969 results about "Imaging algorithm" patented technology

A system and method for encoding and decoding information by use of radio frequency antennas. The system includes one or more interrogator devices and RFID data tags. The RFID data tags include a plurality of antenna elements which are formed on a substrate or directly on an object. The antenna elements are oriented and have dimensions to provide polarization and phase information, whereby this information represents the encoded information on the RFID tag. The interrogator device scans an area and uses radar imaging technology to create an image of a scanned area. The device receives re-radiated RF signals from the antenna elements on the data tags, whereby the data tags are preferably represented on the image. The re-radiated RF signals preferably include polarization and phase information of each antenna element, whereby the information is utilized using radar signal imaging algorithms to decode the information on the RF data tag.

The invention discloses a paper currency detecting method. A paper currency recognition device is internally provided with an image acquisition unit, a light source and a currency delivering channel, wherein the image acquisition unit and the light source are respectively located on two sides of the currency delivering channel of the paper currency recognition device. The paper currency detecting method comprises the following steps: in a process for delivering a paper currency to be detected through the currency delivering channel, acquiring and processing the full-breadth image of the paper currency by the image acquisition unit through transmission light of the light source, transmitting through the paper currency; extracting anti-counterfeiting feature information from the processed full-breadth image; and judging the authenticity of the paper currency according to the processed image and / or the anti-counterfeiting feature information. The invention further provides a corresponding device. A paper currency detection scheme provided by the invention is beneficial to overcoming of the limitedness of processing with a reflection-type imaging algorithm, and is easy to realize with lower cost and fast and accurate detection, thus, false money can be accurately detected, and particularly, a more obvious effect on the false authentication can be achieved on a changed paper currency; and the paper currency detecting method and device can be used for accurately detecting complementary opposite printing type features of offset printing.

The invention discloses a scanning type laser vision sensing-based narrow-gap deep-groove automatic laser multilayer welding method for a thick plate, relates to a welding method, and aims to solve the problems that the conventional structured light vision sensing-based welding method can only be used for a simple shallow-groove laser weld seam tracking task and that when the conventional structured light vision sensing-based welding method is used for the narrow-gap deep-groove weld seam welding of the thick plate, a covering phenomenon is easily produced, the groove identification accuracy is lower, only real-time weld seam alignment calibration can be realized and narrow-gap deep-groove laser multilayer welding bead planning and welding cannot be realized. The method specifically comprises the following steps of: 1, selecting a groove form; 2, scanning a groove section image of a thick plate workpiece to be welded by using an image scanning unit; 3, processing the acquired groove section image by using an image algorithm to obtain weld seam image data; 4, performing fitting calculation; and 5, finishing the welding of welding beads layer by layer. The method is used for the deep-groove weld seam welding of the thick plate.

A method for imaging objects in a highly scattering turbid medium comprises: using a group of sources and detectors to generate a plurality of emergent energy waves from the medium, determining the intensity data of the emergent energy waves and processing the intensity data by using an image reconstruction algorithm. Arrangement of sources-detectors may be in parallel (transmission and / or backscattering) geometry or in cylinder geometry. The reconstruction algorithm is a novel hybrid dual Fourier tomographic algorithm for a fast 3D image reconstruction. The forward models are the radiative transfer model based on the cumulant solution of the radiative transfer equation or the diffusion model based on the approximate diffusion equation.

An arrangement of receivers and transmitters used in wideband holographic imaging using a reduced number of physical antenna elements compared to established techniques and systems. At least one of the receivers is configured to receive the reflected signal from three or more of transmitters, and at least one transmitter is configured to transmit a signal to an object, the reflection of which will be received by at least three receivers. The improved arrays are easily incorporated into existing microwave and millimeter wave holographic imaging equipment utilizing the existing mechanical features of this equipment, as well as the existing wideband holographic imaging algorithms and electronics for constructing images.

The invention discloses a multi-modality autofluorescence molecular tomographic imaging instrument, comprising a signal gathering module, a signal preprocessing module, a system control module, and a signal post-processing module. The method of the invention comprises determining the feasible region of light source through X-ray imaging and autofluorescence tomographic imaging based on multi-stage adaptive finite element combined with digital mouse, reconstruction target area optical characteristic parameter, and modality fusion, and adaptive optimized factorization for partial texture according to the posterior error estimation to obtain the fluorescence light source in reconstruction target area. The morbidity problem of autofluorescence molecular tomographic image can be efficiently solved, and the precise reconstruction of the autofluorescence light source can be carried out in the complicated reconstruction target area by the multi-modality fusion imaging mode of the autofluorescence molecular tomographic imaging. The precise reconstruction of the autofluorescence light source can be finished by the liquid nitrogen cooling CCD probe, multi-angle fluorescence probe technology, and multi-modality fusion technology, and the autofluorescence molecular tomographic imaging algorithm based on multi-stage adaptive finite element with the non-uniformity characteristics of the reconstruction target area.

The invention relates to a radar imaging method of an electrically large size target in the ocean clutter environment. The radar imaging method is that the radar imaging of the electrically large size target in the ocean clutter environment is achieved by establishing a surface-box complex target scattering model in a multi-interference environment and adopting electromagnetic simulating calculation through a numerical and analytical hybrid algorithm and a rapid back projection imaging mode. The electrically large size in the radar imaging method means that the ratio of the physical dimension to the wavelength of the target is larger than ten. The working frequency range of a radar is generally in a high frequency area, for example, the L waveband frequency ranges from 1GHz to 2 GHz, and the S waveband frequency ranges from 2GHz to 4 GHz. Some military targets, such as fighters, invisible planes and aircraft carriers in the L waveband and the S waveband belong to the electrically large size. According to the radar imaging method, the radar imaging of the electrically large size target in the ocean clutter environment can be achieved by means of geometric modeling of complex targets, the electromagnetic simulating calculation, the rapid back projection imaging algorithm and Kaiser window edge filtering.

The specification and drawings present a new method, apparatus and software product for a passive estimation of a distance between a camera or an electronic device comprising the camera (e.g., a wireless camera phone) and an identified object or objects (e.g., automatically recognizable by the camera) having one or more known dimensions and located substantially in one object plane using an image (e.g., provided by the camera) for implementing by the camera / electronic device one or more imaging algorithms (e.g., autofocusing, flash adjustment, etc.) using that distance.

The invention provides an intelligent entrance guard system based on fingerprint and finger vein joint recognition. The entrance guard system comprises a power supply management circuit, an electric control lock, an image collection device and an information processing control section, wherein the information processing control section is used for obtaining data and information of images collected in the image collection device, carrying out image algorithm processing on the data of the images and carrying out authentication on a fingerprint image and a finger vein image; the power supply management circuit is electrically connected with the image collection device, the information processing control section and the electric control lock respectively; and the image collection device and the electric control lock are respectively connected with the information processing control section via a signal. According to the intelligent entrance guard system, the accuracy rate and the uniqueness of entrance guard system authentication are ensured by bimodal biological characteristics authentication combining a fingerprint identification technology and a finger vein identification technology, thereby improving the safety, the reliability and the anti-counterfeit property of the entrance guard system, and meanwhile, the entrance guard system disclosed by the invention has multifunctionality, thereby achieving intelligentization of the entrance guard system and improving the user experience.

Systems and methods for super-resolution ultrasound imaging using a windowed and generalized TR-MUSIC algorithm that divides the imaging region into overlapping sub-regions and applies the TR-MUSIC algorithm to the windowed backscattered ultrasound signals corresponding to each sub-region. The algorithm is also structured to account for the ultrasound attenuation in the medium and the finite-size effects of ultrasound transducer elements. A modified TR-MUSIC imaging algorithm is used to account for ultrasound scattering from both density and compressibility contrasts. The phase response of ultrasound transducer elements is accounted for in a PC-MUSIC system.

The invention discloses a method for super-resolution imaging of a foresight array SAR based on sparse representation. The method mainly solves the problems that an existing foresight imaging algorithm is difficult to achieve physically, and system cost is high. The method comprises the steps that (1) SAR echo data are received in a double-base mode, and echo signals are modified in a single-base mode; (2) range pulse compression and direction dimension unbinding and frequency modulation are conducted on the modified echo signals; (3) according to the observation scene and the sparse characteristic of an imaging target, a cost function of SAR imaging of the processed signals is established through the maximum posterior probability estimation method; (4) the updated quasi-Newton algorithm is used for solving the cost function, and then a super-resolution imaging result of the foresight array SAR is obtained. By means of the method, a high-resolution foresight imaging result can be obtained under the condition of a limited array length, the cost and complexity of a system are effectively lowered, and the method can be applied to target detection, topographic reconnaissance, guidance, city planning and environment surveys.

The invention belongs to the technical field of automatic welding, and provides an intelligent three-dimensional weld joint autonomous tracking method which comprises the following steps: S1, camera calibration: a camera shoots and acquires image information of calibration plates at different spatial positions, establishes a corresponding equation set according to the shot image information, and obtains an internal parameter matrix and an external parameter matrix through analysis; s2, line laser plane calibration; s3, hand-eye calibration; s4, determination of a welding seam starting point and a welding seam ending point; and s5, welding seam track planning. According to the intelligent three-dimensional autonomous welding seam tracing method, any type of weld grooves is identified by utilizing an image algorithm; a linear laser triangulation method and a vision and robot calibration algorithm are adopted to autonomously plan a motion path, so that autonomous tracking of a welding line in any three-dimensional space is realized, three-dimensional orientation information of a welding line groove is obtained, and tracking of a right-angle or acute-angle inflection point is realized in a self-adaptive pre-swing manner.

A system for non-destructively characterizing laser welds that includes at least one phased array probe that includes a plurality of ultrasonic transducer elements arranged in an array at one end of the probe, wherein the transducer elements are operative to both generate ultrasonic signals and to receive reflections thereof, wherein the transducer elements are further arranged into discrete subgroups, and wherein each subgroup may be activated independently of the other subgroups and at different time intervals; a combination of materials for allowing the probe to conform to a contoured surface of a laser weld while enabling sound energy to be transferred directly into a laser weld under test conditions, wherein the combination of materials further includes a flexible membrane mounted on the end of the probe and a fluid filled chamber material disposed between the membrane and the array of ultrasonic transducer elements; and a data processor in communication with the at least one phased array probe that includes software having at least one imaging algorithm for processing data received from the probe and generating color coded ultrasonic C-scan images of a characterized laser weld.

The invention relates to an ultrasonic elastic imaging system and method. The ultrasonic elastic imaging system comprises a control unit, an exciting unit, a probe and an ultrasonic signal processing unit. The probe comprises an ultrasonic sensor array, a vibration exciter and a pressure sensor. The control unit selects a work mode according to a received user instruction and converts the user instruction into a control signal. The exciting unit receives the controls signal and outputs a vibration exciting signal; the vibration exciter receives the vibration exciting signal and drives the probe to make periodical mechanical vibration; the ultrasonic signal processing unit receives the control signal, transmits and receives ultrasonic waves through the ultrasonic sensor array and performs signal processing on the received ultrasonic waves, and a processing result is sent to the control unit. An instantaneous elastic imaging probe and a B ultrasonic mode probe are combined. The B ultrasonic mode probe has the effects of transmitting and receiving ultrasounds and meanwhile has the function of vibrating an exciting source. Seamless switching of elastic imaging measurement and B ultrasonic mode measurement is achieved through the relevant imaging process and the relevant imaging algorithm. The problem that ultrasonic elastic imaging in the prior art is not accurate is solved.

The invention discloses portable ultrasonic imaging equipment and a portable ultrasonic imaging system. The portable ultrasonic imaging equipment comprises an ultrasonic probe, a system control and data processing unit and a communication unit. The ultrasonic probe is used for converting electric signals into ultrasonic waves, emitting the ultrasonic waves, receiving ultrasonic echoes, converting the ultrasonic echoes into electric signals and sending the electric signals to the system control and data processing unit. The system control and data processing unit is used for controlling ultrasonic wave emission and ultrasonic echo reception and performing imaging processing on the electric signals acquired after conversion of the ultrasonic echoes according to an ultrasonic imaging algorithm to acquire imaging data. The communication unit is used for sending the imaging data acquired by the system control and data processing unit to receiving equipment. The receiving equipment is used for performing ultrasonic image displaying on the received imaging data and sending images via the internet. Mobile terminal equipment has a networking communication function of a split type ultrasonic imaging system, so that a user can upgrade and update the networking communication function via a client side conveniently and rapidly; the portable ultrasonic imaging equipment has the advantages of low cost, small size, low power consumption and the like.

An imaging system containing an electron-multiplying charge-coupled device detector and line-scan spectrograph is used for identifying wholesome and unwholesome freshly slaughtered chicken carcasses on high-speed commercial chicken processing lines. Multispectral imaging algorithms allow for real-time online identification of wholesome and unwholesome chicken carcasses.

The invention relates to the technical field of smart watches and provides a method and device for intelligently calibrating time. The method comprises steps that a smart terminal camera scans the dial of the smart watch and records the pointer and / or dial information of the smart watch; a smart terminal analyzes the pointer and / or dial information to obtain the current time information of the smart watch; the smart terminal calibrates network standard time and the current time information of the smart watch and sends a calibrated time difference to the smart watch. The smart terminal camera scans the dial of the smart watch and an image algorithm processes the dial to analyze the time represented by the current specific positions where the pointers of the dial of the smart watch, calibrates the time and the network standard time to generate a time difference for the automatic calibration of the smart watch, thereby increasing the calibrating efficiency of the smart watch.

The invention discloses a mapping-mechanism-based remote sensing image digital watermark embedding and detection algorithm, and belongs to the technical field of geographic information copyright protection. Based on analysis of geometric attacks of a remote sensing image, after the image is cut, the image element value of the image is not changed, and only the coordinate position is moved; and by expanding mapping parameters, a many-to-one mapping relationship between the remote sensing image data and the watermark information is established, and the embedded position of a watermark is determined. By the method, the problem of asynchronism of watermark information is solved by fully using the properties of the image element value of the remote sensing image before and after the geometric attacks, so that the robustness of the algorithm is greatly improved, and the problem that the conventional remote sensing image algorithm cannot resist the geometric attacks such as cutting, rotation and the like is solved.

The invention discloses a short-term traffic flow prediction method for a complex urban traffic network, belonging to the field of intelligent traffic analysis. The method comprises the steps of: obtaining a data source comprising bayonet traffic statistics and vehicle trajectory data extraction; in order to extract the local spatial characteristics of the traffic network traffic, providing a network2image traffic network matrixing algorithm to mine the intersection relationship from the vehicle trajectory to reconstruct the traffic network to obtain the traffic network traffic picture; employing a convolutional neural network to perform local convolution calculation; for reduction of the computing complexity problem, employing a traffic network image algorithm network2image algorithm to mine a relation of intersections in the traffic network from the trajectory data to reconstruct the traffic network to images, and employing the convolutional local calculation of the convolutional neural network to achieve the purposes of extraction of the traffic network local features, reduction of the computing complexity and improvement of the generalization capability; and introducing a small-scale recurrent neural network in a convolutional layer to determine the local traffic network long-time association. The short-term traffic flow prediction method effectively improves the flow short-time prediction accuracy in the actual complex urban traffic network.

The invention belongs to the technical field of biomedical engineering, and relates to a quick Monte Carlo imaging algorithm for reconstructing an optical parameter of a tissue with a heteroplasmon. The algorithm comprises the steps of confirming a detection zone, axially subdividing the detection zone, selecting intersection points of subdivision grid lines as scanning points, obtaining diffuse reflection light distribution in different scanning positions, performing MC (Monte Carlo) simulation when an illuminant is located at an original point and detectors are symmetrically distributed on the two sides of the illuminant, and obtaining mean collision times and mean walking lengths of photons in volume elements and photon weights received by all the detectors, Step III, restoring the collision times and the walking lengths in the volume elements when source detectors are positioned in all the scanning points, calculating and outputting weights of the photons, and determining a Jacobi matrix, Step IV, working out a position and the optical parameter of the heteroplasmon. The method has the benefits that the optical parameter of the tissue with the heteroplasmon can be reconstructed; the pMC (perturbation Monte Carlo) algorithm is optimized; a memory space is saved; and the calculation time is shortened.

A reconstruction technique for reducing computation burden in the 3D image processes, wherein the reconstruction procedure comprises an inverse and a forward model. The inverse model uses a hybrid dual Fourier algorithm that combines a 2D Fourier inversion with a 1D matrix inversion to thereby provide high-speed inverse computations. The inverse algorithm uses a hybrid transfer to provide fast Fourier inversion for data of multiple sources and multiple detectors. The forward model is based on an analytical cumulant solution of a radiative transfer equation. The accurate analytical form of the solution to the radiative transfer equation provides an efficient formalism for fast computation of the forward model.

A portable system for non-destructively characterizing spot welds that includes at least one matrix phased array probe and a body, wherein the body is designed to be hand-held and further includes an ergonomically designed outer casing; at least one input for connecting to the at least one matrix phased array probe; ultrasonic phased array transmitting and receiving circuitry in electrical communication with the at least one input; a touch screen computer that further includes at least one data processor running software that includes at least one imaging algorithm for processing data received from the probe and generating color coded ultrasonic C-scan images of characterized welds; and at least one monitor for displaying the color coded ultrasonic C-scan images of the characterized welds in real time.

The invention relates to a method for eliminating time-varying blurring effect in sea level synthetic aperture radar imaging, which comprises: primarily imaging sea level SAR back waves by using a conventional SAR imaging algorithm to acquire an SAR sea level image with the time-varying blurring effect; estimating an orientation facing wave number epsilon0 and a distance facing wave number eta0 of a wave principal component in the SAR sea level image by using wave spectrum inversion; calculating an orientation facing speed correction quantity 1 / 2 * epsilon0 (epsilon0 + eta0) and a distance facing speed correction quantity 1 / 2 * eta0 (epsilon0 + eta0) of an SAR platform according to the dispersion relations of the sea level waves, and constructing a corrected matched filter according to the orientation facing and distance facing correction quantities; and matching and filtering the sea level back waves by using the corrected matched filter to finish SAR imaging so as to eliminate the time-varying blurring effect. The method utilizes the dispersion relations of the wave vibrating frequency and the wave number to correct the orientation facing matched filter of the SAR so as to eliminate the SAR image blurring effect brought by the random time-varying property of the sea level, improve the definition of the SAR sea image, and acquire and invert the sea information with higher precision from the SAR image.

A real-time signal processing technique for ultrasonic imaging of tissue vibrations for localizing the source of a bruit in a 2D image with respect to the anatomy and / or for obtaining simultaneous information about vibrations and the underlying blood flow. The bruit can be quantitatively assessed using an ensemble of ultrasound echoes. Signal processing enables estimation of wall displacement and the display of time-resolved vibration spectrum. Vibrations are detected and color-coded according to their amplitude and frequency and overlaid on the B-mode and / or color-flow image in real time. Proposed vibration imaging algorithms use data acquired during conventional ultrasonic color-flow imaging and the clutter signal, normally suppressed in color-flow imaging, to detect and characterize tissue vibrations. Three vibration imaging algorithms based on parametric modeling of vibrations and other criteria distinguish between clutter, blood flow, and vibrations. The techniques are usable to detect, locate, image, and quantitatively grade stenoses in blood vessels.

A method and apparatus for automatically correcting colors in digital image space comprises taking an image file of the object using a digital device, such as a digital camera or scanner. One embodiment of the invention involves registering to obtain access to a profiling software. When registered, one obtains a target test sheet and accompanying manuals. The registration itself involves using a password or access code for using the software on the computer. The profiling software checks the image file generated from the printer or the digital camera and compares it to the photograph of the target test sheet under specific lighting conditions. The profiling software specifically checks the submitted object file for orientation, alignment, color intensity, and hue with respect to the target test sheet. When the image file is uploaded, a transformation image algorithm matches colors of the submitted image file with colors of the target test sheet and thereby creates a color corrected image profile for the submitted image file. Alternatively, the invention may be implemented entirely in an imaging device, such as a digital camera.

The invention provides a method for realizing medical image multi-task auxiliary diagnosis based on deep learning. On the condition that a focus position is known, multi-task auxiliary diagnosis of afocus is realized, such as focus area classification, segmentation, meridian regression, etc. The method comprises main steps of extracting medical image focus area data, constructing a multi-label dataset which corresponds with multi-task auxiliary diagnosis; building a single-model multi-task deep learning network, and realizing multi-task model preliminary training; adjusting a learning strategy, selecting a certain single task for training until convergence; fixing the trained single task and a trunk coding network parameter, and performing one-by-one training of other branch tasks. The method can settle a problem of single function of a medical image algorithm and simultaneously realizes multi-task auxiliary diagnosis of the focus by means of single-model single-input. Furthermore, the coding network in the characteristic extracting process is shared in training different tasks, thereby realizing mutual supplementing, and realizing performance which is not lower than or even exceed a single task in different branch tasks.

The invention discloses a PSF fast calibration method based on single-lens imaging. Firstly, PSF estimation is performed on a group of single lenses of the same type, and a PSF template of the single lenses of the type is obtained by obtaining the average value of a group of PSFs; when other lenses of the type are used, existing complicated PSF estimation methods do not need to be completely repeated, the PSF template serves as an initial value of the PSF estimation iterative optimization process, and time needed in the PSF estimation process can be reduced. According to the PSF fast calibration method based on single-lens imaging, on the basis of the existing single lens imaging algorithm, the PSF calibration speed is greatly improved, a user can conveniently use the method, practical operability is strong, the quality of images is ensured, meanwhile, the cost of the lenses is greatly reduced, the size and weight of the lenses are reduced, and the PSF fast calibration method is of greatly significance in the field of image processing and camera designing.

The invention belongs to the radar technology field and the signal processing field, and relates to application of a multiple input multiple output (MIMO) type system, in particular to an MIMO radar sparse imaging algorithm based on a hybrid matching pursuit algorithm. The MIMO radar sparse imaging algorithm comprises the steps that firstly, M emitting array elements emit orthometric phase-coded signals, and N receiving array elements receive the phase-coded signals; secondly, a matched filter of a receiver of each receiving array element conducts matched filtering on the received phase-coded signals; thirdly, fourier transform is conducted on the matched-filtered signals, and a spatial spectral domain echo expression is obtained. Index selection of each time in the HMP algorithm is realized through an OMP algorithm, orthogonality of base signal selection is guaranteed through the operation, and spatial surface elements which are very close to one another can be distinguished when fourier similar characteristics exist in a dictionary matrix; meanwhile, backtracking selection operation in the HMP algorithm is the same as that in an SP algorithm.

The invention discloses an onboard InSAR data processing method based on a BP algorithm and a time-varying baseline, and belongs to the field of radar imaging and InSAR signal processing. According to the onboard InSAR data processing method based on the BP algorithm and the time-varying baseline, the BP imaging algorithm is used for obtaining complex image data of double antennas, an interferometric phase representing the landform elevation is obtained through phase difference processing, phase filtering processing and phase unwrapping processing, and an accurate digital landform elevation is obtained through an elevation inversion method of the time-varying baseline. According to the BP imaging algorithm, an imaging area is divided into grids, and coherent accumulation in the azimuth direction is carried out on data obtained through pulse compression processing in the distance direction pulse by pulse to obtain high-accuracy complex image data according to motion tracks of phase centers of the antennas. According to the elevation inversion method of the time-varying baseline, parameters of the time-varying baseline change along the imaging grids in the azimuth direction point by point, namely, the parameters of the time-varying baseline change along the slow time, and the parameters of the time-varying baseline are determined by the space positions, at each moment, of the phase centers of the two antennas, and comprise the length of the time-varying baseline and the dip angle of the time-varying baseline.

The invention provides an ultrasonic imaging method and device for an axial flow field of fluid in a pipeline. The method comprises the following steps: distributing a plurality of ultrasonic transducers on the two cross sections at the upstream and the downstream, and detecting the axial flow field by using a tone channel network woven by the transducers; stimulating each transducer in sequence, electronically scanning and collecting ultrasonic signals transmitted by fair current and counter current of each tone channel; calculating average line flow velocity, and obtaining projection integration of the axial flow field on each tone channel; parallelly dividing the tone channels, and subdividing projection data of each tone channel group in an interval manner; using the chromatography imaging algorithm, rebuilding the axial flow field by using the subdivided projection data, and outputting and displaying the axial flow field. The device comprises a flow field detection pipe segment, an ultrasonic signal stimulation and collection module, a tone channel line flow velocity measuring module, an axial flow field reconstruction module and an output and display module. According to the device and the method provided by the invention, quick and accurate no-blind zone detection of the axial flow field on the cross sections of the pipeline can be realized, so that high-precision two-dimensional rebuilding of the axial flow field can be realized accordingly.