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

79 results about "Morphological operators" patented technology

Morphological operators are tools that affect the shape and boundaries of regions in the image. The typical morphological operation involves a gray-scale (8-bits) or binary image and a structure element.

Single-pass multilevel method for applying morphological operators in multiple dimensions

A system and method of adding hyperlinked information to a television broadcast. The broadcast material is analyzed and one or more regions within a frame are identified. Additional information can be associated with a region, and can be transmitted in encoded form, using timing information to identify the frame with which the information is associated. The system comprising a video source and an encoder that produces a transport stream in communication with the video source, an annotation source, a data packet stream generator that produces encoded annotation data packets in communication with the annotation source and the encoder, and a multiplexer system in communication with the encoder and the data packet stream generator. The encoder provides timestamp information to the data packet stream generator and the data packet stream generator synchronizes annotation data from the annotation source with a video signal from the video source in response to the timestamp information. The multiplexer generates a digital broadcast signal that includes an augmented transport stream from the transport stream and the encoded data packets. A receiver displays the annotation information associated with the video signal in response to a viewer request on a frame by frame basis. A viewer can respond interactively to the material, including performing commercial transactions, by using a backchannel that is provided for interactive communication.
Owner:MK SYST USA INC

Real-time medical video image denoising method

InactiveCN102014240AImprove robustnessOvercome the shortcomings of the edge being over-smoothedTelevision system detailsImage enhancementPattern recognitionTime domain
The invention provides a real-time medical video image denoising method, which is applied to medical video image sequences which are acquired in real time or stored and performs time-space domain recursive filtering treatment of each frame of video image by using the high degree of correlation of two adjacent images, wherein the size of a filter window can be adaptively adjusted according to a noise level. In the invention, a time-domain motion compensating method and a space-domain denoising enhancement algorithm are combined, a movement area, a noise area and a background area are detected by applying a motion compensating method and a morphological operator according to the current pixels of the images, and the overall noise levels of the images are estimated in the noise area.
Owner:SHENZHEN LANDWIND IND

Automatic design of morphological algorithms for machine vision

ActiveUS7428337B2Maximizing expected classifier performanceImprove performanceCharacter and pattern recognitionMachine visionAlgorithm
The present invention provides a technique for automated selection of a parameterized operator sequence to achieve a pattern classification task. A collection of labeled data patterns is input and statistical descriptions of the inputted labeled data patterns are then derived. Classifier performance for each of a plurality of candidate operator / parameter sequences is determined. The optimal classifier performance among the candidate classifier performances is then identified. Performance metric information, including, for example, the selected operator sequence / parameter combination, will be outputted. The operator sequences selected can be chosen from a default set of operators, or may be a user-defined set. The operator sequences may include any morphological operators, such as, erosion, dilation, closing, opening, close-open, and open-close.
Owner:SIEMENS CORP

Automatic design of morphological algorithms for machine vision

The present invention provides a technique for automated selection of a parameterized operator sequence to achieve a pattern classification task. A collection of labeled data patterns is input and statistical descriptions of the inputted labeled data patterns are then derived. Classifier performance for each of a plurality of candidate operator / parameter sequences is determined. The optimal classifier performance among the candidate classifier performances is then identified. Performance metric information, including, for example, the selected operator sequence / parameter combination, will be outputted. The operator sequences selected can be chosen from a default set of operators, or may be a user-defined set. The operator sequences may include any morphological operators, such as, erosion, dilation, closing, opening, close-open, and open-close.
Owner:SIEMENS CORP RES INC

Level set retinal vessel image segmentation method with shape prior being fused

The invention relates to a level set retinal vessel image segmentation method with shape prior being fused. The method comprises the following steps: 1) enhancing a retinal vessel image by utilizing a morphological operator and through Gaussian convolution; 2) roughly segmenting the retinal vessel image through anisotropic property of a Hessian matrix and an improved vessel response function, and serving the images as shape constrains and initial information; and 3) constructing a retinal vessel segmentation level set model comprising a local area energy fitting item, a shape constraint item, a level set function regularity maintenance item, a length punishment item and a weight area restraint item by utilizing shape prior and retinal image data. The segmentation method is high in segmentation result accuracy, can replace manual segmentation, and can play an important helping role in diagnosis and treatment of clinical related eye diseases, and has a higher clinical application value.
Owner:JIANGXI UNIV OF SCI & TECH

Liver cancer image automatic segmentation method based on random forest and fuzzy clustering

The invention discloses a liver cancer CT image automatic segmentation method based on random forest and fuzzy clustering. The liver cancer CT image automatic segmentation method based on random forest and fuzzy clustering mainly has two processes: an image preprocessing process and a focus region segmentation process, and includes the following steps: in the preprocessing stage, removing the noise of a CT image through curvature filtering and at the same time enabling the edge of the image to be maintained unfuzzy; in the tumour image segmentation stage, training the random forest by extracting the character sample, classifying the pixel points one by one of the image to be segmented to obtain a coarse segmentation result, and then obtaining the final tumour segmentation result through fuzzy clustering and a morphological operator. The liver cancer CT image automatic segmentation method based on random forest and fuzzy clustering does not need adjusting parameters, can segment the liver cancer CT images in different period, has the advantages of being automatic, being high in accuracy and being wide in application, and has a wide application prospect in pre-operation programming and accurate treatment of liver cancer.
Owner:NANJING UNIV OF SCI & TECH

Segmentation method and system for abdomen soft tissue nuclear magnetism image

The invention discloses a segmentation method and system for an abdomen soft tissue nuclear magnetism image. The segmentation method comprises the steps that pre-segmentation is conducted on an area to be segmented through an area growing algorithm, then a morphological operator is adopted to conduct expansion and corrosion operations to carry out further processing on the pre-segmentation result, so that the pre-segmentation result forms an original segmentation outline. After rectification is conducted between a shape template set and the original segmentation outline, kernel principal component analysis is conducted, and prior shape information is obtained through a statistics model. The prior shape information is combined with data items of an energy function of a nuclear magnetism image segmentation model, and an energy function is built; a kernel graph cuts algorithm is used for carrying out segmentation on the original segmentation outline and an objective outline is obtained. The segmentation method and system can achieve semi-automatic segmentation, the system is simple, the robustness of the nuclear magnetism image segmentation algorithm is effectively improved so as to enable the segmentation result to be more accurate, and the segmentation method and system for the abdomen soft tissue nuclear magnetism image can be applied to nuclear magnetism image segmentation.
Owner:SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI

Generating artistic designs encoded with robust, machine-readable data

Artwork carrying machine readable data is generated by editing artwork according to a data signal or transforming the data signal into artwork. The machine-readable data signal is generated from a digital payload and converted into an image tile. Artwork is edited according to the image tile by moving graphic elements, adapting intersections of lines, or altering line density, among other techniques. Artwork is generated from the data signal by skeletonizing it and applying morphological operators to a skeletal representation, such as a medial axis transform. Artistic effects are introduced by filtering the data signal with directional blurring or shape filters.
Owner:DIGIMARC CORP

Method and system for removing highlight of certificate image

The invention discloses a method and system for removing highlight of a certificate image. The method includes the steps that a skin region of the certificate image is located; RGB space of the certificate image is mapped to Lab space, where L represents the brightness of pixels and ranges from 0 to 100; a brightness value of each pixel in the skin region is compared with an assigned brightness threshold value, and if the brightness value of a certain pixel is larger than the assigned brightness threshold value, the pixel is selected; all the pixels with the brightness values larger than the assigned brightness threshold value are expanded and corroded through a morphological operator, so that a highlight region is obtained; the gradient of the highlight region is compressed, so that highlight is removed. The system comprises a skin region locating module, a space mapping module, a pixel selection module, a highlight region locating module and a highlight removal module. According to the method and system, the processing speed is high, the work of highlight removal can be finished with a short time, work efficiency of a user is improved, the work burden on the user is relieved, and the user is released from heavy manual labor.
Owner:广州商景网络科技有限公司 +1

Method and apparatus for airway detection and segmentation

Disclosed is a method and system for detecting a structure (e.g., an airway) within an image. The method and system generate a segmented image from the original (reconstructed) image. The method and system then iteratively apply three dimensional morphological operators of varying sizes to the image to obtain a resulting image. The method and system obtain a candidate mask, apply the candidate mask to the resulting image to generate a masked resulting image, and update the segmented image using the masked resulting image to detect the structure. In one embodiment, the segmented image is generated from region growing. Also disclosed is a method to determine different regions of interest within a given segmented image based on computed projections and boundary lines of the segmented image.
Owner:SIEMENS MEDICAL SOLUTIONS USA INC

Two-pass region growing and morphological reconstruction combination-based lung airway tree segmentation method

The invention aims to provide a two-pass three-dimensional region growing and morphology combination-based lung airway tree segmentation algorithm for solving the problem to realize effective segmentation of a lung airway tree. The two-pass region growing and morphological reconstruction combination-based lung airway tree segmentation method provided by the invention comprises the following steps of automatically obtaining a seed point P1 of three-dimensional region growing from a serial section image; performing first-pass region growing by taking P1 as the seed point to obtain a lung main airway tree; setting a multi-scale morphological operator, and obtaining corresponding airway marking graphs in three anatomic positions of a cross section, a coronal plane and a sagittal plane by utilizing gray-scale morphological reconstruction operation; performing second-pass region growing by taking the lung main airway tree as a basis and the airway marking graphs in the three anatomic positions as limitation conditions to obtain corresponding segmented airway trees; and fusing the segmented airway trees to obtain a final lung airway tree segmentation result F.
Owner:UNIV OF SHANGHAI FOR SCI & TECH +1

Medical image denoising and enhancing processing method

The invention provides a real-time medical video image denoising method, which is applied to a real-time acquired or stored medical video image sequence. Time-space domain recursive filtering processing is performed on each frame of video image by utilizing high-degree correlation of two adjacent images, and the size of a filter window can be adaptively adjusted according to the noise level. In the method, a time-domain motion compensation method - and a space-domain denoising enhancement algorithm are combined; aimed at the current pixel of the image, the motion compensation method and a morphological operator are applied to detect a motion area, a noise area and a background area, and the overall noise level of the image is estimated in the noise area.
Owner:深圳蓝影医学科技股份有限公司

Method, medium, and apparatus for eye detection

A method, medium, and apparatus for eye detection. The apparatus for eye detection may include an image pre-processing unit pre-processing an input face image to divide it into a left image and a right image, an eye candidate extraction unit applying a morphology operator to each of the left and right images and extracting data on first eye candidates for a left eye and data on first eye candidates for a right eye, an eye candidate verification unit verifying the data on the first eye candidates using a binary classifier and extracting data on second eye candidates for each of the left and right eyes, and a final verification unit verifying data on pairs of left and right eyes, which is generated from the data on the second eye candidates for the left and right eyes, using a binary classifier and extracting final eye data.
Owner:SAMSUNG ELECTRONICS CO LTD

Two dimensional autonomous isotropic detection technique

The present invention discloses a target detection process that acquires imagery from a target; compares the acquired imagery with image metric data; applies criteria to eliminate false detections and reduce clutter; applies morphological operators on the acquired imagery; probability rank orders the target imagery; divides the imagery into a series of detected target windows; and displays the detected target windows. The imagery undergoes light target detection, dark target detection or both. A morphological operator isolates targets rom their background. Two concatenated morphological filter patterns are used to screen imagery data. Spatial discontinuities at the pixel level can be detected. The detected target window images are presented to a user in a mosaic format.
Owner:LOCKHEED MARTIN CORP

Two dimension autonomous isotropic detection technique

The present invention discloses a target detection process that acquires imagery from a target; compares the acquired imagery with image metric data; applies criteria to eliminate false detections and reduce clutter; applies morphological operators on the acquired imagery; probability rank orders the target imagery; divides the imagery into a series of detected target windows; and displays the detected target windows. The imagery undergoes light target detection, dark target detection or both. A morphological operator isolates targets from their background. Two concatenated morphological filter patterns are used to screen imagery data. Spatial discontinuities at the pixel level can be detected. The detected target window images are presented to a user in a mosaic format.
Owner:LOCKHEED MARTIN CORP

Hyperspectral remote sensing image end member extraction method on basis of revised extended morphological operator

The invention provides a hyperspectral remote sensing image end member extraction method on the basis of a revised extended morphological operator, which is characterized in that an original image is filtered by the opening-and-closing operation and the closing-and-opening operation which are defined by the revised extended morphological operator so as to fulfill the aim of combining spectral information with space information to carry out end member extraction. The method mainly aims to solve the problem of limitation in the extended morphological operator; the revise is carried out by leading in a reference vector; for the provided revised extended morphological operator, the alternately replacing phenomenon is eliminated; the correct replacing direction is ensured; and a separating effect of pure pixels and mixed pixels is reinforced. An experimental result shows that the condition that the method provided by the invention can optimize the end element extraction effect is proved onthe aspects of the spectral curve similarity and a corresponding ground feature distribution map and the like; and the method has a moderate calculated amount and lays a foundation for application ofsubsequent analysis and classification of hyperspectral remote sensing image mixed end members and the like.
Owner:EOPLLY NEW ENERGY TECH +1

Method for star point extracting of navigational star in cloud environment in daytime

The present invention provides a method for star point extracting of a navigational star in cloud environment in daytime, and the method comprises firstly, respectively performing the following operation on each frame of star map of a plurality of frames of daytime cloud star maps which are consecutively taken: (1) using an improved morphological TopHat operator to filter an original start map to obtain a first star map; (2) using a RobinsonGuard filter to filter the first star map to obtain a second star map; (3) using an adaptive threshold method for threshold cutting of the second star map, and storing coordinates and grayscales of all pixels higher than a threshold; and (4) using a clustering method for four-connected domain star point extracting; secondly using a multiframe comparison technique to eliminate pseudo-star points in the connected domain extracted from each frame of star map; and thirdly, calculating the centre of mass of each successfully-compared connected domain to complete the star point extraction. The method can effectively eliminate the interference of daytime sky clouds and other backgrounds, meanwhile avoids mistaken extraction caused by dust and other air floating objects, and ensures the effective and stable star point extraction.
Owner:BEIJING INST OF CONTROL ENG

Model-based assist feature placement using inverse imaging approach

Some embodiments provide techniques and systems to identify locations in a target mask layout for placing assist features. During operation, an embodiment can determine a spatial sampling frequency to sample the target mask layout, wherein sampling the target mask layout at the spatial sampling frequency prevents spatial aliasing in a gradient of a cost function which is used for computing an inverse mask field. Next, the system can generate a grayscale image by sampling the target mask layout at the spatial sampling frequency. The system can then compute the inverse mask field by iteratively modifying the grayscale image. The system can use the gradient of the cost function to guide the iterative modification process. Next, the system can filter the inverse mask field using a morphological operator, and use the filtered inverse mask field to identify assist feature locations in the target mask layout.
Owner:SYNOPSYS INC

Random weight network partitioning method for blood leukocyte microscopic image

The invention discloses a random weight network partitioning method for a blood leukocyte microscopic image. The automatic partitioning technology is composed of four sub-processes of category coding and training library establishment, random weight network training, decoding partitioning and morphological operator repair, blood leukocyte partitioning is converted into classification, the leukocyte microscopic image is automatically partitioned in a classified mode, and integral and communicated cytoplasm and cell nucleus zones are acquired. The method has the advantages that the effective categories of pixel points of the blood leukocyte image are coded, a stable blood leukocyte classification training library is established, an optimal coding decision making model is acquired through a quick and efficient random weight network, an optimal code of the leukocyte image to be partitioned is acquired, and a final partitioning result is acquired. By the adoption of the method, the leukocyte microscopic image is efficiently partitioned.
Owner:MACCURA MEDICAL INSTR CO LTD +1

Novel noise extraction method based on mathematical morphology

The invention discloses a novel noise extraction method based on mathematical morphology. A root mean square error value is utilized to analyze filtering effects achieved after structural elements of different types and scales are used for performing morphological filtering; the corresponding structural element enabling the root mean square error value between a filtered signal to be output and an input noise-containing signal to reach a maximum value is regarded as the optimal structural element for noise extraction; a morphological operator is constructed based on the optimal structural element, and the optimal structural element is used in the operator to perform noise extraction on the noise-containing signal obtained through collection. According to the method, the optimal structural element is found based on the change law of the root mean square error value between the filtered output signal and the input signal obtained by using different structural elements, and meanwhile the morphological operator used for noise extraction is constructed; the method is simple, complicated iterative computation is not needed, random noise can be accurately extracted out of a sampled signal, and support is provided for noise analytical processing in electrical signal collection.
Owner:STATE GRID LIAONING ELECTRIC POWER CO LTD SHENYANG POWER +2

Method for constructing morphological operators by using adaptive quasi-circular structural elements on basis of nonlinear structure tensor

The invention relates to a method for constructing morphological operators by using adaptive quasi-circular structural elements on the basis of a nonlinear structure tensor. For overcoming the shortcoming that by a linear structure tensor, inaccurate and even mistaken gradient information is easily estimated, the nonlinear structure tensor replaces the linear structure tensor at first, a feature value and a feature vector of the nonlinear structure tensor are calculated, then two measurement parameters including edge strength measurement and angular point strength measurement are defined, image features such as an edge region, a smooth region and corner are distinguished clearly, so that long semi-axes, short semi-axes and directions of adaptive oval structure elements are defined, in order to enable the obtained adaptive structure elements to be close to prefect oval shapes, the oval structural elements and original images are subjected to interpolation processing, and finally morphological operators such as adaptive corrosion, expansion, opening operation, closing operation and hit or miss transformation are redefined by the proposed adaptive quasi-circular structural elements. Confirmatory experiment results show that compared with other methods, the method has good effects in the aspects of structure adapting, angular point protection, filtering, target extracting and the like.
Owner:TIANJIN POLYTECHNIC UNIV

Unsteady-state signal detection method based on improved self-adaptive morphological filtering

Disclosed is an unsteady-state signal detection method based on improved self-adaptive morphological filtering. The method is used for feature extraction of fault signals of various kinds of rotating mechanical equipment, and includes drawing a time domain chart of original signals, searching and marking all local maximums of the signals from the original signals, and calculating a contour area defined by the local maximums and a time axis in the time domain chart to serve as a reference area; performing morphological filtering on the original signals through structure elements with different lengths and a close-open morphological operator, calculating a contour area defined by obtained local extremums of the signals and the time axis after the morphological filtering of the different structure elements, and calculating a difference between the area and the reference area to determine the length of the structure element corresponding to the a minimum difference; and using the obtained structure element for the morphological filtering of the signals, and determining faults according to frequency spectrums of the signals after analysis processing. The unsteady-state signal detection method based on the improved self-adaptive morphological filtering improves efficiency and accuracy of fault determination of rotating equipment.
Owner:UNIV OF SCI & TECH OF CHINA

Model-based assist feature placement using inverse imaging approach

Some embodiments provide techniques and systems to identify locations in a target mask layout for placing assist features. During operation, an embodiment can determine a spatial sampling frequency to sample the target mask layout, wherein sampling the target mask layout at the spatial sampling frequency prevents spatial aliasing in a gradient of a cost function which is used for computing an inverse mask field. Next, the system can generate a grayscale image by sampling the target mask layout at the spatial sampling frequency. The system can then compute the inverse mask field by iteratively modifying the grayscale image. The system can use the gradient of the cost function to guide the iterative modification process. Next, the system can filter the inverse mask field using a morphological operator, and use the filtered inverse mask field to identify assist feature locations in the target mask layout.
Owner:SYNOPSYS INC

Random walk tongue image extraction method based on multi-rule fusion

A random walk tongue image extraction method based on multi-rule fusion comprises the following steps that initial segmentation is performed on an original image by utilizing a toboggan algorithm with a reduced rule, so an initial range set is acquired; a composite weighting function is utilized for establishing a weighted graph, and simplification is performed; final cluster segmentation is performed by utilizing a random walk tongue image extraction method based on multi-rule fusion, so a tongue body area image is generated; finally, a target area is trimmed through mathematical morphology operators, so pinholes in the tongue image area are eliminated, and a target tongue image is obtained. The random walk tongue image extraction method is high in intelligent degree, the whole extraction process is completed in a full-automatic mode, the efficiency of the random walk algorithm is greatly improved, the time required by tongue image extraction is shortened, and a tongue image can be successfully and accurately extracted from the image containing a tongue coating.
Owner:JIANGXI UNIVERSITY OF TRADITIONAL CHINESE MEDICINE

Method and device for abdomen soft tissue nuclear magnetism image segmentation

ActiveCN103473768AEasy to implementSimple Automatic SegmentationImage analysisImage segmentation algorithmBand shape
The invention discloses a method and device for abdomen soft tissue nuclear magnetism image segmentation. The method comprises the steps that an original outline is initialed near an objective outline; a morphological operator is used for carrying out expansion and corrosion operations on the original outline, and a band-shaped closed area is formed in and outside the objective outline to be segmented; KPCA training is conducted on a collected shape template and prior shape information is obtained through a statistics model; the prior shape information is combined with data items of an energy function of a nuclear magnetism image segmentation model, and an energy function is constructed; a kernel Graph cuts algorithm is used for carry out segmentation on the band-shaped closed area and an objective outline is obtained. The method and device for abdomen soft tissue nuclear magnetism image segmentation can achieve semi-automatic segmentation, the device is simple, the robustness of the nuclear magnetism image segmentation algorithm is effectively improved so as to enable the segmentation result to be more accurate, and the method and device for abdomen soft tissue nuclear magnetism image segmentation can be applied to most nuclear magnetism image segmentation.
Owner:SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI

Transient-oscillation-parameter identification method based on morphological filtering and blind source separation

The invention discloses a transient-oscillation-parameter identification method based on morphological filtering and blind source separation. The method includes the steps of: 1) generating a transient-oscillation power quality disturbance signal y<o>, and adding noise; 2) using a morphological operator and a median filter to filter the signal; 3) adding a normal signal of the same length, the same sampling frequency and the same phase as the disturbance signal to form an input matrix X; 4) carrying out blind source separation on the input matrix to obtain a disturbance component y<1>; 5) using Fourier transform on the disturbance component to identify oscillation frequency f<o>; and 6) for the disturbance component, using a curve y=ae<bt> to fit extreme values of each cycle of an oscillation interval, and obtaining an attenuation coefficient [sigma]<o> by solving. The method has the advantages of an accurate recognition result, good robustness and the like, and can accurately identifytransient-oscillation parameters in various cases.
Owner:SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products