91 results about "Initial curve" patented technology

The invention discloses a remote-sensing image road network extract method based on an improved C-V mode, comprising the following steps: (1) pre-processing initial remote-sensing images; (2) selecting seed points and segmenting a first road network subimage; (3) using the level set method of the improved C-V model to extract a road network area; (4) using the method of morphologic detailing to extract the center line of the road network; (5) segmenting the next road network subimage according to the subimage position criterion rule to automatically obtain the road network initial curve according to threshold segmentation and the morphologic method. The method of the invention can be employed to effectively extract the road network from the remote-sensing image, upgrade urban road network in real time and effectively assist decision-makers in formulating traffic planning.

The invention discloses a method for predicting traffic flow extracted by an improved C-V model-based remote sensing image road network, which comprises the following steps of: (1) preprocessing an original remote sensing image; (2) selecting a seed point and segmenting a first road network sub-image; (3) extracting a road network area by an improved C-V model-based level set method; (4) extracting a road network central line by a morphological thinning method; (5) segmenting a next road network sub-image by using a sub-image position decision rule and automatically acquiring a road network initial curve in the road network sub-images by a threshold segmentation and morphological method; (6) vectorizing a road network; and (7) predicting the traffic flow. By integrating technology such as remote sensing, geographic information system (GIS), image identification, traffic planning and the like, an urban road network can be more accurately, efficiently and cheaply updated in real time, the traffic flow prediction cost is lower, the traffic flow prediction accuracy is higher and the traffic flow prediction period is shorter, so that decision makers can be effectively assisted in making traffic planning decisions.

The invention discloses a breast ultrasounography image segmentation method and system based on the neutrosophy set theory and level set curve evolution. The method comprises the steps that a breast ultrasounography two-dimensional gray level image is obtained; filtering processing is carried out on the breast ultrasounography two-dimensional gray level image based on the neutrosophy set theory, and the noise effect is removed; fuzzy clustering is carried out on the filtered image in a neutrosophy theory set, and a breast lump candidate area is segmented from the image; the boundary of the breast lump candidate area is used as an initial curve of a level set, and the level set curve evolution is carried out; the internal area of a curve evolution result is used as a suspected breast lump area, the area is assigned to be white, other areas are assigned to be black, and a black and white binary image is used as an output image. The noise effect can be removed from a segmentation result, and accuracy and completeness of lump shapes are kept.

A general method is given for screening laser diodes for electrostatic discharge, (ESD), damage. The laser diode may be selectively isolated from the laser driver so that a current-voltage (I-V), curve can be taken and then compared to curves taken previously on the same laser diode to ascertain the possibility of ESD damage. Presumably the initial I-V curve will be representative of the characteristics of that particular laser in the undamaged state. Such an initial curve may be supplied by the manufacturer and may be a curve specific to a particular laser diode. Comparison with a standard curve is not sufficient to determine ESD damage in the early stages of failure. Some embodiments focus on isolating the laser diode from the laser driver, storing the information locally in the transceiver, and providing some analysis resulting in flagging laser diodes showing changes that are indicative of ESD damage.

The invention relates to a method for using a plasma atomic emission spectrometer to measure impurities in high-purity gold, which comprises the following steps: weighing one unit of sample in a bunsen beaker, adding aqua regia to dissolve, replenishing hydrochloric acid deionized water to do constant volume to a scale after dissolving, respectively getting sample solution in more than two colorimetric tubes, solution in each tube is 15ml, adding gold standard solution which is mixed by elements according to a multiple relation in turn, doing constant volume by deionized water, starting the plasma atomic emission spectrometer, starting a circulating water pump, opening analytic control software, entering a 'standard addition method' control procedure, choosing a spectral line for measuring in a spectral line base, setting the concentration value of curved lines, scanning a whole band, sucking sample solution in each colorimetric tube in an instrument in turn according to the sequence that the concentration is from low to high, clicking a feeler switch to get an initial curve point of the point after sucking in each time, assuring curved lines, and leading the linear coefficient to be more than 0.99, outputting the concentration value result of each determined element, and calculating the result of the percentage content of each determined element according to the calculating formula.

The invention relates to a tongue body extracting method in the field of image processing technology. It comprises: ascertaining the tongue tip character area, ascertaining the tongue root character area, generating color gradient picture, constructing Snake initial curve, cutting initially, quoting the cutting effect: directly extracting the tongue body image when it cuts accurately, or enters into the next step; ascertaining some seed points around the tongue body, auto generating Pit line by the color gradient picture and doing second cutting: the corresponding Snake curve has been equally divided, the end point of each section is connected with the corresponding point of the Pit line, computing the spring force between the Pit points, adding the external force in the energy function, iterating the Snake curve until it contracts, at last extracting the tongue body image.

The invention discloses an image segmentation correcting method based on geodesic active region models, mainly solving the problem of incorrect probability modeling of a traditional method and comprising the realizing steps of: (1) carrying out Gabor filtering on images to be segmented and extracting the sliding window energy characteristics of each sub-band of the filtered images; (2) establishing Gaussian models according to the sliding window energy characteristics of marking points and estimating the self-adaptive weight of each characteristic passage; (3) adaptively weighting each characteristic passage probability to obtain the region probability and the boundary probability of pixels; (4) correcting the region probability and the boundary probability of the pixels according to a correcting algorithm based on the marking points; and (5) continuously evolving an initial curve by the geodesic active region models to obtain the boundary of an interesting target for finishing segmenting the images. The method enhances the modeling correctness of the region probability and the boundary probability of the pixels, obviously improves the region conformity and the edge correctness of a segmentation result, and is used for all kinds of image segmentations.

The present invention provides a reflector antenna shape optimization method and device. The method comprises the steps of S1 based on an aperture-field distribution function of an antenna and a pattern function of a feed source, obtaining an initial curve of the shape of the antenna; S2 based on the initial curve, obtaining the radiation characteristic of the antenna; S3 based on the radiation characteristic and a design requirement value, carrying out the shape optimization processing on the antenna. According to the present invention, the reflector configuration is fitted by a Zernike polynomial, the shape variable quantity of an antenna shape reflector and a normal vector on the reflector are solved by an analysis relation, and an antenna surface current is solved, on the basis, the design requirement value is compared according to the radiation characteristic of the antenna, and a genetic algorithm is utilized to optimize the shape of the antenna, so that the optimization efficiency is high, after shaping, the reflector presentation precision is high, the test and processing are easy, and the reflector antenna has wide military and civilian prospects.

The invention relates to a reaction curve generation method. The reaction curve generation method comprises the following steps: 1) acquiring a transmission light signal value to obtain initial time sequence light quantity data and form an initial curve; 2) selecting a function model meeting the initial curve and fitting according to the initial curve to obtain a fitting curve; 3) comparing whether a determination coefficient of the fitting curve is no less than a target value or not; if so, entering step 5); otherwise, entering step 4); 4) calculating theoretical time sequence light quantitydata and determining repairing data; reforming an initial curve and returning back to step 2); 5) taking the fitting curve as a reaction curve. The reaction curve formed by the method disclosed by theinvention similarly restores a reaction process at maximum so that an absorbance value calculated by the reaction curve is more accurate. The invention also relates to a reaction curve generation device and an optical detection system.

The invention provides a method for measuring impurities in 4-5N high-purity tin by a plasma atomic emission spectrometer, comprising the following steps of: weighing one unit of a sample, dissolving by adding aqua regia into a beaker, completely dissolving, replenishing hydrochloric acid, continuously heating at low temperature, repeating twice, finally replenishing hydrochloric acid, putting into a 100mL volumetric flask, and setting the volume at degree scale by deionized water for later measurement; remaining a pre-prepared standard work curve with the concentration from low to high for later use; and turning on the plasma atomic emission spectrometer, turning on a water circulating pump, turning on analysis control software, entering a 'standard curve method' control program, selecting a spectrum line for detecting in a spectrum line bank, setting a curve concentration value, carrying out full-wave band scanning, sequentially sucking sample solution of the standard work curve into the spectrometer according to a sequence that the concentration is from low to high, clicking a test key to obtain an initial curve point of the point after suction at each time, confirming the curve, so as to enable the linear coefficient of the curve to be more than 0.99, sucking solution to be measured into the spectrometer, outputting concentration value results of each element to be measured, and obtaining percentage content results of each element to be measured according to a calculation formula.

Methods and systems for analyzing flutter test data using non-linear transfer function frequency response fitting are provided. In one embodiment, a plurality of data points are read, with each data point representing a motion of an aeroelastic structure (e.g. an aircraft surface) at a different location. A closed form fit to the plurality of data points is performed to obtain an initial curve fit condition. At least one non-linear transfer function frequency response curve fit is then performed to the plurality of data points.

The invention discloses an image collaborative segmentation method based on minimum fuzzy divergence, and belongs to the technical field of image processing and computer vision. According to the method, the segmentation effect is judged through an Intersection over Union (IOU) value, and the method comprises the following steps: 1, acquiring an image segmentation data set, and performing conversion from an RGB space to an LAB space; 2, constructing a fuzzy divergence formula by using a Gamma-type membership function, constructing a new energy function, and performing curve evolution accordingto a minimum fuzzy divergence criterion to achieve a good segmentation effect. The target edge is better processed by using the fuzzy set theory. The color information of one image is introduced intothe energy function of the other image, so that the robustness of initial curve replacement can be enhanced. An optimal segmentation effect is achieved by solving a local minimum value of an energy function by utilizing a region-based active contour model. The established model can reduce the complexity of calculation time, and can be applied to early-stage work of an integrated imaging three-dimensional display system.

The invention provides a debris flow vulnerability calculating method comprising the steps of: a, building a building vulnerability evaluation model; b, selecting typical buildings; c, dividing loss types of the typical buildings into four levels and calculating the loss probability of buildings in each level under different debris flow intensity indexes IDF ; d, calculating the exceeding loss probability of buildings of each level and obtaining three exceeding loss probability matrix curves; e, superposing the three exceeding loss probability matrix curves, performing artificial interpolation according to a fitting function to make the loss probability achieve 1 value finally and obtaining a debris flow building vulnerability curve; f, for different types of roads, defining loss levels, and making the loss probability value achieve 1 value through an initial curve, trend fitting, artificial interpolation and weight determination and obtaining a debris flow road vulnerability curve. The method employs the loss probability-based evaluation model, so that evaluation results more accord with the reality and the applicability is greater.