area search tracking + accurate recognition '. The single view field of the ultra-wide view field camera exceeds 90 degrees, the combined internally tangent full view field angle reaches 180 degrees, the center view fields are overlapped, a large-range scene can be quickly captured, and preliminary searching and locking of a target are achieved.

According to an automatic calibration algorithm, a satellite platform control system completes index decomposition and drives attitude adjusting equipment such as a momentum wheel and the like, and orderly change of pointing of a main shaft (such as an optical axis of a narrow-view-field visible light sensor, an electric axis of an imaging radar and the like) of an accurate imaging sensor is realized; according to the signal response quality and related azimuth information (such as an image maximum average D / N value or a target angle measurement value and an echo signal-to-noise ratio calibration graph), the deviation between a main axis (such as an optical axis of a narrow-view-field visible light sensor, an electric axis of an imaging radar and the like) of an accurate imaging sensor and an optical axis of a large-view-field wide-angle guide sensor (such as an optical wide-angle camera) is calculated; and convergence is realized through several times of scanning, so that on-orbit automatic calibration is completed.

The invention relates to the technical field of ultrasonic imaging, in particular to an ultrasonic space composite imaging method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring at least two groups of target ultrasonic image data; performing channel splicing on the at least two groups of target ultrasonic image data to obtain target multi-channel image data; inputting the target multi-channel image data into an image processing module to obtain a target space composite image; wherein the image processing module comprises a spatial composite network, in the spatial composite network, weight distribution is carried out on a feature map corresponding to the target multi-channel image data in at least one dimension, and the feature map corresponding to the target multi-channel image data is fused based on the distributed weight to obtain fused image information. According to the method, automatic attention mechanism weight distribution is introduced into ultrasonic space composite imaging, the signal-to-noise ratio can be automatically improved according to the condition of the ultrasonic image, and important detail features are reserved.

This application discloses a spectral composite imaging device, comprising: a device body, a UAV substrate, a connector, a docking block, and a snap-fit ​​assembly; the connector is disposed at the bottom of the UAV substrate and has a downward-opening mounting cavity; the docking block is disposed within the mounting cavity; the docking block has an inner groove and an insertion slot; the inner groove is arranged horizontally; the insertion slot is arranged vertically and communicates with the inner groove; the snap-fit ​​assembly includes: a first spring, a snap-fit ​​block, and a docking post; when the spectral composite imaging device provided by this solution is mounted on the UAV substrate, the snap-fit ​​block and the docking post can be snapped together by pushing the docking post upwards; when disassembly is required, it can be completed by pushing the docking post upwards and then pulling it down, which can effectively improve the convenience of disassembly and assembly, and effectively solve the problem of inconvenient disassembly and assembly when the existing composite imaging device is installed on the UAV.

The invention relates to a radiation therapy positioning CT and image guiding CT composite imaging system, and the system comprises a vertical CT subsystem which is used for carrying out the scanning imaging of a target object in a first posture, and determining first initial image data, and the first posture comprises any one of a sitting position posture and a standing position posture; the first control subsystem is used for determining a treatment positioning CT image according to the first initial image data; the cone beam CT subsystem is used for scanning and imaging the target object in the first posture and determining second initial image data; and the second control subsystem is used for determining a guiding CT image according to the second initial image data, and determining a target adjustment instruction corresponding to the six-degree-of-freedom seat according to the guiding CT image and the treatment positioning CT image so as to adjust the target object to a second posture. According to the invention, the target object can be subjected to CT scanning in a sitting position posture or a standing position posture, and the method is suitable for focus positioning and image guiding of sitting radiotherapy.

The present disclosure relates to a coaxial four-reflection optical system with visible light long-wave infrared common-aperture imaging, and belongs to the technical field of optical systems. The technical problems that the axial length compactness and the imaging quality of the visible light / infrared composite imaging system in the existing technology need to be improved are solved. The optical system of the present disclosure includes a main reflecting mirror, a first transmitting mirror, a third reflecting mirror, a fourth reflecting mirror, a second transmitting mirror, a third transmitting mirror and a fourth transmitting mirror. The optical system has a visible light panchromatic imaging function, a visible light multispectral imaging function and a long-wave infrared imaging function, which lowers the requirement of a space remote sensor for ground illumination conditions, realizes all-time space optical remote sensing reconnaissance and dynamic monitoring, and greatly improves the functional density and cost performance of a space optical load. The optical system has a compact structure, low distortion and good stray light inhibition, and is convenient to process, assemble and adjust.

The present application relates to a kind of multi-angle composite optical coherence tomography system and method, imaging system includes OCT system, the sample arm of OCT system includes multi-angle scanning component and Bscan scanning component, OCT system is shot to sample arm parallel light beam, multi-angle scanning component realizes the multi-angle scanning of sample, Bscan scanning component realizes the Bscan scanning of sample.High-resolution image reconstruction algorithm is with plane wave delay accumulation beam synthesis algorithm as core, the signal of echo data beam synthesis after different angle plane wave emission is coherent compound and is handled into an image.The present application realizes multi-angle scanning mode on system, sample keeps still in detection process, more conducive to the application of this system in clinical diagnosis field, and coherent compound imaging method guarantees that high-resolution OCT image can be reconstructed under limited scanning angle.

The present application relates to the field of image processing technology, and discloses a method and system for optical image denoising of a composite imaging component. The method comprises: geometrically correcting visible light, infrared, and laser sensor data through a multi-sensor time synchronization mechanism to obtain a noise coupling matrix; generating annular and checkerboard mask patterns based on the noise coupling matrix; performing cross-band feature interaction through a conditional mask convolution block to obtain a multi-scale densely connected feature map; optimizing cross-band coordination loss using a double-blind spot self-supervised learning algorithm to obtain a denoising prediction result; and finally performing edge protection processing through a block-based Wiener filter to obtain the final denoised image. The present application solves the problem of denoising failure caused by multi-sensor noise coupling and strong pixel correlation in the composite imaging component, and improves the imaging quality and target recognition accuracy of the composite imaging component in complex environments.

This invention discloses a high frame rate ultrasound plane wave tensor completion method based on T-SVD and angle regularization, belonging to the field of ultrasound imaging technology. The method includes: acquiring data; encoding selected and unselected angles into TCP codes; transmitting the encoded image along a specified angle; constructing a mask matrix Ω to form an incomplete tensor X containing partially known data; zero-padding the acquired RF data to expand it to the full size; reconstructing the data corresponding to the missing angles from the incomplete tensor; iteratively solving the problem using the alternating direction multiplier method; determining whether the convergence error convergence criterion has been met; and, after iteration, completing the tensor X to obtain the full angles. Composite imaging is then performed based on the obtained complete RF data. This invention solves the problems of slow convergence speed, high computational complexity, and unsmooth completion results in existing tensor completion algorithms. Under conditions of extremely limited angle sampling, this invention achieves a balance between high frame rate and high quality in ultrasound imaging through efficient low-rank tensor completion.

An ultrasound scanner device may transmit, at a first time, one or more ultrasonic pulse signals. The device may receive, at a subsequent time according to a time delay period, one or more echo signals from a target object in tissue during an adjustable receive period. The one or more echo signals may form one or more radiofrequency (RF) data sets. Each of the one or more echo signals may have a respectively corresponding RF data set time value. The device may generate a plurality of RF data subsets from the RF data set. Each of the plurality of RF data subsets may comprise some of the one or more echo signals from at least one RF data set. The device may change the RF data set time value for some of the one or more echo signals in some of the plurality of one or more RF data subsets.

A computing device and methods for tracking motion of an anatomical structure during a radiation therapy, comprising receiving a first image set 910 of the structure, and a second image set 920 captur

The application discloses an abnormality analysis method and system based on ultrasonic detection images, relates to the related field of ultrasonic image processing technology, and applies a wide-beam composite imaging method to collect ultrasonic detection images of each time point in a fixed time period, and obtains dynamic change data of a detection target; the ultrasonic detection images collected at different time points are preprocessed in view of the reflection characteristics of ultrasonic detection and motion interference in detection, and are further subjected to spatial registration and fusion; the method obtains a pre-trained abnormality analysis model through a reverse distillation mode, inputs the ultrasonic detection fusion images into the pre-trained model to calculate an abnormality score, and outputs an abnormality detection result; and the abnormality detection result output by the abnormality analysis model is used to assist in completing ultrasonic examination of a patient. The method solves the problem that the quality of ultrasonic detection images is poor, leading to a high misdiagnosis rate, reduces the influence of artifacts and noise on the quality of images, and improves the accuracy and efficiency of abnormality analysis of ultrasonic detection images.

The invention provides an ISAR image feature control method based on multi-dimensional combined regulation and control. The method comprises the following steps: step 1, designing a time domain amplitude sequence; 2, designing a time domain phase sequence; step 3, frequency shift design; 4, joint regulation and control parameter constraint and design; in the multi-dimensional combined regulation and control model, parameters of three dimensions of amplitude, phase and frequency need to meet corresponding constraints, and a composite imaging control effect of covering and new target generation is realized; 5, an ISAR image feature control method is adopted; based on joint regulation and control of multi-dimensional parameters, distance direction parameter design is taken as a core, and time domain amplitude sequence design, time domain phase sequence design and frequency shift design are combined to realize control of imaging characteristics. Constructing an ISAR image with a controllable structure and clear features by using a multi-dimensional cooperative regulation strategy, and realizing multi-dimensional feature control of an ISAR imaging result; modulation is optimized through a global optimization strategy, and the covering degree of the corresponding area of the image and the new target similarity are improved.

The present invention discloses an optimization method for chip package quality detection based on 2D and 3D composite imaging, comprising the following steps: S1, collecting two-dimensional images and three-dimensional structure images of the chip package area; S2, performing spatial registration and normalization processing, extracting brightness gradients, depth gradients and structural curvatures, and generating an image fusion feature set; S3, constructing an improved Mumford-Shah image energy functional model based on the image fusion feature set; S4, setting up a spatial attention adjustment mechanism to adjust the weight of the boundary length term; S5, performing variational optimization to generate an edge response map, and extracting the boundary contour to form a chip package structure boundary map; S6, fusing the boundary map and the three-dimensional structure image to construct a boundary map spectrum, and extracting the graph structure features; S7, constructing a package quality scoring function, and outputting the defect type, defect location and package quality scoring value. The present invention fuses 2D and 3D structure features, and improves the modeling ability of chip package defect recognition and scoring.