70 results about "Image processing software" patented technology

Presented herein are systems and methods for the employment of machine learning models for image processing. A mobile application for client-side image processing and validation, which interacts with and leverages native image processing software of the client device, where the image processing software and the mobile application include any number of machine-learning models for identifying a document and attributes of the document for recognition and validation. This mobile application uses the image processing software from a client operating system to control the camera. The image processing software generates various types of information about a video frame and the document, and the mobile application invokes APIs or software libraries of the image processing software to access the information and validate the frame and document.

The invention relates to a binding material single particle local spatial evolution analysis method, and belongs to the technical field of civil engineering binding material microstructure characterization. The method comprises the following steps: acquiring back scattering (BSE) and characteristic X-ray energy spectrum (EDS) images of a sample; selecting a target gel particle based on the BSE image and intercepting a local area; identifying the reaction edge of the target gel particle; performing equal-width stepped strip division inwards and outwards by taking the reaction boundary as a starting point, and storing the mask; carrying out image operation on adjacent masks to extract strips, and carrying out statistical analysis on gray feature and element feature changes of each strip; according to the method, surrounding phase interference is avoided through local analysis, whole-process analysis is realized by adopting unified image processing software, a programming basis is not needed, the technical threshold is reduced, the operation process is simplified, the uniformity of strip division and the reliability of an analysis result are ensured, and the method is suitable for large-scale popularization and application. And a simple, convenient and effective technical means is provided for revealing the reaction mechanism and quantitative reaction activity of the cementing material.

The application relates to a scanning electron microscope measurement method for the thickness of a metal compound layer, which comprises the following steps: obtaining a cross section containing the compound layer by wire cutting, and polishing after inlaying; observing under a scanning electron microscope, selecting a copper-tin alloy compound layer to be measured, selecting a backscattering electron probe to obtain a composition contrast image, adjusting the image contrast so that the measured object and the matrix have obvious differences; selecting a magnification of 2500 times matching the thickness of the metal compound layer, obtaining a high-definition backscattering electron image at a scanning speed of 28 seconds / frame; and quantitatively and finely measuring the thickness of the metal compound layer by using ImageJ software. The advantages of the application are as follows: the metal compound layer is extracted by using the ImageJ image processing software, the area is calculated to obtain the average thickness of the film thickness measurement method, not only the accurate alloy layer thickness information is obtained, but also the standard deviation value of the measured object is obtained to evaluate the uniformity of the measured object; the measurement method improves the accuracy and can be applied to detection and analysis practices.

This invention provides a method for determining the carbon dioxide huff and puff mechanism in fractured reservoirs, belonging to the technical field of determining the carbon dioxide huff and puff mechanism in fractured reservoirs. This invention establishes a unified digital core by selecting outcrop cores to create cast thin sections and employing multi-scale fusion reconstruction technology. Topological connectivity is evaluated based on a seepage topological invariant fracture network connectivity evaluation algorithm. During well shut-in, a diffusion-convection hybrid encoding / decoding model is used to predict migration in real time, and the model learning rate is adjusted by a dynamic learning rate adjustment function. After well shut-in, a feedforward-feedback composite control strategy is used to gradually reduce back pressure to complete the production stage. The experiment ends after cleaning the chip with anhydrous ethanol. Finally, the degree of crude oil recovery is statistically analyzed using image processing software. This invention solves the technical problem of not being able to predict the migration process in fractures and matrix of fractured reservoirs in real time during well shut-in.

This invention provides a method for measuring pulsed laser parameters based on titanium nanofilms, belonging to the field of pulsed laser parameter measurement methods. The method first prepares titanium nanoparticle ink; then, a titanium deposition layer is prepared by inkjet printing or spin coating; finally, the titanium deposition layer is placed within the laser scanning range, a single-point or line scanning mode is set, and images of the sintered titanium region are recorded. The corresponding laser parameters are obtained through image processing software analysis. This method can intuitively, conveniently, and cost-effectively obtain key pulsed laser parameters, and can accurately obtain parameters such as spot size and repetition frequency.

The invention relates to the technical field of fiber reinforced resin-based composite materials, and particularly discloses a quantitative characterization method for the wettability of a unidirectional fiber reinforced resin-based prepreg. The method comprises the following steps: cooling a prepreg sample in a refrigerant until the temperature is lower than the glass-transition temperature of a resin matrix by 50 DEG C or above, shooting and imaging by adopting a microscope, identifying and calculating the areas of a resin infiltration area and a resin non-infiltration area through image processing software, and further calculating the infiltration degree of the prepreg. According to the method, the defect that the infiltration degree is judged according to experience in the prior art is overcome, and key parameter support is provided for research and development of the prepreg.

The invention discloses a picture processing method based on rapid batch photographing and printing, and relates to the technical field of image processing and intelligent equipment manufacturing, and the method comprises the following steps: S1, building a picture processing folder, and presetting a picture processing execution action; s2, performing picture shooting through a camera, and performing serial number coding according to picture shooting information; s3, according to the serial number codes of the pictures in the step S2, carrying out preset processing on the pictures by utilizing image processing software; and S5, after the picture processing is completed, sending the picture data to the printing equipment, and executing the processing action of the next picture at the same time. The picture processing action is performed in real time in the picture data sending process, and the data of the next picture is processed in the time period when the picture data is sent to the printer for printing, so that the photographing, picture processing and printing efficiency is improved, the load balance of equipment is realized, and the picture data is acquired according to the photographing time. And orderly processing of batch pictures and data transmission are realized.

Presented herein are systems and methods for the employment of machine learning models for image processing. A mobile application for client-side image processing and validation, which interacts with and leverages native image processing software of the client device, where the image processing software and the mobile application include any number of machine-learning models for identifying a document and attributes of the document for recognition and validation. This mobile application uses the image processing software from a client operating system to control the camera. The image processing software generates various types of information about a video frame and the document, and the mobile application invokes APIs or software libraries of the image processing software to access the information and validate the frame and document.

The invention relates to a conformity control installation (1a) for a manufacturing line of cast concrete segments comprising at least one mold (2) including a base (3) and side walls (4, 5) and means (30) for automated in-person and dimensional control of said mold (2) before the pouring of fluid concrete into it, said means comprising a movable digital image acquisition element (33) for extracting a plurality of predetermined control points, and a computer terminal (40) integrating image processing software that retrieves the plurality of captured points to generate a three-dimensional map of the inside of the mold in the form of a point cloud and then compares this map with a digital reference model in order to detect any geometric differences and indicate whether the mold conforms to said model. Figure for the abstract: Fig. 3

This invention relates to the field of building material ceramic performance testing technology, specifically a method and application for testing the wear resistance of glaze surfaces, comprising the following steps: S1, cutting out the glazed area as a sample, washing it, and drying it to constant weight; S2, pre-test photography: determining the measurement area on the sample, observing and photographing the measurement area using a microscope, and obtaining the initial dark area ratio η0 of the measurement area using image processing software; S3, grinding test; S4, sample post-treatment: after reaching the pre-adjusted rotation speed n, removing the sample, cleaning it, and drying it to constant weight; S5, post-test photography, obtaining the dark area ratio η of the measured area surface after grinding. n S6. Calculate the wear area ratio Δη of the measurement area, plot Δη against the grinding revolution number n, and take the lowest value among the grinding revolutions corresponding to the wear area ratio Δη reaching 33.3% or above as its wear resistance revolution number, so as to solve the problem that the current test of the wear resistance of glaze is difficult to quantify and has a large human error.

The invention belongs to the technical field of unconventional oil and gas development, and particularly relates to a gas-water-rock reaction and particle dissolution-migration in-situ visual quantitative determination method and device based on a micro-fluidic chip. The quantitative determination method comprises the following steps: firstly, designing a chip model containing a real rock core, wherein factors such as a strong heterogeneous structure of the compact conglomerate oil reservoir and strong difference of a pore throat structure are considered at the same time; then, the gas-water-rock reaction and the particle dissolution-migration process are recorded through an optical camera; and finally, analyzing contribution degrees of different minerals to a gas-water-rock reaction and judging different corrosion modes of the conglomerate by combining image processing software and a mathematical model. The method can be used for carrying out in-situ visual quantitative determination on gas-water-rock three-phase reaction, particle corrosion and a secondary migration process in the conglomerate reservoir under the conditions of oil reservoir temperature pressure and fluid chemistry.

The invention discloses an information hiding anti-counterfeiting method based on a visual perception system and a printing method for a packaging box, and the information hiding anti-counterfeiting method comprises the steps: 1, inputting an original information image I, and carrying out the binarization processing, and obtaining a to-be-hidden information silhouette image B; 2, generating a salt and pepper noise image with the same size as the original information image I through image processing software or a computer programming language, and taking the salt and pepper noise image as an encrypted substrate binary dot image N; 3, copying an image N as a to-be-processed binary dot image N ', and performing pixel transformation on the image N' by taking the to-be-hidden information silhouette image B as a mask through image processing software or a computer programming language to obtain a transformed information hidden image H; and 4, superposing the encrypted substrate binary dot image N and the information hiding image H to obtain a target image C. The method is simple to operate, easy to implement and high in safety, and improves the anti-counterfeiting verification efficiency.

The invention provides a method for determining the organic matter surface porosity of the total area occupied by organic matter pores, which comprises the following steps: carrying out an electron microscope scanning experiment on a shale sample to obtain a first scanning electron microscope image of the shale sample; extracting all organic matter regions in the first scanning electron microscope image of the shale sample by using preset image processing software to obtain the total area fraction of organic matters on the surface of the shale sample; obtaining the average surface porosity of organic matter pores from the first scanning electron microscope image of the shale sample according to a preset fifth rule; and according to the total area fraction of the organic matters on the surface of the shale sample and the average surface porosity of the organic matter pores, obtaining the organic matter surface porosity of the organic matter pores in the total area according to a preset formula. The organic matter surface porosity of the organic matter pores in the total area can characterize the characteristics of the shale surrounding pore structure, reflect the shale organic matter thermal evolution process, and provide a basis for evaluating shale gas reservoir and dessert section optimization.

This invention provides a method for processing photovoltaic (PV) module EL images and calculating module power attenuation. The method involves capturing EL images of the PV module using a CCD camera (black and white images); converting the black and white images into a heatmap using image processing software; qualitatively observing light changes in the EL image within the heatmap; adding a standard ruler to the heatmap to directly compare light intensity in different areas of the EL image to determine the basic performance of the PV module; calculating the average fluorescence intensity of the Red Hot heatmap; and converting the fluorescence intensity data into PV module power attenuation data to determine the PV module's performance. This method allows for a direct, qualitative, and quantitative assessment of the basic performance of PV modules.

An imaging system is disclosed for automatically classifying and / or analyzing a sample through motion-blurred images. The system includes an imager with a light source that directs light onto a stage that contains the sample and an image sensor, wherein the stage and / or the imager components are configured to move continuously in a lateral (x, y) direction. Image processing software executed by a computing device acquires motion-blurred video of the sample while moving the stage and / or the imager in the lateral direction, wherein the image processing software is further configured to stitch motion-blurred video image frames or optionally generated motion-deblurred video image frames into a larger field-of-view (FOV) image containing the one or more samples. A trained machine learning model is executed by the computing device configured to receive the larger (FOV) image or portion(s) thereof and output a classification and / or an analysis of the one or more samples.

The invention relates to a molecular fluorography detection method combined with liquid chromatography, and belongs to the technical field of analysis and detection. The invention aims to solve the technical problems that the high sensitivity is difficult to maintain while the miniaturization of the existing liquid chromatogram fluorescence detector is realized, and a flexible and low-cost detection scheme is lacked. According to the technical scheme, the method is characterized in that after being subjected to liquid chromatography separation, a sample is conveyed to a silica gel coating preparation plate through a polyether-ether-ketone tube to form a detection area; exciting fluorescence by adopting a laser with a first narrow-pass optical filter; acquiring a series of fluorescence images by using an image acquisition unit with a second narrow-pass optical filter; and finally, extracting RGB (Red, Green and Blue) numerical values of a fixed pixel region through computer image processing software, and generating a chromatogram of which the fluorescence intensity changes along with time. The method is mainly used for rapid and high-sensitivity fluorescence detection in the fields of biomedical analysis, environmental monitoring, food safety and the like.

Presented herein are systems and methods for the employment of machine learning models for image processing. A mobile application for client-side image processing and validation, which interacts with and leverages native image processing software of the client device, where the image processing software and the mobile application include any number of machine-learning models for identifying a document and attributes of the document for recognition and validation. This mobile application uses the image processing software from a client operating system to control the camera. The image processing software generates various types of information about a video frame and the document, and the mobile application invokes APIs or software libraries of the image processing software to access the information and validate the frame and document.

The invention discloses an automatic paper feeding scanner, and relates to the technical field of scanning equipment, the automatic paper feeding scanner comprises a placing mechanism and a paper feeding mechanism mounted on the placing mechanism, the placing mechanism comprises a shell and an adjusting assembly, the shell is fixedly provided with two mounting plates, each mounting plate is provided with an L-shaped sliding groove, and the L-shaped sliding grooves are arranged in the shell. A guide plate with a groove is rotationally mounted on each mounting plate, the two guide plates with the grooves are in sliding connection with a movable sliding groove plate, the movable sliding groove plate is connected with a piston rod of a hydraulic cylinder, each guide plate with the grooves is in sliding connection with a movable plate, and each movable plate is slidably mounted in an L-shaped sliding groove in the corresponding mounting plate; according to the invention, camera shooting and image processing software is adopted for automatic splicing, so that the photographing speed is high, paper jam is avoided, and the use efficiency is improved.

The invention discloses an intelligent regulation and control feedback lily processing method, relates to the technical field of agricultural product processing, and solves the technical problems that intelligent sorting, maximum economic value improvement and automatic feedback regulation and control cannot be realized in an existing technical scheme. The method comprises the following steps: step 1, acquiring to-be-processed lily data through product character acquisition equipment and image processing software, wherein the to-be-processed lily data comprises but is not limited to integrity, color and size; a multi-dimensional quality sensing system is constructed by integrating various sensors such as the high-definition camera, the spectral imager and the X-ray detector, and external form information such as the size, the color and the damage of lilies can be obtained; and internal physicochemical indexes such as water content and sugar degree and whether internal structure defects such as hollowness and foreign matters exist or not can be detected quickly in a lossless manner. The problems that manual sorting is high in subjectivity, only depends on appearance and is low in efficiency are fundamentally solved, and a reliable and comprehensive data basis is provided for subsequent refined processing.

The utility model discloses an experimental device for detecting antibacterial performance. The experimental device comprises a box body, a drawer box, a placing tray and an identification plate, the box body comprises a box body shell and an imaging assembly, a window is arranged on the side face of the box body shell, the imaging assembly is arranged on the upper portion of the box body shell, the drawer box is arranged at the window, and the containing disc is placed on the drawer box. According to the utility model, images of a plurality of culture dishes can be obtained at one time through the imaging assembly, and image information in each culture dish can be obtained at one time through the image processing software, so that rapid evaluation on the antibacterial performance of the culture dishes is realized. According to the specific structure, images of a plurality of culture dishes in the detection box can be obtained at a time through the movable image sensor unit, imaging parameters of the culture dishes are basically consistent, and unification of subsequent software recognition results is facilitated; and through the identification plate arranged below the transparent culture dish, the image identification efficiency and accuracy can be effectively improved.

Presented herein are systems and methods for the employment of machine learning models for image processing. A mobile application for client-side image processing and validation, which interacts with and leverages native image processing software of the client device, where the image processing software and the mobile application include any number of machine-learning models for identifying a document and attributes of the document for recognition and validation. This mobile application uses the image processing software from a client operating system to control the camera. The image processing software generates various types of information about a video frame and the document, and the mobile application invokes APIs or software libraries of the image processing software to access the information and validate the frame and document.

The present application relates to the technical field of underwater sonar detection, and discloses a region segmentation method and system for underwater target sonar image detection, comprising an image acquisition module, an algorithm optimization module and a verification and evaluation module. The region segmentation method and system for underwater target sonar image detection are connected to a side scan sonar through the image acquisition module to collect sonar image data of all regions, then utilize image processing software to perform data enhancement on the sonar data set and construct an experimental data set, the algorithm optimization module sets the YOLOv9 algorithm model as a real-time target detection framework, then introduces a BoTNet network and a SimAm attention mechanism for optimization and improvement, and is used for extracting feature information in the experimental data set, has strong feature capturing capability, the verification and evaluation module calculates the average precision mean and score of each algorithm model according to the experimental data set, compares the detection precision of the improved YOLOv9 algorithm model with the YOLOv3 algorithm model, the YOLOv5 algorithm model, the YOLOv7 algorithm model and the YOLOv9 algorithm model, and has high wreck detection precision.

The application discloses a personalized image display method and device of an electronic paper mobile phone shell, a terminal device and a storage medium. The method comprises the following steps: searching for a target template file in a template library according to a template selection instruction sent by a terminal; obtaining to-be-filled information from the terminal according to the target template file, filling the to-be-filled information into a target to-be-filled area in a target template layout style, and obtaining a target template after filling is completed; calling preset image processing software to convert the target template after filling is completed into a corresponding target image; and sending the target image to the terminal, so that the terminal transmits the target image to the electronic paper mobile phone shell according to pre-configured communication connection parameters, so that the electronic paper mobile phone shell displays the target image through built-in electronic paper. Through implementation of the application, a user can replace the image of the electronic paper mobile phone shell at any time, and personalized requirements in different scenes are met.

The application provides a kind of fractured body oil reservoir carbon dioxide huff and puff mechanism determination method, belong to fractured body oil reservoir carbon dioxide huff and puff mechanism determination technical field, the application is prepared by selecting outcrop core cast body thin section and using multi-scale fusion reconstruction technology to establish unified digital core, based on seepage topological invariant fracture network connectivity evaluation algorithm to evaluate topological connectivity;During the period of soaking, the migration is predicted in real time by using diffusion-convection hybrid coding and decoding model, and the model learning rate is adjusted by a dynamic learning rate adjustment function;After soaking, the production stage is completed by gradually reducing the back pressure based on the feedforward-feedback compound control strategy;After cleaning the chip with anhydrous ethanol, the experiment is ended;Finally, the oil recovery degree is counted by image processing software, which solves the technical problem that the migration process in fractured body oil reservoir fractures and matrix cannot be predicted in real time during soaking.

The invention provides a spaceflight synthetic aperture radar image processing software load balancing method and system, and the method comprises the steps: dividing a plurality of sub-regions as initial tasks during the execution of parallel unwrapping processing, and distributing the initial tasks to work nodes; executing an iterative unwrapping algorithm in the working node, further determining a phase residual error of each pixel point, and extracting to obtain a plurality of residual error non-convergence areas; packaging each residual error non-convergence area into residual error sub-tasks, returning the residual error sub-tasks to the main node, and dynamically redistributing the tasks to idle nodes by the main node based on the load state of each working node; the working node performs iterative solution according to the received residual subtask, and submits a solution result back to the main node to update a global phase field; and repeatedly executing the step of determining the phase residual error and updating the global phase field until the interferometric phase diagram meets a judgment condition, and realizing convergence of all pixels. By adopting the scheme of the invention, real-time load migration based on residual dynamic evolution can be realized.

The application discloses a fluorescent dye tracer method for tracking hydraulic fracturing cracks and application, and the method comprises the following steps: S1, configuring a fluorescent dye solution: using a water-soluble fluorescent dye rhodamine B to prepare a mass-volume ratio aqueous solution with a concentration of 0.01% to 0.05%; S2, pre-treating and cleaning the cracks of a sample: using a hydrochloric acid solution with a concentration of 1% to 3% to acid-wash the cracks of the sample, and then rinsing the sample with clean water; S3, pre-saturating the crack channel: pre-saturating the crack network of the sample; S4, injecting the fluorescent dye solution under low pressure pulse, so that the crack channel is filled with the fluorescent dye solution; S5, soaking and permeating: after the crack channel is filled with the fluorescent dye solution, stopping the injection and placing the sample, and soaking the sample to make the fluorescent dye solution penetrate into fine cracks and pores; S6, observing the dyeing: after the surface of the sample is dried, cutting the sample along the main crack direction to observe the internal crack direction, and performing quantitative analysis by using image processing software.

The application relates to the technical field of medical biological detection, and provides application of YAP protein asymmetric dimethylation modification at an arginine 124 site (YAP-R124me2a) in preparation of a tumor early diagnosis, prognosis evaluation or drug selection reagent or kit, wherein the methylation modification is asymmetric dimethylation modification, and the tumor is a YAP-related malignant solid tumor; further provided are a tumor early diagnosis, prognosis evaluation and drug selection kit and an evaluation system. The modification level of YAP-R124me2a in tumor tissue is determined by using an immunohistochemical technology, microscope photographing and computer image processing software, and combined with postoperative follow-up information, the correlation between the expression amount of YAP-R124me2a and the prognosis of tumor patients after surgery is determined, YAP-R124me2a can be used as a protein molecular marker for early diagnosis of liver cancer, lung adenocarcinoma, gastric cancer and colon cancer, judgment of postoperative prognosis and drug selection, and has important guiding significance for postoperative monitoring and individualized sequential treatment of tumor patients.

A navigation system is described that allows for absolute pointer positioning by integrating a lever that establishes the navigation and activation relationship of the pointer, similar to a mouse, but without the drawbacks of sequential positioning methods. This innovative system combines a lever, an infrared light emitter, a camera, and image processing software to locate the lever's position in two dimensions and synchronize this position with the mouse pointer. The lever moves on a spherical surface or ball joint, enabling precise and fluid navigation. The infrared light emitter and the camera work together to establish the pointer's position, while image processing software allows the infrared emitter's position to be located in two dimensions and associated with the computer pointer's position.This approach offers absolute pointer positioning, improving the user experience in terms of accuracy and comfort.

The utility model discloses glass ball transparency detection equipment, which relates to the technical field of glass ball detection, and comprises a frame body, a lifting assembly and a CCD (Charge Coupled Device) camera, the frame body is movably connected with a transverse moving assembly, one end of the transverse moving assembly is in transmission connection with the lifting assembly, and the middle part of the frame body is fixedly connected with a feeding assembly; according to the utility model, glass balls to be detected are placed in the column holes of the rectangular array, the first scale area is set as a horizontal coordinate, the second scale area is set as a vertical coordinate, each column hole corresponds to a coordinate value, and the coordinate value is engraved at the bottom of the inner cavity of each group of column holes. The feeding assembly, the lifting assembly and the transverse moving assembly are synchronously started, the CCD camera sequentially collects coordinate value images below the glass ball, the collected images are analyzed through image processing software, and batch detection is achieved.

The invention relates to the technical field of dicing blade service life analysis, in particular to a resin metal composite dicing blade service life analysis device and method.The device mainly comprises a fixing frame, a detection mechanism, a clearing mechanism, a control mechanism and a display mechanism, a moving assembly and a limiting assembly are installed on the top face of the fixing frame, a fixing assembly is installed on the moving assembly, and the detection mechanism is arranged above the fixing frame. The clearing mechanism is arranged above the fixing frame. The distance between the laser displacement sensor and the scribing knife is detected, data are compared and processed through the intelligent sensor, when the distance exceeds a set value, the service life of the scribing knife can be analyzed, and the scanning camera scans the roughness of the cross section of a cut workpiece; the scanning camera scans and photographs the cross section of a product and transmits the cross section to the image processing software, the obtained image is compared with an image with the set service life, the service life of the scribing blade is detected and analyzed through the laser displacement sensor and the scanning camera together, misjudgment of the service life of the scribing blade is not prone to being caused, and then the accuracy of service life analysis of the scribing blade is improved.