512 results about "Three dimensional measurement" patented technology

The invention belongs to the technical field of machine vision and precision measurement, and particularly discloses a non-contact part arc parameter high-precision measurement method and system, and the method comprises the following steps: S1, constructing a three-dimensional measurement mobile platform; s2, establishing a dynamic scanning reference; s3, performing spatial pose optimization based on the three-dimensional morphology characteristic parameters of the part, and driving a moving guide rail to dynamically scan the surface of the part to obtain a three-dimensional point cloud image of the part; s4, cutting and screening the point cloud image to obtain an arc region point cloud image; s5, preprocessing the point cloud image of the arc region; s6, carrying out dimension reduction processing; s7, outputting a circle center position vector and a radius calibration value to determine a corresponding circle center coordinate and a radius parameter; s8, constructing a radial deviation evaluation function; and S9, judging that the measured part meets the standard. The non-contact part arc parameter high-precision measurement method and the non-contact part arc parameter high-precision measurement system have the advantages of high precision, high efficiency, automation and the like, and are suitable for arc parameter detection of complex curved surface parts.

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 discloses a fringe projection three-dimensional shape measurement method based on frequency domain and time domain joint coding, and the method comprises the following steps: firstly, embedding a multi-frequency three-step phase shift fringe pattern in the vertical direction based on multi-scale region division, introducing four-step phase shift and complementary Gray code joint coding in the horizontal direction, generating a coding pattern set, and carrying out the projection; after an image is collected, frequency domain transformation and time domain decoding are carried out respectively, and a vertical dominant frequency position, a horizontal period number and a wrapped phase are obtained; then, combining a main frequency position in the vertical direction with a period number and a wrapped phase in the horizontal direction, and extracting a space coordinate of a direct illumination component based on frequency position invariance; and finally, establishing a pixel homonymy point mapping relation between the projector and the camera, and realizing high-precision three-dimensional reconstruction. Compared with a traditional frequency shift method, the method has the advantages that projection patterns are greatly reduced, reconstruction precision and anti-interference performance are improved, and the method is suitable for dynamic three-dimensional measurement under complex illumination conditions such as specular reflection, semitransparent shielding and subsurface scattering.

The invention relates to the technical field of large-size part three-dimensional measurement, and discloses a large-size part three-dimensional size measurement method and device based on machine vision, and the method comprises the steps: obtaining a material reflection characteristic reference data set and original point cloud data; according to the reference data set, laser power and gain are adjusted in a self-adaptive mode, and optimized scanning parameters are obtained; and performing denoising, feature extraction, region segmentation and plane fitting according to the optimized parameters and the original point cloud to obtain a high-precision geometric dimensioning result. According to the invention, high-precision, high-stability and high-efficiency three-dimensional size measurement can be realized on a large-size part made of a complex material and having a curved surface, and the three-dimensional size measurement method is obviously superior to a traditional scheme.

The invention discloses a high-reflective surface defect detection method based on structured light and phase deflection, which belongs to the technical field of visual inspection, and comprises the following steps: generating a multi-frequency sinusoidal grating pattern by using a structured light module, and projecting the multi-frequency sinusoidal grating pattern to the surface of a detected object; multi-frequency phase shift coding is introduced, an absolute phase is calculated through a pilot frequency unwrapping method, a depth map obtained by the structured light is calculated, and a structured light point cloud is reconstructed; a unit normal vector is calculated, a Poisson reconstruction model is adopted to obtain a depth map obtained by phase deflection, and deflection point cloud is obtained; the structured light point cloud data and the deflection point cloud data are registered through an iterative nearest point algorithm and then fused to form a fused depth map; and determining a defect area by adopting the maximum principal curvature and the minimum principal curvature combined mask. By means of the mode, the limitation of a traditional three-dimensional measurement means in high-reflection and complex-curvature surface defect recognition is solved, and submicron-level three-dimensional deformation detection precision is achieved.

The invention discloses a wine jar interior three-dimensional measurement device and a wine jar interior three-dimensional modeling method, and relates to the technical field of three-dimensional modeling, the wine jar interior three-dimensional measurement device comprises a fixed cover, a movement mechanism and a three-dimensional information acquisition mechanism, the fixed cover is used for being fixed at a wine jar opening; the movement mechanism is movably connected to the fixed cover; the three-dimensional information acquisition mechanism comprises a conical laser, a first connecting column and a first camera which are connected in sequence, the first camera is connected to the movement mechanism, and the conical laser is located at the position away from the movement mechanism; the movement mechanism is used for driving the conical laser and the first camera to move along the axial direction of the wine jar; the conical laser is used for emitting conical laser to the inner wall of the wine jar, and the first camera is used for collecting a laser image of the laser projected on the inner wall of the wine jar; according to the technical scheme provided by the invention, the modeling efficiency can be improved while the modeling cost is reduced.

The invention discloses a pipeline inner wall panoramic three-dimensional scanning device and a measuring method, and the device comprises a panoramic plane laser generator which comprises a point laser generator, an axicon, a laser focusing lens, a conical surface reflector and a transparent cylindrical support, and is used for transmitting a 360-degree panoramic plane laser beam to the inner wall of an object to be measured; according to the invention, single-exposure full-circumferential high-precision three-dimensional measurement is realized, and the device can synchronously obtain complete three-dimensional point cloud data of the circumference of the inner wall of the whole pipeline at the moment of single exposure through innovative combination of a panoramic annular imaging system and a panoramic planar laser projection technology; the method has the advantages that axial rotary scanning or multi-view data splicing required by a traditional method is avoided, measurement efficiency is improved, splicing accumulative errors are avoided, laser stripe image acquisition is complete and free of breakpoints, and completeness and accuracy of three-dimensional reconstruction data are guaranteed from the source.

The invention provides a complex heterogeneous molded surface three-dimensional vision measurement method and system, and the method comprises the following steps: (1), extracting part design model features through a semantic segmentation and intelligent recognition method, and building a to-be-measured feature set; (2) a three-dimensional measurement viewpoint planning method based on reinforcement learning is adopted to obtain a viewpoint sequence and a motion path; (3) when the local measurement system reaches a preset viewpoint, a self-adaptive single-pixel imaging feature matching method is adopted for mutual reflection and semitransparent molded surfaces; for other molded surfaces, a parameter adaptive fringe projection three-dimensional measurement method is adopted to obtain a single-viewpoint three-dimensional point cloud; (4) converting the single-viewpoint three-dimensional point cloud into a global coordinate system to realize three-dimensional point cloud splicing; (5) traversing each viewpoint of the viewpoint sequence, and executing the steps (3) and (4) to obtain a multi-viewpoint spliced three-dimensional point cloud; and (6) based on the point cloud error estimation, fusing the multi-view three-dimensional point cloud. The problem of accurate acquisition of the three-dimensional point cloud of the complex heterogeneous molded surface is solved.

The invention relates to the technical field of three-dimensional measurement, and discloses a coating thickness measurement method and system based on a multi-source sensor, and the method comprises the steps: obtaining and fusing point cloud data of the multi-source sensor, and constructing a three-dimensional curved surface model of a component through curvature analysis and normal vector estimation; calculating an optimal incident angle of the sensor relative to each area of the curved surface based on the model, and generating a dynamic attitude adjustment parameter; according to the parameters, the three-axis attitude of the sensor is adjusted in real time for signal acquisition, and original measurement data are obtained; frequency domain analysis is carried out on the original data to diagnose reflection distortion, and correction is carried out in combination with time domain filtering and spatial domain smoothing; and finally, calculating a thickness value in combination with the three-dimensional model, detecting and repairing a data missing region by using Fourier transform and an interpolation algorithm, and generating a complete thickness distribution diagram. According to the invention, high-precision and automatic measurement of the thickness of the complex curved surface coating is realized.

The invention belongs to the technical field of three-dimensional shape measurement, and discloses a three-dimensional measurement method for a non-Lambert metal surface, which comprises the following steps of: projecting polarization coding structured light on the non-Lambert metal surface, synchronously acquiring reflection images and ambient light noise data, and removing light noise from each reflection image to obtain a non-Lambert metal surface; extracting and calculating the light intensity value, the light polarization value and the light deflection angle of each pixel point in different polarization states, constructing a grayscale image to distinguish a high polarization point from a low polarization point, marking mirror reflection and diffuse reflection areas, resolving a phase field based on the processed reflection image, and correcting the phase jump; a continuous phase field and polarization reflectivity characteristics are combined to input a double-branch network model, the model is fused and optimized, a control point coordinate matrix and a weight matrix are output, an NURBS curved surface is constructed for defect detection, a high-precision three-dimensional surface shape is reconstructed, and the problems of reflection interference, dynamic efficiency and industrial adaptation in non-Lambert metal surface three-dimensional measurement are systematically solved. And a solution is provided for high-precision industrial detection.

The invention discloses a multi-robot cooperative measurement method and system based on crowd intelligence emergence, and aims to solve the problems of single-point fault, poor environmental adaptability and insufficient expandability in the existing centralized and pre-planned multi-robot cooperative measurement method. According to the method, a shared digital environment cooperatively and jointly maintained by all robots through decentration is constructed, a decentration task decision-making mechanism based on digital pheromones is introduced, each measurement robot is used as an autonomous agent, and the concentration of the digital pheromones dynamically determined by the quality of measurement data in the shared digital environment is sensed, so that the concentration of the digital pheromones in the shared digital environment is determined. Measurement target decisions are made independently. According to the method, a robot cluster for multi-robot cooperative measurement can spontaneously emerge a globally optimal cooperative measurement behavior without a central control node, so that the robustness, the adaptability and the expandability of a measurement system are remarkably improved, and efficient and reliable three-dimensional measurement of a large component is realized.

The invention relates to a linear structured light sensor polarization correction method and system based on reflected polarized light, and the method comprises the steps: obtaining the reflected light intensity of the surface of an object at different polarization angles, calculating a Stokes vector according to the reflected light intensity, building a mapping relation between the reflected light intensity and an incident angle based on the Fresnel law, and correcting the polarization of the linear structured light sensor. Obtaining a light intensity maximum value and a light intensity minimum value; calculating a linear polarization degree based on the maximum light intensity value and the minimum light intensity value, and obtaining an optimal laser incident angle based on the linear polarization degree and the refractive index of the object; constructing a polarization optimization model of a polarization angle and an incident angle by using a Stokes vector, and solving an optimal polarization angle; and acquiring a light stripe image of the polaroid at the optimal polarization angle, and performing polarization correction on the light stripe image based on a Stokes vector to realize three-dimensional measurement of an object. According to the invention, errors caused by factors such as light intensity, incident angle and image quality are effectively reduced, and the measurement precision is greatly improved.

The invention belongs to the technical field of three-dimensional measurement, and discloses a power transmission line icing volume measurement method, system and device, a medium and a program product, and the method comprises the steps: employing a binocular camera to shoot and correct an icing power transmission line view, and obtaining internal and external parameters, performing depth estimation on the power transmission line view based on the corrected power transmission line view and the internal and external parameters, training a conductor detection model and inputting the corrected power transmission line view to obtain a detection frame and a corresponding confidence coefficient, using the detection frame with the highest confidence coefficient as a prompt, inputting the prompt and the corrected power transmission line view into an SAM2 network for segmentation, and obtaining a segmentation result; de-noising and morphological processing are carried out on the masks of the ice-coated wires, and finally the ice-coated area of the power transmission line is calculated. The system, the equipment and the medium are used for implementing the method. The program product comprises a computer program for implementing the method; the method for measuring the icing volume of the power transmission line has the effects of stability, reliability, high efficiency, accuracy and high safety.

The invention discloses a boiler expansion indication three-dimensional remote transmission measurement method, system and equipment and a medium, and belongs to the technical field of boiler monitoring, and the method comprises the steps: obtaining the real-time distance data of a to-be-measured part of a boiler in a first direction, a second direction and a third direction through a measurement device disposed on the to-be-measured part of the boiler; according to the real-time distance data and preset reference distance data when the boiler does not expand, the expansion amount of the boiler component to be measured in the first direction, the second direction and the third direction is determined; converting the swelling amounts in the first direction, the second direction and the third direction into standard signals; and sending the standard signal to a monitoring system for display. According to the invention, high-precision three-dimensional measurement, automatic data remote transmission and intelligent analysis and early warning based on data are realized, so that the measurement precision and reliability are improved, automatic monitoring and graded early warning are realized, and intelligent diagnosis can be carried out to distinguish real abnormity and measurement interference.

The invention discloses an underwater high-speed three-dimensional measurement method based on stripe structured light, and relates to the technical field of underwater optical three-dimensional imaging, in an underwater operation scene of an FPP system, projecting a three-step phase shift sine stripe and a Gray code pattern to an object to be measured, and respectively calculating a wrapped phase 1, a wrapped phase 2 and an auxiliary order phase; analyzing the light intensity information received by the camera, and carrying out water body influence analysis in combination with an underwater light transmission model; the initial wrapped phase divides the order phase into a stable region and a non-stable region, the stable region is combined with the wrapped phase 1 to calculate a preliminary absolute phase, and the non-stable region is combined with the wrapped phase 2 to calculate an absolute phase through an island processing method. According to the method, a phase bisection complementary decoding strategy is adopted, a jump error region in an order phase is effectively identified and corrected by constructing complementary wrapped phase information, a wrong order phase is corrected by using a noise correction algorithm, and the measurement stability in a dynamic scene is remarkably improved.

The invention relates to the technical field of aviation digital measurement, solves the technical problems of low quality, more redundant viewpoints and insufficient global optimization capability of three-dimensional measurement viewpoint generation in the prior art, and particularly relates to a three-dimensional measurement viewpoint planning method for overall aircraft appearance detection. Comprising the following steps: discretizing the point cloud of the whole aircraft and generating an initial candidate viewpoint set; constructing a viewpoint observation quality comprehensive evaluation function, and performing multi-dimensional comprehensive evaluation on the initial candidate viewpoint set; screening the initial candidate viewpoint set by using a self-adaptive non-maximum suppression algorithm; and carrying out multi-objective optimization on the viewpoint set by adopting an improved alternating evolution genetic algorithm, and finally obtaining an optimal viewpoint set with coverage integrity and quality superiority. According to the method, the observation quality and the viewpoint compactness are considered on the premise that the coverage rate is guaranteed, the viewpoint generation automation and efficiency are remarkably improved, and the method can be conveniently popularized to actual measurement tasks of different models and engineering sites.

The invention discloses a compensation method for attitude change of a line laser three-dimensional reconstruction system, and relates to the field of three-dimensional measurement. The method solves the problem that after an existing line laser three-dimensional reconstruction system shoots a camera calibration picture, after the posture is changed due to the influence of the external environment, three-dimensional reconstruction cannot be carried out on a measured target through an original calibration result, and the method comprises the steps that the structure and the initial posture of the line laser three-dimensional reconstruction system are determined, shooting a camera calibration image and a laser plane calibration image; performing camera internal parameter calibration and laser plane calibration on the image, and storing an internal parameter matrix and a laser plane equation of the camera; using an attitude sensor to collect attitude transformation matrixes before and after displacement; combining the attitude transformation matrix to obtain a camera external parameter matrix of the line laser three-dimensional reconstruction system after position and attitude updating; the displacement direction of the system is calibrated, linear laser scanning is performed, a laser stripe image is shot, and three-dimensional reconstruction is performed in combination with a compensation algorithm. The method is also suitable for the field of linear laser stripe image reconstruction.

The invention relates to the technical field of composite material digital detection, in particular to a composite material skin grinding amount calculation method based on clustering analysis and a symbolic distance field, which specifically comprises the following steps: acquiring three-dimensional measurement data of the surface of a composite material skin, and designing a three-dimensional measurement point feature descriptor; based on the feature descriptors, a clustering analysis algorithm is designed, and a grinding area three-dimensional measuring point class and a non-grinding area three-dimensional measuring point class are divided; aiming at the three-dimensional measuring points of the non-grinding area, carrying out implicit curved surface reconstruction based on a radial basis function; aiming at the three-dimensional measuring point of the grinding area, a grinding area symbol distance field is constructed, and the symbol distance is the grinding amount of the measuring point; according to the method, the problem that in the prior art, profile tolerance estimation cannot be obtained during aircraft CAD mathematical model is solved, the grinding allowance of the aircraft skin repairing area can be accurately analyzed, and aircraft maintenance personnel are guided to conduct grinding. Compared with a traditional method for judging the profile tolerance based on manual touch, the method has the advantages that interference of human subjective factors is eliminated, the grinding allowance is quantified, and the precision is higher.

The embodiment of the invention discloses an MEMS structured light high-precision three-dimensional measurement method, device and equipment and a medium. The method comprises the following steps: determining first orthogonal phase distribution information of a to-be-measured target according to a surface stripe image; determining a first space linear equation of the fitting projection light of the preset projection phase; coordinates of the first space linear equation are converted to obtain a second space linear equation, a projection device coordinate system is established according to the first space linear equation, and a mapping model of the deviation angle and the projection phase is determined based on the corresponding relation between the second space linear equation and the preset projection phase; mapping the phase to obtain a first offset angle; and determining the to-be-measured target point cloud based on the first deviation angle to obtain a three-dimensional coordinate. According to the invention, the method does not depend on a high-precision calibration plate, builds the incidence relation between the phase and the angle and the ray mapping model, accurately represents the projection characteristics of the projection device, and solves a technical problem that the precision is not high when three-dimensional measurement is carried out based on an MEMS structured light system.

The invention relates to the technical field of optical three-dimensional measurement and metering, and discloses a single-camera three-dimensional coordinate measurement method and system based on full-field distance measurement, and the method comprises the following steps: S1, building a calibration field containing a control point, shooting an image of the calibration field through a monocular camera, extracting the image coordinate of the control point, carrying out the camera calibration, and obtaining a calibration field; obtaining internal parameters and external orientation parameters of the camera; and S2, controlling the laser range finder to aim at the control point in the calibration field through the non-orthogonal double-axis turntable. Submillimeter-level high-precision measurement can still be realized under the condition of a short baseline, and the problems that the precision in the depth direction is insufficient, the baseline requirement is long, parameters are easy to drift and the like in traditional stereoscopic vision measurement are effectively solved. By introducing a non-orthogonal double-shaft turntable and a visual guidance laser aiming mechanism, autonomous, rapid and accurate measurement of multiple measurement points in a large field of view is realized, and the automation degree and reliability of measurement in a complex environment are remarkably improved.

The invention belongs to the technical field of litchi planting, and particularly relates to a high-precision three-dimensional measurement method in a litchi growth process, before an experiment is started, calibration marks are fixed on branches to ensure precise scaling of a three-dimensional model, the marks are always visible in an imaging process, and during data acquisition, the calibration marks are not visible. A 360-degree imaging strategy is adopted for part of branches to obtain complete multi-view coverage; in the data preprocessing stage, background elimination is carried out based on a collaborative image segmentation method of Ground DINO and SAM2, precise litchi main body extraction is realized, an improved Compact-2DGS method is provided, a redundant Gaussian unit is eliminated through a novel stability perception elimination strategy, efficient storage compression is realized, and the method has the advantages of high efficiency and high efficiency. And the two-dimensional rendering quality and the three-dimensional reconstruction precision are synchronously improved in combination with a GStex optimization technology. By tracking the maximum width, height and volume of the fruit cluster determined in the reconstructed three-dimensional model, the growth rule of the litchi fruit of the seven branches is analyzed.

The invention discloses a precise mold micropore size feature measurement method, which comprises the following steps: S1, parameter initialization: reading a mold RFID tag to obtain a nominal hole depth H and a curvature radius R, and calculating an initial interlayer spacing dz0 = 0.1 H; s2, dynamic optical scanning: irradiating the surface of the micropore with a radial polarization annular light source, and detecting polarization angle deviation in real time through a polarization sensor; s3, layered image reconstruction: performing wavelet packet denoising on the image output in S2; s4, three-dimensional measurement: mapping the virtual edge coordinates output in S3 to a three-dimensional space; s5, diameter calculation and verification: calculating a horizontal diameter and a vertical diameter line by line in effective lines in the step S4; and S6, outputting a result. The laser incident angle is regulated and controlled in real time through polarization feedback, closed-loop compensation is performed on reflection distortion in combination with a mold curvature radius parameter, the measurement error of the diameter of a curved surface micropore is reduced from + / -8 microns to + / -1.5 microns, and curved surface self-adaptive accurate detection is achieved.

The invention relates to the technical field of numerical control machine tool calibration, in particular to a five-axis machine tool RTCP parameter automatic measurement method, which adopts a measurement device of a multi-mode sensor to automatically identify and position a calibration block with a coding structure, and establishes a high-precision measurement reference coordinate system through multi-source data fusion and registration. The system generates a multi-attitude measurement sequence based on an optimization algorithm, automatically controls the measurement device to carry out multi-space attitude three-dimensional measurement on the feature points of the calibration block, and synchronously collects the environment temperature, the main shaft rotating speed, the vibration value and the working state. Measurement data is subjected to multi-stage anomaly judgment and redundancy calculation, RTCP parameters of the five-axis machine tool are automatically output, and the accuracy and stability of the parameters are guaranteed through a self-checking mechanism. Parameters are automatically written into a numerical control system, and automation of the whole process of measurement, data management and tracing is achieved. The method is high in precision, high in efficiency and high in applicability, manual dependence is reduced, and the intelligent and automatic calibration level of the five-axis machine tool is improved.

The invention discloses a non-contact pig body size measurement method and system based on a laser radar and point cloud segmentation, and belongs to the technical field of intelligent breeding and three-dimensional measurement, and the method comprises the steps: collecting pig point cloud data through the laser radar; carrying out data preprocessing on the acquired point cloud data of the pigs; constructing a point cloud segmentation model, and performing point cloud segmentation on the pig point cloud data after data preprocessing; and based on the pig point cloud data after point cloud segmentation, positioning key points and calculating pig body size data. The problems that a traditional depth camera is small in view field, poor in synchronism, low in point cloud segmentation precision and the like are effectively solved, measurement of the pig body size under the natural posture is achieved, the measurement precision and stability are improved, the measurement coverage range is expanded, the adaptability of the model to complex scenes is enhanced, meanwhile, operation is simpler, more convenient and more efficient, and the method is suitable for popularization and application. The non-contact automatic measurement is realized, the efficiency is improved, and the pig stress is also avoided.

A projection method based on the three-dimensional scanning projection line of the structured light relates to three-dimensional information reconstruction technology field and comprises: switching different projection image groups periodically or randomly in three-dimensional measurements, to collect a plurality of continuous projection image groups (S101); projecting several images of the projection image group onto a surface of an object to be measured (S102); imaging projection images projected onto the surface of the object to be measured to obtain imaged images (S103); and decoding the imaged images and determining a corresponding relation between respective imaging positions and projection positions, to provide three-dimensional information for reconstructing the surface of the object to be measured (S104).

The invention belongs to the technical field of underwater vision measurement, and relates to an underwater binocular vision system refraction parameter self-calibration method, which comprises the following steps of: firstly, constructing a space equation containing a water body refractive index, a refraction interface normal vector, an interface distance and a light path coefficient based on a Snell law; constructing a generalized state vector including an environment parameter, a structure parameter and a path parameter; a system residual equation is established by using different-plane light intersection constraint of binocular vision, and nonlinear iterative least square solution is carried out by constructing a generalized Jacobian matrix so as to realize adaptive calibration of an underwater vision system; according to the method, on the premise that water body parameters do not need to be predicted and high-precision mechanical calibration is not needed, the water body refractive index and the system structure parameters are synchronously solved, self-adaptive calibration of the underwater vision system is achieved, and the three-dimensional measurement precision and robustness in the complex water environment are remarkably improved.

The invention relates to a metal workpiece three-dimensional measurement method and system based on adaptive polarization projection, and the method comprises the steps: obtaining linearly polarized light projected by a projector, and enabling the polarization state information of the linearly polarized light to be embedded into a four-step phase shift sine stripe model, and obtaining a global polarization coding stripe image; obtaining a uniform horizontal polarization response image, comparing the gray value of each pixel in the uniform horizontal polarization response image with a set threshold value, constructing a binary depolarization model according to a comparison result, and mapping the binary depolarization model to a projector coordinate system to obtain a depolarization model in the projector coordinate system; encoding values of corresponding pixel coordinates in the global polarization encoding stripe image are modulated through a depolarization model, and an adaptive polarization encoding image is obtained; and obtaining a modulated stripe image and carrying out phase calculation to realize three-dimensional measurement of the metal workpiece. According to the method disclosed by the invention, the efficiency and precision of measuring the complex metal workpiece are improved while the robust stability is ensured.

The invention relates to the technical field of optical imaging and three-dimensional measurement, in particular to a multispectral structured light path system which comprises a light source module used for generating multi-wavelength light; the collimation system module is composed of any one of one or more lenses, and an aperture diaphragm is arranged on the first face. When the system is used, a multispectral light source design is adopted, the system can meet the three-dimensional measurement requirements of various complex material surfaces, the system adaptability is conveniently and remarkably improved, the image contrast is enhanced through multi-wavelength structured light projection, and the measurement precision is improved. The method effectively reduces the mismatching rate, improves the precision and reliability of three-dimensional reconstruction, achieves the simultaneous obtaining of multispectral information and structured light three-dimensional shape information, expands the application capability of the system in the high-end fields of material recognition, surface defect detection and the like, employs an integrated optical path design, is compact in structure, is high in reliability, and is suitable for large-scale popularization and application. And miniaturization and engineering application of the system are facilitated, and the portability and practicability of the equipment are improved.

The invention provides an automatic scanning and measuring method for a blade margin plate gap, and belongs to the technical field of industrial machining.The automatic scanning and measuring method comprises the steps that a corresponding relation between a workpiece and a machine coordinate system is established by constructing a three-dimensional measuring coordinate system, and a laser scanning measuring head is adopted for conducting full-circumferential automatic scanning to obtain high-density point cloud data; fitting a gap curved surface by using a least square method, calculating geometric deviation, constructing a multi-dimensional error compensation vector field of a spatial position, an optical system, material thermal expansion and the like, establishing an airflow model based on fluid mechanics, and analyzing airflow characteristics through a numerical solution and analytical solution method. A measurement problem is converted into a traveling salesman problem, an improved ant colony algorithm is applied to optimize a scanning path, gap uniformity analysis is carried out, a gap curve is decomposed through Fourier series expansion to recognize an abnormal rule, a comprehensive evaluation report is finally generated, and the core problem that the measurement precision is affected by multi-dimensional errors is solved.

The invention relates to the technical field of industrial visual inspection, in particular to a 3D (three-dimensional) gluing glue type defect detection method based on three-dimensional measurement, which comprises the following steps: firstly, acquiring a point cloud by using three-dimensional measurement equipment, carrying out manifold pretreatment, constructing a substrate plane by fitting substrate data, and separating the point cloud of a glue strip based on the plane; secondly, extracting a geometric skeleton, searching a physical extreme point by using an isotropic spherical neighborhood, and decoupling the dependency of feature extraction and a slice direction; calculating a path differential attribute and an offset vector relative to a substrate plane, constructing a dimensionless centrifugal deformation index, and correcting a geometric tangent vector according to the dimensionless centrifugal deformation index to generate an anisotropic slice normal vector; and finally, obtaining a dynamic section based on the corrected normal vector, and quantifying defects by utilizing curvature mutation characteristics. According to the method, the geometric frame is corrected by constructing the dimensionless physical field, so that the section projection error caused by centrifugal force and gravity is effectively eliminated, and the detection precision of complex track 3D coating is remarkably improved.