642 results about "Structuring element" patented technology

A Continuous Query Processor processes queries on continuously updating data sources or data streams and includes a Publication Manager for accepting published structured elements of data from data stream Publishers, a Subscription Manager for giving structured elements of data to one or more data stream Subscribers, a Query Module Manager for processing queries represented by Query Modules, a Query Module Store for maintaining deployed Query Modules, a Query Primitive Manager performing processing for various primitives that comprise a Query Module, and a Schedule Manager for coordinating when a primitive within a Query Module gets processed in order to maintain that each continuous query is continuously updated immediately upon the arrival of structured element data affecting any part of a continuous query.

A three-dimensional printer, system and method is provided for individually creating three-dimensional structural elements (individually termed fundamental structures) which are sequentially positioned into formation of a shaped object.

A method and apparatus for identifying visual content foregrounds, the method comprises steps of: determining a 3-D opening-by-reconstruction modest structure element (B_O) and a 3-D closing-by-reconstruction modest structure element (B_C); comparing an original image with an image obtained by performing MSOR operation to the original image with B_O and an image obtained by performing MSCR operation to the original image with B_C so as to generate an enhanced top-hat image and an enhanced bottom-hat image; and locating an overlap region between the enhanced top-hat image and the enhanced bottom-hat image. The overlap region forms a foreground identifying screen which is capable of identifying and extracting—refined for obtaining delicate foregrounds.

The invention relates to a detection method for vehicle license plate real-time positioning character segmentation in the technical field of video monitoring, which comprises the following steps of: obtaining a video frame from image acquisition equipment; carrying out image preprocessing; increasing a signal-to-noise ratio; carrying out grey scale transformation; computing a threshold value by adopting an Otsu binarization method and converting a vehicle image into a binary image; firstly carrying out closed operation by using a structural element with the size of length pixels, separating a communicated region at a fine position and smoothing burrs appearing on the edge of the region; carrying out contour detection; and carrying out license plate region accurate positioning: accurately segmenting out each character. The invention has lower requirements for image color, a large amount of system memory resources of a computer can not occupied, the operational speed is quickened after an input image is converted into a grey-scale image, the accurate position of each character can be rapidly found, and each character is segmented out by applying an image shearing method.

A lightweight periodic cellular structure has a stacked array of hollow or solid structural elements that are bonded at their contact points in order to form a stacked lattice structure. Further arrays may be stacked onto the stacked lattice structure in order to form a periodic cellular structure of varying thickness and depth. Also, structural panels may be added to parallel exterior edges of the stacked lattice structure to form a structural panel. Further, the hollow structural elements are provided with wicking elements along their interior walls to facilitate heat transfer through the periodic cellular structure. Liquid may also be introduced into the hollow structural elements to further facilitate heat transfer through the periodic cellular structure. Also, the cellular structure may be utilized as light weight current collectors, such as electrodes, anodes, and cathodes. The related method of manufacturing the periodic cellular structure can accommodate a variety of cross-sectional shapes, introduce a variety of stacking offset angles to vary the lattice shape and resultant mechanical characteristics of the periodic cellular structure; and allow for the bending of the array of hollow or solid structural elements into an array of hollow pyramidal truss elements that can be used to form a stacked pyramidal.

The invention provides an image edge detection method based on threshold segmentation. The method is a novel threshold segmentation algorithm capable of thresholding all points of the image one by one and then sorting. The statistical information of average gray-scale value of the pixel neighborhood region in the image is used as the reference of threshold setting of the point, and the variance of gray-scale value of pixel in the neighborhood region of the point is used as additional judgment condition, so that the overall binarization of the region information is considered comprehensively to ensure the image edge to be extracted as target point. Additionally, the size of structural element for calculating the average value and variance can be adjusted to select the structural elements with different sizes according to different demands. The method can define each pixel with a threshold value, and the overall binarization of region information is comprehensively considered. The invention has good effect of image segmentation and high accuracy of edge positioning.

The invention relates to methods for the stabilisation of cytokines and to cytokines generated by such methods. The methods of the invention involve mutating the amino acid sequence of a cytokine so as to remove solvent-exposed hydrophobic residues, and/or mutating the amino acid sequence of the cytokine so as to stabilise one or more secondary structure elements in the molecule. These steps have the effect of destabilsing intermediates that are formed during the folding process, relative to the stability of the cytokine in its naturally folded state, so increasing the yield of the cytokine as produced in vitro.

The present invention relates to a method for producing a structure serving as an etching mask on the surface of a substrate. In this case, a first method involves forming a first partial structure on the surface of the substrate, which has structure elements that are arranged regularly and are spaced apart essentially identically. A second method involves forming spacers on the surface of the substrate, which adjoin sidewalls of the structure elements of the first partial structure, cutouts being provided between the spacers. A third method step involves introducing filling material into the cutouts between the spacers, a surface of the spacers being uncovered. A fourth method step involves removing the spacers in order to form a second partial structure having the filling material and having structure elements that are arranged regularly and are spaced apart essentially identically. The structure to be produced is composed of the first partial structure and the second partial structure.

Device for manipulation of limited quantities of liquids with the following features: the device has at least one solid; the solid has surface areas in which different capillary forces act; one or more first surface areas have a microstructured and/or nanostructured surface; the microstructured and/or nanostructured surfaces have regularly arranged structure elements (A to E); the solid and the structure elements consist of one material and are connected to one another in one piece; one or more first surface areas are provided with reagents; the second surface area encompasses at least one of the first surface areas.

The present invention relates to a system for automatically evaluating oxygen saturation of the optic nerve and retina, said system comprising: image capturing system further comprising: a fundus camera (26), a four wavelengths beam splitter (27), a digital image capturing device (28), a computer system, image processing software performing in real-time the steps of: registering set of multi-spectral images (1) by, binarizing the multi-spectral image (7), find the all the border regions of each image by finding the region including the straight line that passes the most number of points in the region (8), use the orientation of the borders to evaluate the orientation of each spectral image (9), equalize the orientation of each spectral image by rotating the spectral image (10), edge detect each spectral image (11), estimate the translation between the spectral images based on the edges of adjacent images (12), transform the images to a stack of registered images (13), locating blood vessels (2) in each of the multi-spectral images by, retrieving registered spectral images (14), for each spectral image, remove defective pixels (15), enhance image contrast (16), perform top-hat transform using structuring element larger than the largest vessel diameter (17), binarize each image (18), apply filter for smoothing the image (19), combine all the spectral images using binary AND operator (20), skeletonize the resulting image (21), prune the skeleton image (22), re-grow the pruned image (23), locate junction points (24), evaluating the width of the blood vessels (3) by calculating the normal vector to the vessel direction to, estimate the direction and position of the vessel profile, evaluate positions of vessel walls based on the vessel profile obtained, evaluate vessel width based on the position of the vessel walls, selecting samples for calculating optical density, calculating the optical density ratio (4), evaluating oxygen saturation level (5), and presenting the results (6), wherein presenting the results may include presenting numerical and visual representation of the oxygen saturation.

A system for displaying a simulated room can comprise at least one projector, at least one wall structure element, at least one physical object, and a room customization station. The room customization station can be configured to permit viewing images of selectable products and selecting at least one of the selectable products to be displayed on at least one of the at least one wall structure element or the at least one physical object. The projector(s) can be adapted to display the selectable product(s) on at least one of the at least one wall structure element or the physical object(s). The physical object can be adjustable in size to correspond to different sizes of selectable products. The system can further include at least one physical accessory adapted to be placed in the simulated room to facilitate visualization of how the at least one physical accessory would appear in the presence of the simulated room and the at least one selectable product. In some embodiments, the room customization station can be configured to prevent at least one portion of the images of the selectable products from being projected by the projector(s) onto a physical feature in the simulated room and allow other portions of the images of the selectable products to be projected into at least a portion of the simulated room located around the physical feature.

The invention concerns a process of manufacturing optical components. A replication tool, a sub-master or a replica is manufactured using a structured element (for example a master) and a substrate. A structure of the structured element is replicated into liquid or plastically deformable material disposed at a first place on said substrate, then hardened to make it dimensionally stable, whereon the structured element is removed. These replicating, hardening and removing steps are repeated for a second, third, etc. place on said substrate the same structured element.

The invention relates to a method for detecting and tracking a small and weak target of an infrared sequence image under complex sky background, which comprises the following steps of: (1) adopting a self-adaptive background eliminating algorithm which combines with the small and weak target characteristic of an image and Top-hat conversion for conducting self-adaptive background elimination and inhibiting the influence of complex background and part of noise on the small and weak target detection; (2) using an iterative threshold algorithm which is suitable for a dim-background image for dividing the possible target area in the dim-background image after background elimination; (3) constructing a dilation accumulation algorithm according to the motion law of the target in a plurality of continuous frames, and distinguishing possible false-alarm target areas; (4) using CB algorithm and logic and operation based on contour structure elements for inhibiting the false-alarm targets; (5) taking the areas in which the false-alarm targets are inhibited as possible target area which is then compared with the track prediction result in the step (7) so as to realize the updating of track; (6) conducting track judgment; and (7) conducting track prediction.

The invention provides a micro seismic event recognition method based on morphological filtering. The method comprises the steps of conducting spectral analysis on micro seismic data; rectifying a demodulator used for receiving micro seismic signals; selecting structural elements, combining opening operation and closing operation to form a morphological noise filter, and conducting the morphological filtering on the micro seismic data going through spectral analysis; calculating the energy ratio of a long-time window and a short-time window according to the data going through the morphological filtering, and comparing the energy ratio and triggering threshold to identify whether the demodulator has micro seismic events; and conducting microseism pickup according to the micro seismic events. According to the method, the signal to noise ratio of the data can be improved through preprocessing and further filtering treatment; the micro seismic events can be detected quickly and accurately by utilization of the energy ratio method, the fluctuation type of the micro seismic events can be identified through polarization analysis, and first arrival can be picked up accurately by utilization of self-adaptation threshold and the long-time and short-time window energy ratio method.

The invention discloses a traditional Chinese medicinal material microscopic image noise filtering system and method adopting a pulse coupling neural network. A pulse coupling neural network model suitable for processing tissue image information is adopted for detecting traditional Chinese medicinal material microscopic images. When small-density pulse noise pollution happens to the traditional Chinese medicinal material microscopic images, adaptive weighted filtering processing is carried out; when large-density pulse noise pollution happens to the traditional Chinese medicinal material microscopic images, the introduction dual-structure element mathematical morphology with edge detailed information kept is adopted for secondary filtering. Earlier foundations are laid for further improving quality testing, recognition and identification of traditional Chinese medicinal materials; higher noisy point detection performance is achieved, the noise fallout ratio and omission ratio are low, and the noise detection precision is high; detection time is short, and automatism is high; noise is removed, meanwhile, noise interference can be effectively filtered out, and image edge details and other information can be protected well.

A liver region extraction unit and a structural element extraction unit extracts the liver region and structural elements, such as the hepatic artery and the hepatic vein, from a three-dimensional image, and a surface data generation unit generates surface data of the liver region and surface data of the structural elements. A pattern adding unit adds a textured pattern to at least one of the surfaces of the liver region and the structural elements, and a data generation unit generate three-dimensional model data by combining the surface data of the liver region and the surface data of the structural elements after the addition of the textured pattern. A three-dimensional model making device makes a three-dimensional model of the liver based on the three-dimensional model data.

The purpose of the invention is a structure element, particularly an lower wing element of an aircraft, manufactured from a rolled, extruded or forged product made of an alloy with composition (% by weight): Cu=4.6-5.3, Mg=0.10-0.50, Mn=0.15-0.45, Si <0.10, Fe<0.15, Zn<0.20, Cr<0.10, other elements <0.05 each and <0.15 total, the remainder being Al treated by solution heat treating, quenching, controlled tension to more than 1.5% permanent deformation and aging.

The present invention discloses a morphological filtering-based electrical imaging reservoir fracture and cave body quantitative characterization method and system. The method includes the following steps that: 1) noise suppression and blank band encryption interpolation are performed on original electric imaging logging data to obtain full-coverage rate electrical imaging logging data; 2) structural elements of appropriate shapes and scales are selected, and morphological filtering is performed on the obtained electrical imaging logging data in the step 1), so that fracture and cave pore distribution of different scales can be determined; and 3) the proportion of the porosity of fractures and the proportion of the porosity of corroded caves are calculated according to the fracture and cave pore distribution of different scales, so that a fracture and cave porosity spectrum which can indicate pore throat size and porosity distribution relationships can be obtained. According to the method of the invention, a mathematical morphological filtering method is introduced into imaging logging data processing; based on the filtering and anomaly recognition technologies of conductivity signals of different scales, the signal-to-noise ratio and identifiability of fracture and cave abnormal signals are improved; and exact information such as intuitive fracture and cave shapes and scale distribution can be provided for the processing and interpretation of electrical imaging logging data.