1453 results about "Optical measurements" patented technology

The invention discloses an indoor water tank sediment starting speed measurement system and method, and aims to solve the technical problem that data accuracy is affected due to the fact that a sensor disturbs a flow field in an existing measurement method. The core of the technical scheme is that the non-contact measurement characteristic of the PIV technology is applied to the whole process from flow field construction to data acquisition. The device is mainly composed of an imaging unit, a laser lighting unit, a movable sliding frame, a water flow adjusting unit and a buffer plate. Optical measurement is carried out through the imaging unit and the laser illumination unit, a physical sensor does not need to be arranged in a flow field, and interference of a measuring instrument on a water flow structure and a sediment starting process is fundamentally avoided. The movable sliding frame which is integrally designed integrates the functions of sediment laying, particle throwing and measuring, so that a test area can be quickly positioned; and the buffer plate and the water inlet and drainage adjusting unit are combined, so that a gradually-changed flow field from weak to strong can be accurately and stably simulated.

The invention relates to the technical field of optical measurement and geometric position measurement, in particular to a remote multipoint monitoring system and method for roadbed surface settlement, and the system comprises a plurality of distributed monitoring nodes and a remote data platform; the monitoring node comprises a heterogeneous sensor group and an edge processing module which is connected with the sensor group and is used for carrying out local preprocessing and fusion on multi-source data; the wireless communication module is used for sending the data to a remote data platform; the power supply and maintenance module provides electric energy and supports node cleaning and environment adaptation; the remote data platform comprises a data receiving and storage unit, a data fusion and analysis unit, an early warning unit and a visual user interface. According to the invention, a multi-sensor fusion intelligent monitoring network is constructed, all-weather and high-precision remote monitoring of urban road subgrade settlement and associated crack deformation thereof is realized, settlement trend prediction and early warning are provided through AI analysis, and the initiative and safety guarantee level of urban road maintenance are improved.

The invention discloses an optical imaging and coding hole technology fused optical imaging system and method, and aims to integrate scattered polarization components in a reflected light signal into coding light field data with clear layers by constructing a polarization coding modulation system, so as to highlight a coupling relationship among optical elements. A refocusing sequence and a focal plane chromatography technology are adopted, spatial geometric information and light intensity distribution characteristics of different depth layers are fully excavated, and a three-dimensional distribution rule of surface topography is disclosed; wavefront correction and deformable mirror control technologies are introduced, imaging parameters of an optical system are adjusted in a self-adaptive mode, and the application range of measurement precision is expanded; light intensity modulation analysis and phase unwrapping window processing are combined, the change trend of the surface curvature is depicted, and key feature points of morphology measurement are grasped; finally, multi-dimensional and multi-level optical measurement information is fused, three-dimensional measurement output with rich content and reliable precision is formed, and comprehensive and high-quality measurement technology resources can be provided for application scenes such as precision optical detection and surface quality evaluation.

The invention provides an optical measurement method and device, and belongs to the technical field of optical measurement, and the method comprises the steps: starting a light source with the wavelength changing dynamically to generate a sweep frequency optical signal; dividing the light into a measuring beam and a reference beam by using a light splitting component, guiding the measuring beam to irradiate a target to be measured and then return along the same path, and guiding the reference beam to enter an optical component of which the optical path changes along with the wavelength and then return; based on the low-coherence characteristic of the light source, when the optical paths of the two light beams meet the interference condition, detecting an interference signal by using a sensing component; the optical path difference is determined according to time information in the interference signal, and the thickness of each reflection interface is calculated by combining refractive index data of a target to be measured. Different from the traditional low-coherence interference measurement which depends on a motor and the like to control the movement of a reflector, the method avoids the limitation of mechanical driving on the measurement frequency, and achieves the high-speed optical thickness measurement.

The invention relates to the technical field of spacecraft orbit control and space safety, and discloses a space debris orbit prediction and avoidance method, which comprises the following steps that: a ground computing center screens candidate targets and generates enhanced data packets for uploading; the spaceborne computer combines real-time navigation data to carry out geometric feature screening, and an instant high-risk target list is generated; controlling the star sensor to execute optical observation, and resolving an optical measurement relative orbit state by utilizing displacement superposition and Kalman filtering; selecting a high confidence coefficient or a conservative probability threshold according to the optical measurement state acquisition condition, and generating an avoidance instruction when the collision probability exceeds the limit; and the propulsion system responds to the instruction to execute avoidance, verifies the effect by confirming the semi-major axis variation and executes track recovery by selecting an aircraft. According to the method, the ground-air collaborative screening and shift superposition enhancement technology is adopted, the problems that the low-precision ephemeris false alarm rate is high and the detection capability of a satellite-borne sensor on a dark and weak target is insufficient are solved, and the accuracy of evasion decision making and the execution reliability are improved.

The invention relates to the technical field of machine vision and optical detection, in particular to a tea color automatic evaluation method and system based on machine vision. The method comprises the following steps: constructing a stable and repeatable optical measurement environment and calculating radiation baseline parameters; performing multi-band polarization sequence imaging on the tea sample to obtain original data with spectrum and structural characteristics; separating mirror surface and diffuse reflection components on the surfaces of the tea leaves, and performing spectrum consistency correction by combining a radiation baseline; performing multiband spectrum reconstruction and normalization processing on the basis of the corrected diffuse reflection image, mapping to a CIE Lab color space, extracting pixel-level brightness, chromaticity and color distribution statistical indexes, and generating a color feature vector in combination with spatial weighting matrix optimization; a final score is calculated by constructing a quantitative evaluation and grade judgment model and integrating perception color separation, drying calibration color separation and a penalty term, and a grade result is output. According to the method, objective, accurate and automatic evaluation of the color of the tea leaves is realized.

The invention relates to the technical field of optical measurement, in particular to a complex reflective object surface reconstruction method and system based on multi-system point cloud fusion, and the method comprises the steps: carrying out the joint calibration of the spatial relation among a camera, a projector and an LCD screen; projecting to a target object based on a projection grating phase method and a phase deflection operation path, and collecting structured light patterns of the two through a camera; phase solving is carried out on the structured light pattern collected by the camera, and a three-dimensional reconstruction result is obtained in combination with the joint calibration information; and world coordinate system matching and point cloud fusion are carried out on the three-dimensional reconstruction result based on the joint calibration information, and the three-dimensional morphology of the target object is generated. According to the method, the problems that in diffuse reflection reconstruction, patterns projected by a projector cannot be comprehensively collected due to exposure and height and gradient ambiguity cannot be solved by a monocular phase deflection technology in high reflection can be solved complementarily, high reflection and diffuse reflection objects can be solved, a complete reconstructed object can be obtained, and the reconstruction precision is improved.

The invention discloses a binocular structured light three-dimensional reconstruction and dynamic rotation matrix-based large rotation equipment rotor multistage stacking concentricity accurate measurement method, and belongs to the technical field of non-contact optical measurement, three-dimensional reconstruction and assembly precision measurement. The method comprises the following steps: 1, binocular structured light three-dimensional reconstruction; step 2, dynamic rotation matrix correction: correcting the space attitude of the surface of the spigot, and converting all measured point clouds to a unified coordinate system for concentricity calculation; 3, multi-stage stacking eccentricity error evaluation under the polar coordinate system is carried out, the concentricity is rapidly calculated on the basis of a three-dimensional reconstruction result, and visual distribution of eccentricity errors is formed for subsequent online compensation; and 4, constructing a feed-forward + feedback compensation closed-loop system based on the measurement and error transfer model in the step 3, and correcting the eccentric error in real time in the assembly process. The defects that existing contact measurement is low in efficiency, contact damage exists, and multi-stage assembly accumulative errors cannot be evaluated and compensated in real time are overcome.

The invention relates to the field of optical measurement, in particular to a reflective interference film thickness measurement method and system for eliminating back scattering of a transparent substrate, and the method comprises the following steps: transmitting a light beam through a low-coherence-length broadband light source, and forming linearly polarized light through polarization modulation; focusing the light beam to the surface of the film through a confocal optical system; collecting reflection interference signals of the upper surface and the lower surface of the film; spatial filtering, low-coherence gating and polarization control are used for cooperatively inhibiting back scattering of the substrate. And processing the acquired interference signal, and calculating to obtain film thickness information. According to the invention, triple inhibition mechanisms are adopted for synergistic effect, and the method comprises the following steps: spatial filtering: shielding out-of-focus back reflected light through a confocal small hole; low-coherence gating: using a short coherence length to naturally suppress a reflected signal beyond a coherence range; and polarization control: further weakening stray light interference through polarization state matching, and effectively suppressing back scattering of the substrate.

The application discloses a kind of acoustic-optical fusion's cold spring methane detection method, system, device and storage medium, comprising: obtaining first preprocessed acoustic measurement data and second preprocessed optical measurement data, obtains environmental measurement data;According to the acoustic measurement data, the optical measurement data and the environmental measurement data, form joint data;According to the joint data extraction joint feature, according to the joint feature determines current methane total concentration, according to the joint data determines current methane total leakage flux.The embodiment of the application can improve the accuracy of cold spring methane detection, and can be widely applied in gas detection technical field.

The invention belongs to the technical field of computer vision and optical measurement, and discloses a three-dimensional reconstruction method and device based on multi-frequency fringe synchronous optimization and a medium, and the method comprises the following steps: based on a monocular structured light system, projecting a plurality of groups of sine fringe images with different frequencies to the surface of an object to be measured through a projector, and carrying out the stepping of a plurality of phases, acquiring a corresponding image sequence by using a camera; using a structured light phase shift method to obtain a relative phase value of a pixel point; obtaining an initial absolute phase value and modulation intensity based on a structured light phase shift method and a multi-frequency heterodyne method; and carrying out joint optimization on the absolute phase and modulation intensity parameters of the multi-frequency fringes through a Gaussian-Newton iteration method. According to the method, the anti-noise capability and the reconstruction precision are improved, a parameter adjustment and threshold recovery mechanism is introduced in the optimization process, the convergence stability and abnormal value elimination are ensured, and the method is suitable for high-precision structured light application scenes such as industrial vision measurement and complex surface detection.

The invention discloses a follow-up PIV boundary layer flow field test system and test method based on electrolytic hydrogen bubbles. The follow-up PIV boundary layer flow field test system comprises an integrated optical measurement module and a tracer particle generation module, the optical measurement module is arranged in the UUV and comprises a laser transmitter assembly, a sapphire prism and two imaging cameras which are symmetrically arranged, and laser sheet light forms a sheet light area on the outer surface of the UUV after being refracted by the sapphire prism; the tracer particle generation module comprises a cathode, an anode and a power supply unit, the cathode is a platinum wire array composed of a plurality of platinum wires arranged in the axial direction of the UUV, and the platinum wires are located at different heights away from the wall face of the UUV; the power supply unit selectively electrifies the platinum wire, independently adjusts the voltage, controls the number and frequency of generated hydrogen bubbles, and achieves the synchronous measurement of flow field information at different thickness positions of a boundary layer. According to the invention, boundary layer flow field in-situ follow-up measurement and synchronous fine measurement of different thickness positions under the condition of not changing the UUV shape are realized, and the device has the advantages of high integration level, small flow field disturbance, high measurement efficiency and the like.

The invention relates to the technical field of coupling alignment of single-mode optical fibers, in particular to an optical fiber coupling alignment method and system based on wavefront aberration and a sensitivity matrix. The system comprises an optical measurement module, a processing and control module and a multi-axis precision adjustment platform, and the alignment method comprises the steps that firstly, an interference fringe image is obtained and processed through an interference light path, continuous wavefront is recovered through Fourier transform and phase unwrapping, and a Zernike coefficient for quantizing wavefront distortion is obtained through Zernike polynomial fitting. A sensitivity matrix representing the linear relation between the degree-of-freedom adjustment amount and Zernike coefficient changes is established and serves as a physical guide item to introduce a speed updating formula of a particle swarm optimization algorithm, an SG-PSO algorithm is formed, a particle swarm is guided to conduct directional intelligent search and rapidly output the optimal adjustment amount, and finally a multi-axis precision adjustment platform is driven to complete alignment. According to the method, optimization of wavefront sensing and physical model guiding is effectively fused, and the convergence speed, the alignment precision and the global search capability are remarkably improved.

The application provides a three-dimensional profile synchronous scanning measurement method of a lens module, and relates to the technical field of lens detection. The method comprises the following steps: constructing a three-dimensional profile measurement system, and measuring a lens module to be measured based on the three-dimensional profile measurement system; calibrating a line confocal sensor to determine the corresponding relationship between the actual position of a lens in the lens module and the corresponding point in the light strip profile image captured by a high-speed camera assembly; adjusting the distance between the optical measurement module and the lens module to be measured to a focusing position through a Z-axis motion assembly; driving the lens module to be measured to move according to a planned path through an XY motion assembly, and simultaneously acquiring the light strip profile image of the entire lens module through the high-speed camera assembly; and performing data processing on the light strip profile image of the entire lens module to generate a three-dimensional profile image of the lens module. The application effectively solves the requirement of fast and accurate measurement of the three-dimensional profile of the lens module.

The invention relates to the technical field of LED display testing, in particular to an LED screen backlight module performance testing system which comprises the steps that a model identification code of a module to be tested is received, a corresponding standard optical parameter set is called, and initial driving current is applied. Actual optical signals driven by different currents are collected through a light sensing probe array and converted into a digital optical measurement value set containing brightness and color coordinate values of multiple sampling points. Comparing the brightness measurement value with a target brightness value point by point to generate a brightness consistency deviation matrix; and judging the color coordinate measurement value and the target range, and generating a color coordinate qualified identifier list. And calculating an actual brightness uniformity value according to the deviation matrix, and comparing the actual brightness uniformity value with a standard threshold value. And if the actual brightness uniformity value reaches the standard and the color coordinates of all the sampling points are qualified, generating a module qualification judgment instruction. According to the system, automatic and high-precision comprehensive evaluation of brightness space uniformity and chromaticity consistency of the backlight module is realized.

The invention belongs to the technical field of side slope monitoring, and relates to a high-precision side slope monitoring device and method based on a measuring robot, and the device comprises a displacement target which is fixedly disposed on a side slope to mark a monitoring point; the measuring robot is used for performing optical measurement on the displacement target to obtain slope displacement data; the supporting structure is used for fixing the measuring robot; the displacement monitoring module is arranged in the supporting structure and is used for monitoring the displacement change of the supporting structure in real time so as to obtain the displacement data of the supporting structure; and the data processing unit is used for performing correction calculation by combining the slope displacement data and the support structure displacement data in the same coordinate system to determine the absolute displacement of the slope. According to the invention, a slope monitoring point is marked by using the displacement target, the measurement robot carries out optical measurement to obtain slope displacement data, meanwhile, the GNSS module monitors the displacement change of the supporting structure in real time, and data correction calculation is carried out in the same coordinate system to determine the absolute displacement of the slope.

The application discloses an indoor water tank sediment starting speed measurement system and method, and aims at solving the technical problem of sensor disturbance to a flow field and influence on data accuracy in the prior art measurement method.The technical scheme core is that the non-contact measurement characteristics of the PIV technology are applied to the whole process from flow field construction to data acquisition.The device is mainly composed of an imaging unit, a laser illumination unit, a movable sliding frame, a water flow adjusting unit and a buffer plate.Optical measurement is performed through the imaging unit and the laser illumination unit, and physical sensors do not need to be arranged in the flow field, so that the interference of the measuring instrument on the water flow structure and the sediment starting process is fundamentally avoided.The integrated movable sliding frame integrates the sediment laying, particle throwing and measurement functions, and is convenient for quickly positioning a test area;in combination with the buffer plate and the water inlet and drainage adjusting unit, a gradually changing flow field from weak to strong can be accurately and stably simulated.

The invention relates to a centrifugal compressor PIV speed measurement and analysis method, device and equipment and a medium. The method comprises the following steps: acquiring flow field optical measurement data of the centrifugal compressor through a particle image velocity measurement technology; inputting optical measurement data of the flow field into a deep learning model, and extracting dynamic characteristics of the flow field through a characteristic extraction layer of the deep learning model; reconstructing the dynamic characteristics of the flow field into a three-dimensional flow field velocity vector field by using a velocity vector reconstruction layer in the deep learning model; and generating a velocity measurement analysis result based on the three-dimensional flow field velocity vector field. By adopting the method, the multi-scale dynamic characteristics in the complex three-dimensional rotating flow field of the centrifugal compressor can be effectively captured, high-precision three-dimensional velocity vector reconstruction is realized, and the spatial resolution and robustness of flow field measurement are improved.

The invention discloses a Shack-Hartmann wavefront detector centroid calculation method and related equipment, and relates to the field of optical measurement, and the method comprises the steps: obtaining a light spot array grayscale image, detecting the local maximum value of each light spot, and dividing sub-aperture image regions corresponding to micro lenses one by one according to the local maximum value; extracting a gray matrix of each sub-aperture image region, respectively determining one-dimensional regions of a light spot main lobe in row and column directions, and intersecting to obtain a main lobe region; a main lobe area is deducted from the sub-aperture image area to form a threshold calculation area, and the maximum gray value of the threshold calculation area is selected as a threshold; and performing threshold reduction on pixels in the sub-aperture image area, setting a negative value to zero, and calculating the position of the mass center of the light spot based on the processed image. According to the method, sub-aperture adaptive threshold and local background removal are realized, weak light spot information loss caused by a unified threshold is avoided, and the precision of centroid calculation and wavefront restoration is improved.

The invention provides an out-of-focus lens microlens diopter measurement method, system, medium and device, and relates to the technical field of optical measurement, and the method comprises the steps: placing a to-be-measured out-of-focus lens on a rotary table; controlling a Z-axis motion guide rail to drive a line measurement sensor to move, and determining a path scanning zero point; the rotary table is controlled to rotate at a constant speed, and the X-axis movement guide rail and the Z-axis movement guide rail drive the line measurement sensor to move so as to obtain point cloud data of the upper surface of the to-be-measured out-of-focus lens; performing conversion, fitting and data extraction on the point cloud data to obtain a two-dimensional profile curve of each micro lens unit included in the to-be-measured defocus lens; and calculating the diopter of each micro-lens unit according to the two-dimensional profile curve of each micro-lens unit. According to the method, independent quantitative evaluation of the additional diopter of the microstructure is realized, and the defects that the macroscopic diopter and the microstructure diopter cannot be separated by a lensometer and the macroscopic diopter and the microstructure diopter are difficult to accurately disassemble in an existing non-contact technology are overcome.

The invention belongs to the technical field of optical measurement and civil engineering monitoring, and provides a wireless binocular vision structure three-dimensional displacement measurement method and system. Wireless hardware-level synchronous trigger acquisition of the left camera and the right camera is realized by using high-precision time information and PPS signals output by the GNSS time service module; in the initialization stage, feature matching is only completed on clouds on the left and right first frames, and a tracking target is issued, and in the operation stage, lightweight template matching and sub-pixel precision positioning are executed by the edge end, and only pixel coordinates are uploaded; and the cloud end carries out triangularization on the coordinates in combination with a projection matrix obtained through calibration, solves the three-dimensional displacement of the target in real time and provides a result service. According to the invention, wiring difficulty and data transmission bottleneck in a wide baseline scene are avoided, flexible adjustment of the baseline width of the camera is supported, bandwidth and storage overhead are significantly reduced, three-dimensional displacement measurement precision and system reliability in a long-distance scene are improved, and the method is suitable for long-term online monitoring of large-scale structures such as bridges and high-rise buildings.

The invention relates to a non-Lambert surface emissivity inversion method, belongs to the technical field of infrared optical measurement and radiation modeling, solves the technical problems of low precision and poor model stability of non-Lambert surface emissivity inversion, and comprises the following steps: measuring original radiation intensity of a non-Lambert surface of a to-be-tested material in different emergent directions; converting the original radiation intensity into directional reflectivity; on the basis of the generalized Lorentz function, diffuse reflection background items are superposed, and a physical prior model is constructed; physical constraint is carried out on the physical prior model parameters; the parameter residual network generates a parameter field, and the parameter field is input into the optimized physical prior model; and carrying out hemispherical integration, and converting the directional reflectivity into directional-hemispherical emissivity. The device and the method are used for infrared thermal imaging measurement, material radiation characteristic characterization and engineering detection in a complex environment.

A method having the steps of measuring a geometry of a toothing using an optical measuring system, wherein a numerical aperture of the optical measuring system is adjustable and the numerical aperture of the optical measuring system is adapted depending on at least one geometric parameter of the toothing to be measured and / or is enlarged or reduced.

A portable, multimodal dental diagnostic device for assessing the vitality of the dental pulp, consisting of: a detachable diagnostic component comprising a variety of probes, including the following: a heat probe configured to deliver controlled heat stimuli to a tooth surface and measure the heat response of the dental pulp; an electrical probe configured to deliver low-voltage electrical pulses to the tooth surface and measure the electrical impedance of the dental pulp; and an optical probe configured to assess blood oxygen saturation and microcirculation in the dental pulp using near-infrared light; a microcontroller unit configured to process sensor data from the thermal probe, the electrical probe and the optical probe, to calibrate measurements based on the oral base temperature and the ambient conditions, to aggregate multimodal sensor data and to control the operation of the thermal probe, the electrical probe and the optical probe; a cloud platform configured to receive and store aggregated sensor data, run artificial intelligence algorithms to analyze multimodal sensor data and generate diagnostic insights that include vital signs and diagnostic probabilities; a user application that is communicatively connected to the cloud platform and configured to wirelessly receive aggregated sensor data, display detailed diagnostic reports with vital signs and trends to the user, integrate with electronic health data systems, and issue alerts in case of abnormal readings; a wireless communication module connected to the microcontroller unit, configured to transmit the aggregated sensor data to the cloud platform; a display interface configured to show real-time feedback from the probes, including vitality assessments and sensor readings; and a main body containing the microcontroller unit, a rechargeable power supply and the display interface, wherein the rechargeable power supply can be charged via the current provided through a charging port on the main body, and wherein the main body is also equipped with on / off and start / stop switches; the device is configured to provide a non-invasive, quantitative real-time analysis of dental pulp health by combining physiological responses from thermal, electrical, and optical measurements.

A method for measuring airflow wall surface friction relates to the field of wind tunnels, aims to solve the problem that shear stress in a wind tunnel experiment is difficult to dynamically measure at high precision, and comprises the following steps: S1, in an initialization stage, spraying or dripping silicone oil at a measuring point position on the surface of a model, spreading the silicone oil into an oil film layer, arranging a multi-channel spectrum confocal sensor array at the measuring point position on the surface of the model, focusing points of all the channels are symmetrically arranged in a focal plane according to the geometric center, and the distance between the focusing points is smaller than or equal to 2 mm; s2, in a test stage, starting a wind tunnel, and after the wind speed is stable and reaches a test working condition, collecting spectral data through a multi-channel spectral confocal sensor with the collection frequency being greater than or equal to 10Hz; s3, data processing: converting the spectral data into an oil film thickness value, and calculating an oil film thickness derivative through a difference method; and S4, according to the oil film thickness derivative, calculating a shear stress component through an oil film equation. The method has a good application prospect in the fields of fluid mechanics test, precision optical measurement and the like.

The invention relates to the technical field of optical measurement, and discloses a biaxial galvanometer error calibration method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining a camera internal reference containing an internal reference matrix and a distortion coefficient through a calibration board; establishing an ideal geometric transformation model of the biaxial galvanometer, and defining a first galvanometer transformation matrix determined by the rotation angle of the first galvanometer and the first distance and a second galvanometer transformation matrix determined by the rotation angle of the second galvanometer and the second distance; installing error parameters are introduced, and a complete coordinate transformation model used for describing a complete light path transformation relation from an actual camera coordinate system to a final imaging coordinate system is formed; calibration data are collected, galvanometer system parameters and installation error parameters are optimized based on re-projection errors, re-projection residual errors are constructed, the re-projection residual errors are minimized through a nonlinear optimization algorithm, and optimal parameters are obtained. The installation error can be accurately calibrated and effectively compensated.

The invention discloses an underwater long-distance scanning system based on an active calibration plate and a calibration method thereof, and relates to the technical field of underwater optical measurement and three-dimensional reconstruction, the underwater long-distance scanning system comprises a laser emission module which is carried on a bow part of an underwater vehicle and is composed of a laser, a galvanometer I and a galvanometer II, the first galvanometer is used for scanning a point laser beam into a line laser, a line laser scanning effect is formed, and then the second galvanometer is used for changing the angle of the line laser. The active calibration plate adopts an active light-emitting design, each light-emitting point serving as a circular calibration feature point can be independently lightened and covered with frosted glass to soften light, the signal-to-noise ratio of the feature points in an image can be increased, the problems of weak natural light, serious water absorption and scattering interference in an underwater environment are solved, and in combination with a circular light spot form, the calibration accuracy is improved. The coordinate of the circle center is conveniently and accurately extracted in image processing, high-precision feature positioning is realized, and a reliable feature data basis is provided for light plane fitting and system calibration.

The invention relates to a structured light illumination confocal super-resolution measurement system and method, and relates to the technical field of optical measurement. The system comprises a digital micromirror device (DMD), a sample platform, an electric displacement platform, a microscopic imaging assembly, a complementary metal oxide semiconductor (CMOS) imaging assembly and computer equipment, and the DMD is used for adjusting the point light source array and the structured light field. According to the DMD-based confocal super-resolution measurement method, a structured light field and a signal-noise separation technology are combined, and high-precision and high-resolution three-dimensional surface reconstruction can be realized. By using the flexibility of the DMD and the advantages of the super-resolution technology, the spatial resolution and speed of confocal imaging are effectively improved, so that the measurement process is more accurate. In addition, low-rank decomposition and self-supervised deep learning methods are fused, the image reconstruction process is optimized, noise interference is suppressed, and the overall performance of the system is further improved.

According to an aspect of the present inventive concept there is provided a laser system for generating a frequency modulated continuous wave, FMCW, light signal, the system comprising: a tunable laser for generating the FMCW light signal; an optical measurement unit configured to receive a portion of the FMCW light signal, and to output, via an optical hybrid coupler, at least two angle diversity signals based on a difference between a first and second signal formed by splitting the portion of the FMCW light signal wherein the second signal is delayed relative to the first signal, wherein a pair of signals of the at least two angle diversity signals have a fixed phase shift relative to each other; and a control unit configured to: receive the at least two angle diversity signals, estimate, based on the at least two angle diversity signals, a compensation needed for adjusting a non-linearity of a frequency chirp of the tunable laser, and output a corresponding control signal to the tunable laser, wherein the control signal is configured to improve a linearity of the frequency chirp.

The invention discloses a multifunctional asphalt mixture rut test method which is implemented by using a device integrating loading and measurement, test piece supporting and temperature control drainage, environment simulation and optical measurement and a central control and data acquisition system. A test piece is arranged in the test piece groove, temperature control is realized through circulating a heat-conducting medium in the temperature-conducting cavity, different gradients are formed through the hoisting mechanism and the angle adjusting assembly, the test wheel is driven to perform one-way circulating loading along a closed track and snub at a preset moment, and rolling and sliding friction forces are synchronously collected; in the test process, rainfall is simulated by adopting the watering assembly, incoming water is recycled by the drainage tank, speckle images are acquired by the high-frequency industrial camera, and surface full-field displacement and strain are obtained through digital image correlation analysis. Through time registration and fusion of temperature, gradient, wheel speed, rainfall and friction-deformation data, rut deformation, skid resistance and apparent structure evolution laws of the asphalt mixture under multi-climate and multi-gradient conditions are obtained.