1908results about How to "Implement extraction" patented technology

The invention relates to a method for carrying out face three-dimensional reconstruction at any viewing angle on the basis of a self-adaptive deformable model. The method includes the steps of (1) obtaining face image data and screening a face image with high definition as original data, (2) positioning feature points, (3) coarsely estimating the angle of a face according to the positioning result of the feature points, (4) building a face three-dimensional deformable model, adjusting the feature points of the face to be at the same dimension as the face three-dimensional deformable model through translation and scaling and extracting coordinate information of the points corresponding to the feature points of the face to form a sparse face three-dimensional deformable model, (5) iterating face three-dimensional reconstruction by means of the particle swarm optimization algorithm according to the coarsely estimation value of the angle of the face and the sparse face three-dimensional deformable model to obtain a face three-dimensional geometric model, (6)mapping input face texture information in a two-dimensional image to the face three-dimensional geometric model in a texture pasting method after the face three-dimensional geometric model is obtained, so that a complete face three-dimensional model is obtained. The method can be widely used in the field of identity identification.

The invention relates to a weld seam surface defect feature extraction method based on the grayscale image morphology, which comprises the steps of setting shooting parameters of a miniature CCD camera according to an acquired image; converting the acquired true color image into a grayscale image, and carrying out median filtering processing on the image; eliminating a white interference region generated by residue noise and background texture by adopting a minimum area deleting method; avoiding influences imposed on edge line extraction by an undetermined black region through region filling processing; processing a completely filled weld seam region through an expansion algorithm so as to acquire a weld seam region whose area is identical to the actual weld seam area; extracting an edge line of the filled and expanded weld seam region by adopting a Canny operator so as to realize positioning for the weld seam region; and drawing a cross section grayscale B scanning curve which is vertical with the weld seam edge, wherein a gray-scale value of the weld seam surface changes obviously on the B scanning curve when the weld seam surface has defects such as a hole and an overlap, so that different types of defects at the weld seam surface are judged. The weld seam surface detect feature extraction method realizes accurate positioning for the weld seam edge and accurate recognition for the defects such as overlaps and holes.

The invention relates to a tunnel lining disease detection device based on an infrared temperature field and a gray level image. The tunnel lining disease detection device comprises a vehicle-mounted mobile platform, illumination equipment, a photoelectric encoder, a GPS (Global Position System) receiver, an inertia unit, a synchronous controller, an area-array camera, an infrared thermal imager, an acquisition server, a display control device and a power supply system; tunnel lining two-dimensional image data, infrared temperature field data and fracture surface deformation data are combined with positioning data of the GPS, the inertia unit and the photoelectric encoder to establish a tunnel model with gray level information, temperature information and fracture surface deformation; and tunnel lining cracks are analyzed, and the length, width and lining leakage water information of the cracks are automatically detected. For the tunnel lining disease detection device, the advantages of infrared temperature field detection and two-dimensional gray level image crack detection are combined so that the detection result is relatively reliable, the speed is rapid and the working efficiency is greatly improved.

The method comprises: a) getting the source code of the target webpage; b) extracting the address link matching the a preset extracting term from said source code of the target webpage; c) according to the extracted address link, getting the source code of its corresponding content webpage; d) extracting the content information matching the preset extracting term from the content webpage. The system thereof comprises: a setting unit used for presetting a target webpage and an extracting term; a first acquisition unit used for the getting the address link from the target webpage source code; and a second acquisition unit used for getting the content information from the content webpage source code.

The invention discloses a power channel corridor routing-inspection method based on a tilt photography three-dimensional reconstruction technology, wherein the method includes the steps: A, combining a laser radar data measurement technology and a tilt photography technology, and rapidly constructing power transmission line channel high-precision three-dimensional base map data by using the laser radar measurement technology; B, acquiring three-dimensional real scene data of a channel corridor by using the tilt photography measurement technology; and C, carrying out fused analysis of the three-dimensional real scene information and a laser radar channel base map, effectively identifying and extracting trees and obstacles in the channel corridor, and then generating a tree barrier assessment report. By using the method, qualitative analysis of the tree barrier can be effectively turned into quantitative analysis, the position of a to-be-felled tree in the channel can be calculated, the felling area is statistical, and thus the safe operation of the line corridor is ensured.

The invention provides a road zebra crossing automatic extraction method based on vehicle-mounted laser scanning point cloud, and relates to public traffic road zebra crossings. According to the method, global positioning system data for recording vehicle positions and tracks in real time is used for extracting a plurality of cross sections from the vehicle-mounted laser scanning point cloud data, and the road and non-road classification is realized through detecting the elevation mutation of road shoulders of the roads in the scanning line data; then, the three-dimension road data is converted into an intensity characteristic image with space distribution characteristics, the laser scanning point normal distribution characteristics are utilized for dynamically cutting the road zebra crossings, the GPS (global positioning system) track data is used again for calculating the linear morphology closed operation direction and size, and the extraction of the road zebra crossings is realized. Through the cross section subdivision on the vehicle-mounted moving scanning data, and the three-dimension road surface data detection is converted into the detection of the elevation mutation of the road shoulders of the roads in the two-dimension profile for realizing the road and non-road classification. Compared with a method of directly processing mass three-dimension data, the method has the advantages that the calculation quantity is small, and the efficiency is high.

The invention relates to an automatic tracking control and online correction system with a welding gun and a control method thereof and belongs to the technical field of robotic arc welding. The automatic tracking and control and online correction system comprises a vision sensing system, an image processing system, a tracking control system and an online correction system, wherein the vision sensing system comprises a CCD (Charge Coupled Device) vision sensor; the image processing system comprises an image preprocessing module and an image processing module; the tracking control system comprises the welding gun, a control system, a driving system, a signal processing module and an arc sensor; the online correction system comprises a laser two-dimensional outline scanning sensor and an error analysis module. According to the automatic tracking control and online correction system, butt-welded seams are predicated, tracked and corrected respectively a prewelding stage, a welding stage and a post-welding stage by virtue of error online fusion of three sensors, namely the CCD vision sensor, the arc sensor and the laser two-dimensional outline scanning sensor, so that the welded seam tracking precision and the fault tolerance of the system are improved, the welding production efficiency and the welding quality are improved, and the automatic tracking control and online correction system has generality.

The present invention relates to a quick scanning method for a residual error matrix in video coding process, which belongs to the field of video coding in signal processing. The method comprises: storing elements in a two dimension residual error matrix to a one-dimension serial according to a preset mapping way; extracting the lots of residual error elements gradually and orderly from the one-dimension serial, computing a level value, a map value and a run value of each residual error element, and storing them respectively. In the process of scanning the residual error matrix, the invention can parallelizably and effectively read the residual error element, accomplish parallelizably data computing and information extracting, and can quickly obtain the required scanning results, thereby, the invention greatly reduces the time cost in whole scanning process, enhances the coding rate of a coder, and facilitates the realization of real-time encoding under high distinguishability.

The invention discloses a power equipment fault knowledge graph construction method. The method comprises the steps of power text preprocessing; named entity identification: identifying and extractingpower domain entities, obtaining local features on global features through a CRF model, and accurately obtaining optimal sequence annotations of the text; relationship identification: analyzing sentence structures by analyzing dependency relationships among components of sentences, and analyzing sentence dependency relationships by identifying and positioning grammatical relationships in the sentences; and knowledge storage and visualization: carrying out knowledge aggregation on the identified entities and relationships to form an RDF ternary form, and importing knowledge into a graphic database Neo4j to carry out knowledge storage and knowledge visualization. The method can achieve the extraction and aggregation of the power equipment fault knowledge, facilitates the quick and comprehensive construction of a power equipment fault knowledge graph, and facilitates the improvement of the intelligent level of power equipment fault diagnosis.

The invention discloses an abnormal vehicle license plate recognition method and a system. the method comprises the following steps: 10, an image of an abnormal vehicle license plate is captured; 20, the image of the abnormal vehicle license plate is pre-treated to obtain a filter image; 30, a vehicle body image is detected in the filter image; 40, the abnormal vehicle license plate is positioned in the vehicle body image; 50, characters of the abnormal vehicle license plate are segmented in the vehicle license plate region; and 60, a Chinese character classifier, an alphabet classifier and a mixed number and alphabetclassifier are arranged respectively so as to recognize the characters of the abnormal vehicle license plate, and the following operation is carried out on each classifier. Thus, the vehicle license plate can be recognized in the abnormal condition, and the vehicle license plate recognition precision is high.

The invention discloses a method for extracting rice protein by using rice, which comprises the following steps: soaking and grinding, rice milk adjustment, primary liquefying, centrifugal separation, homogenizing, washing, centrifuging, enzymolysis, enzyme inactivation, screen separation, washing, centrifuging, drying, crushing and packing so as to obtain the rice protein. The method overcomes the defects that the high-concentration alkali liquor has damage effect on rice protein amino acid in an alkali extraction process, the quality of the extracted rice protein is poor, and the purity and sanitary index of the extracted protein cannot reach the edible standard; and in other methods for extracting the rice protein by using enzyme preparations, the rice milk is liquefied at a temperature of over 95 DEG C and then is dried at the high temperature, so the rice protein is denatured, the color is darkened, and the function of the rice protein is damaged. The extracting method of the invention keeps good physical functionality of the rice protein, implements industrialization of the extraction and production of the rice protein, and meanwhile improves the production conversion rate and quality of rice starch sugar.

The invention relates to a JPEG image information hiding based private information communication method and system. The system comprises a preprocessing module used for converting to-be-transmitted information into binary data, an encryption/decryption module used for generating an information hiding key by a password input by a user, an information hiding module used for embedding the converted binary data into a carrier JPEG image, a transmission module for transmitting and sharing the JPEG image embedded with the binary data information, and an information extraction module used for extracting the binary data in the image embedded with the binary data information, wherein the information hiding module comprises an entropy decoding module, an information embedding module and an entropy encryption module. The invention provides a complete multi-morphological information hiding core algorithm taking an image as a medium and a communication solution. The private information communication method and system have important theoretical and application values.

The invention relates to a method for preparing cellulose water-based solution by straws, which consists of three parts: 1) the separation of the cellulose in the straws; 2) cellulose purification and molecular weight adjustment; 3) the dissolution of purified cellulose in aqueous medium. The separation process of the cellulose adopts the method of separating hemicellulose first and then removing lignin; the cellulose purification respectively adopts the method of acid or alkali treatment, and the molecular weight adjustment is finished by hydrolysis; the obtained cellulose is dissolved in alkaline aqueous solution through a pre-cooling method; and uniform and transparent cellulose solution is finally obtained. The method of the invention can realize the process of directly preparing cellulose aqueous solution by straw biomass; the obtained cellulose solution can be widely applied to cellulosic spinning, and the preparation and chemical derivatization reaction of regeneration membrane and resin.

The invention discloses a method for test recognition based on verification and a device thereof, the steps of the method comprise receiving a verification request, splicing a generated identifying code segment and a to-be-recognized image segment comprising test characteristics into an identifying code image to transmit to a terminal, receiving user recognition information which is transmitted by the terminal and is input by users after the users recognize the identifying code image, and extracting text characteristics included by the image segment in the user recognition information to be the recognition result of the image segment. The scheme of the invention increases the accurate recognition rate of the recognition result, and resolves the limitation of the computer recognition.

The invention provides a nuclear safety shell surface defect automatic detection method and system, and provides a systematic and effective technical scheme to overcome the defects in a nuclear safety shell surface, including cracks, corrosion and seepage. The method comprises: image preprocessing, and then utilizing a contour expansion filtering algorithm to perform denoising enhancement to obtain pretreated binary images; feature extraction comprising utilizing a linear weighting tensor voting algorithm, extracting cracks from discrete noises through detecting high light degree to obtain a result probability graph; and performing object tracking to obtain a crack center line, back-projecting positioning to extract real crack information, measuring crack length and stable width, crack integration and other defect detection and storing information. The invention further provides utilizing an adaptive width template method and an iterative method to respectively binarize images, and obtaining final binary images by performing AND operation on two results. The technical scheme creates an own system, and can meet real engineering demands, and guarantee nuclear shell safety.

The invention relates to a strong mapping digital twin system based on a virtual imaging technology. According to the system, a multi-information cooperative communication mechanism is established between digital twin bodies, morphological information, state information and behavior information of a physical entity system are collected through multiple sensors and sent to an edge computing node, and the edge computing node is responsible for receiving sensor information and carrying out edge computing processing on the received information; A virtual imaging technology is applied to project digital entities of the digital twin system into a real space in a three-dimensional visualization mode, meanwhile, state information of the physical entities is displayed in a virtual reality mode, thedetail display effect of the digital twin system is enhanced, and the requirements for multi-view observation and immersion experience are met; According to the system, strong information mapping isestablished between a physical entity and a digital entity through the process, and it is guaranteed that information is transmitted between twin bodies in real time at a high speed in an undistortedmode.

The invention discloses a hierarchical cluster aviation pump multiple fault diagnostic method based on frequency multiplication relative energy sum. In the method, firstly fault mode effect influence analysis technology is used for carrying out sensor optimal distribution on an aviation hydraulic pump and acquiring sensor signal; then common faults of the aviation hydraulic pump are classified by hierarchical cluster to determine the sequence and hierarchy of fault diagnosis; and finally fault diagnosis of a first diagnosis layer, a second diagnosis layer and a third diagnosis layer is carried out to complete the multiple fault diagnosis on the aviation pump. The method realizes the multiple fault diagnosis of the aviation pump with high accuracy; a extraction method of fault feature and frequency doubling relative energy sum is designed aiming that typical gradual fault of the aviation hydraulic pump is extremely weak at fault initial signature, the method can effectively realize the fault feature extraction of weak signal, and the method is proved to be accurate and efficient by plenty of experiments.

The invention discloses a three-dimensional investigation method for a dangerous falling rock based on an air-borne laser radar. Original laser point cloud data and original video image data which cover an engineering zone and the initial exterior orientation elements of the original video image data are collected and processed to generate a DEM (Digital Elevation Model), a DOM (Digital Orthophoto Map) and a color laser point cloud. An index database is generated, the dangerous falling rock is recognized by information in the index database, the information factors of the dangerous falling rock are extracted to classify the hazard rate of the dangerous falling rock and provide a treatment strategy, and cross section lines required by a treatment design are extracted. The high-precision color laser point cloud, the high-precision DEM and the high-precision DOM are established by the advanced space-to-land observation technology based on the air-borne laser radar, the information extraction, quantitative analysis and risk evaluation of the dangerous falling rock are realized, and a novel method for surveying mountain hazards based on the air-borne laser radar technology is created.

The invention discloses a local sampling-based multi-geometrical characteristic point cloud data splitting method. The method includes the following steps: a three-dimensional rule grid is utilized to divide all acquired point cloud data into a plurality of first grid units; the process of extracting each geometrical characteristic includes the following steps: a sampling point is randomly chosen from the first current data set, the current first grid unit with the sampling point is determined, the sampling point and the other points in the current first grid unit are utilized to construct Alpha candidate geometrical models, an optimal model is determined from the Alpha candidate geometrical models, a consistent set of the optimal model is calculated in the first current data set, and according to multiple geometrical characteristics, all the point cloud data are split into a plurality of subsets. From local sampling, the method constructs candidate geometrical models from a first grid unit, and determines an optimal model from the candidate geometrical models, so that a geometrical characteristic is extracted, thus the problem of fitting models not existing in reality is prevented; and the method is more efficient.