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35results about How to "Overcome the disadvantage of large amount of calculation" patented technology
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Block chain asset transaction transfer method based on weighted threshold signature algorithm
ActiveCN109377360AOvercoming the Disadvantages of LeakageImprove securityKey distribution for secure communicationFinanceChinese remainder theoremBlockchain
The invention discloses a block chain asset transaction transfer method based on a weighted threshold signature algorithm. The specific implementation steps include: 1, generating a public-key privatekey pair of a group master; 2, distributING a weighted private key component; 3, generatING a message to be signed; 4, a plurality of group memberS form a signature group; 5, that group mast judges whet the signature group satisfies the threshold condition; 6, calculatING a signature private key component; 7, calculatING a temporary public key; 8, sending a signature component; 9, synthesizing acomplete signature; 10, verifying that signature; 11. Exiting the system. The invention adopts threshold signature algorithm, reduces the risk of private key disclosure, and guarantees the security ofblock chain asset transaction transfer. A weighted secret sharing technique based on Chinese Residue Theorem (CRT) is used to improve the efficiency of signature generation algorithm.
Owner:XIDIAN UNIV
Aerial shooting traffic video frequency vehicle rapid checking method
InactiveCN101286239AImprove real-time performanceImproved labeling methodImage analysisTelevision systemsSelf adaptiveColor space
An aerial photography transport video vehicle rapid detection method comprises the steps that: step 100, the space-based coding part adopts the global motion estimation to determine the global motion vector of a background; step 200, the residual difference value is calculated according to the global motion vector to divide background regions and motion regions; step 300, whether the regions are the background regions or not is judged, an image of which the regions are all the background regions is changed to the next frame, and the step 200 is executed; otherwise, the motion regions of the image execute the step 400; step 400, the ground part firstly determines a self-adaptive gradient threshold which is lower and can correctly divide various objects to carry out the primary marker extraction; then two parameters of an area and a water collection depth are introduced for further screening of the extracted marker, thus determining a final marker point; then the marker point is taken as the region minimum value for carrying out the VS watershed division; finally, the regions are merged according to the texture information of the regions; step 500, the shadow is detected in an HSV color space, thus filtering out phony targets and finally detecting vehicles. The method of the invention solves the problems that the calculation amount during the decompression of the aerial photography image and the detection of motion targets is greater, and the real-time property and the robustness requirement are difficult to be satisfied at the same time.
Owner:BEIHANG UNIV
Video-based method for rapidly detecting transit vehicles
InactiveCN101872546AAccurate detectionReduce computational complexityDetection of traffic movementCharacter and pattern recognitionFrame differenceVideo processing
The invention belongs to the technical field of traffic surveillance and video processing and particularly discloses a video-based method for rapidly detecting transit vehicles. Based on a background difference method, a gradient frame difference method and a frame difference method, the method can simultaneously eliminate the daytime shadows, respiration effect, night headlamp ground-reflected light and other impacts, accurately detect the position of a moving object and judge the lane, where the vehicle is located. According to test results, the method of the invention can overcome the defect that the calculation load is higher in the conventional method and meet the requirement for the real-time performance in the video vehicle detection carried out by an electronic police; and the method is capable of accurately detecting the vehicles in the sight, and has better robustness against the interference, such as light changes, shadows and the like.
Owner:FUDAN UNIV
Texture image segmentation method combined with sparse neighbor propagation and rapid spectral clustering
ActiveCN104732545AOvercome the disadvantage of large amount of calculationReduce computational complexityImage analysisPattern recognitionComputation complexity
The invention discloses a texture image segmentation method combined with sparse neighbor propagation and rapid spectral clustering, and the method mainly solves the problems that in an existing texture image segmentation method, the segmentation accuracy is low and the computation complexity is high. The method comprises the steps that 1, an image to be segmented is input; 2, parameters are set; 3, a grayscale-probability square matrix is generated; 4, the number of data points is counted; 5, a sparse similarity matrix is built; 6, data representative points are selected; 7, clustering is performed on the data points; 8, the image to be segmented is marked; 9, a segmented image is output. Compared with some existing texture image segmentation technologies, the texture image segmentation method combined with sparse neighbor propagation and rapid spectral clustering can better maintain the region consistency of the texture image, the texture image with high segmentation accuracy and good segmentation stability can be obtained, and the computation complexity is low.
Owner:XIDIAN UNIV
Offshore alignment method of autonomous underwater vehicle based on second order interpolating filter
InactiveCN101639365AOvercome the disadvantage of large amount of calculationOvercome disadvantages that no longer applyNavigational calculation instrumentsNavigation by speed/acceleration measurementsFiberAccelerometer
The invention provides an offshore alignment method of an autonomous underwater vehicle based on a second order interpolating filter, comprising the following steps of: (1) collecting data output by an optical fiber gyroscope and a quartz flexible accelerometer, and primarily ensuring transfer matrix Cb<c> from a carrier coordinate system to a computing navigation coordinate system; (2) building anonlinear state equation which takes speed error and three error misalignment angles as state variable and a linear observation equation which takes speed error as observed quantity when a fiber optic gyro strap-down inertial navigation system has a lager azimuth error angle; (3) discretizing a nonlinear continuous system, filtering the discretized nonlinear system with the second order interpolating filter, and estimating the azimuth error angle; and (4) error compensating attitude matrix Cb<c> with the estimated azimuth error angle to obtain the exact attitude matrix, obtaining carrier attitude according to the attitude matrix, completing initial alignment and entering into navigation. The method can meet requirement with higher applicable precision, has high alignment precision and short alignment time, and is easily realized.
Owner:HARBIN ENG UNIV
Image registration method of acoustic and visual three-dimensional imaging with underwater vehicle
ActiveCN103226828AOvercome the disadvantage of large amount of calculationEliminate geometric distortion in 3D imagingImage analysisVisual perceptionImage rotation
The invention relates to the field of sonar image processing, in particular to an image registration method of acoustic and visual three-dimensional imaging with an underwater vehicle, which overcomes target sonar image rotation due to swing of the underwater vehicle, and eliminates adverse effects of three-dimensional reconstruction distortion. The method comprises the following steps of (1), detecting a rotation angle of a target image, (2), correcting rotation of the target image, and (3), reconstructing a corrected image sequence. The method can correct sonar image sequences in a self-adapting manner without any prior knowledge to allow the sonar image sequences to be aligned axially, overcomes the defect that a reference image is required in the traditional registration method, is a quick automatic registration method, and is small in computation amount.
Owner:HARBIN ENG UNIV
Collaborative filtering-based teaching video labeling method
ActiveCN104700410AOvercome the disadvantage of large amount of calculationSmall amount of calculationImage analysisSpecial data processing applicationsCosine similarityDocumentation
The invention discloses a collaborative filtering-based teaching video labeling method. The collaborative filtering-based teaching video labeling method mainly solves the shortcoming of the low accuracy of teaching video labeling in the prior art. The method is implemented through the steps of inputting a teaching video and performing caption key frame extraction on the teaching video according to captions to obtain D key frames; performing caption extraction on the D key frames through optical character software and performing text correction and deleting on obtain captions to obtain D text documents; performing shot segmentation on the teaching video by combining the D text documents with a Gibbs sampler to segment the teaching video into M shots; labeling a part of the M shots, computing the cosine similarity between the labeled shots and unlabeled shots through a collaborative filtering method, and selecting five words with the highest cosine similarity to label the unlabeled shots. The collaborative filtering-based teaching video labeling method takes the caption information in the teaching video into consideration, thereby effectively describing the teaching video, improving the labeling accuracy of the teaching video and being applicable to video teaching.
Owner:山西恒奕信源科技有限公司
Method for realizing digital audio encoding by using new psychoacoustic model and quick bit allocation
InactiveCN101847413AOvercome the disadvantage of large amount of calculationAvoid sound qualitySpeech analysisRate distortionBit allocation
The invention provides a method for realizing digital audio encoding by using a new psychoacoustic model and quick bit allocation. The audio encoding method comprises the following steps of: by using a new psychoacoustic model, determining window types according to the variance of input audio signals; allocating quantized noise according to the determined window types and the energy of the input audio signals, namely calculating threshold values; performing quick bit allocation, giving up the conventional method of performing rate-distortion control by two layers of nested loops, taking a value of a global scale factor of the last frame as an initial value for global scale factors according to the short-time stable properties of the audio signals, and acquiring accurate an initial valve for each section of scale factor through model deduction; and finally acquiring values of a final global scale factor and each section of scale factor through fine adjustment. The method has the characteristics of low computational complexity and unconspicuous reduction of perceived tone quality.
Owner:BEIHANG UNIV
Three-dimensional face recognition method based on Bayesian multivariate distribution characteristic extraction
ActiveCN104636729ASolve the problem of insufficient training samplesAccelerated trainingThree-dimensional object recognitionAcquired characteristicClassification methods
The invention discloses a three-dimensional face recognition method based on Bayesian multivariate distribution characteristic extraction. The method comprises three-dimensional data preprocessing, characteristic extraction and identification classification. The method has the advantages that the defect of large computation amount in the prior art is overcome; a three-dimensional face depth map is used for identifying, so that the computation amount can be reduced, and the identification efficiency is increased; the problem of insufficient training samples in single sample identification can be solved, and the training samples are added with a partitioning method; a characteristic extraction method based on Bayesian analysis is provided on the basis, so that the obtained characteristics have a minimum intra-class distance and a maximum inter-class distance, namely, optimal separability is realized; moreover, a classification method based on Mahalanobis distance is adopted, so that optimal identification classification is realized. As proved by experiment data, the method disclosed by the invention has a good three-dimensional face recognition result.
Owner:ZHEJIANG UNIV OF TECH
Low noise GPS (Global Positioning System) carrier wave tracking method based on RSL (Recursive least square filter)
ActiveCN102096077AAddress dynamicsSolve the noiseSatellite radio beaconingSignal-to-noise ratio (imaging)Phase locking
The invention relates to a low noise GPS (Global Positioning System) carrier wave tracking method based on an RLS (Recursive least square filter). The low noise GPS carrier wave tracking method comprises the following steps of: measuring an instantaneous phase difference of a local carrier wave and a tracking satellite by a carrier wave tracking loop by utilizing a table look-up type second quadrant arc tangent phase discriminator; introducing the RLS to filter measurement noises; meanwhile estimating a frequency difference according to phase difference variation; utilizing the frequency difference and the phase difference as frequency discrimination input and phase discrimination input of a loop filter with a second order lock frequency loop assistant in a three-order phase locking loop; filtering by the loop filter to output a carrier wave control adjustment variable with high precision and low noise, and correspondingly adjusting carrier wave NCO (Numerical Control Oscillation) to control the local carrier wave so that a receiver keeps phases and frequencies of the local carrier and a tracking satellite carrier wave consistent. In the invention, the low noise GPS carrier wave tracking method based on the RSL ensures that the GPS carrier wave tracking loop can work stably under the condition of low signal to noise ratio and certain dynamic state, keeps the phase not to overturn or skip cycles and ensures the carrier wave tracking precision.
Owner:BEIJING AEROSPACE AUTOMATIC CONTROL RES INST
MEMS microstructure plane displacement measuring method
InactiveCN103776381ARealize measurementOvercome the disadvantage of large amount of calculationUsing optical meansSpecial data processing applicationsPhase correlationSingular value decomposition
The invention discloses a MEMS microstructure plane displacement measuring method integrating fractal interpolation and singular value decomposition, and relates to image phase correlation technologies and the field of MEMS dynamic measurement. According to the MEMS microstructure plane displacement measuring method integrating fractal interpolation and singular value decomposition, a traditional phase correlation method is improved, the defects that according to the traditional phase correlation method, the calculated amount is large, and the measuring resolution is insufficient are overcome, and rapid high-precision measurement of the MEMS microstructure plane movement displacement is achieved.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Image spectral clustering method based on quick selection of landmark points
ActiveCN107578063AImprove accuracyOvercoming noise effectsCharacter and pattern recognitionSpectral clusteringMethod of undetermined coefficients
The invention discloses an image spectral clustering method based on quick selection of landmark points and mainly aims to solve the problems that existing image spectral clustering methods are low inclustering precision and high in calculation complexity. The method comprises the steps that (1) all images to be subjected to spectral clustering are read; (2) neighbor images of the images to be subjected to spectral clustering are calculated; (3) the landmark points are selected; (4) a feature sparse representation matrix of the images to be subjected to spectral clustering is calculated; (5)a relevant matrix of the images to be subjected to spectral clustering is calculated; (6) a right singular feature matrix of the sparse representation matrix is calculated; and (7) recognition clustering is performed. Compared with some existing image spectral clustering technologies, through the method, a sparse representation error of the images can be lowered, the accuracy of a spectral clustering result is improved, and the calculation complexity is low.
Owner:XIDIAN UNIV
Information source number estimation method for polarization sensitive array
ActiveCN104537248AOvercome the disadvantage of large amount of calculationHeavy computationSpecial data processing applicationsPolarization sensitiveCriterion function
The invention discloses an information source number estimation method for a polarization sensitive array. The method includes the following steps that spatial electromagnetic wave signals are received through a polarization sensitive array formed by N polarization sensitive array elements, and receiving data are obtained; a covariance matrix is calculated according to the data received by the polarization sensitive array; feature value decomposition is conducted on the covariance matrix, 2 N feature values and feature vectors corresponding to the 2 N feature values are solved, and the 2 N feature values are sorted in a descending mode from big to small; feature removal treatment is conducted on the covariance matrix through the sorted front N feature values, corresponding N new covariance matrixes are obtained, and a projection matrix is built through sub spaces formed by the feature vectors corresponding to the sorted rear N feature values; projection on the projection matrix of the N new covariance matrixes is solved respectively; the information source number is estimated according to a projection structure criterion function. According to the information source number estimation method for the polarization sensitive array, the information source number is estimated through a noise sub spatial dimension feature of the polarization sensitive array, the calculated amount is reduced, and the cost is saved.
Owner:HARBIN ENG UNIV
Non-probability set theory based bounded uncertainty structure static response upper and lower bound assessment method
InactiveCN105718652AOvercome the disadvantage of large amount of calculationReduce computing timeGeometric CADDesign optimisation/simulationParallel algorithmCramer's rule
The present invention discloses a non-probability set theory based bounded uncertainty structure static response upper and lower boundary assessment method. The method comprises: firstly, according to the Krein-Milman Theorem, representing any point in an uncertainty parameter interval as a linear combination of a vertex of the uncertainty parameter interval; based on the Clemm Rule, establishing a bounded uncertainty structure static response solving model; and by means of a combined structure vertex stiffness matrix and a vertex load vector, decomposing the model into a series of sub-models and performing a solution separately by combining a parallel algorithm, so as to obtain an upper bound and a lower bound of a bounded uncertainty structure static response, and at the same time, giving a structure parameter corresponding to the upper bound and the lower bound. According to the method disclosed by the present invention, the precise bounds of the bounded uncertainty structure static response can be obtained, and objective and effective data can be provided for reliability assessment and design of structures.
Owner:BEIHANG UNIV
MEMS in-plane displacement measurement method correlated with mixed fractal interpolation and frequency-domain digital speckle
InactiveCN105043270AHigh precisionReduce measurement impactUsing optical meansFrequency spectrumPhase time
The invention provides an MEMS microstructure plane displacement measurement method based on correlated technologies of mixed fractal interpolation and frequency-domain digital speckle, and relates to the field of image frequency-domain correlated technologies and MEMS dynamic measurement. The method comprises the steps that MEMS microstructure motion speckle image f (zero-phase time) and g (a phase time) are acquired; appropriate sizes of a reference sub-region and a target sub-region are selected; fractal interpolation processing is carried out on two sub-region images; reference sub-region image Fourier conversion adjoint is used as a matching filter; an acquired filter is used to filter the frequency spectrum of the target sub-region; Fourier conversion is carried out on a result acquired through filtering again, so as to acquire a correlated highlight; and a displacement parameter is acquired according to the position of the correlated highlight. The defects of large calculating quantity and insufficient measurement resolution of a traditional method are overcome. Fast and high-precision measurement of MEMS micro mechanism plane motion displacement can be realized.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
MWHTS channel weight function calculation method based on neural network
PendingCN111737641AOvercome speedOvercome the disadvantage of large amount of calculationNeural architecturesNeural learning methodsMeteorologyDeep neural networks
The invention discloses an MWHTS channel weight function calculation method based on a neural network, and the method comprises the steps: inputting an atmospheric parameter and an MWHTS observation altitude angle into a radiation transmission model RTTOV, and calculating the atmospheric transmittance from each layer in atmospheric stratification to a satellite load MWHTS; calculating an MWHTS channel weight function profile according to the atmospheric transmittance, and establishing a matching data set of the atmospheric parameters, the MWHTS observation elevation angle and the MWHTS channelweight function profile; training a BP neural network based on the matching data set, and establishing an optimal model for MWHTS channel weight function profile calculation based on the BP neural network for each channel of the MWHTS; establishing an MWHTS channel weight function maximum value sample as the output of the deep neural network; training the deep neural network by taking the atmospheric parameters and the MWHTS observation altitude angle as the input of the deep neural network, and establishing an optimal model of atmospheric stratification calculation in which the MWHTS channelweight function maximum value based on the deep neural network is located for each channel of the MWHTS. The method is high in calculation speed, small in calculation amount and simple and easy to operate.
Owner:LUOYANG NORMAL UNIV
SSTMV minimum variance beam forming method for wideband radar
InactiveCN107783081AImprove performanceImprove spatial resolutionWave based measurement systemsWideband radarCovariance matrix
The invention discloses an SSTMV minimum variance beam forming method for wideband radar. Array data is obtained by an antenna of the wideband radar, iterative segmentation and FFT conversion are conducted on the array data to obtain array frequency domain data, and conventional beam forming treatment is conducted on the array frequency domain data through a weighting vector for conventional beamforming; sub-array division and combination are conducted on the array frequency domain data obtained after conventional beam forming treatment to obtain sub-array data; calculation and accumulation of an STCM driving covariance matrix are conducted on the sub-array data, and the beam forming of a minimum variance wideband direction-finding algorithm is conducted through the obtained STCM matrix to obtain the minimum variance beam. By means of the method, the radar space resolution capacity can be effectively improved, good performance can be presented under a small number of periods without accumulating or modifying too large number of periods due to the coherent accumulation characteristic of SSTMB, and the method greatly reduces the calculation amount of the algorithm and is suitable for the wideband radar.
Owner:杭州睿达汽车科技有限公司
Aerial shooting traffic video frequency vehicle rapid checking method
InactiveCN100545867CImprove real-time performanceAvoid the problem of inaccurate segmentation or even wrong segmentationImage analysisTelevision systemsMotion vectorGround segment
The method for quickly detecting vehicles in aerial traffic video, the steps are as follows: step 100, adopt global motion estimation in the space-based encoding part, determine the global motion vector of the background; step 200, calculate the residual value according to the global motion vector, and segment the background area and the motion area ; Step 300, judge whether they are all background areas, transfer to the next frame for the images that are all background areas, and perform step 100; otherwise, for the motion area of the image, perform step 400; step 400, first determine an offset on the ground part Low but still able to correctly segment the adaptive gradient threshold of each object, and perform preliminary marker extraction; then introduce the two parameters of area and catchment depth, and further screen the extracted markers to determine the final marker points; then use the marker points as The minimum value of the area is divided by VS watershed; finally, the area is merged according to the texture information of the area; step 500, the shadow is detected in the HSV color space, the false target is filtered out, and the vehicle is finally detected. The invention solves the problem that the calculation amount is large when decompressing the aerial image and detecting the moving target, and it is difficult to meet the requirements of real-time and robustness at the same time.
Owner:BEIHANG UNIV
Large power grid quiescent voltage stability situation evaluation method and system based on linear deduction
ActiveCN111654033ATo overcome the large amount of calculationOvercome the disadvantage of large amount of calculationPower network operation systems integrationAc network voltage adjustmentVoltage amplitudeVoltage stability
The invention provides a large power grid quiescent voltage stability situation evaluation method and system based on linear deduction. The method comprises the following steps: obtaining a stabilitymargin index and a voltage amplitude under an estimated tide section by utilizing linear deduction calculation under a second-level time scale; and constructing a voltage stability situation evaluation index reflecting the power grid operation development trend based on the stability margin difference between the adjacent sections, and judging the system operation development trend according to the size of the voltage stability evaluation index. According to the method, the stability margin index of the estimated section can be accurately and quickly estimated by adopting a linear deduction method; the method is advantaged in that a defect of large calculation amount caused by Jacobian matrix inversion operation of a traditional method is overcome, real-time demands of subsequent prevention and control optimization decisions are adapted, the voltage stability situation evaluation index is constructed, and the operation development trend of the electric power system can be directly determined through the index.
Owner:SHANDONG UNIV +2
Video-based method for rapidly detecting transit vehicles
InactiveCN101872546BReduce computational complexityMeet real-time requirementsTelevision system detailsDetection of traffic movementFrame differenceVideo processing
The invention belongs to the technical field of traffic surveillance and video processing and particularly discloses a video-based method for rapidly detecting transit vehicles. Based on a background difference method, a gradient frame difference method and a frame difference method, the method can simultaneously eliminate the daytime shadows, respiration effect, night headlamp ground-reflected light and other impacts, accurately detect the position of a moving object and judge the lane, where the vehicle is located. According to test results, the method of the invention can overcome the defect that the calculation load is higher in the conventional method and meet the requirement for the real-time performance in the video vehicle detection carried out by an electronic police; and the method is capable of accurately detecting the vehicles in the sight, and has better robustness against the interference, such as light changes, shadows and the like.
Owner:FUDAN UNIV
A Parameter Estimation Method of LFM Signal Based on Power Spectrum
InactiveCN103063909BAccurate valuationOvercome the disadvantage of large amount of calculationElectric devicesPulse characteristics measurementsSignal-to-noise ratio (imaging)Prior information
Owner:TIANJIN UNIVERSITY OF TECHNOLOGY
Networking radar resource allocation method based on mutual information maximization
PendingCN113466825AOvercome the disadvantage of large amount of calculationAddress resource allocationWave based measurement systemsDesign optimisation/simulationFusion centerRadar systems
The invention discloses a networking radar resource allocation method based on mutual information maximization, and relates to the technical field of radars. The method comprises the steps of determining a networking radar model of a networking radar system, and carrying out the initialization of the networking radar model; determining an extended state vector and an extended state transition equation of each target at the current fusion moment; determining an extended state prediction value of each target at the first fusion moment; in the current fusion time interval, observing each target by a preset number of radars, and obtaining an asynchronous measurement value of each target in the current fusion time interval; and sending the asynchronous measurement value to a fusion center so as to enable the fusion center to determine an optimal solution of a resource allocation vector of each target at the first fusion moment after calculating a target tracking information measurement function of each target at the first fusion moment. According to the method, the defect that the objective function is relatively large in computation burden is overcome, and the real-time requirement is met while the resource allocation problem of the heterogeneous networking radar system is solved.
Owner:XIDIAN UNIV
An Image Registration Method for Acoustic Vision 3D Imaging of Underwater Robots
ActiveCN103226828BOvercome the disadvantage of large amount of calculationEliminate geometric distortion in 3D imagingImage analysisImage rotationVisual perception
Owner:HARBIN ENG UNIV
Low noise GPS (Global Positioning System) carrier wave tracking method based on RSL (Recursive least square filter)
The invention relates to a low noise GPS (Global Positioning System) carrier wave tracking method based on an RLS (Recursive least square filter). The low noise GPS carrier wave tracking method comprises the following steps of: measuring an instantaneous phase difference of a local carrier wave and a tracking satellite by a carrier wave tracking loop by utilizing a table look-up type second quadrant arc tangent phase discriminator; introducing the RLS to filter measurement noises; meanwhile estimating a frequency difference according to phase difference variation; utilizing the frequency difference and the phase difference as frequency discrimination input and phase discrimination input of a loop filter with a second order lock frequency loop assistant in a three-order phase locking loop; filtering by the loop filter to output a carrier wave control adjustment variable with high precision and low noise, and correspondingly adjusting carrier wave NCO (Numerical Control Oscillation) to control the local carrier wave so that a receiver keeps phases and frequencies of the local carrier and a tracking satellite carrier wave consistent. In the invention, the low noise GPS carrier wave tracking method based on the RSL ensures that the GPS carrier wave tracking loop can work stably under the condition of low signal to noise ratio and certain dynamic state, keeps the phase not to overturn or skip cycles and ensures the carrier wave tracking precision.
Owner:BEIJING AEROSPACE AUTOMATIC CONTROL RES INST
A Texture Image Segmentation Method Combining Sparse Neighbor Propagation and Fast Spectral Clustering
ActiveCN104732545BOvercome the disadvantage of large amount of calculationReduce computational complexityImage analysisPattern recognitionComputation complexity
The invention discloses a texture image segmentation method combined with sparse neighbor propagation and rapid spectral clustering, and the method mainly solves the problems that in an existing texture image segmentation method, the segmentation accuracy is low and the computation complexity is high. The method comprises the steps that 1, an image to be segmented is input; 2, parameters are set; 3, a grayscale-probability square matrix is generated; 4, the number of data points is counted; 5, a sparse similarity matrix is built; 6, data representative points are selected; 7, clustering is performed on the data points; 8, the image to be segmented is marked; 9, a segmented image is output. Compared with some existing texture image segmentation technologies, the texture image segmentation method combined with sparse neighbor propagation and rapid spectral clustering can better maintain the region consistency of the texture image, the texture image with high segmentation accuracy and good segmentation stability can be obtained, and the computation complexity is low.
Owner:XIDIAN UNIV
Source Number Estimation Method for Polarization Sensitive Arrays
ActiveCN104537248BOvercome the disadvantage of large amount of calculationHeavy computationSpecial data processing applicationsFeature vectorSingular value decomposition
The invention discloses an information source number estimation method for a polarization sensitive array. The method includes the following steps that spatial electromagnetic wave signals are received through a polarization sensitive array formed by N polarization sensitive array elements, and receiving data are obtained; a covariance matrix is calculated according to the data received by the polarization sensitive array; feature value decomposition is conducted on the covariance matrix, 2 N feature values and feature vectors corresponding to the 2 N feature values are solved, and the 2 N feature values are sorted in a descending mode from big to small; feature removal treatment is conducted on the covariance matrix through the sorted front N feature values, corresponding N new covariance matrixes are obtained, and a projection matrix is built through sub spaces formed by the feature vectors corresponding to the sorted rear N feature values; projection on the projection matrix of the N new covariance matrixes is solved respectively; the information source number is estimated according to a projection structure criterion function. According to the information source number estimation method for the polarization sensitive array, the information source number is estimated through a noise sub spatial dimension feature of the polarization sensitive array, the calculated amount is reduced, and the cost is saved.
Owner:HARBIN ENG UNIV
A method for constructing a vehicle three-dimensional scanning platform and generating random sampling points for cargo
ActiveCN103162659BImprove recognition accuracyImprove reliabilityUsing optical meansReal-time dataHuman–machine interface
The invention discloses an intelligent real-time material position coordinate recognition and random point sampling method. The steps comprises: (1) establishing and correlation method of space coordinates constructed by a sensor and space absolute coordinates in an objective reality environment; (2) car body real-time data collection. (3) car body and cargo outline recognition; (4) a random point generation method in a cargo real-time coordinate; and (5) a human-computer interface.
Owner:张振宇
Teaching Video Annotation Method Based on Collaborative Filtering
ActiveCN104700410BOvercome the disadvantage of large amount of calculationSmall amount of calculationImage analysisCharacter and pattern recognitionCosine similarityVideo annotation
Owner:山西恒奕信源科技有限公司
Image spectral clustering method based on fast selection of landmark points
ActiveCN107578063BOvercoming the disadvantages of lossImprove accuracyCharacter and pattern recognitionPattern recognitionComputation complexity
Owner:XIDIAN UNIV
Blockchain Asset Transaction Transfer Method Based on Weighted Threshold Signature Algorithm
ActiveCN109377360BOvercoming the Disadvantages of LeakageImprove securityKey distribution for secure communicationFinanceChinese remainder theoremTheoretical computer science
The invention discloses a blockchain asset transaction transfer method based on a weighted threshold signature algorithm. The specific implementation steps include: 1. Generating a public key-private key pair of the group owner; 2. Distributing weighted private key components; 3. Generating a message to be signed ;4. Several group members form a signature group; 5. The group owner judges whether the signature group meets the threshold condition; 6. Calculates the signature private key component; 7. Calculates the temporary public key; 8. Sends the signature component; 9. Synthesizes complete Signature; 10. Verify signature; 11. Exit the system. The invention adopts a threshold signature algorithm, reduces the risk of private key leakage, and ensures the security of blockchain asset transaction transfer. Using the weighted secret sharing technique based on the Chinese Remainder Theorem (CRT), the efficiency of the signature generation algorithm is improved.
Owner:XIDIAN UNIV
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