312 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.

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 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 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 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 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.

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.

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.

To simplify the setup process for coordinate measurement using a touch probe and improve usability. [Solution] The image measuring device includes a setting unit that sets geometric measuring elements on a workpiece image for measurement using a touch probe, a storage unit that stores in advance the correspondence between the shape type or size of the measuring elements that can be set by the setting unit and the position and number of contact target positions of the touch probe relative to the measuring elements, and a control unit that, when performing measurement with a touch probe, identifies a plurality of contact target positions of the touch probe based on the position of the measuring elements on the workpiece image set by the setting unit, the shape type or size of the measuring elements, and the pre-stored correspondence, and moves the stage or the touch probe relative to the plurality of identified contact target positions.

To provide a remote control device, a remote control system, a remote control method, and a program that can facilitate remote operation of a robot.SOLUTION: The remote control device includes: a movement control unit that controls the movement of moving means mounted with a camera; an image acquisition unit that acquires images captured by the camera; a measurement unit that measures a delay time of the movement of the moving means relative to a speed command value for moving the moving means; and a viewpoint calculation unit that calculates an estimated viewpoint of the camera after the moving means has moved based on the delay time.SELECTED DRAWING: Figure 1

A measuring method for measuring distortion of a substrate includes capturing images of a plurality of partial regions of a pattern formed in a device region of the substrate, measuring a position of the pattern based on the images acquired by the image capturing, and processing of determining a period of the pattern based on the images acquired by the image capturing, and determining distortion in the region of the substrate where the pattern is formed, based on the determined period and a measurement result acquired in the measuring.

The invention discloses a transverse image distance measuring device and method for transformer replacement traction, and belongs to the technical field of power equipment maintenance. The device comprises a transverse visual image deviation measuring system, a mounting frame, a quick clamping device and an image processing host, the visual deviation measuring system is arranged above a main transformer transfer trolley track wheel carrier through the mounting frame and the quick clamping device, and the visual angle of the visual deviation measuring system is adjusted to be perpendicular to a track; the system collects images of track wheels and tracks; the method comprises the following steps of: based on an image, extracting a track and a wheel rim edge through a sub-pixel edge detection algorithm which comprises image preprocessing and is based on a Zernike moment, and calculating a transverse deviation amount; according to the method, traditional manual plumb line measurement is replaced with non-contact image measurement, the measurement precision is greatly improved, uninterrupted continuous monitoring is achieved, the rail gnawing risk is effectively eradicated, and the operation safety and universality are remarkably improved.

The present application relates to a kind of porous ceramic material size automatic test equipment and method, belong to image measurement technical field.Test method includes: step S1, multiple sample numbers and in order are placed into each sample compartment of material taking frame, and blank material receiving frame is placed in material taking frame side;Step S2, according to the size specification of sample, the size of material taking frame and material receiving frame, sample quantity, set the sampling program and sample receiving program of mechanical arm;Step S3, according to the size specification of sample, set the measurement program of image measuring instrument measurement sample size;Step S4, according to sampling program, control mechanical arm from material taking frame sampling and place in image measuring instrument;According to measurement program, control image measuring instrument to sample size measurement;According to sample receiving program, control mechanical arm and sample receiving to material receiving frame in, until complete the measurement of all samples.The present application can realize the accurate test of large batch sample size, improve test efficiency and accuracy.

The utility model provides a lens inspection device based on a transmission-type collimation imaging measurement method, which relates to the technical field of optical machine assembly, is matched with a collimator, a lens, an electron microscope and an industrial personal computer for use, and comprises a rotary table, a lifting table, a translation table, an angular table, a quick mounting plate and a lens clamp, the lens inspection device comprises a rotary table, a lifting table is fixedly connected above the rotary table, a translation table is fixedly connected above the lifting table, an angular table is fixedly mounted above the translation table, a lens clamp is fixedly mounted above the angular table, and the lens inspection device accurately detects aberration and definition of a lens by adjusting positions and angles of the rotary table, the lifting table, the translation table and the angular table. The problem that the detected lens cannot be accurately coaxial with the collimator and the electron microscope is solved, and high dynamic and wide range of lens detection is realized.

The application discloses a speckle quality evaluation method based on speckle gray scale distribution characteristic comprehensive parameters, and belongs to the related technical field of image measurement and optical measurement. The speckle gray scale distribution characteristic comprehensive parameters composed of speckle image average gray scale gradient, speckle image information entropy and speckle image autocorrelation parameters are used to comprehensively evaluate the quality of a speckle image. The speckle quality is comprehensively evaluated, more indexes are considered, and parameters are more comprehensive, so that the misjudgment phenomenon caused by single evaluation parameters such as average gray scale gradient and information entropy can be effectively improved. The speckle image autocorrelation parameter is used as a new parameter, and the whole speckle image is traversed, so that the contrast and randomness of the speckle image can be effectively considered, and high-quality speckles are screened out. The high-quality speckles screened out can improve the precision of processing displacement and strain of a digital image correlation system.

This invention provides a method for measuring the depth of ultrasonic welding craters based on three-dimensional point clouds, belonging to the field of engineering measurement technology. The method combines two-dimensional and three-dimensional point cloud data fusion detection, overcoming the poor anti-interference capability of traditional two-dimensional image measurement methods. It can operate stably in complex welding environments, ensuring the reliability of the detection results. Simultaneously, by employing a spectral confocal sensor and three-dimensional point cloud technology, the three-dimensional morphology of the welding surface can be accurately captured. Noise is effectively eliminated through point cloud quantile filtering and MAD denoising technology, improving the accuracy of crater depth measurement. Furthermore, this invention automates the crater depth measurement process through various advanced algorithms (such as point cloud quantile filtering, percentile interpolation screening, and plane projection segmentation), reducing the need for manual intervention and improving detection efficiency.

This specification describes systems and methods for using Zero Echo Time (ZTE) magnetic resonance imaging (MRI) sequences for applications to functional MRI (fMRI). In some examples, a system for functional magnetic resonance imaging includes a magnetic resonance imaging (MRI) scanner and a control console implemented on at least one processor. The control console is configured for executing, using the MRI scanner, a zero echo time (ZTE) pulse sequence; acquiring, using the MRI scanner, magnetic resonance data in response to the ZTE pulse sequence; and constructing at least one MRI image using the magnetic resonance data and measuring tissue oxygenation (PtO2)-related T1 changes as a proxy of neural activity changes of a subject using the at least one MRI image.

An image reading apparatus includes a conveying unit configured to convey a document, a reading unit configured to read an image on the conveyed document, a measurement unit configured to measure a distance from an upper portion of a sheet feeding port for the document to an upper surface of the document, and a control unit configured to, according to the distance measured by the measurement unit, suspend the conveyance of the document by the conveying unit. According to a user operation for reading again the document of which the reading is suspended by the control unit, the conveying unit conveys the document and the reading unit reads the image on the document, and while the document of which the conveyance is suspended is conveyed again, the control unit does not suspend the conveyance of the document based on the distance measured by the measurement unit.

The invention discloses an image measurement method, device and equipment and a storage medium, relates to the technical field of image processing, is applied to an image linear measurement system, and comprises the following steps: initializing a preset double-canvas component in the image linear measurement system on a human-computer interaction interface, and loading a to-be-measured image based on the preset double-canvas component; the preset double-canvas component comprises a display canvas component and a data canvas component; when the mouse event corresponding to the to-be-tested image is monitored based on the display canvas component, triggering a straight line drawing operation of the to-be-tested image based on the mouse event in the display canvas so as to determine a drawn target straight line and straight line drawing information; determining a target straight line measurement result corresponding to the target straight line through a data canvas component based on the straight line drawing information, a preset dynamic straight line measurement strategy and a pixel coordinate conversion scale; the target straight line measurement result comprises physical dimension information. According to the invention, accurate measurement of the image straight line physical size can be automatically realized, and the measurement adaptability is improved.

The application relates to a face image processing method and system, and belongs to the technical field of computers, wherein the method comprises the following steps: acquiring a face image of a property owner uploaded by a terminal; measuring a face length, a face width and a position of an intersection of a straight line where the face length and the face width are located of the face image of the property owner; calculating face proportion data of the property owner based on the face length, the face width and the position of the intersection and storing the face proportion data of the property owner into a preset face database of the property owner; before playing a target recording video, calculating face proportion data of all to-be-measured face images based on face lengths, face widths and positions of intersections of all to-be-measured face images in the target recording video; and performing fuzzy processing on to-be-measured face images in the target recording video, which satisfy the face proportion data of the face database of the property owner. The application has the effect of reducing the operation cost of a property.