126 results about "Shape index" patented technology

A stage-implemented QoS shaping scheme is provided for a data communication switch. The stage-implemented QoS shaping scheme may be implemented by augmenting an existing packet forwarding logic. Inbound packets or other input signals enter the switch with inbound QoS or priority information. The inbound QoS information and packet header data are used by the switch to determine internal and outbound QoS information in stages. The first stage receives a key including addressing and other information and determines a QoS shaping index. In the second stage, the QoS shaping index is used to select QoS shaping maps, and the inbound QoS information is mapped to the QoS shaping maps to select internal and outbound QoS information.

The invention discloses a method and device for positioning face key points in an image. The method includes the following steps that: face detection is performed on a target image to be detected, so that a face region range can be determined; a first prediction model is utilized to determine the initial positions of face key points in the face region range; and a second prediction model is utilized to carry out a plurality of times of iterative operation based on the pixel values of pixels in the face region range and the initial positions of the face key points, and the positions of the face key points are updated step by step, and when the iterative operation terminates, the final positions of the face key points in a face region frame are determined, when the iterative operation is carried out for the first time, the second prediction model adopts shape index features extracted at the initial positions as input. With the method and device provided by the implementations of the invention adopted, the face key points can be positioned more accurately.

A tire noise reducing system comprises a pneumatic tire, a wheel rim and a noise damper disposed in a cavity formed between the rim and tire when mounted as being surrounded by the tire and rim, the noise damper is made of a porous material having a specific gravity of from 0.005 to 0.06 and secured on a surface facing the cavity, the volume S2 of the noise damper is in a range of from 0.4 to 20.0% of the volume S1 of the cavity. Preferably, the noise damper is provided with an uneven surface or an outer layer for less sound reflection, and the shape index E of the noise damper is more than 1, and the ratio T/W of the thickness T to the width W of the damper is not less than 1.

In one aspect of the present invention, a method for calculating a response value at a first voxel indicative of a global shape in an image is provided. The method includes the steps of (a) determining at least one local shape descriptor associated with each of the at least one local shape descriptor; (b) determining a spread function associated with the each of the at least one local shape descriptor; (c) determining second voxels around the first voxel; (d) calculating values for each the at least one local shape descriptor at each of the second voxels; (e) determining a contribution of each of the second voxels at the first voxel based on the spread functions; and (f) using a combination function to combine the contributions to determine the response value indicative of the global shape.

The invention relates to a method for automatically extracting a road centerline of a remote-sensing image. The method includes the steps that the image is divided, road areas which are similar in spectral signature and surface features with a obvious contrast ratio with the surrounding are divided into different areas; through utilization of shape index analysis, the road areas in the divided blocks are identified; road center line basic elements are detected through an orthotropic ranking method; finally the discontinuous road center line basic elements are organized into groups to form a road network in an iterative collinear chain mode. The method has the advantages of being easy to achieve, simple in operation and high in accuracy rate. The method can be used for extracting the road vector centerline of the remote-sensing image conveniently and fast.

The invention discloses an identification method of a salt-tolerant resource in the seedling period of cowpea, which is easy to operate and reliable in identification result. The identification method comprises the steps of carrying out germination experiment by adopting one cowpea variety to screen the optimal ultrasonic treatment method and determine the germination conditions; carrying out salt treatment experiment on three varieties by adopting salt solutions of multiple gradients to determine the optimal treatment condition; carrying out salt-tolerant experiment on 18 cowpea varieties of different genes, and carrying out principal component analysis to determine the optimal regression model. The identification method is used for identifying the salt-tolerant capability of the cowpea with 15d, and is short in identification time; the optimal salt-tolerant indexes of the cowpea are plant height, root length, plant dry weight and root dry weight, the identification method with simple operation and definite index is established, the shape indexes are visualized and convenient to count, and the standard identification method is provided for large-scale rapid identification of salt tolerance in the seedling period of the germplasm resource of the cowpea as well as the salt-tolerant variety selection and salt-tolerant mechanism.

A segmentation method comprises clustering spatial, intensity and volumetric shape index to automatically segment a medical lesion. The algorithm has the following steps: (1) calculating volumetric shape index (SI) for each voxel in the image; (2) combining the SI features with the intensity range and the spatial position (x, y, z) to form a 5-dimensional feature vector set; (3) grouping the 5-dimensional feature vector set into clusters; (4) employing a modified expectation-maximization algorithm (EM) considering not only spatial but also shape features on an intensity mode map from the clustering algorithm to merge the neighbouring regions or modes. The joint spatial-intensity-shape feature provides rich information for the segmentation of the anatomic structures of interest, such as lesions or tumours.

The invention relates to a catalyst for preparing propylene through C4 olefin cracking, and a preparation method thereof. The problems of low stability and low propylene selectivity of present catalysts for preparing propylene through present C4 olefin cracking are mainly solved. The catalyst comprises 20-90% of ZSM-5 molecular sieve with the shape index of 3-100 (the shape index is defined as a length ratio of a longest edge to a shortest edge of a molecular sieve crystal in a three dimensional direction), 0.05-3% of a transition metal oxide and 18-69% of a binder. The catalyst provided by the invention well solves the problems, and can be used in the industrial production for preparing propylene through C4 olefin cracking.

The present application provides a method and an apparatus for segmenting a three-dimensional medical image. The method comprises: acquiring an original three-dimensional medical image of a lesion site; from the original three-dimensional medical image, selecting a region of interest so as to construct a mesh model of the region of interest; calculating distance field information and a shape index feature of the mesh model; segmenting the mesh model according to the distance field information; calculating a mixture cost value of each point in a segmented mesh model according to the distance field information, the shape index feature and a gray cost statistical value of each point; determining a segmentation path according to the mixture cost value of each point; and segmenting target tissue from the region of interest according to the segmentation path. With adoption of the method for segmenting a three-dimensional medical image provided by the present disclosure, diseased tissue in the original three-dimensional medical image can be accurately positioned and segmented, thereby improving the accuracy of three-dimensional medical image segmentation.

The invention relates to a tree form simulation method based on a self-adaptive fractal algorithm. The method comprises the following steps of obtaining a tree form image tImage; establishing a tree form model tModel; calculating the length of first-stage branch Ln; building an IFS (iterated function system) fractal matrix Wn; realizing the three-dimensional tree fractal. As the tree form feedback mechanism of IFS fractal is established, the tree form model covers the frequently used tree growth models including a tree height growth model, a crown diameter growth model, a crown height growth model and a crown length rate model in forestry industry, and meanwhile, a crown shape index change model is added. By adopting the models, the parameters of the IFS fractal matrix can be controlled, so the fractal growth is completely applicable to the model curve representing the actual tree growth. The following figure comparison refers to the tree height growth simulation and the crown diameter growth simulation before and after improved simulation by the IFS fractal method. The growth of each stage of branch, growth of crown length rate, change of crown shape indexes, and the like also have similar difference.

A low cost user interface display system, like on screen display (OSD), using texture mapping method is presented. The present invention only uses a little texture memory and can generate very fancy user interface display. With the method of texture mapping, even the low cost system can have a colorful, fancy user interface display. A user interface display apparatus using texture-mapping method, comprising a image module, texture patterns, display code-buffer, texture mixer and outline shape index generator to texture-maps the predefined image module in the mixing area with the texture patterns. For some existing OSD devices, the texture-mapping method also can provide a low cost approach to fancy the original OSD display output in the display device. Moreover, changing the texture pattern is very easy to system manufacture, and it can make the user interface looks good and different.

The present invention relates to a method of detecting the size of poultry eggs and egg shape index. The method comprise steps of collecting the image of an poultry egg, filtering the collected image; detecting the marginal points of the poultry egg in the image by using R component as a variable function and utilizing the dichotomy in the RGB color space of the filtered image; calculating the centroid of the poultry egg by utilizing the obtained marginal points information; using the centroid as the basic point to search the longitudinal diameter and the maximum transverse diameter of the poultry egg. The technical scheme of the present invention has the characteristics that (1) the image does not need binarization; (2) marginal detecting adopts dichotomy and the detecting speed is high; (3) a simplified centroid calculating method is adopted and the efficiency is high; (4) the detecting accuracy is high.

In the past, when a shape was corrected by adjusting parameters of a shape calculating equation proper for a measuring method used in measuring a two-dimensional or three-dimensional shape by correlating the parameters and a shape index value, the degree of freedom of modifying a shape by correction depended on a model equation used in the calculation of the shape, and therefore such a shape correction method was unsuitable for objects of correction having a number of shape variations. According to the present invention, the three-dimensional shape is corrected by fitting a curvature equation to a three-dimensional shape of a semiconductor pattern measured by any three-dimensional shape measuring method and by adjusting parameters of the curvature equation based on a shape index value separately calculated. The relations between the shape index value and the parameters are stored in a data base, and at the time of measurement the measured shapes are corrected based on the relations mentioned above.

The invention discloses a deep-layer infiltration method for apple orchards at dry highland areas through rainwater collected by tree disks. The deep-layer infiltration method comprises the following steps of selecting orchards; making deep-layer infiltration buckets for the collected by rainwater; trimming tree disks; burying the rainwater collection deep-layer infiltration buckets; and covering black mulching films. The deep-layer infiltration method disclosed by the invention has the beneficial effects that in the deep-layer infiltration method for the apple orchards at the dry highland areas through the rainwater collected by the tree disks, the black mulching films are covered, so that the water content of soil is effectively increased, the spring temperature and the summer temperature of the soil are effectively increased, and the microenvironment of the soil is effectively improved; the infiltration buckets of 40cm are buried, so that the water content of the soil below root layers is increased, the physical properties of the soil are changed, the growing environment of root systems is improved, water consumed for the growth of fruit trees in winter and spring drought seasons are compensated, drought stress on apple trees is small, the yield of a single plant is increased, the quality of 100 leaves of the apple trees is increased, the ratio of new shoots to short shoots is increased, the shape index of the fruit trees is increased, and the appearance of on-year and off-year of the apple trees is effectively prevented; and besides, water in rainy seasons can be effectively accumulated into deep layers, the trans-seasonal utilization of precipitation is realized, and the collected rainwater can also be used as a water soluble fertilizer for irrigation use.

The invention discloses a real-time face key point positioning method based on an Android platform, and belongs to the field of computer vision technology. The method disclosed by the invention comprises the following steps: collecting a face training image set, and calibrating key points; randomly selecting n samples in the training set to serve as an initial shape of each training shape; calculating a standard target of each training shape; extracting a shape index feature of each key point; using a correlation analysis method to select proper features; using a two-layer enhanced regression structure (an external layer and an internal layer); calculating the regression device of each stage; and using a face detection method to estimate a face window, and predicating a face key point position according to a trained regression model. The existing methods are higher in computational complexity and excessively slow in operation on a mobile platform; and moreover, the existing methods are sensitive to noise and are lower in positioning precision. According to the real-time face key point positioning method disclosed by the invention, the shape is constrained by linear combination of samples, and the method based on regression is used for improving the face key point positioning precision and efficiency.

The invention discloses a high-efficiency corn ear seed test method and a device based on an image. The method comprises the following steps that an image of N corn ears placed in parallel is obtained and processed by an image processing algorithm; the shape indexes and average line number of the N corn ears are calculated; the N corn ears are threshed; cobs and grains are obtained; the cobs are weighed one by one, and the grain weight of each corn ear is calculated; a few grains are taken from any pile as samples; the average grain weight and hundred-grain weight are calculated by image processing and weighing; the average grain weight of the samples serves as the average grain weight of each corn ear; and the total grain number and the grain line number of each corn ears are calculated according to the grain weight of each corn ear. Multiple corn ears are subjected to seed test simultaneously by a digital image processing and sensor technology, and the efficiency of the corn seed test is improved greatly.

The invention relates to an asynchronous roller alternating control method for band steel hot rolling downstream rack working rollers. After a rolled piece is rolled, upper and lower working rollers horizontally move at the same distance in an opposite direction, then a next rolled piece is rolled, and the upper and lower working rollers periodically alternate to and fro between forward and reverse maximum roller alternating stroke positions in a band steel rolling production process, so that phasic positive and negative deviation is respectively performed on previous three downstream racks onthe basis of the same roller alternating function, and asynchronous roller alternation is formed on the three racks. According to the roller alternating control method, on one hand, the control ability on wedge and deviation is increased through asynchronous phasic adjustment, and on the other hand, the bad influence caused by multi-rack roller alternating zero-position superposition in the wholeroller alternating cycle can be avoided, so that the control stability of all strip-shape indices is increased, and the rolling kilometer is extended.

The invention discloses a conicity measuring device of a crystallizer with a circular copper tube, which comprises an object to be detected that is supported by four fixed supporting points and an elastic supporting point in an inner chamber of the circular copper tube as well as a displacement sensor that is arranged on the object to be detected and at one side of an elastic supporting rod; when the object to be detected moves inside the circular copper tube, the four fixed supporting points are contacted with the surface of the inner chamber of the circular copper tube all the time, thus ensuring a measuring axial line to be positioned on a normal line of inner and outer arcs all the time. The conicity measuring device can conveniently, reliably and precisely detect each shape index of an inner chamber of the crystallizer with the circular copper tube, and is applicable to the size precision and geometrical shape detection of the inner chamber of the crystallizer with the circular copper tube.

The invention discloses a method for designing and matching the roll shape of a continuous annealing temper mill. The method comprises the following steps of: for the specification of a main roll, collecting and counting a large number of process parameters, actually measuring sheet shape data at site, and analyzing the sheet shape quality problem of different products; providing a sheet shape target on the design of a roll shape for the requirements of different product users on the sheet shape quality, wherein the width of strip steel is taken as the fundamental quantity in the optimizationprocess; selecting different strip steel widths; and designing a roll shape optimization curve which can synchronously meet different strip steel width specifications and different varieties of steels through the finite element simulation of working condition. By the technical scheme, the sheet shape quality of automobile sheets, household appliance sheets and semi-process electrical steel can beremarkably improved, the precision requirements of users on sheet shape indexes of different products are met, and good economic benefit is created. The stability of rolling is improved, the sheet shape quality of the products is improved, and the method has actual promotion and application value.

The invention discloses a heat resistance associated molecular marker on chicken heat stress protein 70 gene and an acquiring method and application thereof. The heat resistance associated molecular marker of the invention is obtained from coding regions A+258G and C+1437T of chicken heat stress protein 70 gene. PCR amplification is carried out on heat stress protein 70, amplification product is directly sequenced, so as to screen mononucleotide polymorphic site, correlation analysis is carried out on the obtained parting result and chicken heat resistance shape index, the polymorphic site with obvious correlation is determined to be a heat resistance associated molecular marker, and A+258G and C+1437T are obtained. The invention acquires the heat resistance associated molecular marker, heat resistant chicken can be cultivated, and inheritance breeding method is adopted to thoroughly enhance the tolerance of chicken to high temperature.

In a moisture feeling evaluation device according to the present invention, an image input unit 1 receives an input of a captured image obtained by imaging a face F of a subject for which making up is performed, a brightness-color index calculation unit 10 calculates all of the amount of generated gloss, the amount of stain portions, and the amount of color irregularity portions as brightness-color indexes based on the captured image input to the image input unit 1, a shape index calculation unit 11 calculates all of the amount of wrinkle portions and the amount of pore portions as shape indexes based on the captured image input to the image input unit 1, and a moisture feeling evaluation unit 5 evaluates a feeling of visible moisture of the face F of the subject for which making up is performed based on the brightness-color indexes and the shape indexes.