Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

42 results about "Joint imaging" patented technology

Unmanned aerial vehicle resisting distributed networking detection method and device

The invention discloses an unmanned aerial vehicle resisting distributed networking detection method and device. The unmanned aerial vehicle resisting distributed networking detection method comprises the steps that at least two photoelectric infrared composite sensing detection assemblies are enabled to form an unmanned aerial vehicle resisting detection network; each photoelectric infrared composite sensing detection assembly determines the position thereof through a satellite positioning unit; a broadband active phased array radar unit in each composite detection assembly detects and discovers the position of an unmanned aerial vehicle to be detected; a visible light and infrared imaging unit in each composite detection assembly perform focused joint imaging on the unmanned aerial vehicle to be detected; and a plurality of positions of the unmanned aerial vehicles to be detected in the plurality of composite detection assemblies are fused to act as high-precision position output so as to complete stable and accurate tracking for the unmanned aerial vehicle to be detected accordingly, and a plurality of images of the unmanned aerial vehicle to be detected are fused to act as clear and complete image output so as to complete automatic and accurate recognition for the unmanned aerial vehicle to be detected accordingly. The unmanned aerial vehicle resisting distributed networking detection method has the advantages of convenient operation, wide detection area, high capturing rate, excellent positioning accuracy, high recognition rate and the like.
Owner:成都新越科技有限公司

Head and neck combined imaging method and device based on deep priori learning

The invention provides a head and neck joint imaging method and device based on deep priori learning, and the method comprises the steps: obtaining a magnetic resonance image of a head and neck jointto be reconstructed; Inputting the head and neck combined magnetic resonance image to be reconstructed into a plurality of pre-established convolutional neural network models, and setting a pluralityof residual error blocks in the plurality of convolutional neural network models; And reconstructing the head and neck combined magnetic resonance image to be reconstructed through the plurality of convolutional neural network models to obtain an artifact-free high-resolution head and neck combined image. By means of the scheme, the problem that the imaging precision and the imaging time requirement cannot be guaranteed at the same time in existing head and neck combined imaging is solved, and the technical effect that the imaging time can be effectively shortened under the condition that theimaging precision is guaranteed is achieved.
Owner:SHENZHEN INST OF ADVANCED TECH

Hip joint imaging method and hip joint imaging system

The invention provides a hip joint imaging method and a hip joint imaging system, which are used for obtaining a standard section diagram of a hip joint. The method comprises the following steps: acquiring volume data of the target hip joint; obtaining at least one section diagram of the target hip joint according to the volume data; analyzing the at least one section diagram to obtain analysis data of the at least one section diagram, wherein the analysis data is used for measuring a standard degree of the at least one section diagram; and determining at least one standard section diagram from the at least one section diagram according to the analysis data.
Owner:PEKING UNIV THIRD HOSPITAL +2

Excitation and three-dimensional sensing integrated device for diagnosing breast cancer or craniocerebral injury

The invention discloses an excitation and three-dimensional sensing integrated device for diagnosing breast cancer or craniocerebral injury, which comprises an acoustic unit and a thermoacoustic excitation unit, wherein the acoustic unit comprises a circular gear, one or more than one cambered ultrasonic array, a bowl-shaped cambered shell in which ultrasonic coupling liquid is filled and a protecting film. The circular gear is concentrically arranged on the bowl-shaped cambered shell in a positioning way; the cambered ultrasonic arrays the radian of which is matched with the bowl-shaped cambered shell are inlaid from the top to bottom on the side wall of the bowl-shaped cambered shell; and the bottom of the bowl-shaped cambered shell is hermetically combined with the protecting film. The thermoacoustic excitation unit comprises a horn antenna and a waveguide tube. The horn antenna is located below the protecting film, and the bottom of the horn antenna is connected with the waveguide tube; and the lower edge of the bowl-shaped cambered shell is rotatably connected with the upper edge of the horn antenna. The invention integrates the excitation and the sensing of three-dimensional thermoacoustic imaging, and after the integrated device is connected with necessary external equipment, three-dimensional thermoacoustic imaging, ultrasonic single imaging or ultrasonic joint imaging can be realized.
Owner:JIANGXI SCI & TECH NORMAL UNIV

Surface wave exploration method for jointly extracting Rayleigh wave frequency dispersion characteristics in seismic wave field

The invention discloses a surface wave exploration method for jointly extracting Rayleigh wave frequency dispersion characteristics in a seismic wave field. The surface wave exploration method comprises the following steps of: acquiring jointly acquired data, wherein the jointly acquired data comprises seismic wave data and electric field data; carrying out joint imaging processing on the jointlyacquired data to obtain a superimposed frequency dispersion spectrum; and carrying out extraction processing on the superimposed frequency dispersion spectrum to obtain a frequency dispersion curve, and outperforming inversion processing on the frequency dispersion curve to obtain a stratum structure profile. As the seismic wave data and the electric field data are adopted to carry out combined imaging processing to obtain the superimposed frequency dispersion spectrum, and the multi-mode frequency dispersion curve is extracted, the multiplicity of solutions of inversion is greatly reduced during inversion, and the precision and stability of surface wave exploration are greatly improved.
Owner:SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA

All-in-focus synthetic aperture imaging method based on automatic target extraction

ActiveCN105741318AOmnifocus Synthetic Aperture Imaging RealizationAchieving all-focus synthetic aperture imagingImage enhancementImage analysisJoint imagingRadiology
The invention discloses an all-in-focus synthetic aperture imaging method based on automatic target extraction, which is used to solve the technical problem that the existing all-in-focus synthetic aperture imaging method is of poor imaging precision. According to the technical scheme, all-in-focus synthetic aperture imaging is taken as a problem of joint imaging of a focusing target and a non-focusing plane, a target is naturally embedded into an estimated non-focusing area through estimation of the non-focusing area and the focusing target and by use of a target extraction method to realize all-in-focus synthetic aperture imaging without defocus blur, and the technical problem that error in iterative calculation of visible pixels is easy to transmit and results in poor precision is solved. According to the invention, multi-view information is fully utilized, all-in-focus synthetic aperture imaging is taken as a problem of joint imaging of a focusing target and a non-focusing plane, a target is naturally embedded into a background through estimation of the non-focusing area and the focusing target and by use of a target extraction technology, and therefore, all-in-focus synthetic aperture imaging without defocus blur is realized, and the imaging precision is high.
Owner:SHAANXI NORMAL UNIV

Joint prosthesis intelligent matching and preparation method based on artificial intelligence big data

The invention relates to the field of human body joint prosthesis matching, in particular to a joint prosthesis intelligent matching and preparation method based on artificial intelligence big data, which realizes automatic matching with joint prostheses in classified mass production according to joint imaging data of a patient, and greatly improves matching efficiency and matching precision. According to the technical scheme, the method comprises the following steps: collecting human body joint imaging data, constructing a human body joint three-dimensional image according to the imaging data, obtaining a joint structure feature vector according to the human body joint three-dimensional image, carrying out unsupervised clustering learning on joint prostheses according to the feature vector, and carrying out classified mass production on the joint prostheses according to a learning result. And then acquiring the imaging data of the joint of the patient, acquiring the characteristic vector of the joint of the patient according to the imaging data of the joint of the patient, matching the characteristic vector of the joint of the patient with the classified and mass-produced joint prosthesis, and selecting the corresponding joint prosthesis after the matching is passed. The method is suitable for efficient matching of clinical large-scale human body joint prostheses.
Owner:成都泽康智骨科技有限公司

Full-path compensation primary wave and multiple wave combined imaging method in deep sea environment

ActiveCN112083492AOvercoming the problem of low imaging accuracyImproving Imaging AccuracySeismic signal processingJoint imagingClassical mechanics
The invention discloses a full-path compensation primary wave and multiple wave combined imaging method in a deep sea environment, and particularly relates to the field of marine geophysical exploration. The method comprises the following steps: establishing an observation system by inputting a speed field, a Q compensation parameter field and an actual observation gun record, inputting a seabed rugged surface elevation and an observation system file, generating an orthogonal skin grid, and converting the speed field and the Q compensation parameter field into a curved coordinate system; calculating a forward modeling operator, a primary wave and multiple wave joint accompanying operator and a demigration operator of a full-path Q compensation wave field under a rugged seabed condition based on deep sea environment characteristics, constructing a target functional of full-path Q compensation primary wave and multiple wave joint imaging, and solving a gradient; and calculating a full-path compensation primary wave and multiple wave combined imaging result under a curved coordinate system, converting the result into a Cartesian coordinate system, and outputting an imaging result. Theinfluence of the fluctuating seabed surface is eliminated, the primary wave and multiple wave information is fully utilized, and the imaging precision in the deep sea environment is improved.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)

All-focus synthetic aperture imaging method based on automatic target extraction

ActiveCN105741318BOmnifocus Synthetic Aperture Imaging RealizationAchieving all-focus synthetic aperture imagingImage enhancementImage analysisJoint imagingAngle of view
The invention discloses an all-in-focus synthetic aperture imaging method based on automatic target extraction, which is used to solve the technical problem that the existing all-in-focus synthetic aperture imaging method is of poor imaging precision. According to the technical scheme, all-in-focus synthetic aperture imaging is taken as a problem of joint imaging of a focusing target and a non-focusing plane, a target is naturally embedded into an estimated non-focusing area through estimation of the non-focusing area and the focusing target and by use of a target extraction method to realize all-in-focus synthetic aperture imaging without defocus blur, and the technical problem that error in iterative calculation of visible pixels is easy to transmit and results in poor precision is solved. According to the invention, multi-view information is fully utilized, all-in-focus synthetic aperture imaging is taken as a problem of joint imaging of a focusing target and a non-focusing plane, a target is naturally embedded into a background through estimation of the non-focusing area and the focusing target and by use of a target extraction technology, and therefore, all-in-focus synthetic aperture imaging without defocus blur is realized, and the imaging precision is high.
Owner:SHAANXI NORMAL UNIV

A Joint Imaging Method for Structural and Polarization Properties of Subsurface Targets

The invention relates to a joint imaging method for the structure and polarization attributes of an underground target. A survey line is arranged above the target body, and a combination of fully polarized common center point antennas is moved along the direction of the survey line. Arrange a measuring point, measure the target body scattering matrix at each measuring point, the target body scattering matrix is ​​decomposed by Pauli to obtain the decomposition coefficients α, β, γ corresponding to a measured point underground, and then perform offset processing to obtain the offset The post-migration decomposition coefficients A, B, and C are used to image the migrated scattering matrix to obtain a section view reflecting the structure of the underground target. At the same time, the migration-processed decomposition coefficients A, B, and C are used to obtain the response An image of the polarimetric property information of the target volume. In the invention, the offset is used in the detection of the underground target body by electromagnetic waves, combined with the Pauli decomposition method, an image reflecting both the structure of the underground target body and the polarization attribute of the underground target body is obtained.
Owner:JILIN UNIV

Gesture recognition method and system and display method and system

ActiveCN109726646ARealize common imagingAvoid the technical problems of low gesture recognition accuracyInput/output for user-computer interactionCharacter and pattern recognitionState of artJoint imaging
The embodiment of the invention relates to a gesture recognition method and system and a display method and system. According to the embodiment of the invention, a plurality of initial images are obtained; preprocessing each initial image respectively; a target image corresponding to each initial image is obtained; feature information of the gesture feature elements in each target image is extracted; a set of feature information is obtained, projection information, corresponding to each gesture feature element, on a large screen is calculated based on the feature information set and preset feature template parameters, wherein at least one group of image acquisition equipment is arranged on the large screen; each group of image acquisition equipment comprises at least two acquisition devices; and moreover, the central point of the connecting line of the at least two acquisition devices coincides with the central point of the large screen, and the reverse acquisition device is arranged on the reverse extension line of the vertical line of the central point of the large screen, so that the technical problem of low gesture recognition precision of the large screen in the prior art is avoided, and the technical effect of multi-dimensional image joint imaging is realized.
Owner:CHINA UNITED NETWORK COMM GRP CO LTD +1
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products