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689results about How to "Effective segmentation" patented technology
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Scalable and secure high-level storage access for cloud computing platforms
ActiveUS8352941B1Effective segmentationImprove the level ofMultiprogramming arrangementsSoftware simulation/interpretation/emulationTrusted componentsTrust relationship
An untrusted component exposing a high level storage object interface within an untrusted client virtual machine accepts application level storage object operations. Responsive to a storage object operation, the untrusted component passes a message through the underlying hypervisor to an associated trusted component. The trusted component processes the message by authenticating the client virtual machine and locating an internal mapping between the client virtual machine and an associated customer-specific set of backend storage resources to which the requested storage object operation is to be applied. The trusted component uses a trust relationship with the backend storage system to securely communicate the storage object operation to the backend storage system, and passes the operation results through the hypervisor back to the untrusted component in the source client virtual machine from which the storage object request originated.
Owner:EMC IP HLDG CO LLC
Image segmentation
ActiveUS20060285747A1Reduce segmentation errorEfficient solutionImage enhancementTelevision system detailsImage segmentationComputer vision
Segmentation of foreground from background layers in an image may be provided by a segmentation process which may be based on one or more factors including motion, color, contrast, and the like. Color, motion, and optionally contrast information may be probabilistically fused to infer foreground and / or background layers accurately and efficiently. A likelihood of motion vs. non-motion may be automatically learned from training data and then fused with a contrast-sensitive color model. Segmentation may then be solved efficiently by an optimization algorithm such as a graph cut.
Owner:MICROSOFT TECH LICENSING LLC
Method for segmenting different objects in three-dimensional scene
InactiveCN101877128AEliminate occlusionEliminate the effects ofImage analysisPattern recognitionData set
The invention discloses a method for segmenting different objects in a three-dimensional scene. The method comprises the following steps of: establishing adjacency relations and a spatial searching mechanism of point cloud data to estimate a normal vector and a residual of each point for the outdoor scene three-dimensional point cloud data acquired by laser scanning; determining the point with the minimum residual as a seed point and performing plane clustering by using a plane consistency restrictive condition and a region growing strategy to form the state that the entire plane building is segmented from other objects in the three-dimensional scene; establishing locally connected search for a plane building region for the segmented entire building part, and clustering the points with connectivity in the same plane by using different seed point rules to realize the detailed segmentation of the plane of the building; and constructing distance label-based initial cluster blocks for the other segmented objects and establishing weighting control restriction for cluster merging to realize the optimal segmentation result of trees. Tests on a plurality of data sets show that the method can be used for effectively segmenting the trees and buildings in the three-dimensional scene.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI +1
System and Method of Video Wall Setup and Adjustment Using Automated Image Analysis
InactiveUS20150279037A1Create efficientlyEffective segmentationImage enhancementImage analysisImaging analysisDisplay device
A system is disclosed for identifying, placing and configuring a physical arrangement of a plurality of displays via image analysis of captured digital camera images depicting unique configuration images output to said displays to facilitate uniform operation of said plurality of displays as a single display area for example as a video wall. The system pairs and configures displays depicted in the captured images to individual displays within the physical arrangement through controlling and analyzing of the output of said displays captured in said images. A method and computer readable medium are also disclosed that operate in accordance with the system.
Owner:USERFUL CORP +1
Method for segmentation of lesions
A method of image segmentation includes receiving a set of voxels, segmenting the set of voxels into a foreground group and a background group, and classifying voxels of the foreground group as either lesion voxels or normal anatomy voxels. The method also includes blocking the normal anatomy voxels and performing a second segmentation on voxels of the background group and the lesion voxels, the second segmentation forming a stage two foreground group comprising the lesion voxels and a portion of the voxels of the background group. The method further includes classifying voxels of the stage two foreground group as either stage two lesion voxels or stage two normal anatomy voxels.
Owner:PHILIPS HEALTHCARE INFORMATICS INC
Vehicle license plate recognition method
InactiveCN105373794ANarrow detection rangeDetection speedCharacter and pattern recognitionCharacter recognitionTemplate matching
The invention provides a vehicle license plate recognition method, and relates to a method for image recognition. The method comprises the following steps of preprocessing an image; partitioning a vehicle region according to color and texture characteristics; extracting a remarkable factor graph of a vehicle region diagram; extracting candidate vehicle license plates by an Adaboost classifier based on expanded Harr-like characteristic; determining the position of a real vehicle license plate from the candidate vehicle license plates; partitioning the marked vehicle license plate from the corresponding vehicle region original diagram; carrying out character segmentation according to structural characteristic; and carrying out character recognition based on the improved template matching method. With the method provided by the invention, the defects that the application scene of the traditional vehicle license plate recognition method is relatively single, some traditional vehicle license plate recognition methods are only suitably used for single vehicle license plate recognition of the single scene and difficultly used for multiple-vehicle license plate recognition of multiple scenes, and the recognition rate is easily affected by strong light, haze and weak light environments are overcome.
Owner:HEBEI UNIV OF TECH
System and method for adaptive resource management
InactiveUS7203746B1Eliminating unforseen problemReduce the amount requiredDigital computer detailsProgram controlAdaptive managementComputerized system
A system and method for monitoring resource requirements in a computer system and for adding (or subtracting) such resources as required. In a preferred embodiment, the system automatically, without user intervention, makes the resource adjustment when calculations indicate a need for such an adjustment. The system stores historical and statistical data concerning a multitude of parameters and the action taken with respect to the resources reflects a comparison against such stored data.
Owner:OBJECTIVE SYSTEMS INTEGRATORS
Infrared images method for detecting targets at sea
InactiveCN101604383AEffective segmentationSuppress sea clutterCharacter and pattern recognitionPattern recognitionSky
The invention provides an infrared images method for detecting targets at sea, which relates to a method for detecting the targets at sea. The invention aims to provide the method for detecting the targets at sea, which not only can well inhibit sea clutters to obtain reasonable image segmentations, but also can extract out the fractal characteristics at a high speed to remove false targets so as to achieve effective detections. The method comprises the following steps: performing preprocessing on the obtained infrared images; performing self-adapting iteration threshold segmentation; detecting whether the part of a sea-sky line has a region of interest (ROI); extracting the ROI at the background part of the sea-sky line; extracting the ROI at the background part of a non-sea-sky line; and combining the regions of interest to obtain an image of interest to be further processed, and extracting the fractal characteristics of each ROI to perform target detections. The method can quickly and effectively segment out the regions of interest in the infrared images, and not only reduces the amount of calculation to extract out the fractal characteristics at a higher speed because the extracted regions of interest is far smaller than the original images, but also can remove the false targets appearing in the threshold segmentation through the fractal characteristics.
Owner:HARBIN INST OF TECH
Method and module for extracting and interpreting information of remote-sensing image
InactiveCN103500344AEffective segmentationHigh precisionCharacter and pattern recognitionObject basedClassification rule
The invention discloses a method and module for extracting and interpreting information of a remote-sensing image, and provides a geographical element object based automatic interpreting method based on SRMMHR and random forest. The module extracts and interprets the information of the remote-sensing image by the adoption of the method. The method and module for extracting and interpreting the information of the remote-sensing image can achieve effective segmentation of the remote-sensing image, automatic optimization of characteristics, and automatic establishment of a classification rule set; a means which is little in manual intervention, high in degree of automation and high in interpreting precision is provided for extracting and interpreting the information of the remote-sensing image.
Owner:CHINESE ACAD OF SURVEYING & MAPPING
Substrate of artificial leather including ultrafine fibers and methods for making the same
InactiveUS20060263601A1Good flexibilityGood drapeVacuum evaporation coatingSputtering coatingCrystallinityPolymer
There is provided a method for splitting a split type conjugate fiber. The method includes four steps. Firstly, there is provided a first polymer with crystallization of 40% to 95% and a second polymer with crystallization of 1% to 25%. Secondly, a conjugate fiber is made of the first and second polymers by conjugate spinning. Thirdly, the conjugate fiber is submerged in water so that the conjugate fiber contains water. Finally, the conjugate fiber is heated and split into fine fibers.
Owner:SAN FANG CHEM IND
Method and apparatus for recovering a three-dimensional scene from two-dimensional images
InactiveUS7352386B1Reduce in quantityEffective segmentationImage enhancementDetails involving processing stepsKey frameBundle adjustment
A method and apparatus for recovering a three-dimensional (3D) scene from two-dimensional (2D) images. A sequence of images is divided into a number of smaller segments and a 3D reconstruction is performed on each segment individually. All the reconstructed segments are then combined together through an efficient bundle adjustment to complete the 3D reconstruction. Segmenting may be achieved by dividing the segments based on the number of feature points that are in each frame. The number of frames per segment is reduced by creating virtual key frames. The virtual key frames encode the 3D structure for each segment, but are only a small subset of the original frames in the segment. A final bundle adjustment is performed on the virtual key frames, rather than all of the original frames. Thus, the final bundle adjustment is two orders of magnitude faster than a conventional bundle adjustment.
Owner:MICROSOFT TECH LICENSING LLC
Intelligent wheelchair dynamic gesture recognition method based on Kinect depth information
InactiveCN103390168ASegmentation is accurate and effectiveAccurate and effective identificationCharacter and pattern recognitionWheelchairFeature extraction
The invention discloses an intelligent wheelchair dynamic gesture recognition method based on Kinect depth information and relates to the field of intelligent wheelchairs. A method of dynamic gesture recognition based on Kinect depth image information is adopted, and the intelligent wheelchair dynamic gesture recognition method has strong expansibility, can solve problems of influence on gesture detection caused by complex backgrounds, large-area skin color interference and the like and can accurately and effectively separates hands. Subsequently, a method combining Camshift and Kalman filtering is adopted to fast and effectively track gestures, a fused feature extraction method is adopted, and accuracy of dynamic gesture recognition is improved. When the intelligent wheelchair dynamic gesture recognition method is applied to an intelligent wheelchair control system based on dynamic gesture recognition, fast and accurate dynamic gesture command recognition can be achieved, the intelligent wheelchairs can be safely and stably controlled, and the natural and visual man-machine interaction mode between people and the intelligent wheelchairs is achieved.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Video caption text extraction and identification method
ActiveCN102332096AAvoid Segmentation ErrorsEffective segmentationCharacter and pattern recognitionPattern recognitionHorizontal and vertical
The invention discloses a video caption text extraction and identification method which comprises the following steps of: inputting an image of a caption area in a video; converting the input image into a grayscale; judging the arrangement direction of characters in the caption area; counterclockwise rotating the caption area in which vertical arrangement is adopted 90 degrees to obtain a horizontal caption area; lining the caption area to obtain single-line caption images; automatically judging foreground colors of the single-line caption images to obtain binary single-line caption images; over-segmenting the binary single-line caption images to obtain character segment sequences; and performing text line identification on the over-segmented binary single-line caption images. By utilizing the method, horizontal and vertical video caption text lines can be effectively segmented, the foreground colors of the characters can be accurately judged, noises can be filtered, and accurate character segmentation and identification results can be obtained; and the method can be applicable to a plurality of purposes such as video and image content editing, indexing, retrieving and the like.
Owner:北京中科阅深科技有限公司
Split-torque gear box
ActiveUS20050011307A1Reduce weightUncomplicated and inexpensive to manufactureToothed gearingsPortable liftingLow speedTransmitted power
A split torque gearbox system provides a multiple path, three stage power gear train that transmits torque from a high-speed engine to a low speed output shaft, while providing equal gear load distribution with a floating pinion in the second stage of reduction. The number of the split modules in the gearbox depends on gearbox configuration, number of high speed input shafts, and transmitted power. The split modules are located around a last stage output gear that combines power from each module and transmits the power to an output such as a main rotor system.
Owner:SIKORSKY AIRCRAFT CORP
Dual-gate metal-oxide semiconductor device
ActiveUS20060113601A1Improve high frequency performanceIncreasing HCI degradationSemiconductor devicesSemiconductorMetal
An MOS device includes first and second source / drain regions of a first conductivity type formed in a semiconductor layer of a second conductivity type proximate an upper surface of the semiconductor layer, the first and second source / drain regions being spaced apart relative to one another. A non-uniformly doped channel region of the first conductivity type is formed in the semiconductor layer proximate the upper surface of the semiconductor layer and at least partially between the first and second source / drain regions. An insulating layer is formed on the upper surface of the semiconductor layer. A first gate is formed on the insulating layer at least partially between the first and second source / drain regions and above at least a portion of the channel region, and at least a second gate formed on the insulating layer above at least a portion of the channel region and between the first gate and the second source / drain region. The second gate has a length which is substantially greater than a length of the first gate, the first and second gates being electrically isolated from one another.
Owner:BELL SEMICON LLC
Method for positioning and identifying laser character of beer bottle cap
InactiveCN102945368AEnsure accurate positioningEffective segmentationCharacter and pattern recognitionTemplate matchingCharacter recognition
The invention discloses a method for positioning and identifying a laser character of a beer bottle cap, which comprises the following steps: step 1, character positioning which comprises coarse positioning and fine positioning, that is, carrying out binaryzation, corrosion expansion, edge detection, contour tracing and Hough transform processing on a positioning character image, searching an angle between the straight lines on which two edges of the positioned character A are positioned, calculating a rotating angle of the character, searching coordinates of the center of the bottle cap, translating the center of the bottle cap to the center of an original bottle cap image, aligning the bottle cap image according to the calculated rotating angle of the character and repositioning the character; and step 2, character division and identification, wherein the character identification comprises the steps of extracting a 13 characteristic, extracting a protection statistical characteristic, extracting a coarse grid characteristic and finally carrying out matched identification on the character on the basis of the three character characteristics by utilizing a template matching method. The method disclosed by the invention aims at the character image of the bottle cap, which has a complex background and nonuniform illumination and implements the positioning on the laser character of the beer bottle cap, which rotates at a random angle.
Owner:XIAN UNIV OF TECH
Level set polarization SAR image segmentation method based on polarization characteristic decomposition
InactiveCN101699513AFast splitReduce complexityImage analysisRadio wave reradiation/reflectionData spaceDecomposition
A level set polarization SAR image segmentation method based on polarization characteristic decomposition, belonging to the radar remote sensing technology or the image processing technology. In the invention, a polarization characteristic vector v which is composed of three polarization characteristics: H, alpha and A is obtained by the polarization characteristic decomposition of each pixel point of the original polarization SAR image; the polarization characteristic vectors v of all the pixel points are combined into a polarization characteristic matrix omega so as to convert the segmentation problem of the polarization SAR image from data space to polarization characteristic vector space; and the condition that the characteristic vector definition is suitable for energy functional of the polarization SAR image segmentation is utilized and a level set method is adopted to realize the numerical value solution of partial differential equation, thus realizing the polarization SAR image segmentation. The method provided by the invention takes full use of the polarization information of the polarization SAR image; therefore, the image edge obtained by segmentation is relatively complete so that the local characteristic is maintained better, the robustness for noise is stronger, the stability of the arithmetic is higher and the segmentation result is accurate; and the invention reduces the complexity of data and can effectively improve the image segmentation speed.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Method and system for detecting and/or classifying cancerous cells in a cell sample
ActiveUS20140139625A1Fast and inexpensiveIncrease riskTelevision system detailsPhase-affecting property measurementsCancer cellDigital holographic microscopy
The current invention concerns a method for detecting cancerous cells and / or classifying cells in a cell sample comprising the following steps: providing a cell sample; obtaining holographic information from said cell sample by digital holographic microscopy (DHM); deriving at least one cellular parameter from said holographic information, and; classifying said cells of cells sample; characterized in that said classification occurs by appointing a Scoring Factor to said cells of cell sample, based on said cellular parameters. In a second aspect, a system for the detection of cancerous cells and / or classification of cells in a cell sample is provided, employing the method as disclosed in the invention. In a final aspect, a method for updating and / or improving a database comprising thresholds linked to holographic information and the database related thereof is equally disclosed.
Owner:OVIZIO IMAGING SYST NV SA
Method of quickly segmenting moving target in non-restrictive scene based on full convolution network
ActiveCN106296728AOvercoming the disadvantages of incomplete target segmentationUnlimited sizeImage enhancementImage analysisGround truthSample image
The invention relates to a method of quickly segmenting a moving target in a non-restrictive scene based on a full convolution network, which belongs to the technical field of video object segmentation. The method comprises steps: firstly, framing is carried out on the video, and a result after framing is used for making a Ground Truth set S for a sample image; a full convolution neural network trained through a PASCAL VOC standard library is adopted to predict a target in each frame of the video, a deep feature estimator for an image foreground target is acquired, target maximum intra-class likelihood mapping information in all frames is obtained hereby, and initial prediction on the foreground and the background in the video frames is realized; and then, through a Markov random field, deep feature estimators for the foreground and the background are refined, and thus, segmentation on the video foreground moving target in the non-restrictive scene video can be realized. The information of the moving target can be effectively acquired, high-efficiency and accurate segmentation on the moving target can be realized, and the analysis precision of the video foreground-background information is improved.
Owner:KUNMING UNIV OF SCI & TECH
Acquisition method and apparatus of operation area of farm machinery
ActiveCN107036572AHigh precisionHigh degree of automationMeasurement devicesCluster algorithmFarm machine
The invention provides an acquisition method and apparatus of the operation area of farm machinery. The acquisition method of the operation area of farm machinery includes the steps: receiving the farm machinery operation track data sent from a farm machinery positioning device; based on the operation speed, improving the neighborhood radius determination method of the dbscan clustering algorithm; utilizing the improved dbscan clustering algorithm to filter the road driving point and the field transition point in the farm machinery operation track data; according to the filtered farm machinery operation track data, determining the number of fields operated by the farm machinery; and utilizing the distance method to calculate the area of each field operated by the farm machinery. The acquisition method and apparatus of the operation area of farm machinery can adaptively determine the neighborhood radius according to the operation speed of farm machinery, can effectively segment the adjacent fields operated by the farm machinery, and can improve the accuracy and automation degree for acquisition of the operation area of the farm machinery.
Owner:CHINA AGRI UNIV
Tensor-based user track mining method
ActiveCN104850604AEffective segmentationEfficient clusteringSpecial data processing applicationsTrajectory data miningComputer science
The present invention discloses a tensor-based user track mining method. The tensor-based user track mining method comprises: (1) acquiring history track data of a user; (2) dividing data with time difference exceeding a predetermined time threshold in the history track data to form a plurality of segments of continuous track data; (3) extracting an arrest point of the user in each segment of track on account of each segment of continuous track data; (4) dividing the arrest point into a start point and a destination point and acquiring a corresponding road segment in sequence by a map matching method; (5) building a three-dimensional tensor by using the arrest point and the road segment sequence; (6) finding a related hotspot road segment between the start point and the destination point for a user search request (S,Q); and (7) calculating a recommended path according to a road segment weight set. The tensor-based user track mining method according to the present invention has the advantages as follows: only longitude and latitude of each of the start point and the destination point are provided for searching the hotspot recommended path between the start point and the destination point for the user search request; and the user does not need to understand the background implied data structure.
Owner:HUAZHONG UNIV OF SCI & TECH
Contact network failure detection and diagnosis method based on unmanned aerial vehicle
ActiveCN102129564ASave storage spaceReduce computationBiological neural network modelsCharacter and pattern recognitionContact networkDiagnosis methods
The invention discloses a contact network failure detection and diagnosis method based on an unmanned aerial vehicle, which comprises the following steps: (1) image acquisition: carrying a video camera to shoot along a contact network by an unmanned aerial vehicle so as to respectively acquire contact network images under visible light and infrared light; (2) image graying; (3) image enhancement; (4) image segmentation; (5) image dissection; (6) image fusion: fusing Laplacian pyramid layers under visible light with corresponding Laplacian pyramid layers under infrared light, and carrying out image reconstruction on the fused Laplacian pyramid to obtain a contact network component image after the visible light image and the infrared light image are fused; and (7) carrying out image identification and failure judgment by a BP (back-propagation) neural network. The method can be used for effectively acquiring a contact network image in the operation process of a locomotive in a multidirectional multiangular real-time mode, automatically identifying the contact network component in the image, and judging whether the contact network fails and the type of the failure; and the judgment result is more accurate and reliable, and can better ensure the safety of railway transportation.
Owner:SOUTHWEST JIAOTONG UNIV
Binary method for low-quality document image based on local contract and estimation of stroke width
InactiveCN105374015AIndependent of color pixel valuesColor pixel value independentImage enhancementImage basedEdge detection
The invention relates to a binary method for a low-quality document image based on local contract and estimation of stroke width. The method comprises the steps that the scanned document image is obtained; the colored document image u (x, y) is grayed in a minimum mean method; character stroke pixel is detected based on the local contrast; global optimal thresholding is carried out on the obtained local contract image in an Otsu method; edge detection is carried out on the binary image via a Canny operator, the amount nfg of the character foreground pixels and the amount nedge of the character edge pixels are calculated respectively, the contour proportion lambda is calculated by dividing the nfg by the nedge, and the character stroke width is estimated via the contour proportion; and image local binarization is carried out in a sliding neighborhood method. According to the method, details of character strokes are reserved effectively, the character foreground is effectively segmented, and phenomena including ink marks infiltration, spot of pages, textured background, and non-uniform illumination can be inhibited.
Owner:HUBEI UNIV OF TECH
Method for automatically identifying pavement diseases
ActiveCN104021574AEffective segmentationImprove recognition efficiencyImage analysisPattern recognitionAlgorithm
The invention discloses a method for automatically identifying pavement diseases. The method comprises the following steps of 1, converting an input pavement grey image into a binary image; 2, using a digital filter template for performing expansion processing and corrosion processing on the binary image obtained in the step 1; performing eight-communication mark on the image obtained in the step 2, obtaining the height and width of each communication area, and setting the communication area with the maximum value of the height and width smaller than the first preset threshold value to be black; 4, performing linear fitting on each communication area of the image obtained in the step 3, obtaining the length and direction vectors of a fitting line segment, obtaining the communication areas where the fitting segments with the length larger than the second preset threshold value are located, and taking the communication areas as seed areas; 5, obtaining confidence coefficients of all extended seed areas, if the maximum confidence coefficient is smaller than the confidence coefficient threshold value, judging that the diseases are not found in the pavement grey image, and if the maximum confidence coefficient is larger than a confidence coefficient threshold value, judging that the diseases are found in the pavement grey image.
Owner:WUHAN WUDA ZOYON SCI & TECH
Method for segmentation of lesions
Owner:PHILIPS HEALTHCARE INFORMATICS INC
Three-dimensional laser radar point cloud target segmentation method based on depth map
ActiveCN109961440AAvoid splittingImprove real-time performanceImage enhancementImage analysisPoint cloudRadar
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Three-dimensional brain blood vessel model construction method based on tree structure
InactiveCN103247073AAccurate extractionEffective segmentationImage analysis3D modellingMedicineData field
The invention discloses a three-dimensional brain blood vessel model construction method based on a tree structure. The method includes the following steps: firstly, acquiring a three-dimensional brain blood vessel body data field from CT or MRA equipment; separating the brain blood vessel from background noise through a partitioning algorithm; secondly, calculating the skeleton line of the brain blood vessels, and building a tree-shaped brain blood vessel topological structure as per the skeleton line structure; next, calculating out the radius of the brain blood vessel at each control point through the elastic ball algorithm as per the skeleton line; and finally, three-dimensionally displaying the built brain blood vessels adopting the tree-shaped structure. The construction method provided by the invention accords with information of the space topological structure for brain blood vessels, and has the advantages of high vessel display precision and small result error; and the vessel lesion area can be detected, and the mapping in a multi-scale manner with respect to display windows of different sizes can be realized.
Owner:BEIJING NORMAL UNIVERSITY
Method and apparatus for a solid state light source
A solid state light source device for generating a constant broad band light useful in multiple SLM projectors. The light source device includes a blue or UV / near UV excitation light and a moving plate carrying wavelength conversion materials to convert the excitation light into a broad band light. The wavelength conversion materials include red, green, yellow and / or blue phosphors, and may pass some of the blue excitation light. The broad band light outputted by the phosphor plate includes at least two primary color components and has a constant intensity and spectrum as a function of time. The solid state light source device further includes a second light source such as a blue light source, and a light combination device which combines the output light of the moving phosphor plate and the light from the second light source into one beam of constant, broad band light.
Owner:APPOTRONICS CORP LTD
Identification method for information carrier comprising multi-type identifications
ActiveCN104392238AAccurate Segmentation MarkEasy to divideCharacter and pattern recognitionSensing by electromagnetic radiationGraphicsAlgorithm
The invention brings forward an identification method for an information carrier comprising multi-type identifications. The information carrier can be a product label. By use of auxiliary positioning identification and a corresponding positioning identification detection identification algorithm, auxiliary positioning identifications on the information carrier are automatically identified, such that automatic positioning of multi-type data is realized. By use of an image identification algorithm, such information as characters, bar codes, display contents of display screens, two-dimensional codes, images and the like can be simultaneously identified, and the electronic display screens can display such contents as the characters, the bar codes, the two-dimensional codes, the images and the like, such that the information carrier has abundant information, and the identification results are accurate and reliable. Compared to bar code identification, two-dimensional code identification and image identification, character identification is smaller in characters and high in character segmentation and character identification difficulty. In order to ensure the accuracy of the character identification, the identification results are verified for the character identification by use of already known character lengths.
Owner:樊晓莉
Method for segmenting vasa sanguinea retinae image
ActiveCN106651846AImprove accuracyEffective segmentationImage enhancementImage analysisComputer visionSelf adaptive
The embodiment of the invention provides a method for segmenting a vasa sanguinea retinae image. The method mainly comprises the steps of carrying out double-scale matched filtering processing on the vasa sanguinea retinae image to obtain a fine scale matched filtering response image and a coarse scale matched filtering response image; segmenting out vessel support regions from the fine scale matched filtering response image, carrying out binarization processing on each vessel support region by use of a local self-adaptive thresholding method and segmenting out fine blood vessel sections; segmenting the coarse scale matched filtering response image by use of a fixed proportioning thresholding algorithm to obtain large blood vessel sections. Segmentation results of the fine blood vessel sections and large blood vessel sections are fused to obtain a complete vasa sanguinea retinae segmentation result, and the accurate rate of the segmentation result is high.
Owner:XIANGYA HOSPITAL CENT SOUTH UNIV
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