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46results about How to "Achieve precise extraction" patented technology
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A method for extracting target objects in interactive video
ActiveCN102270346AAchieve precise extractionAccurate extractionImage analysisFrame differenceInteractive video
The invention discloses a method for extracting a target object from an interactive video, comprising the following steps of: obtaining the frame difference image of three adjacent frames of images by a frame difference method as a rough estimate of the target object; then combining with the coordinate position of the rectangular region of the front frame of image to determine the rectangular region containing the target object in the present frame of image; after that, structuring the energy function of each frame of image in an original video, and realizing the accurate extraction of the target object; adequately utilizing the coordinate position of the rectangular region of the front frame of image during the process of determining the rectangular region containing the target object inthe frame of image, thus, the target object region of the present frame can be accurately determined even if aiming at the conditions of target object suddenly turning to static or background shakingand the like; and finally establishing a fraction model for each frame of image after the target object region is determined, wherein the target object can be accurately extracted by a graph cut method, thereby greatly improving the extraction accuracy.
Owner:NINGBO UNIV
Water body remote sensing identification method based on U-net
PendingCN111104889ASolve the problem of high error rate in remote sensing interpretationAchieve precise extractionScene recognitionNeural architecturesWave bandNetwork model
The invention discloses a water body remote sensing identification method based on U-net. The method comprises the following steps: A, carrying out data collection and preprocessing; b, carrying out preliminary extraction of a water body; c, processing a water body extraction result; d, making training and verification samples; e, training a U-net neural network model; and f, extracting water body. Two water body preliminary extraction algorithms are set through spectral analysis of different ground objects in each wave band of an image, all water bodies and part of other ground objects can beextracted, and a public truth value area, namely a preliminary water body result, is reserved. Classification post-processing, format conversion, modification, training and verification sample makingare carried out on an extraction result, a model is obtained through training of a U-net neural network model, and a water body is predicted. The method is suitable for regions with complex surface structures, is simple to operate and high in universality, can better eliminate interference of shadows, buildings and farmlands in the field steeping period, has a good extraction effect on small lakes and small ponds, and realizes accurate extraction of water bodies.
Owner:SHANDONG UNIV OF SCI & TECH
Building instance extraction method and device of remote sensing image, storage medium and apparatus
ActiveCN110197147AHigh precisionAchieve precise extractionCharacter and pattern recognitionComputer scienceRemote sensing
The invention provides a building instance extraction method and device for a remote sensing image, a storage medium and an apparatus, and the method comprises the steps of extracting a feature map ofthe remote sensing image data, and estimating a building instance existing in the remote sensing image data and an initial detection frame of each building instance according to the feature map; determining a candidate boundary line set corresponding to the building instances according to the feature information of the feature points in the initial detection box of each building instance; selecting a target boundary line corresponding to the building instance from the candidate boundary line set according to the similarity between the prediction position area of the building instance in the initial detection frame of each building instance and the effective area of each candidate boundary line in the candidate boundary line set of the corresponding building instance; adjusting respectiveinitial detection frames according to the target boundary lines of the building instances; and extracting the corresponding building instances from the obtained target detection frames of the buildinginstances, and realizing the accurate extraction of the building instances in the remote sensing image.
Owner:星际空间(天津)科技发展有限公司 +1
Image segmentation method and apparatus
ActiveCN103745456AAchieve precise extractionFull combination of featuresImage analysisImaging processingImage segmentation
The invention, which is suitable for the field of the image processing technology, provides an image segmentation method and apparatus. The provided image segmentation method comprises the following steps that: a sliding operation is detected and a closed curve encircling a target image is generated at an original image according to the sliding operation; a binaryzation image template is generated based on the closed curve, wherein the size of the binaryzation image template is equal to that of the original image; according to the generated binaryzation image template, detection is carried out and the contour of the target image is obtained; a mask is generated according to the contour of the target image; a transparency value of an unknown zone in the mask is calculated; a foreground component and a background component of the original image are determined by utilizing the transparency value and the original image; and on the basis of the determined foreground component and background component of the original image, a foreground image is obtained by segmentation from the original image. According to the invention, the operation feature and the processing performance of the mobile terminal are fully combined; and image segmentation can be realized effectively at the mobile terminal.
Owner:SHENZHEN INST OF ADVANCED TECH
High-precision restoration method of fuzzy image based on vision prior information
InactiveCN109272456ASolve the deblurring problemImprove motion blurImage enhancementImage analysisRestoration methodVision based
The invention belongs to the technical field of computer vision measurement, and relates to a high-precision restoration method of fuzzy image based on vision prior information and system reference quantity. According to the exposure time of binocular vision measurement system, The accurate prior information of frame rate is used to obtain the changing direction of the same center position in image coordinate system and the moving distance in exposure time, that is, the blur direction and the blur scale, so as to obtain the accurate blur kernel of each image by using the relationship between two adjacent frames in the image sequence. Then the non-blind image restoration algorithm is used to deconvolution and get the clear restoration image, which realizes the high-speed image deblurring and restoration in the machine tool dynamic detection, and improves the measurement accuracy of the vision measurement system. The method can effectively improve the motion blurring problem of serial images, and the deblurring effect is obvious, which meets the requirements of precise extraction of machine tool positioning information in high-speed motion state.
Owner:DALIAN UNIV OF TECH
Seamless steel tube defect detection method based on image processing
ActiveCN119338809AAchieve precise extractionimprove accuracyImage enhancementImage analysisAdaptive filterImaging quality
The invention relates to the field of image processing, in particular to a seamless steel tube defect detection method based on image processing, which comprises the following steps: acquiring an image of a sized steel tube through a high-resolution industrial camera, and preprocessing to enhance the image quality; designing an adaptive filter based on image gradient direction and spatial frequency characteristics, and enhancing defect characteristics; extracting a defect region by adopting adaptive threshold segmentation and morphological operation, and constructing a comprehensive feature vector through a Hu moment and a gray-level co-occurrence matrix; and finally, defect identification is realized by using a support vector machine classifier, and technical support is provided for steel pipe production quality control. According to the method, the adaptive filter is constructed based on the gradient direction and the spatial frequency, and efficient detection and classification of seamless steel pipe surface defects are realized by combining the comprehensive feature vector and the support vector machine classifier.
Owner:WUXI RL PRECISION MACHINERY
Near-shore aquaculture area remote sensing image extraction method based on multi-feature and spectrum fusion
ActiveCN112287871AHigh extraction resultAvoid interferenceImage enhancementImage analysisImage extractionRaft culture
The invention discloses a near-shore aquaculture area remote sensing image extraction method based on multi-feature and spectrum fusion, and the method comprises the steps: firstly preprocessing an inputted original remote sensing image, extracting a feature spectrum through a feature index method, and forming a ground feature feature set; secondly, using an improved constraint energy minimizationalgorithm for enhancing a target ground object in a culture area and weakening background spectral information; then using an Otsu method for calculating a threshold value, and preliminarily extracting the target ground object in combination with a single-waveband threshold value; and finally, carrying out customized elimination on the preliminarily extracted result by applying a gray-level co-occurrence texture matrix or an object-oriented method according to the ground object characteristics, and outputting a final result of culture area extraction. Compared with a traditional target detection method, the method has the advantages that even in a breeding area with the obvious foreign matter same spectrum phenomenon, background ground object interference can still be effectively overcome, a high-precision raft breeding area extraction result can be obtained, and the high-precision extraction requirement of the raft breeding area can be well met.
Owner:GUANGDONG OCEAN UNIVERSITY
Satellite Remote Sensing Image Recognition of Water Body
The invention relates to the technical field of remote sensing image processing, which is a water body identification method of satellite remote sensing image. The first step is remote sensing image preprocessing. The second step is feature extraction of water information, wherein the normalized difference water index method is selected as the method of water information extraction. Thirdly, the feature of pixel points in the vicinity of target pixel points is extracted by using the feature expansion algorithm, which is used as the new feature of target pixel. In the fourth step, the extendedfeatures of the third step are used as model inputs to train the depth learning model, and the layer-by-layer greedy method is used to train the model to obtain the parameters of the stack-type self-coding neural network, and then the water information is extracted precisely. The invention constructs a water body information extraction model based on depth learning, relates to the association characteristics of adjacent pixel points and target points in an image, designs and realizes a feature expansion algorithm, connects the original features and the expanded features of the image, trains the depth learning model together, and realizes the accurate extraction of water body information.
Owner:国网新疆电力有限公司信息通信公司 +1
Moving target detection method with combination of region extraction and improved texture feature
ActiveCN108765463ASolve time-consuming problemsResolve interferenceImage enhancementImage analysisSpatial DisplacementBrightness perception
The invention discloses a moving target detection method with the combination of region extraction and an improved texture feature. The method comprises the steps of (1) collecting successive images in a monitoring video as a sampling frame, (2) carrying out background modeling and recovery on each pixel in the sampling frame by using its sampling information, (3) segmenting the image, extractinga foreground region by using statistical features of image blocks, judging the illumination change in the foreground region, and determining whether the second judgment of the foreground region is needed, and (4) carrying out the accurate extraction of foreground pixel points in the foreground region. By performing fast foreground region extraction, the amount of calculation for subsequent accurate judgment is greatly reduced, while the region extraction is carried out, two main interferences including a spatial displacement interference (leaf sway, etc.) and a brightness variation interference (lighting change, etc.) are eliminated, and a moving target in the image sequence is accurately and efficiently extracted.
Owner:HOHAI UNIV CHANGZHOU
Coastline change analysis method based on deep learning
ActiveCN113628227AAchieve precise extractionImprove extraction accuracyImage enhancementImage analysisPattern recognitionData set
The invention discloses a coastline change analysis method based on deep learning, and relates to a coastline change analysis method. The invention aims to solve the problems that the existing shoreline types are complicated, accurate classification of the shoreline types is difficult to realize, shoreline extraction criteria for different types of shorelines are different, and how to realize accurate extraction of the shoreline in a large scene for given multi-temporal remote sensing images. The method comprises the following steps: 1, selecting a coastline data set of a researched area; constructing a neural network to obtain a trained neural network; 2, obtaining a processed multi-temporal coastline remote sensing image, inputting the processed multi-temporal coastline remote sensing image into the trained neural network, and obtaining a coastline type corresponding to the processed multi-temporal coastline remote sensing image; step 3, based on the obtained coastline type, extracting a coastline to obtain a coastline image; and 4, detecting the position change of the coastline based on the obtained coastline image, and calculating the erosion or deposition rate of the coastline. The invention is applied to the field of coastline change analysis.
Owner:HARBIN INST OF TECH
Inverter IGBT tiny fault feature extraction method based on multi-modal data
PendingCN113850154AAvoid installationEasy to implementAc-dc conversionCharacter and pattern recognitionTransient stateVoltage overshoot
The invention relates to an inverter IGBT tiny fault feature extraction method based on multi-modal data. The method comprises the following steps: 1), building an equivalent second-order system of a transient mode of a two-level traction inverter, and carrying out the parameter identification of an expression of the equivalent second-order system; 2) carrying out modal division on the output voltage data of the inverter through an Elman neural network; 3) extracting corresponding tiny fault characteristic parameters in each transient mode, wherein the tiny fault characteristic parameters comprise a voltage overshoot sigma, peak time tp and a voltage slope absolute value delta; 4) extracting a voltage steady-state value Vstab in each steady-state mode; and 5) carrying out fault detection according to the extracted characteristic parameters of the IGBT tiny fault. Compared with the prior art, the method has the advantages of easy realization, cost saving, noise interference reduction, modal classification accuracy improvement, accurate extraction, fault detection and the like.
Owner:TONGJI UNIV
Hazardous chemical solution extraction system based on mobile robot
InactiveCN106737556AImprove adaptabilityImprove detection efficiencyProgramme-controlled manipulatorWithdrawing sample devicesChemical solutionUltrasonic testing
The invention relates to a hazardous chemical solution extraction system based on a mobile robot. The hazardous chemical solution extraction system comprises a total console system, a communication network and the mobile robot. The mobile robot comprises a moving trolley system, a multi-joint mechanical arm system, a clamp system, a vision ultrasonic testing system and a hazardous chemical solution storing system. By the adoption of the system devices, hazardous chemical solutions can be extracted accurately, the surplus hazardous chemical solutions can be treated automatically, the intermediate link is omitted, and the time cost, labor cost and management cost are reduced.
Owner:中国东方电气集团有限公司
Method and system for detecting inclusion defects on surface of wiredrawing steel plate based on machine vision
ActiveCN119313653Aincrease contrastImprove detail performanceImage enhancementImage analysisMachine visionEngineering
The invention discloses a machine vision-based wiredrawing steel plate surface inclusion defect detection method and system. The method comprises the following steps: S1, acquiring a multi-light-source image sequence on the surface of a wiredrawing steel plate and carrying out brightness standardization; s2, decomposing the image sequence after brightness standardization through a Gaussian-Laplacian pyramid, and performing Laplacian pyramid fusion and image reconstruction to obtain a fused image; s3, carrying out directivity analysis on the wiredrawing texture in the fused image, extracting main direction features of the wiredrawing texture, and obtaining a wiredrawing direction consistency feature map; s4, performing feature extraction and feature fusion on the fused image and the wiredrawing direction consistency feature map based on a double-flow feature extraction network, and performing global average pooling operation; and S5, constructing and training a defect classification network, and predicting the defect category of the surface of the wiredrawing steel plate. The problems existing in the existing wiredrawing steel plate surface defect detection technology can be overcome, and the defect of inclusion on the surface of the wiredrawing steel plate is accurately detected.
Owner:HUNAN SHUNXIN METAL PRODUCTS TECHNOLOGY CO LTD
A hybrid DC transmission line traveling wave protection method and system based on dual tree complex wavelet transform
ActiveCN109038515AQuickly distinguish faultsDifferentiate faultsEmergency protective circuit arrangementsEngineeringFault analysis
The invention discloses a hybrid DC transmission line traveling wave protection method and system based on dual tree complex wavelet transform, and the method comprises the following steps: calculating voltage difference modulus and voltage common modulus according to DC voltage of positive and negative electrodes collected; The dual-tree complex wavelet transform is used to calculate the voltagedifference modulus, and the protection is judged whether to start or not according to the high sensitivity start-up. When the protection is started, the fault type is judged and the corresponding protection action is carried out according to the dual tree complex wavelet transform of voltage common modulus and voltage difference modulus and the corresponding fault extremum by using the fault judgment basis of the hybrid DC transmission line. The invention can quickly distinguish the faults of the hybrid HVDC transmission line, can reliably carry out fault pole selection, greatly reduces the translation sensitivity in the common real wavelet transform, can remarkably improve the accuracy of fault analysis in the long-distance transmission line, and realizes the fast identification of the faults of the hybrid DC transmission line.
Owner:CHINA ELECTRIC POWER RES INST +1
Wireless module calibration parameter extraction method and device
ActiveCN114884590AImprove yieldImprove test efficiencyTransmitters monitoringReceivers monitoringTester deviceRadio frequency
The invention discloses a wireless module calibration parameter extraction method and device, and belongs to the technical field of wireless module calibration, and the method comprises the steps: sampling wireless modules, extracting calibration parameters of the batch of wireless modules, testing the sampled wireless modules, and obtaining preset judgment standard values of the batch of wireless modules by referring to test indexes; writing the obtained calibration parameters into a radio frequency calibration parameter storage area corresponding to the wireless module to be tested; testing the to-be-tested wireless module through a comprehensive tester and a PC terminal, and screening out bad, qualified and to-be-calibrated wireless modules according to the judgment standard value; according to the wireless module radio frequency calibration method and device, automatic compensation is carried out on the wireless module needing to be calibrated, bad modules can be accurately screened out, accurate extraction of calibration parameters is achieved, the radio frequency calibration time of the wireless module is greatly shortened, and the product performance consistency, the large-scale production yield and the production efficiency are greatly improved within the industrial-grade temperature range.
Owner:CHENGDU VANTRON TECH CO LTD
Hemoglobin concentration prediction regression model training method, application method and training system
PendingCN113642643AImprove detection accuracy and generalization abilityGuaranteed training speedCharacter and pattern recognitionNeural architecturesA hemoglobinMachine learning
The invention provides a hemoglobin concentration prediction regression model training and application method, and system, and the method comprises the steps of obtaining a multi-channel PPG signal, and carrying out the signal processing of the multi-channel PPG signal; performing manual and automatic feature information extraction on the acquired multi-channel PPG signals, and fusing the manual feature information and the automatic feature information through a feature information fusion mechanism to realize accurate extraction of the feature information; establishing a hemoglobin concentration prediction regression model integrated based on a multi-machine learning algorithm for noninvasive detection, and obtaining a more stable detection result by utilizing efficient integration of a plurality of regression models and multiple regression predictions. According to the method, under the condition that the model training speed is guaranteed, the detection precision and generalization ability of the model can be improved, the method has the advantages of a non-invasive detection method and an invasive detection method, and the technical problem that the hemoglobin concentration of the human body cannot be continuously detected in real time in the prior art is solved.
Owner:SHANDONG INST OF ADVANCED TECH CHINESE ACAD OF SCI CO LTD
Extraction method and device for OLED drawing
ActiveCN108876747AImprove accuracyAccurate extractionImage enhancementReconstruction from projectionVertical projectionComputer science
The embodiment of the invention discloses an extraction method and device for OLED drawing, firstly, vertical projection processing is carried out on the collected pixel distribution map, and the pixel grid is generated, performing parity column separation processing on the pixel grids to obtain the odd column grid and the even column grid, performing transverse projection processing on the odd column grids and the even column grids respectively to obtain the odd column transverse grid and the even column transverse grid, fusing the odd column transverse grids and the even column transverse grids, generating the pixel effective area, and determining the pixel center of the pixel effective area, region division processing is carried out on the pixel effective area according to the pixel center, and obtaining the pixel map; by performing parity column separation processing on the pixel grid, the interval between row pixels is increased, region division processing is carried out on the pixel active region, so that all energy of the pixel can be covered by the result of the region division processing, and accurate extraction of the OLED image is realized.
Owner:BEIJING LUSTER LIGHTTECH
Modulation depth extraction and compensation method in PGC phase demodulation method
ActiveCN111609791AAchieve precise extractionEliminate nonlinear errorsUsing optical meansPhase modulationHarmonic amplitude
The invention discloses a modulation depth extraction and compensation method in a PGC phase demodulation method. The method comprises the steps: multiplying filtered, amplified and analog-digital sampled interference signals by reference signals of a first-order harmonic, a second-order harmonic and a third-order harmonic respectively, performing low-pass filtering to obtain three harmonic amplitude signals, performing differential operation on the three harmonic amplitude signals to obtain three harmonic differential signals, and solving modulation depth by using the harmonic amplitude signals and the harmonic differential signals; in combination with a Bessel function recursion formula, constructing a new harmonic amplitude signal which is not influenced by the modulation depth throughthe harmonic amplitude signal and the solved modulation depth value, so that the influence of the modulation depth is eliminated; and finally, accurately solving the phase to be measured through arc tangent operation. According to the method, the problem that nonlinear errors are difficult to compensate in real time due to modulation depth fluctuation in the PGC phase demodulation technology is solved, the phase measurement precision is improved, and the method can be widely applied to the technical field of interferometric optical fiber sensors and sinusoidal phase modulation interference.
Owner:ZHEJIANG SCI-TECH UNIV
Method for extracting suspected smoke area from dynamic smoke
PendingCN112258403AAvoid calculationKeep sportyImage enhancementImage analysisData setComputer graphics (images)
The invention discloses a method for extracting a suspected smoke area from dynamic smoke. An existing video smoke detection algorithm has the problem that smoke detection is not accurate enough. Theinvention belongs to the field of image recognition. The invention discloses a method for extracting a suspected smoke area from dynamic smoke, and the method comprises the following steps: firstly inputting a video image, and carrying out the frame-by-frame processing of the video image; and screening and cutting the video data set; normalizing the standard with the smog data set size of 32 * 24into a video file with the size of 320 * 240, so as to select video image blocks beneficial to the later period, and sending the video image blocks into an identification model; after normalization, selecting a proper filter to carry out denoising processing, then performing angular point detection on a moving object after partitioning is carried out, judging the moving direction, and extracting asuspected smoke area; and finally, extracting features from the area for identification. Accurate extraction of a suspected smoke area is realized, and the omission factor is reduced by 25 times. Andthe smoke identification accuracy reaches 94-96%.
Owner:HARBIN UNIV OF SCI & TECH
Entity relation joint extraction method and storage device
PendingCN114169522AAchieve precise extractionHigh precisionKnowledge representationNeural learning methodsPattern recognitionData set
The invention relates to the technical field of knowledge maps, in particular to an entity relation joint extraction method and storage equipment. The entity relationship joint extraction method comprises the following steps: step S101, constructing a mesh atlas of an entity type and a relationship type for a given data set, and segmenting the constructed mesh atlas according to the relationship type; step S102, constructing an entity relationship feature filter, and filtering out entity types irrelevant to the relationship; step S103, performing joint extraction on the basis of the remaining entity types related to the specific relationship; and S104, repeating the step S102 and the step S103 until the joint extraction of all the relation types is completed. Through the method, for a specific relationship type, the entity relationship feature filter is constructed by constructing correspondence between the relationship and the corresponding entity type, so that accurate extraction of the entity under the specific relationship is realized, and the accuracy of entity relationship joint extraction is improved.
Owner:福州数据技术研究院有限公司
Method for full automatic extraction of water remote sensing information in coastal zone
InactiveCN102054274BAchieve precise extractionMitigate the salt and pepper noise effectImage analysisComputer scienceWater remote sensing
Owner:NANJING UNIV
A microseismic effective signal detection method combining u-net network and densenet network
ActiveCN110210296BImprove segmentationAchieve precise extractionCharacter and pattern recognitionSeismic signal processingData setFeature extraction
The present invention provides a kind of microseismic effective signal detection method combining U-net network and DenseNet network, comprising: (1) generating original data set; (2) calibration data set; (3) constructing MSNet network; (4) adjusting Network parameters; (5) Calibrate the first arrival point after signal learning. The present invention also provides a microseismic effective signal detection system combining U-net network and DenseNet network, including: original data set generation module, data set calibration module, MSNet network construction module, network parameter adjustment module, after learning point calibration module. The present invention is based on U-net network learning and extraction of signal features of CNN network, combined with the DenseNet network, to achieve the purpose of further optimizing the learning and extraction of signal features. The invention has the characteristics of deeper feature extraction and finer signal segmentation in microseismic monitoring, and can be widely used in the field of underground state monitoring.
Owner:YANGTZE UNIVERSITY
Method and system for extracting three-dimensional information of variable-speed moving target
PendingCN119439091ARaise the minimumAchieve precise extractionRadio wave reradiation/reflectionEngineeringArray element
The invention belongs to the technical field of radar detection, and discloses a variable motion target three-dimensional information extraction method and system, and the method comprises the steps: S1, transmitting a detection signal through a single-transmitting multi-receiving uniform circular array UCA antenna device, and building a target echo equation; s2, performing line frequency resolution and fast time domain fast Fourier transform on the echo of a single array element, removing a residual video phase, obtaining a one-dimensional range profile of a target, and extracting a rotation center coordinate; s3, performing line frequency tuning solution and fast time domain fast Fourier transform on total echoes of all array elements, removing a residual video phase term, and performing derivation to obtain a target Doppler frequency shift; and S4, extracting the rotation acceleration, the initial speed, the acceleration change coefficient, the rotation radius, the inclination angle, the rotation center and the coordinates of the moving target. According to the method, a trust domain dogleg algorithm is utilized to jointly solve a nonlinear equation set of target line and angle Doppler frequency shift, and the rotation radius, the inclination angle and the three-dimensional coordinates of the rotation center of the target are extracted.
Owner:ENG UNIV OF THE CHINESE PEOPLES ARMED POLICE FORCE
Rare-earth-phosphonic acid ultrathin two-dimensional material as well as preparation method and application thereof
InactiveCN109385267AEasy to manufactureAchieve selective attachmentLuminescent compositionsProtonationRare earth
The invention belongs to the technical field of functional materials, and particularly relates to a rare-earth phosphonic acid ultrathin two-dimensional material as well as a preparation method and application thereof. The molecular formula of the rare-earth phosphonic acid two-dimensional material disclosed by the invention is [M(R-PO3)(R-PO3H)H2O], wherein M is any one or a combination of two ofrare earth Eu and Tb trivalent cations, R-PO3 is a completely deprotonated form of an organic phosphonic acid group of R-PO3H2, R-PO3H is a partially deprotonated form of the organic phosphonic acidgroup of the R-PO3H2, and R is m-carboxyphenyl or m-isothiocyano phenyl; and the two-dimensional material is obtained by carrying out one-step hydrothermal reaction on a rare-earth salt and the organic phosphonic acid. The rare-earth phosphonic acid ultrathin two-dimensional material aiming at fingerprint characteristic chemical substances can ensure accurate extraction of a fingerprint and the clear line of the fingerprint by specific reaction between the material and the mark of the fingerprint. The fingerprint extraction material provided by the invention is simple in preparation method andeasily available in raw materials, the fingerprint extraction operation is simple, the fingerprint color development is clear, and the fingerprint extraction material has an application prospect in criminal investigation.
Owner:FUDAN UNIV
Method and system for detecting inclusion defects on the surface of drawn steel plate based on machine vision
The present invention discloses a method and system for detecting defects of inclusions on the surface of a brushed steel plate based on machine vision, including: S1: obtaining a multi-light source image sequence of the surface of a brushed steel plate and performing brightness standardization; S2: decomposing the image sequence after brightness standardization through a Gaussian-Laplacian pyramid and performing Laplace pyramid fusion and image reconstruction to obtain a fused image; S3: performing directional analysis on the brushed texture in the fused image, extracting the main direction features of the brushed texture, and obtaining a brushed direction consistency feature map; S4: performing feature extraction and feature fusion on the fused image and the brushed direction consistency feature map based on a dual-stream feature extraction network, and performing a global average pooling operation; S5: constructing a defect classification network and performing training to predict the defect category on the surface of a brushed steel plate. The present invention can overcome the problems existing in the existing brushed steel plate surface defect detection technology and accurately detect defects of inclusions on the surface of a brushed steel plate.
Owner:HUNAN SHUNXIN METAL PRODUCTS TECHNOLOGY CO LTD
Laser cladding lap joint method and device applied to spherical surface and electronic equipment
PendingCN119571310Aquality improvementimprove consistencyMetallic material coating processesMathematical modelLap joint
The invention relates to a laser cladding lap joint technology, and discloses a laser cladding lap joint method applied to a spherical surface, which comprises the following steps: acquiring an applied spherical surface, carrying out single-channel coating cladding processing on the applied spherical surface, and obtaining a laser cladding single-channel coating after the processing is finished, the applied spherical surface refers to a surface with curvature of a workpiece subjected to laser cladding; an outer contour curve of the laser cladding single-channel coating is extracted, and a contour line mathematical model of the application spherical surface is established based on the outer contour curve; and according to the contour line mathematical model, a laser cladding multi-coating lap joint model of the application spherical surface is established, and laser cladding is conducted on the application spherical surface through the laser cladding multi-coating lap joint model. The invention further provides a pipeline leakage positioning device, electronic equipment and a storage medium. According to the invention, the quality and consistency of the spherical laser cladding layer can be improved.
Owner:CHONGQING TECH & BUSINESS UNIV
A Remote Sensing Identification Method for Surface Water System Around Coal Mine
ActiveCN103914692BHigh precisionAchieve precise extractionCharacter and pattern recognitionBand spectrumAlways true
The invention discloses a remote sensing identification method for surface water systems around coal mines, which comprises the following steps: selecting a clear image within one month before and after the time phase to be studied as a data source, and preprocessing the data; The sum of the red band minus the sum of the near-infrared band and the infrared band is greater than the predetermined threshold, and the band calculation is performed to initially extract the water body and generate multiple binary images; the predetermined threshold value is based on the water body spectrum in the band difference image The threshold set by the starting point; multiple binary images of the same period and different time phases are combined to perform pixel-by-pixel calculations, and the mode of the pixel value is taken as the final pixel value to remove shadows that are not always true The pixel forms the extraction result, and finally the extraction result is overlaid on the original image to check the extraction situation of the water body. The public water body part of the multi-temporal image is retained, which can effectively remove shadows and improve the accuracy of water body recognition.
Owner:青岛星科瑞升信息科技有限公司
A method and device for extracting time-frequency features of an engine vibration signal
The application provides a time-frequency feature extraction method and device for an engine vibration signal. The method comprises the following steps: dividing the vibration acceleration signal of the engine into a noise sub-signal and a vibration sub-signal, filtering the noise sub-signal by using a non-local mean method, and recombining the filtered signal and the vibration sub-signal in the time domain, processing the recombined signal by using a TVF-EMD method, further suppressing the noise signal by constructing a plurality of different filters, and obtaining a vibration acceleration signal composed of a plurality of intrinsic mode function sub-signals. The application removes the noise interference information of the vibration signal from two directions of time and frequency domains, strengthens the denoising effect, and realizes accurate extraction of vibration characteristic information.
Owner:BEIJING INST OF SPACE LAUNCH TECH
Image extraction method and device
InactiveCN103873754AGuaranteed accuracyAchieve precise extractionTelevision system detailsColor television detailsImage extractionImage field
The embodiment of the invention provides an image extraction method and device, relating to the image field and used for accurately extracting target images. The method comprises obtaining a first image, receiving the infrared light reflected by a reference body and obtaining a second image in dependence on the reflected infrared light; wherein the second image corresponds with the first image; the first image and the second image are sent to an image processing device, so that the image processing device maps the second image with the first image and extracts target images from the first image in dependence on the second image. The image extraction method and device are used for extracting images.
Owner:LENOVO (BEIJING) CO LTD
Hyperspectral image classification method and device, electronic equipment and medium
InactiveCN119672442AAccurately capture dependenciesImprove classification performanceClimate change adaptationCharacter and pattern recognitionPixel mappingHyperspectral image classification
The invention provides a hyperspectral image classification method, which comprises the following steps of: inputting a true value image containing a hyperspectral image and a ground feature corresponding to the hyperspectral image, and dividing the hyperspectral image into a training set and a test set; the method comprises the steps of clustering pixels in a hyperspectral image, segmenting each clustering region to generate a plurality of segmented regions, generating a segmented region and pixel mapping relation matrix according to pixel distribution of each segmented region, and constructing a pixel node adjacency matrix and a superpixel node adjacency matrix; constructing a double-branch graph convolutional network; the double-branch graph convolutional network is trained; and predicting a label of the test set data through the trained double-branch graph convolutional network, and completing classification of the hyperspectral image. According to the method, the global and local features of the image can be accurately extracted, the fineness and accuracy of feature extraction are further improved through the arrangement of pixel-level feature extraction branches, and a solid foundation is provided for high-precision classification.
Owner:XIAN UNIV OF POSTS & TELECOMM