31results about How to "Solve difficult to extract" patented technology

The invention relates to a molten pool contour image extraction method for realizing a closed connected domain. The molten pool contour image extraction method comprises the following steps: 1, extracting a molten pool image; 2, preprocessing and calculating the molten pool image; 3, calculating based on a gradient graph convenient for matching a guide operator template; 4, performing image merging; and 5, extracting a contour line of the molten pool image. By utilizing the device and the method, the problem that the contour line of the molten pool is difficult to extract as the front end of the molten pool is influenced by arc light due to non-uniform brightness distribution of the front end and the rear end of the molten pool is solved; the problems of unobvious gray scale change and weak gradient of two end parts of the rear end of the molten pool after an image is converted into a grey-scale map due to dark area brightness and non-uniform distribution of the rear end of the moltenpool are solved; the indication effect is achieved on the welding seam forming and the welding quality improvement.

The invention relates to a method for extracting residual abamectin from crystallization mother liquor, which comprises the steps of removing ester impurities and further separating each component by using a C18 column or a silica gel column. The separation and extraction process is simple; the selected and used solvent is cheap, safe and environment-friendly, and meets the industrialized requirement; and the effective ingredient B1 has high yield and reaches about 90 percent.

The invention discloses a crack detection method based on a remote sensing image. The method comprises the following steps: firstly, carrying out gray processing on a high-resolution unmanned aerial vehicle aerial image; performing feature highlighting on the gray level image by using a black cap algorithm, performing thresholding on a black cap operation result, performing expansion on the binaryimage, performing corrosion operation on the binary image, and finally performing machine learning training after extracting a connected domain of the binary image so as to complete crack detection.The crack detection method is suitable for crack detection operation of the unmanned aerial vehicle remote sensing image under the complex background, a large number of experiments prove that the crack information of the unmanned aerial vehicle aerial remote sensing image can be rapidly detected, calculation is easy, and the crack detection method can be suitable for complex scenes.

The invention discloses a corneal reflection and optical coding-based human face living body detecting method and system, belongs to the security technical field of resisting human face recognition attacks and particularly relates to the processing and the analysis of corneal images. The method comprises the steps of representing each piece of binary password information by using brightness or darkness of light through an optical coding mode and reflecting the brightness and darkness change by a cornea; and obtaining corneal reflection information by extracting the brightness and darkness information of a corneal image and realizing the human face living body detection through information comparison. The method disclosed by the invention has the advantages that only the brightness and darkness information of the corneal image needs to be extracted and the problem that the corneal reflection information is difficult to extract can be solved; the method has very low requirements on camera pixels and later image processing and analysis, so that the method is easy to realize, economical and effective; and the method has very high security and common attacks of face recognition can be resisted.

The present invention relates to the preparation process of extract containing hypericin and flavone compounds. The technological process includes extraction with polar organic solvent, biphase extraction and acid precipitation and through the simple process the extract containing total effective component not less than 50%, hypericin of 2-4 % and general flavone up to 50-90 % may be obtained. Inthe technological process, composite stabilizer is used, so that the extracted product may be maintained stably.

The invention relates to the field of traffic planning, in particular to a traffic flow prediction method based on a dynamic graph. The method comprises the steps of setting a plurality of monitoring sensors for key nodes of a traffic road, monitoring and collecting traffic flow, road occupancy and speed data of the road for a long time, constructing a traffic flow prediction model based on a dynamic graph neural network, inputting historical traffic flow data, setting related hyper-parameters in the model, and predicting the traffic flow. The method comprises the steps of preprocessing input data, designing a dynamic graph updating algorithm, applying the algorithm to a dynamic graph neural network module, extracting spatio-temporal features by adopting the dynamic graph neural network module and a ConvLSTM module, outputting a prediction result after the features are fused, and finally training a whole model for traffic flow prediction. According to the method, the fitting degree of the model prediction output and the actual flow condition is better, the prediction output stability is better, no large fluctuation occurs, and the traffic flow prediction result is more reliable and has more advantages.

The invention discloses a multi-stage recovery treatment method and device for waste shiitake mushroom sticks. The method comprises the following steps: sterilizing, cleaning, drying and crushing thewaste shiitake mushroom sticks; performing fermentation and centrifugation to obtain a primary residual material and a concentrated solution; extracting the primary residual material, and then performing filtration through an ultrafiltration membrane to obtain a treatment solution; carrying out alcohol precipitation on the concentrated solution and the treatment solution, centrifuging to obtain aprecipitate, and carrying out spray drying to obtain lentinan. The device comprises sterilization equipment, cleaning/drying equipment, fermentation equipment, centrifugal equipment, extraction equipment, a reaction kettle, ultrafiltration equipment and spray drying equipment. The waste shiitake mushroom sticks are subjected to polysaccharide extraction in a mode combining alcohol extraction afterfermentation, the problem that the shiitake mushroom sticks are complex in component and difficult to extract is effectively solved, and the high and stable extraction rate can be effectively guaranteed.

The invention relates to the technical field of extraction of natural peptide in plants and in particular discloses an extraction method of wheat germ peptide. The extraction method of the wheat germpeptide comprises the following technological steps: a, adding purified water into wheat germ meal and stewing; b, carrying out enzymolysis to obtain desugared germ meal; c, adding sodium citrate; meanwhile, adding neutral proteinase, cellulose proteinase and flavored proteinase; carrying out the enzymolysis for 2.0 to 3.0 h; d, carrying out high-temperature enzyme inactivation; e, separating andpurifying. The extraction method has the advantages that the price of the germ meal as a raw material is low; an extraction process is simple and convenient and no organic solvent is added; the purityof active molecules of the obtained wheat germ peptide is high and the yield of the peptide is high, so that the extraction method has relatively high economic benefits.

The invention relates to a detection method for low-frequency non-stationary signals. The detection method comprises the following steps: S100, determining a center frequency; S200, determining the bandwidth of a main lobe; S300, determining a sidelobe bandwidth; S400, adjusting a phase shift coefficient; S500, transferring a function; S600, determining amplitude/phase frequency characteristics; S700, if the phase requirement is met, entering the step S800, otherwise, returning to the step S400; and S800, ending. The method has the beneficial effects that the problems that inter-harmonics in a target frequency band are difficult to extract and interference is difficult to eliminate can be effectively solved, the 75-125Hz low-frequency inter-harmonics are well extracted through simulation and experimental verification of the detection algorithm, the extraction precision can exceed 50%, the extraction precision of second harmonics is up to more than 90%, the interference signal can be attenuated to below 1% (the amplitude can be suppressed to be close to 0), and the correctness and effectiveness of the detection algorithm are fully verified.

The invention discloses a target fluctuation characteristic characterization method based on coherent accumulation gain. The method comprises steps that step 1, radar receives echo data and records the echo data as X, the X is a J*K-dimensional complex matrix, and J and K are the number of distance units and the number of pulses of the radar echo data respectively; 2, partitioning of the radar echo data X on a pulse dimension is performed according to the length N, 3, a distance unit corresponding to a target to be analyzed on the lth pulse block is recorded as D1, and the rest steps. Comparedwith a method based on statistical distribution modeling in the prior art, the method is advantaged in that a problem that fluctuation characteristics of the weak target are difficult to extract is solved, the fluctuation characteristics of the weak target are represented, and thereby statistical analysis of the weak target can be conducted.

The invention discloses a P-wave extracting method based on orthogonal projection and independent component analysis. The P-wave extracting method is used for analyzing and processing electrocardiograph signals, and includes the steps that collected electrocardiograph signals are subjected to signal preprocessing; a QRS wave group template is obtained with the time domain average method; QRS wavegroup ingredients are filtered out with the space orthogonal projection method through the wave group template, and therefore the signal to noise ratio of P waves and T waves in residual ingredients is increased; the P waves and T waves are separated; P waves after separation serve as reference signals, and the P waves are extracted from original aliasing signals again with the semi-blind method.

The embodiment of the invention discloses an information query method. The method comprises the steps of obtaining a to-be-analyzed programming statement; wherein the to-be-analyzed programming statement is generated by adopting a target programming language; analyzing the to-be-analyzed programming statement to determine a first syntax structure tree; wherein each node in the first grammar structure tree represents a grammar structure in the grammar structure tree; determining a basic data structure based on a programming statement corresponding to the target programming language; based on the basic data structure, reconstructing the first grammar structure tree to obtain a second grammar structure tree; wherein the second grammar structure tree comprises a data structure in the first grammar structure tree; and receiving a statement query request, and performing statement query from the second syntax tree based on the query request. The embodiment of the invention further discloses an information query device and equipment and a computer readable storage medium.

The invention provides a sketch-based interactive iteration type virtual shoeprint image generation method. The method comprises the following steps: constructing an overall network architecture; wherein the overall network framework comprises a hole residual multi-level fusion full-convolution shoeprint image generation network, a full-convolution deep and shallow feature fusion shoeprint image discrimination network and a VGG19 pre-trained on an Image Net; performing offline model training on the constructed overall network; and generating an online virtual shoeprint image based on the offline trained model. According to the method, the shoeprint sketch is used to realize the generation of the shoeprint image, and the problems that the background is complex and the field shoeprint image is difficult to extract, which cannot be solved by the existing traditional image restoration algorithm and deep learning, are solved. The criminal investigation personnel are assisted to utilize crime scene information as much as possible to carry out case detection, and the case solving efficiency is improved.

The invention discloses a P wave extracting method based on orthogonal projection and independent component analysis. The P wave extracting method is used for performing analysis and processing on electrocardiosignals, and comprises the steps that signal preprocessing is performed on collected electrocardiosignals; a QRS wave complex mould is obtained through a time domain average method; a QRS wave complex component is filtered out by utilizing the wave complex mould and a spatial orthogonal projection method, and thereby, the signal to noise ratio of a P wave to a T wave in the remaining component is increased; the P wave and the T wave are separated; and then, the P wave is extracted from an original aliasing signal again by taking the P wave obtained after separation as a reference signal by employing a semi-blind method.

The invention discloses a peanut automatic carefully chosen based gynophore removal adaptive matching control system and method. The control system includes a main controller, an elevator motor, an elevator motor driver, a fan, a fan driver, a vibrating screen motor, a vibrating screen motor driver, a disc cutter set motor and a disc cutter set motor driver. Data can be collected by a first stresssensor, a second stress sensor and a dry humidity sensor, the main controller can perform analysis and processing based on the working state of current each motor, so that the adaptive adjusting andmatching of wind speed, cutting handle speed and screen vibration frequencies can be realized, the accuracy of cutting gynophore and the reliable separating of pods and debris can be guaranteed, the quality of peanut pods can be effectively enhanced, the problems of hard extraction and unable feedback of fruits, wind power, speed and other operation data can be solved, and the intelligence and informatization of efficient and accurate handle cutting and pod and debris separating functions can be realized.