443 results about "Image measurement" patented technology

The invention discloses an image measurement method for precise size measurement. The method comprises the following steps: step 1, selecting a laser scanner and an optical image measurement instrument to form a measurement array according to geometrical characteristics of a workpiece; 2, calibrating and verifying the measurement array, obtaining a basic error curve of the equipment through a standard gauge block, and collecting real-time environmental parameters after verification is passed; 3, calculating an environment interference coefficient Kenv, and starting measurement at the moment; 4, monitoring equipment acceleration sensor data in real time, and generating an equipment stability index Si; 5, when Si is larger than S < safety >, measurement is executed, and a result is output; and step 6, carrying out consistency analysis on multi-device results, if the results are consistent, outputting a final value, otherwise, triggering dynamic re-calibration. According to the invention, multi-dimensional cooperative control can be realized, the precision bottleneck of traditional image measurement in a dynamic environment is broken through, and the method is suitable for precision manufacturing scenes with high requirements on measurement stability and reliability.

The invention discloses a cutter state real-time monitoring and compensating method, system and equipment and a medium, and relates to numerical control precision machining. In the method, a cutting edge optical image, an acoustic emission signal time domain waveform, a vibration acceleration parameter and real-time temperature data of a cutting area of a cutter in the machining process are collected; measuring the maximum width and depth of a wear belt through an image to form a wear characteristic quantized value, and judging a wear over-limit state; judging the damage state based on the continuous ultralimit time of the instantaneous mutation rate of the acoustic emission signal; judging the abnormal vibration grade and state through vibration spectrum analysis; and inputting the vibration spectrum and the temperature data into a prediction model to obtain a position offset prediction quantity. And calculating a size deviation value according to a wear / damage state, calculating a coordinate offset according to vibration abnormity, generating a cutter geometric compensation instruction or a motion trail compensation instruction, and completing real-time compensation operation. According to the scheme, the fine abnormal change of the cutter in the machining process can be captured in time, and compensation is conducted according to the fine abnormal change.

The invention discloses a method for quantitatively evaluating the CMAS corrosion resistance of a thermal barrier coating, which comprises the following steps: uniformly coating CMAS on the surface of the thermal barrier coating, and carrying out corrosion treatment according to set temperature and time; the corroded thermal barrier coating is subjected to longitudinal linear cutting, and the cut section is gradually ground and polished; sEM characterization is conducted on the polished cutting section, and an SEM image is shot for further quantitative analysis; based on the obtained SEM image, the corrosion depth of the CMAS in the thermal barrier coating is measured; selecting at least one identification area in the CMAS corrosion area, and calculating the area of the CMAS phase in each identification area; and calculating the corrosion degree C of the CMAS to the thermal barrier coating based on the proportion of the CMAS phase area in the identification area. The method is simple and easy to operate, the proportion of the area corroded by the CMAS in the corrosion area is introduced as a key evaluation index on the basis of corrosion depth measurement, and a unified, reliable and quantifiable standard is provided for objectively and quantitatively evaluating the CMAS corrosion resistance of the thermal barrier coating.

Disclosed is an imaging measurement device including a light source unit that emits first light and second light to a target, a capturing unit that detects a first active signal, which is reflected from the target based on the first light, and a second active signal, which is reflected from the target based on the second light, and obtains an active image based on the first active signal, a data processing unit that calculates a distance to the target based on the first active signal and the second active signal, and an image unit that obtains a three-dimensional (3D) image based on the active image and the calculated distance, and displays the 3D image.

The invention discloses an image processing and measuring method and system based on unmanned aerial vehicle radar and oblique photography, relates to the technical field of oblique photography image measurement, and is used for solving the problem that the accuracy of region division and anomaly detection results is reduced. The method comprises the following steps: calculating a vegetation change gradient in combination with a radar echo amplitude to generate vegetation distribution characteristics; extracting an under-forest ground and generating uniform extrapolation points; arranging a clinometer to obtain an elevation and a coordinate; calculating a local slope and a crown fluctuation amplitude; according to the method, the area vegetation coverage state is evaluated, abnormal areas are screened, extrapolation ground points of the abnormal areas are marked and output, high-precision exploration of the forest area is achieved, terrain complexity and vegetation distribution characteristics are accurately reflected, reliable data support is provided for forest management and terrain analysis, and exploration efficiency and precision are improved.

The invention relates to the technical field of migration measurement, in particular to an image processing measurement system based on edge calculation. The system comprises a target image real-time acquisition module, a target object feature measurement module, a before-migration and after-migration similarity measurement module and a before-migration and after-migration difference measurement module, and can perform image real-time acquisition and target object feature measurement by arranging edge computing nodes beside image acquisition equipment corresponding to a target area; obtaining corresponding target object image measurement features before style migration; obtaining corresponding target object reference image data in the target area, and carrying out image style migration and similarity measurement before and after style migration to obtain feature similarity corresponding to the target object image before and after style migration; and performing style migration difference measurement based on the feature similarity before and after the style migration corresponding to the target object image to obtain the difference degree before and after the style migration corresponding to the target object image. According to the invention, accurate measurement of the image style migration effect of the target object can be realized.

The invention belongs to the technical field of high-temperature flow field velocity testing, and discloses a PIV (particle image velocimetry) endoscopic protection device for measuring a high-temperature airflow velocity field, which is suitable for measuring three-dimensional velocity field distribution in a turbine channel, between stages and at an inlet and an outlet of a turbine in a high-temperature and high-speed airflow environment. The device is characterized by comprising a shell, an inner wall, a sapphire glass tube, a partition plate, a light guide window, a water inlet channel, a water outlet channel, an optical element, a mounting seat and a cavity. The shell, the inner wall and the sapphire glass tube are coaxially sleeved and respectively form two-stage interlayers; the space between the shell and the inner wall is divided into an n-shaped water inlet channel and an n-shaped water outlet channel through a partition plate, circulating flowing of cooling water is achieved, and an endoscope optical assembly and a sapphire glass tube are efficiently cooled. Light guide windows are formed in the side wall of the shell from top to bottom in an equal-diameter and equal-interval mode, and an optical element capable of moving up and down in the glass tube in the axial direction is combined, so that the narrow measurement section in the turbine can be accurately measured; according to the structure, the temperature near the sapphire glass tube can be controlled below 500K under the extreme condition that the external environment temperature is up to 2000K, high temperature is effectively isolated, thermal stress concentration is relieved, and stable signal transmission and imaging measurement are ensured. Compared with the prior art, the endoscope probe can accurately reach a measurement area which is difficult to cover by a traditional light source, and efficient and stable measurement of a high-temperature, complex and narrow space flow field is achieved.

The present disclosure relates to an artificial intelligence-based load and heavy equipment collision prevention device and a control method thereof, the device including: a camera for capturing a forward image; a communication module for transmitting and receiving data to and from an external device; a memory in which at least one process for the artificial intelligence-based load and heavy equipment collision prevention is stored; and a processor for performing an operation according to the process. The processor can extract a person image and a dangerous object image, including the load and the heavy equipment, from the image using an artificial intelligence model, measure the separation distance between the extracted dangerous object image and the extracted person image, identify a collision risk on the basis of the measured separation distance, and output a warning message when the identified collision risk is present.

The invention relates to the technical field of river flow monitoring, and discloses a river flow control method and system based on image measurement. The method comprises the following steps: setting a space calibration point through a range finder, establishing a coordinate system, collecting a river image and carrying out geometric correction, calculating a water surface flow velocity by using an optical flow algorithm, calculating a sectional area by combining a water level and riverbed data, calculating an instantaneous flow rate after converting the surface flow rate into a vertical average flow rate, and generating control information according to an ecological flow rate condition. And controlling the opening degree of the water gate, the angle of the guide plate and the submerged adjusting dam according to the control information. According to the method, continuous and accurate measurement and calculation of the monitored section flow are realized based on an image acquisition means, a control mechanism linked with an ecological water demand threshold value is established, and the measurement process is ensured to be completed under a non-contact and remote control condition, so that the method is used for automation, intellectualization and ecological adaptability of water flow control of a dam.

The invention relates to the technical field of artificial intelligence and traditional Chinese medicine diagnosis, in particular to a traditional Chinese medicine tongue diagnosis image intelligent analysis system based on deep learning, which comprises a tongue picture acquisition module, a tongue picture measurement module, a tongue picture comparison module, a tongue picture comprehensive analysis module, a health consultation module and a data management module. Accurate extraction and quantitative analysis of tongue picture color features are realized by constructing a color manifold space and introducing Riemannian metric tensor and geodesic distance calculation; performing dynamic evolution tracking on tongue image change by adopting a thermal equation and a curvature flow model on a manifold; based on the geodesic distance, constructing a mapping relation between color features and syndromes, and generating syndrome probability distribution; meanwhile, tongue images collected at different times are compared and analyzed, the treatment effect is evaluated, the system is further combined with a traditional Chinese medicine knowledge graph, syndrome diagnosis, disease interpretation and dialectical treatment suggestions are provided, and the limitation that traditional tongue diagnosis is high in subjectivity and lacks quantitative standards is broken through.

The invention relates to a digital twin construction method and system for evolution analysis of a scouring pit in a near-dam region, and the method is characterized by comprising the following steps: firstly, obtaining multi-source heterogeneous data, and obtaining land-water integrated high-precision geographic space data through unmanned plane multi-view image measurement, laser radar scanning and single / multi-beam sounding technologies; the method comprises the following steps: firstly, constructing a dynamic digital twinborn model to provide a comprehensive data source for the twinborn model, secondly, constructing a dynamic digital twinborn model to realize real-time synchronization of a physical world and a digital world, secondly, carrying out evolution analysis, accurate prediction and decision optimization on a near-dam-area scour pit, and finally, carrying out calculation optimization and real-time display on a near-dam-area twinborn body. The erosion pit evolution process and early warning information are dynamically displayed through the three-dimensional visualization platform, the algorithm is reasonable, real-time synchronization of the physical world and the digital world is achieved, the monitoring precision, the analysis efficiency and the prediction precision of the near-dam-area erosion pit are greatly improved, and the method is suitable for popularization and application. And intelligent decision support is provided for safe operation of the hydro-junction.

The invention discloses a curvature compensation type metal material geometric dimension image measurement method and system, and relates to the technical field of dimension measurement. The curvature compensation type metal material geometric dimension image measurement method comprises the following steps: A1, sample dimension identification and outer contour test; a2, calculating and correcting the cross section area; a3, establishing a correlation model by considering influence factors; a laser measurement light curtain and a displacement sensor are combined to realize synchronous high-precision acquisition of the contour, the thickness and the length; a curvature compensation image algorithm is used for correcting measurement errors caused by curvature characteristics, and the measurement precision is improved; dimensional deviation, shape deviation and parallel section thickness and length verification are integrated, and it is ensured that the detection result is comprehensive and reliable; different sample expansion conditions caused by environmental factors and material factors are considered, a relation model is established, the sample expansion conditions can be directly predicted according to the environmental factors and the material factors, and then sample parameters are calculated more accurately; the whole process does not need manual intervention.

The invention relates to the technical field of computer vision and image measurement, and discloses a binocular camera synchronous automatic calibration system and a calibration method. The inner ring flange plate is fixed on the base and is used for fixing M calibration plates; the outer ring flange plate is arranged on the base, rotates around the radius tangential direction of the inner ring flange plate and is used for arranging and driving N groups of binocular cameras; the cross-shaped sliding table assembly is arranged on the inner ring flange plate and is used for driving the calibration plate to carry out position transformation; the camera bracket is fixed on the outer ring flange plate and is used for fixing a binocular camera; the control and data processing unit is connected with the outer ring flange plate, the cross-shaped sliding table assembly and the binocular camera and used for controlling the outer ring flange plate to rotate and controlling the calibration plate to move, and the binocular camera collects images and then completes calibration. According to the invention, automatic acquisition of multiple groups of images with different poses can be completed in one rotation period, full-automatic calibration of multiple groups of binocular cameras is realized, and the production efficiency is improved.

The invention relates to the technical field of workpiece alignment, in particular to a machined workpiece automatic alignment method and system based on image measurement, and the method comprises the following steps: collecting a workpiece image, analyzing a local curvature change rate, adjusting sampling density, reconstructing surface features, generating micro-topography data, calculating a stability score, and outputting an attitude correction parameter. And tracking a time sequence deviation derivation instruction response deviation track, fitting a deviation curve to invert delay mapping to generate an error correction table, and mapping a control signal to adjust a step length to generate an adaptive driving instruction. According to the method, the morphological stability score is calculated through the ratio of the boundary curvature continuity to the area compactness of the equal-optical-density region, accurate judgment on the boundary contour under different image conditions is achieved, the response offset function is constructed with the help of the least square method, the execution error correction table is mapped, the response precision and execution consistency of the alignment instruction are improved, and the accuracy of the alignment instruction is improved. And the alignment efficiency and the posture stability of the workpiece under the complex morphology condition are improved.

To provide a method and a system for precisely aligning chiplets with bonding sites.SOLUTION: A bonding system for aligning chiplets 22 to a substrate 25 includes acquiring an image of an area on the chiplet with an alignment microscope 145 or an upward microscope 141, measuring a deviation from planarity of the area on the chiplet, estimating a chiplet position error of the chiplet on the basis of at least the image of the area and the deviation from planarity of the area, and adjusting a relative position of the chiplet to the substrate based on the chiplet position error.SELECTED DRAWING: Figure 1

The invention provides a three-dimensional mining-induced stress monitoring device and method based on optical micrometer micro-deformation, and belongs to the technical field of underground coal mine engineering mining-induced stress testing. The device comprises a speckle field image monitoring module, an image acquisition module and a data storage and transmission module; the speckle field module is used for providing a speckle field and forming a speckle field change image; the image acquisition module is used for acquiring a speckle field change image of one circle of the inner wall of the first section of circular ring shell under the irradiation of the light source; and the data storage and transmission module is used for storing and transmitting the speckle field image. The device is based on the optical measurement micro-deformation technology, speckle strain field change images on the periphery of the inner wall of the device shell are monitored through the miniature industrial camera, the measurement precision can reach the sub-pixel level, and in the high-temperature, high-pressure and high-ground-stress complex deep coal mine environment, the monitoring result can be stably and precisely output in real time.

A microscope based system for image-guided microscopic illumination is provided. The system may include a microscope, a stage, an imaging subsystem adapted to obtain an image of a sample on the stage, a processing subsystem adapted to identify regions of interest in the sample from images obtained by the imaging subsystem, and a pattern illumination subsystem adapted to illuminate the regions of interest based on coordinates derived from the images by the processing subsystem. Methods of calibrating the microscope based system may include projecting light from the pattern illumination subsystem onto the sample in the illumination pattern based on computed coordinates of the desired pattern, obtaining an image of the illumination pattern from the sample with the imaging subsystem, measuring differences between actual coordinates of the illumination pattern in the image and the computed coordinates, ‘and generating correction factors based on the measured differences to calibrate the system automatically.

The invention provides a track displacement high-precision detection method and system, a medium and electronic equipment, and relates to the technical field of track measurement, and the method comprises the steps: obtaining a measurement image and a reference image in real time, and representing the measurement image as an image containing a measurement target configured on a track, the reference image is represented as an image including a reference target configured on a preset reference platform, and the preset reference platform is located on one side of a track at the same position as the measurement target; determining a first displacement amount of the measurement target according to the measurement images obtained at the preset historical moment and the current target moment, and determining a second displacement amount of the reference target according to the reference images obtained at the preset historical moment and the current target moment; and correcting the first displacement through the second displacement to obtain the target displacement of the track. The problem that in the prior art, track displacement detection equipment is inconvenient to use is solved.

The invention discloses a self-adaptive illumination adjustment image measurement method, and belongs to the technical field of image measurement. According to the method, adaptive adjustment is carried out on hardware and a related algorithm simultaneously according to environment illumination changes, the exposure amount of an image is changed by adjusting the exposure time of a camera on the hardware, and exposure adjustment is used for ensuring that the gray level distribution of an image sequence obtained by the camera in an interested area is consistent with that of a reference image as much as possible in the measurement process. Exposure adjustment of a camera is global adjustment for an image, and overexposure or underexposure pixel points still possibly appear in a local area of the image. Therefore, an illumination robust digital image correlation algorithm is provided, the gray level distribution of the sub-regions is adjusted in real time during correlation calculation, the registration precision of the sub-regions is improved by removing saturated pixels in the sub-regions, the sizes of the sub-regions are adaptively adjusted according to illumination changes, it is ensured that the sub-regions contain enough and rich gray level information, and the registration precision of the sub-regions is improved. And the robustness of a related algorithm in suppressing illumination interference is improved.

The invention discloses a non-contact uniaxial compression test infrared strain meter and a use method thereof, and belongs to the field of rock mechanics and engineering testing. The objective of the invention is to solve the prominent problems of low measurement precision, easy influence by characteristics of a test object, difficulty in comprehensively and accurately reflecting full-field strain distribution and the like of a traditional contact type strain measurement device in a uniaxial compression test. A non-contact infrared imaging measurement technology is adopted, a high-speed infrared camera is matched with a DIC algorithm, real-time mapping of full-field strain distribution is accurately achieved, transient behaviors such as crack initiation and expansion are clearly captured, strain field data and temperature field data can be synchronously obtained, measurement of the strain field data and the temperature field data are organically combined, and by means of the infrared technology and an environment control device, the measurement accuracy is improved. The device can stably work in severe environments such as high temperature and corrosivity, and is suitable for various complex samples; according to the method, the accuracy and comprehensiveness of measurement are effectively improved, the test efficiency is greatly improved, the method can be widely expanded to multiple fields of civil engineering, aerospace and the like, and powerful support is provided for research on mechanical properties of materials.

The invention provides a laser-assisted focusing system and an image measuring instrument, and belongs to the field of industrial vision, the laser-assisted focusing system comprises a laser height measurement assembly, a lens assembly, a light source assembly and a focusing processor; the lens assembly is used for detecting the quantity of the to-be-detected piece; the laser height measurement assembly is arranged on the periphery of the bottom of the lens assembly and used for collecting height information of the to-be-measured piece. The light source assembly is arranged at the bottom of the lens assembly; an acquisition light path of the lens assembly penetrates through a middle avoiding hole of the light source assembly; the focusing processor is in telecommunication connection with the laser height measurement assembly, the lens assembly and the light source assembly, and the focusing processor adjusts the overall height of the lens assembly based on height information transmitted by the laser height measurement assembly to achieve auxiliary focusing. The laser height measurement auxiliary focusing is adopted, the focusing efficiency is improved, the occupied space is small, and popularization and application in the fields of industrial quantity detection such as image measurement and semiconductor detection are facilitated.

The invention provides a battery piece testing system and a battery piece testing method. A battery piece testing system comprises a photoluminescence testing assembly and a processor. The photoluminescence test assembly comprises at least one light source and a camera, the at least one light source is used for irradiating a to-be-tested battery piece, and the camera is used for collecting an image of the to-be-tested battery piece; the processor is used for controlling at least one light source to irradiate the to-be-detected battery piece; the processor is also used for acquiring an image of the to-be-detected battery piece; and the processor is also used for performing image measurement on the image of the to-be-measured battery piece so as to determine at least one of the following multiple characteristic parameters of the to-be-measured battery piece: parallel resistance, a pseudo fill factor, an I-V curve and conversion efficiency. According to the invention, the problem of high fragment rate of the to-be-tested battery piece in the prior art is at least solved.

The present disclosure relates to an information processing device, an adjusting method, and a program that can display a higher-quality image.On the basis of an image obtained by imaging an LED display device configured by arranging a plurality of LED modules in a shape of tiles, a contrast measurement unit measures brightness of a joint area including a boundary between adjacent LED modules in the LED display device and a background area outside the joint area, and measures a contrast of the joint area to the background area. A joint correction value calculation unit calculates a joint correction value for adjusting luminance at the boundary between the LED modules on the basis of a measurement result of the contrast. The present technology can be applied to, for example, a direct view type tiling type large display using an LED.

The invention relates to the technical field of image processing, in particular to an image measurement method and system for cable insulation layer concentricity, and the method comprises the steps: constructing the gradient direction consistency in a local window of any pixel point in an insulation layer image; performing threshold segmentation on the gradient direction consistency of each pixel point in the insulating layer image to obtain candidate points, and constructing a local smoothness index of any candidate point; processing the candidate points based on a local smoothing index to obtain a dominant circle; performing Hough circle detection on the candidate points, and taking a difference between a Hough circle and a dominant circle as a target matching degree of each Hough circle; and taking the target matching degree as a potential energy value of a pixel point on the corresponding Hough circle, constructing a potential energy field in a Snake model, obtaining a target contour, and calculating the concentricity of the insulating layer. Through the technical scheme of the invention, the precision of extracting the cable insulation layer contour by the Snake model can be improved.

Provided is a polarization image measurement device that can be further reduced in size. This polarization image measurement device comprises: an infrared light source (12) that emits infrared light to an inspection target; a lens (14) that causes the infrared light emitted from the infrared light source (12) to diverge; a circular polarizer (16) with a thickness of 1 mm or less that converts the divergent infrared light from the lens (14) into circularly polarized light; a first image sensor (18) that receives reflected light obtained when the circularly polarized light obtained by the conversion by the circular polarizer (16) is reflected off an inspection target (P); and a polarization separation filter (20) that is disposed on an optical path between the inspection target (P) and the first image sensor (18) and that separates the reflected light into a plurality of polarized rays of light.

The present application provides a plant growth and health traceability management method and system based on artificial intelligence, relating to the technical field of traceability management, which carries out label detection and registration state division on plant information, obtains a new ID allocation process and / or an original ID associated daily management process; carries out new ID classification and recording of plant information according to the new ID allocation process, obtains new plant recording information; carries out daily ACDHMS data collection according to the original ID associated daily management process, carries out image measurement associated growth analysis and growth state determination after integration according to daily growth collection data, and transmits the same to the background storage data; decrypts and checks the background storage data, and then carries out growth and health evaluation analysis, obtains health evaluation analysis data, and generates a new key written into RFID. The present application has the functions of intelligent management, accurate evaluation and safe traceability, and improves the plant growth and health analysis processing capability.

A method for measuring parameters in an ultrasonic image, comprising: acquiring an ultrasonic image, the image comprising a target tissue; an ultrasound probe obtaining an ultrasonic image by means of receiving an ultrasound signal from the target tissue; displaying the ultrasonic image; obtaining a measurement instruction on the basis of the ultrasonic image; calculating a related measurement item of the target tissue according to the measurement instruction and obtaining a calculation result; and outputting the calculation result. Further provided is a system for measuring parameters in an ultrasonic image. The method and system solve the problem wherein ultrasonic image measurement operations are inconvenient

This application relates to the field of image measurement technology and proposes an automatic detection, tracking, and positioning method for aerial targets, applicable to high-precision perception and stable locking of low-altitude and near-altitude moving targets in complex environments. This invention employs a system redundancy and fusion detection approach, utilizing both a visible light camera and a lidar sensor to construct two sets of detection sensors with different modes for target detection. The data from these different modes are then fused, enabling automatic detection, tracking, and positioning of small aerial targets at distances greater than 500 meters in the far field. This provides target positioning information for subsequent precise detection, focusing, and real-time tracking display.

The invention discloses precise image measurement equipment and method based on laser measurement, and relates to the field of laser measurement, and the measurement equipment comprises a multi-axis motion platform, a measurement probe and a control system. The measuring probe is of a probe-shaped structure capable of penetrating into a measured inner cavity and is installed at the tail end of the Z axis of the multi-axis motion platform, and a confocal laser sensor and a lateral microscopic vision system are integrated in the measuring probe. The lateral microscopic vision system comprises a miniature image sensor, a miniature lens module and a lateral projection light source, and the optical axis of the lateral microscopic vision system is turned back through a reflection optical element, so that the effective sight direction of the lateral microscopic vision system is perpendicular to the axis direction of the measuring probe. According to the invention, through the design of the integrated miniature measuring probe, the shielding and depth-of-field limitation are overcome, and the synchronous and high-precision data acquisition of the inner side wall and the bottom of the deep hole with a high depth-diameter ratio and a step structure is realized, so that the complete three-dimensional shape of the inner cavity is reconstructed, the contour features are completely captured, and the precise measurement requirement is realized.

The application provides a human transcranial ultrasound irradiation method, device, electronic equipment and storage medium. The target head sagittal plane tomographic image and the transverse plane tomographic image are acquired; a vertical coordinate system is established based on the sagittal plane tomographic image, and the target point coordinates of the insula in the vertical coordinate system are determined; based on the transverse plane tomographic image, the horizontal distance from the insula to the target head brain midline is measured; the world coordinate point of the insula is mapped in the world coordinate system according to the target point coordinates and the horizontal distance; and the ultrasound transducer is controlled to irradiate the real position of the insula, so that accurate targeted irradiation can be realized, the use cost of the low-intensity focused ultrasound technology is effectively reduced, and the operation is simpler.