55 results about "Speckle pattern" patented technology

This invention discloses a method and system for real-time stress monitoring during laser additive repair of fatigue long cracks in turbine casings. The method includes: preparing a high-temperature resistant speckle pattern in the pre-treated repair area; simultaneously acquiring a sequence of speckle images and a sequence of temperature field images during the laser repair process; calculating the strain field based on digital image correlation and calculating the real-time stress evolution using thermo-elastic-plastic stress-strain increment theory. The real-time stress value is compared with a dynamic threshold set based on the material's yield strength, and the laser power or scanning speed is controlled based on the feedback of the result to achieve closed-loop control of the repair stress. This invention achieves high-precision real-time online monitoring of stress under extreme repair environments, providing a basis for optimizing and intelligently controlling repair process parameters, effectively suppressing residual stress and the risk of secondary cracks, and significantly improving the repair quality and reliability of turbine casings.

This invention discloses a three-dimensional contour measurement method and apparatus based on multi-projection gratings, relating to the field of three-dimensional topography measurement technology. The method includes: obtaining intrinsic and extrinsic parameters through calibration; projecting a set of speckle patterns; preliminarily analyzing the surface topography gradient of the object to determine a non-uniform spatial frequency sequence; sequentially projecting and acquiring multiple sets of phase-shifting grating patterns, and calculating the wrapping phase map corresponding to each frequency; for the same pixel, based on its reliability assessment in wrapping phase maps at different frequencies, assigning confidence weights to the phase values ​​of each frequency, and calculating and optimizing the phase map and the corresponding fused confidence map; calculating gradient information and combining it with the fused confidence map to perform region division, and executing a region-guided path consistency verification unfolding algorithm to obtain the absolute phase; converting the absolute phase into three-dimensional point cloud coordinates of the object surface. This application aims to solve the problems of complex topography, discontinuities, and noise easily leading to unfolding path errors and order jumps during phase unfolding.

A method for measuring the surface roughness of an object, wherein this method is: a) Receiving a speckle image showing an object while it is being irradiated by coherent electromagnetic radiation associated with wavelengths between 850 nm and 1400 nm, b) Determining the surface roughness measurement based on the speckle image, c) To provide the measurement value of the surface roughness, Includes.

This application provides a vibration element measurement device, comprising: a laser assembly for illuminating the test area of ​​the vibration element under test, wherein the surface of the vibration element under test located in the test area is provided with speckle patterns; two camera assemblies, respectively arranged on both sides of the test area of ​​the vibration element under test, for capturing speckle images of the vibration element under test during its movement; and a gimbal, on which the two camera assemblies are mounted, the gimbal being used for off-axis focusing of the camera assemblies. By arranging the two camera assemblies on both sides of the test area of ​​the vibration element under test and using the gimbal for off-axis focusing, the two camera assemblies can achieve full-field focusing of the test area of ​​the vibration element under test, thereby acquiring clear speckle images of each speckle pattern, thus achieving accurate measurement of the three-dimensional displacement and / or strain of the vibration element under test.

The present invention achieves a technique for removing speckle appearing in an OCT image using a small number of OCT-captured images. In an OCT image processing method (S1), at least one processor executes: SCCP processing (S11) for repeatedly calculating a shift conjugate product, which is a product of complex interferogram data of an object under measurement obtained by irradiating the object under measurement with coherent incident light and a complex conjugate image of shifted image data generated by shifting the complex interferogram data in a predetermined direction by a predetermined shift amount, multiple times while varying the shift amount; averaging processing (S12) for averaging real part data of the multiple shift conjugate products; and imaging processing (S13) for imaging and outputting the averaged real part data.

The application discloses a structured light emission module and a self-calibration method and device thereof and a medium, relates to the technical field of optical three-dimensional perception, and is applied to a preset integrated structured light emission module, and comprises the following steps: synchronously turning on working light sources and calibration light sources in a VCSEL array under current working parameters; wherein the working light sources are projected to a working area of a metasurface diffractive optical element after being collimated by a preset collimating optical system, so as to generate a working speckle pattern for three-dimensional detection; the calibration light sources are projected to a calibration area of the metasurface diffractive optical element after being collimated by the preset collimating optical system, so as to generate a preset reference pattern; an actual reference pattern generated by the calibration area is collected by using an embedded detector, the actual reference pattern is compared with the preset reference pattern, and a pattern deviation is obtained; a temperature drift compensation amount is calculated based on the pattern deviation and module temperature data collected by a temperature sensor; and the current working parameters of the VCSEL array are adjusted according to the temperature drift compensation amount.

The application discloses a kind of combustion chamber component residual strain measurement method and device, it is related to gas turbine technical field.The method includes: preparing speckle pattern on the surface of combustion chamber component test piece;Reference image is collected before test, and the space pose of image collection module and ambient light parameter are recorded;The thermal test is carried out to test piece;After test, the recorded parameters are strictly reproduced, and deformation image is collected;Based on digital image correlation algorithm, reference image and deformation image are compared and analyzed, and surface residual strain distribution is obtained.The application solves the technical problems that residual strain is difficult to separate and full-field quantitative measurement after thermal test, realizes non-contact, high-precision, repeatable residual strain measurement, and provides key data support for evaluating combustion chamber component life and reliability.

The application relates to a kind of robot end effector multiscale clamping force control device and method based on DIC, wherein the method comprises the following steps: S1, obtaining multiscale signal, collecting multiscale speckle image: S2, processing multiscale data and extracting features, image is processed by power platform multi-thread;S3, mapping multiscale physical quantity and constructing model, power platform is associated with multiscale feature and parameter and builds layered model;S4, control multiscale closed loop and adjust real-time, power platform uses layered adaptive algorithm to adjust PWM parameter.The application can consider non-contact sensing, multiscale modeling and real-time control, and break the force control bottleneck of robot soft body end effector.

This invention provides a battery temperature measurement method and device based on multimode optical fiber, belonging to the field of battery optical fiber sensing technology. This method aims to solve the problems of limited monitoring range, difficulty in achieving distributed measurement, and high system complexity and cost of existing battery temperature measurement technologies. The technical solution involves deploying multimode optical fiber on or inside the battery. During battery charging and discharging, optical signals are injected into the optical fiber, and the output speckle image is acquired, along with the battery's voltage and current data. Subsequently, the speckle image and electrical data are input into a preset temperature calibration model for processing, thereby obtaining the battery's temperature information. The advantages are: distributed temperature measurement with spatial resolution on or inside the battery can be achieved using only a single optical fiber; the structure is simple, the cost is low, and it is resistant to electromagnetic interference; combined with deep learning models and battery operating condition data, the accuracy and intelligence of temperature measurement are significantly improved, providing a reliable means for battery safety monitoring.

This invention belongs to the field of optical fiber communication and optical imaging technology, specifically a spatial mask optimization method for speckle reconstruction in multimode optical fibers. The method includes: using a laser to output monochromatic coherent light, modulating the image to be transmitted onto the incident light field through a spatial light modulator, injecting it into a multimode optical fiber, and acquiring a speckle image at the fiber output end; calculating a normalized radial cumulative energy function on the speckle image to determine the truncation radius; constructing a spatial mask, including a hard mask, a soft mask, and a multi-ring weighted mask; multiplying the mask pixel-by-pixel with the speckle image to obtain a preprocessed speckle image, which is used as input to a downstream image reconstruction model; periodically recalculating the normalized radial cumulative energy function and automatically updating the truncation radius to adapt to changes in fiber state. This invention effectively improves training efficiency while maintaining reconstruction accuracy by removing low signal-to-noise ratio peripheral regions; it can automatically track changes in fiber state and adapt to environmental drift during engineering deployment.

The application provides an absolute flow velocity quantification method and device for laser speckle blood flow imaging, an electronic equipment and a storage medium. The method comprises the following steps: acquiring an original speckle image sequence of a sample to be measured; performing physical enhancement preprocessing on the original speckle image sequence to construct a double-channel space-time tensor containing spatial structure and time fluctuation information; inputting the double-channel space-time tensor into a trained domain adversarial regression network to extract domain-invariant features irrelevant to tissue background; and based on the domain-invariant features, an absolute blood flow velocity value of the sample to be measured is calculated by regression. The combination of physical enhancement preprocessing and the domain adversarial regression network realizes a leapfrog quantitative measurement of laser speckle blood flow imaging from a relative blood flow index to an absolute flow velocity. Meanwhile, the gradient reversal layer guided domain adversarial mechanism effectively filters out tissue background interference, and the migration learning strategy realizes rapid adaptation of the model in a complex physiological environment, thereby providing a full-view, non-contact and high-precision new method for blood flow monitoring.

The application discloses a laser speckle deformation thermodynamic displacement measurement method and system based on DL-SpeckleNet, and belongs to the cross technical field of optical measurement and deep learning. The method first constructs a multi-medium laser speckle image dataset under a temperature gradient of -50 DEG C to 800 DEG C and completes fine annotation, and after pretreatment such as gray scale conversion, joint denoising and data enhancement, a DL-SpeckleNet light-weight network is constructed by fusing a multi-scale feature extraction module and an attention enhancement unit; stress and strain reference data are generated by a MATLAB-ncorr algorithm, cross-validation is completed by a Python-ncorr algorithm, and the network is trained with the reference data as labels; a laser speckle interference experiment platform is built to collect measured data; finally, the pretreated speckle image to be measured is input into the optimized model, numerical output of thermodynamic displacement and visualization of stress and strain nephograms are realized, the environmental dependence of the ncorr algorithm is broken, high-precision and rapid measurement of material thermodynamic displacement in an extreme environment is realized, and the method is suitable for thermodynamic coupling deformation detection in the fields of aerospace and material science.

This invention discloses a dynamic scattering medium imaging method based on Mamba channel feature dependency and dual-domain learning, belonging to the field of scattering medium imaging technology. It employs a ScatMamba network with an encoder-decoder architecture to extract initial features from speckle images formed by dynamic scattering media. Multi-scale high-level semantic features are extracted through downsampling and channel filtering enhancement of the Mamba module, and frequency domain global feature modulation is achieved using a spectral modulation module at the encoder bottleneck layer. The decoder fuses multi-scale features through upsampling and skip connections, outputting a clear reconstructed image. End-to-end training is completed using a spatial-frequency dual-domain composite loss function. This invention achieves joint modeling of channel feature dependency and spatial long-range dependency through channel filtering and enhanced Mamba layers, utilizes a spectral modulation layer for adaptive control of high and low frequency components, and strengthens the robustness of the reconstruction mapping through a dual-domain loss function. This enables efficient decoupling of speckle features in dynamic scattering environments, restoring the global structure and fine texture of the target.

This application provides a method, device, system, and medium for monitoring blood perfusion. The method includes: acquiring a speckle image sequence of the tissue region to be monitored based on a laser emitted to it; acquiring ambient light information corresponding to the speckle image sequence and motion information between adjacent speckle images in the speckle image sequence; performing anti-interference processing on the speckle image sequence based on the ambient light information and the motion information between adjacent speckle images to obtain a corrected speckle image sequence; calculating the spatiotemporal joint speckle contrast of the corrected speckle image sequence to obtain a spatiotemporal joint speckle contrast; determining the blood perfusion parameters of the tissue region to be monitored based on the spatiotemporal joint speckle contrast using a pre-established mapping model between speckle contrast and blood perfusion parameters; and outputting a warning message when the blood perfusion parameters meet preset warning conditions. This method aims to improve the accuracy of blood perfusion monitoring.

The application provides a pedestrian detection method and system based on severe weather, equipment and medium, belonging to the technical field of data processing. The method comprises: acquiring a modulated light field sequence and a corresponding light intensity signal sequence; the modulated light field sequence is generated according to a plurality of sequentially arranged speckle patterns, the modulated light field sequence comprises a plurality of modulation patterns, and the light intensity signal sequence is time-synchronized with the modulated light field sequence; inputting the modulation patterns of the modulated light field sequence and the light intensity signal sequence into a target detection model, performing feature encoding and correlation calculation on the two sequences through a backbone network of the target detection model to obtain a correlation feature map representing light field correlation information; and obtaining a pedestrian detection result in the target area based on the target detection model and the correlation feature map. The application improves the efficiency and accuracy of pedestrian detection in severe weather.

The application further provides a full-vector laser speckle displacement detection method, device and system integrated with a YOLO image recognition model, comprising the following steps: step S1: continuously collecting a reference speckle image before displacement and a deformed speckle image after displacement; step S2: performing feature conversion processing on the collected speckle image; step S3: recognizing and extracting the pixel interval of the interference fringes or the pixel offset of the correlation peaks; step S4: extracting the pixel interval of the interference fringes or the pixel offset of the correlation peaks; step S5: inputting the original spatial domain speckle image sequence before and after displacement into a direction discrimination model of a CNN-SVM fusion architecture in parallel to obtain the absolute direction of displacement; and step S6: vector synthesizing the displacement scalar size and the absolute direction of displacement to output a complete two-dimensional displacement vector. The technical scheme can automatically, in real time and accurately recognize the fringe interval or the correlation peak interval.

An X-ray microscopy system and method for phase contrast and dark-field imaging utilize a partially coherent X-ray beam generated by a micro-focused X-ray source with a small focal spot size. A spatial beam modulator such as a random phase object, e.g., silicon carbide sandpaper, is placed between the source and the sample to create a random granular speckle pattern. The system employs a high-resolution detection setup with a thin scintillator and a spatially resolved detector with small pixel size to capture shifts in the speckle pattern caused by the sample's refraction effects. By analyzing these shifts, the system computes phase gradients and integrates them to produce detailed phase images, enhancing contrast in low-atomic-number materials like soft tissues and polymers. The compact design reduces source-to-detector distance, improving flux efficiency and system throughput while enabling high-resolution, three-dimensional tomographic imaging.

The application discloses an AI analysis-based tear film state monitoring system and an intelligent glasses dry eye early warning method, relates to the technical field of image processing, and comprises a pattern projection module, an ocular surface image acquisition module and a highlight suppression image generation module; the AI analysis-based tear film state monitoring system provided in the application collects eyelid edge region images by projecting a near-infrared laser speckle pattern, uses the near-infrared laser speckle pattern as a source texture, and generates a highlight suppression image by predicting a distortion field to guide the deformation of the source texture, thereby completing highlight repair; the feature information loss problem caused by the non-fixed position of the highlight reflected by the tear meniscus mirror is relieved, and stable imaging of the meibomian gland opening area under a dynamic ocular surface environment is realized.

This invention discloses a scattering imaging device system based on Transformer and CNN, including a speckle image acquisition device, a deep learning image restoration method, and a speckle image restoration method. The speckle image acquisition device includes a laser, lens A, lens B, a spatial light modulator, a target image, an objective lens, a scattering medium, another objective lens, a CMOS camera, and a computer. The outputs of the spatial light modulator and the CMOS camera are connected to the computer via wires and simultaneously controlled by a Matlab program to continuously capture and collect speckle images. The speckle image restoration system includes a speckle image restoration network based on the PyTorch framework and using Transformer and CNN. Previous methods for scattering imaging using deep learning mainly relied on convolutional neural networks for speckle image reconstruction. Convolutional neural networks offer excellent performance and outstanding feature extraction capabilities.

This invention provides a wireless remote control DIC calibration device, comprising: a support assembly, a calibration adjustment assembly, and a calibration plate clamp. The support assembly includes a support body, an upper circular groove, an azimuth adjustment shaft, and a docking square groove. The upper circular groove is formed on the upper surface of the support body. Compared with the prior art, this invention has the following advantages: By setting up the support assembly, calibration adjustment assembly, and calibration plate clamp, the support assembly is connected and fixed to the testing machine, so that the calibration plate required for testing is clamped and fixed by two sets of calibration plate clamps. During use, the host computer sends commands cyclically according to a preset angle list, and the calibration plate is adjusted to different positions through the azimuth adjustment shaft and the pitch adjustment shaft. Each time an angle is reached, the camera is triggered to acquire speckle images from no less than 12 angles, completing the calibration of the camera's intrinsic and extrinsic parameters. After the test is completed, the support assembly can be easily disassembled, thereby enabling multi-position calibration.

Embodiments of the present application provide a kind of laser speckle contrast image correction method, device and system, it is related to image processing technical field.The method includes: obtaining multiple speckle images;According to each speckle image, determine light intensity distribution diagram;Determine the original speckle contrast image of target speckle image;According to light intensity distribution diagram, determine local light intensity variation coefficient diagram, wherein each pixel point in local light intensity variation coefficient diagram is used to indicate the variation coefficient of pixel intensity in the neighborhood of pixel point in light intensity distribution diagram;According to the value of each pixel point in local light intensity variation coefficient diagram, the value of pixel point in corresponding position in original speckle contrast image is corrected, to obtain corrected speckle contrast image and output.Selecting the present application, can reduce the influence of uneven illumination on laser speckle image, so that blood flow image luminance is uniform and contrast is accurate, to improve the accuracy of blood flow velocity estimation.

The application discloses a method and device for simulating the post-waving buckling deformation of a cold-rolled thin wide strip, and comprises the following steps: determining the size of a cold-rolled thin strip sample and the deformation area and size thereof, determining the base plate material and the initial heating final temperature based on the size of the deformation area, determining the size of the base plate, cutting the cold-rolled thin strip sample with good plate shape and drawing an original speckle pattern, performing original speckle quality evaluation, calibrating the original speckle based on the calibration plate after the quality is qualified, heating the base plate and the thin strip sample to the heating final temperature, bonding the connecting surface of the thin strip sample and the base plate through a rolling coating mechanism, observing and recording the data of the bonded thin strip sample through a high-speed camera, and determining the photographing trigger condition according to the temperature interval, and processing the recorded data. The obtained results can be used for the research on the elastic buckling theory and the plate shape control.

This invention discloses a single-camera, multi-view canopy wind field detection method and system based on optical deflection. By adjusting the reflector, the observation optical paths of the direct-view channel and the reflected channel converge at the center of the flow field to be measured, forming an angle, thereby enabling the simultaneous acquisition of a speckle image sequence using a single camera. Temporal speckle sub-maps are obtained through calibration and image segmentation; displacement is calculated using digital image correlation and converted into a light deflection field; semantic segmentation and spatiotemporal joint completion processing are performed to address plant foliage occlusion, resulting in a complete deflection observation field; a tomographic model is established based on three-view geometry and ray tracing to reconstruct the refractive index gradient field, thereby inverting the static pressure field; finally, a physical information neural network is constructed, integrating static pressure observations and fluid dynamics equation constraints to achieve four-dimensional spatiotemporal continuous inversion of wind speed, direction, and pressure inside and outside the plant canopy. This invention has a compact structure and simple deployment, making it suitable for three-dimensional wind field detection and near-real-time analysis during agricultural pesticide application.

This invention provides an automatic measurement method and system for the elongation of stainless steel laser welds. The automatic measurement method for stainless steel laser weld elongation includes: sample preparation and image acquisition; performing DIC analysis on the acquired image sequence to obtain a full-field strain cloud map, and obtaining the full-field displacement field and longitudinal strain field of the sample during the tensile process based on the full-field strain cloud map; weld region identification and width measurement to obtain the weld width; extracting strain from multiple virtual gauge lengths to form multiple sets of data; establishing a linear relationship between the overall elongation and the proportion of weld width; performing linear fitting on the multiple sets of data based on the linear relationship to obtain a coefficient proportional to the weld elongation; and obtaining the weld elongation based on the proportional coefficient. By preparing micron-level random speckle patterns and using a sub-pixel DIC algorithm to perform high-precision full-field strain analysis on the weld region, the method achieves high-efficiency, high-precision, and automated measurement of millimeter-level ultra-narrow weld elongation.

This invention discloses an argon-ion polishing method for preparing μ-DIC micro-pit speckle patterns adapted for EBSD detection. The method includes: performing a first argon-ion polishing on a mechanically polished metal sample to remove the mechanical damage layer on the sample surface; and performing a second argon-ion polishing on the metal sample after the first argon-ion polishing to form micron-scale pit speckle patterns for μ-DIC detection on the sample surface. Images are then acquired using a metallurgical microscope or scanning electron microscope at an appropriate magnification to obtain speckle patterns that can be directly used for DIC calculation. This invention constructs micro-pit speckle patterns on the surface of a metal sample through two argon-ion polishing processes, adapting to the requirements of combined μ-DIC and EBSD measurements. These speckle patterns maintain structural and adhesion stability during strain testing, while the sample preparation process completely eliminates the mechanical damage layer on the sample surface. This allows for direct use in EBSD crystallographic analysis, enabling quasi-in-situ or in-situ combined detection of micro-strain analysis and crystallographic analysis in the same detection area. It features high sample preparation efficiency and low cost.

An expert system is trained to predict wavefront information (e.g., phase(s) and / or amplitude(s)) from a speckle pattern (also referred to as a speckle intensity image) due to the interference created by propagation through a multimode fiber (MMF). Once trained, the expert system allows modal amplitude(s) and / or phase(s) in a light signal applied to a proximal end of a MMF to be detected from the output speckle intensity image at the distal end of the MMF. This system works for broad-band light and does not require restricted symmetry properties of the modal input light.

This invention provides a method, apparatus, and system for correcting laser speckle contrast images, relating to the field of image processing technology. The method includes: acquiring multiple speckle images; determining a light intensity distribution map based on each speckle image; determining an original speckle contrast image of the target speckle image; determining a local light intensity variation coefficient map based on the light intensity distribution map, wherein each pixel in the local light intensity variation coefficient map represents the variation coefficient of pixel intensity in the neighborhood of the pixel in the light intensity distribution map; correcting the values ​​of corresponding pixels in the original speckle contrast image based on the values ​​of each pixel in the local light intensity variation coefficient map, obtaining and outputting a corrected speckle contrast image. Using this application can reduce the influence of uneven illumination on laser speckle images, resulting in more uniform brightness and accurate contrast in blood flow images, thereby improving the accuracy of blood flow velocity estimation.

This invention discloses a method for three-dimensional measurement of irregular particles based on dual-angle defocused interferometric images. A dual-angle laser interferometric image acquisition system is constructed to acquire defocused interferometric images I1 and I2 corresponding to the two detection angles of the irregular particle being measured. Defocused speckle images M1 and M2 are extracted. Reconstructed two-dimensional shape images L1 and L2 are obtained from the defocused speckle images M1 and M2. The reconstructed two-dimensional shape images L1 and L2 are smoothed and thresholded to extract the contour region of the irregular particle, resulting in two-dimensional shape contour region images K1 and K2. Pixel alignment processing is performed on the two-dimensional shape contour images K1 and K2 to obtain smoothed and pixel-aligned dual-angle two-dimensional shape images J1 and J2. Three-dimensional shape reconstruction is performed by projecting the contour images to obtain the three-dimensional point cloud H of the irregular particle to be recovered. This invention has better robustness compared to focused images.

This invention discloses a fringe phase retrieval method based on untangling theory-driven deep learning, belonging to the field of optical detection. The method includes: generating absolute phase labels based on a random number sequence; obtaining the original speckle image, wrapped phase labels, and wrapped count labels based on the absolute phase labels; constructing training and validation datasets; constructing a dual-task coupled network model based on a convolutional neural network and a composite loss function; training the dual-task coupled network model using the training dataset, validation dataset, and composite loss function; inputting the original fringe image to be processed into the trained dual-task coupled network model, and outputting the absolute phase result after fringe phase retrieval. This invention achieves unified end-to-end processing of speckle removal, fringe analysis, phase unwrapping, and phase retrieval, significantly improving the accuracy, robustness, and interpretability of the phase retrieval results under scenarios with noise, uneven illumination, complex backgrounds, and varying fringe density.