147 results about "Optical distortion" patented technology

The invention discloses a deviation rectification control method and system for simulating shield excavation, and relates to the technical field of shield control. The deviation rectification control method and system for simulating shield excavation comprise the steps that S1, shield deviation rectification data are collected in real time, and the shield deviation rectification data are preprocessed; s2, extracting an attitude deviation component, comprehensively evaluating environmental drift and optical distortion influence of attitude deviation, and generating each calibrated attitude angle; s3, all the calibrated attitude angles are read, attitude correction required values in all directions are calculated in combination with the laser target deviation value, the dynamic fluctuation degree of the execution process is quantified, and the target stroke of the deviation correction oil cylinder is obtained; and S4, the target speed is calculated, a deviation rectification control instruction is generated and issued for execution, a deviation rectification execution data set is formed, and a deviation rectification control closed loop is completed. The problems that an existing system lacks an automatic calibration and anomaly recognition mechanism, sensing data distortion still participates in deviation correction control, PLC attitude calculation errors are accumulated, and false deviation correction is generated are solved.

The invention relates to an optical distortion test system and method. According to the method, a light source assembly is used for outputting projection light; the target assembly is fixed in front of the projection light output end of the light source assembly. The to-be-tested assembly is located on the side, away from the light source assembly, of the target assembly and connected with the adjusting assembly. The adjusting assembly comprises a pitching adjusting sub-assembly, a horizontal adjusting sub-assembly, a height adjusting sub-assembly and an inclined sub-assembly, the pitching adjusting sub-assembly is used for ensuring that the to-be-detected assembly is perpendicular to the projection optical axis, and the horizontal adjusting sub-assembly and the height adjusting sub-assembly are used for ensuring that the optical center of the to-be-detected assembly is coaxial with the projection optical axis and the lens center of the detection assembly; the inclined sub-assembly is used for adjusting a space angle between an optical central axis of the to-be-detected assembly and a projection optical axis of the light source assembly so as to detect edge distortion of the to-be-detected curved surface element; the detection assembly is located on the side, away from the to-be-detected assembly, of the adjusting assembly and used for shooting a projection image of the target assembly which generates distortion after being acted by the to-be-detected assembly.

The invention relates to the technical field of industrial vision, in particular to an automobile part surface defect detection method and system based on machine vision, and the method comprises the steps: firstly loading a CAD three-dimensional model, and rendering an ideal fringe reflection map in a virtual environment; calculating an optical distortion correction matrix by comparing the phase distortion with the phase distortion of an actual initial reflection image, driving a programmable light source to project a compensation pattern, and generating a normalized reflection intensity image; signal object decoupling is achieved through multi-scale wavelet transform, and high-frequency components and low-frequency components are separated; homomorphic filtering is applied to the low-frequency component to construct a homogenized background model, the high-frequency component is reversely corrected, and a high-signal-to-noise-ratio defect signal image is output; generating a coarse segmentation mask by the high-frequency signal through an adaptive local threshold, generating a morphology anomaly mask by the low-frequency signal through Hessian matrix morphological analysis, and fusing to form a collaborative segmentation mask; and extracting multi-dimensional geometric attributes of connected domains in the masks, and inputting the multi-dimensional geometric attributes into a decision tree to realize accurate classification and confidence output of defects.

The invention discloses a self-adaptive spatial transformation network for cross-medium optical distortion, and solves the problem that the existing spatial transformation network is difficult to consider both global transformation and local nonlinear optical distortion. The network is integrated in a target detection model, and the method comprises the steps that firstly, a parameter prediction network synchronously outputs affine transformation parameters and a water surface fluctuation physical parameter diagram; then, the local distortion grid generation network generates a distortion sampling grid based on the parameter diagram and a predefined water surface fluctuation physical model; meanwhile, the grid generator generates an affine sampling grid according to the affine transformation parameters; then, a grid fusion device fuses the two grids to generate a final sampling grid; and finally, the sampler samples the input image or the feature map according to the final sampling grid to obtain an output image or a feature map. Through a space transformation mechanism guided by physical prior, optical distortion caused by water surface fluctuation can be effectively relieved, and the accuracy and robustness of a target detection model in a cross-medium underwater scene are remarkably improved.

The invention belongs to the technical field of optical system aberration analysis, and discloses an experimental device for measuring and correcting image distortion of an optical imaging system, which comprises an optical axis testing device and an optical distortion testing platform, and the optical distortion test platform is used for testing optical distortion of the optical imaging system to be tested and integrating optical distortion data with optical axis deviation to obtain an image distortion fitting coefficient and a distortion correction model of the optical imaging system. According to the invention, the image distortion of the optical imaging device can be measured, the image distortion can be corrected, the imaging device can correct the deviation between the optical axis and the center of the target surface when the system is installed and adjusted, the optical distortion of the whole optical system can be corrected, and the method has guiding significance for the application of detecting and identifying the accurate position of a target by using the optical system.

A system implements techniques for measurement and compensation of optical distortion by accessing a first image of a target object captured of via an imaging instrument, and repeating the process of moving the target object a known distance via an actuator and capturing other images of the target object after the target object has been moved a number of times until a plurality of images have been captured. A correspondence is then established between a feature of the first image and a corresponding feature of each of the other images to identify corresponding features in consecutive images and the coordinates of each pair of identified corresponding features is measured. The measured displacement vector between each pair of features is used to determine parameters for optical distortion of the imaging instrument which is then used to modify the first image to compensate for optical distortion, and output the modified image.

This invention discloses a machine vision-based method and system for dynamic screening and size detection of glass fiber particles, specifically relating to the field of glass fiber particle size detection. The method includes real-time monitoring of particle adhesion and dynamic adjustment of the vibration dispersing mechanism, further integrating vibration signals and image features for analysis, and correcting motion blur and refractive index distortion in the image to accurately measure the physical size of the particles. The machine vision-based method and system for dynamic screening and size detection of glass fiber particles achieves coordinated control of vibration and imaging by dynamically adjusting vibration parameters through the adhesion index, effectively solving the problem of lack of coordination between the vibration dispersing mechanism and the imaging mechanism. Through distortion correction algorithms, it compensates for motion blur caused by vibration and optical distortion caused by differences in glass fiber refractive index, reducing measurement distortion. Finally, through a reinforcement learning model, it minimizes size measurement errors while ensuring high dispersion.

The application provides an underwater robot obstacle avoidance system based on object capture. The method comprises the following steps: collecting spatial vision information of a target area where an underwater robot is located in real time; acquiring multi-modal environment data of the target area where the underwater robot is located; constructing a water body scattering model for correcting optical distortion in the spatial vision information by using Mueller matrix for polarization light data in the multi-modal environment data; acquiring real-time motion state of the underwater robot by using an inertial measurement unit; acquiring water flow disturbance data of the underwater robot, and correcting position drift in the real-time motion state caused by water flow disturbance by using a water flow model and the real-time collected water flow disturbance data; constructing a dynamic risk field corresponding to the target area based on the spatial vision information, the corrected real-time motion state and sonar ranging data in the multi-modal environment data; and generating an obstacle avoidance strategy of the underwater robot in a future preset period based on the dynamic risk field, so as to realize dynamic avoidance of obstacles.

The invention discloses an intelligent detection method and system for garment quality inspection, and relates to the technical field of computer vision and intelligent manufacturing. The method comprises the following steps: carrying out pixel-level feature analysis on two-dimensional image data, identifying a sewing line and a printing area, and mapping the sewing line and the printing area to a unified space coordinate system; reconstructing the three-dimensional surface form of the garment based on a stereoscopic vision algorithm, and calculating the dimensional deviation of key parts; converting the spectral data into a CIELAB color space, and carrying out optical distortion correction on local chromatic aberration in combination with a three-dimensional curvature; and under a unified space coordinate system, performing correlation analysis on the stitches, the dimensional deviation and the corrected space distribution, identifying a composite defect which cannot be judged by a single defect, generating a correlation defect identifier, and finally forming a quality report. The technical problems that in the prior art, local chromatic aberration is easily influenced by three-dimensional curved surface deformation and optical distortion of ready-made clothes, information such as dimensional deviation, sewing and printing defects and the local chromatic aberration is isolated, comprehensive correlation analysis is lacked, and consequently the detection accuracy is insufficient are solved.

The invention relates to the technical field of optical-mechanical-electrical integrated devices, and discloses a portable intelligent crack width testing device with a WiFi camera module, which comprises a mechanical part, an optical part, a WiFi camera module part, an intelligent measuring part and a traceability device for measuring results. Through the fixed structure design of two conjugate points (beta1 =-0.6 and beta2 =-1.667) with different multiplying powers of the optical part, the measurement of a small crack of 0.01 mm to a large crack of more than 10 mm can be realized without replacing an optical assembly, and the detection requirements of cracks with different widths in various scenes are met; the precision is differentially controlled according to cracks with different sizes, the measurement precision of small cracks within 5mm is not greater than + / -0.01 mm, and the precision of large cracks is not greater than + / -0.02 mm; meanwhile, the optical relative distortion is not greater than 0.5%, and the full field of view is Distlt; and the MTF value of the 0.8 field of view is not less than 0.3 under 135lp / mm, so that imaging distortion and detail loss are reduced, measurement data are ensured to be accurate and reliable, and accurate data support is provided for engineering safety quality evaluation.

The invention discloses an optical view field expansion and dynamic distortion compensation method for light field display, and particularly relates to the technical field of light field display, and the method comprises the steps: determining a configuration scheme through building a collaborative structure parameter model of a microlens array and a free-form surface optical element; then, the focal length distribution of the micro-lens array and the curvature distribution of the free-form surface optical element are adjusted, so that the expansion of an optical view field is realized; acquiring light information in an expanded view field range by using a wavefront sensor, and establishing an optical distortion mathematical model; calculating wavefront error distribution based on an optical error inversion algorithm and generating a compensation control signal; and adjusting response parameters of the optical element according to the compensation control signal, correcting the light wavefront, feeding back the corrected light field information to update wavefront error distribution, and iteratively generating a new compensation control signal. According to the invention, a light field display field angle can be effectively expanded, distortion after field expansion is reduced, and good application compatibility is achieved.

The invention discloses a method for repairing abnormal curvature of curved glass, which comprises the following steps of: positioning a main repairing area, and identifying a compensation area of a new defect caused by heat conduction by adopting a prediction model. In the repairing process, through the synergistic effect of the main heat source and the auxiliary heat source, parameters of the main heat source and the auxiliary heat source are adjusted according to a global temperature field monitored in real time, management of the thermodynamic state in the repairing process is achieved, and the problem that the temperature field is uneven due to local heating is solved. The technical problem that new profile tolerance is out-of-tolerance or optical distortion is induced while original curvature abnormity is repaired is solved, and it is ensured that the shape precision and the optical performance of the repaired curved glass are synchronously improved.

The invention relates to the technical field of industrial control, and particularly discloses an intelligent visual measurement and control analysis system for a resin separation interface, which is characterized in that firstly, through image acquisition and HSV (hue, saturation, value) color space transformation, interface characteristics are accurately positioned in a complex illumination and window dirty environment by utilizing a hierarchical semantic segmentation technology; further, according to the scheme, a traditional linear perspective mapping model is abandoned, a light path refraction compensation mechanism based on the Snell law is constructed, interface pixel coordinates are converted into a sight incident angle, the nonlinear lateral displacement is calculated in combination with the window glass thickness and the refractive index, and therefore the real physical height for eliminating optical distortion is reconstructed. Based on the high-precision data, the system generates a control instruction through a PID strategy to drive a field valve, and precise closed-loop automatic control over the resin regeneration process is achieved.

The application discloses a visible light wide-band long-focus lens, a camera module and a terminal device. The visible light wide-band long-focus lens comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens and a sixth lens which are sequentially arranged along an optical axis from an object plane to an image plane; one of the first lens, the second lens, the third lens, the fourth lens, the fifth lens and the sixth lens is an ultra-surface lens, and the rest lenses are all spherical surface lenses; the application combines the five spherical surface lenses with the one ultra-surface lens, and cooperates the lens materials and optical powers, so that the total optical length of the lens is effectively compressed, and the miniaturization and light weight design is realized. Meanwhile, the relationship among the relative illumination RI , the effective area size of the ultra-surface lens D M and the optical distortion value D 0 is optimized, so that the long-focus lens has the ability of high resolution and low aberration, and especially realizes the advantages of high-resolution imaging in the visible light wide-band range.

This application provides an image distortion correction method and an apparatus. The method includes: performing optical distortion correction on a collected source image, to obtain a first corrected image, where the first corrected image includes a background region and a portrait in which stretching deformation occurs, and the portrait in which stretching deformation occurs includes at least a first human body region in which stretching deformation occurs and a second human body region in which stretching deformation occurs; and performing algorithm constraint correction on the first human body region, the second human body region, and the background region, to obtain a second corrected image, where constraint terms used for the algorithm constraint correction respectively constrain the first human body region, the second human body region, and the background region. In this way, the stretching deformation in both the first human body region and the second human body region is corrected, and for human vision there is no discontinuity in image content throughout the portrait in the background region. In this application, natural image distortion correction can be implemented, and therefore user experience is improved.

The invention discloses a laser film removing method and system for curved-surface coated glass. The method comprises the following steps: fixing a curved-surface glass workpiece subjected to hot bending forming; multi-angle images are collected through the CCD camera, and the control system generates a three-dimensional digital model matched with an actual curved surface through three-dimensional reconstruction; a three-dimensional scanning path containing X-axis and Y-axis tracks and Z-axis height is planned according to a preset film removing area and a three-dimensional digital model, spiral scanning is adopted, and the interval is smaller than or equal to 0.05 mm; and synchronously driving the 2D galvanometer and the dynamic focusing shaft to enable the laser beam to scan along the path and adjust the focal length in real time, so as to ensure that the laser focus is always focused on the surface of the film layer to remove the target film layer. By means of dynamic real-time tracking of the laser focus, laser energy acts on the whole film removing path accurately and evenly, film layer residues, base material damage and optical distortion caused by defocusing are eliminated, the diopter of a film removing area is smaller than or equal to 100 mdpt, the light transmittance is larger than or equal to 92%, and the requirement for high optical performance of an intelligent driving camera window is met.

The application discloses a kind of experimental correction method and system of optical deformation of density interface in density stratified fluid, method steps: S1, obtains the continuous original image of spherical particle cross-interface, control adjacent image particle displacement is not more than average pixel radius, set particle falling direction as y axis positive direction;S2, select the image i before particle enters interface, get y coordinate by profile, build the mapping array of corrected y' and original y;S3, select the i+n (n≥1, indicate that it is processed n image) image, get y coordinate and particle center by profile, determine particle center correction position according to mapping array, obtain its corrected y' by formula for specific line, add mapping array;S4, repeat S3 to obtain complete mapping array;S5, according to complete mapping array, correct subsequent image.The application constructs mapping array in stages to realize accurate correction, and can improve the reliability of related experimental image measurement data.

The invention discloses a zoom optical system, and relates to the technical field of optical systems, and the zoom optical system is provided with an object side and an image side which are correspondingly arranged along the direction of an optical axis. The zoom optical system comprises a first lens group with positive focal power, a second lens group with negative focal power, a third lens group with positive focal power, a fourth lens group with negative focal power, a fifth lens group with negative focal power, a sixth lens group with positive focal power and an image surface which are sequentially arranged from an object side to an image side, the second lens group, the third lens group, the fourth lens group and the sixth lens group are all movably arranged in the extension direction of the optical axis, the second lens group, the third lens group and the fourth lens group are used for zooming, the sixth lens group is used for focusing, and a light focus assembly of the zooming optical system is controlled within 350mm. Through the arrangement, the optical distortion range of the zoom optical system is controlled between-1.85% and 0.43%, so that the imaging quality of the zoom optical system is ensured, and the effects of large magnification, small size, large angle, small distortion and high imaging quality are achieved.

The invention relates to a Lucas-Kanade optical flow distortion detection method based on feature extraction. The method comprises the following steps: when a transparent part to be detected is not placed, putting a grid plate in front, and shooting the grid plate by using a camera to obtain an undistorted grid image; carrying out downsampling on the reference grid and the distortion grid at the same time, then extracting feature angular points from the reference grid and the distortion grid respectively, and carrying out deformation field calculation corresponding to the points; and mapping a calculation result to an original image layer, and carrying out secondary optical flow calculation to obtain an accurate deformation field so as to calculate optical flow distortion. The measurement method is simple, easy to operate and high in measurement speed, and solves the problems that the measurement speed is low and the measurement precision is poor when the optical distortion of the heterogeneous composite transparent part is measured.

The embodiment of the invention provides an anti-fouling method, an anti-fouling device and electronic equipment. The method comprises the following steps: acquiring a running track of pollutants; according to the moving track and the position information of a vehicle sensor, determining the first time when the pollutant reaches the vehicle sensor; when the second time is reached, starting a protective measure to execute antifouling operation on the vehicle sensor; wherein the second time is earlier than the first time. According to the embodiment of the invention, the collision event can be pre-judged in advance, antifouling is executed, the problem of optical distortion of the sensor can be avoided, and millisecond response and sensing continuity guarantee of the pollution event can be realized.

A drone navigation method based on optical distortion and a drone using the same are provided. The method includes: capturing images of an environment using a drone's camera with high optical distortion properties; detecting a reference object and reference lines in the images; determining cells formed by the reference lines and monitoring curvatures of the lines; determining a reference cell adjacent to the drone; determining the drone's projected position in the reference cell based on curvatures of cell boundaries; determining a target motion direction according to a navigation task and controlling the drone's motion; and continuously updating the drone's projected position based on monitored boundary curvatures to manage the drone's motion. This method enables precise indoor navigation without relying on GPS or external markers, significantly enhancing drone operability in complex indoor environments such as warehouses and industrial facilities.

The invention belongs to the technical field of spraying processes, and particularly relates to a process method for spraying a protective coating on the surface of an optical transparent part, which reduces the initial construction viscosity and reduces the probability of flow mark generation. According to the defect that a protective coating is prone to generating flow marks and defects in a curvature transition area, an overall curtain coating construction process is creatively adopted for an optimized low-viscosity coating, a process thought of'flood irrigation 'is adopted for curvature positions where defects are prone to being generated, the defects generated in the construction process are scoured by utilizing the gravity flowing characteristic of the coating, and therefore the defects generated in the construction process are washed away. A uniform and continuous liquid film is formed on the surface of the optical transparent part; the process step of secondary curtain coating is introduced, the secondary curtain coating process at the interval of 6 hours is determined by further exploring the window period of the coating, and through comprehensive verification, the optimized process greatly improves the optical performance of the protective coating, and key performance indexes such as optical distortion and angular deviation all meet the use requirements. And meanwhile, the wear resistance of the surface of the optical transparent part is very excellent.

The invention provides vehicle glass, a vehicle glass assembly and a vehicle, the vehicle glass comprises laminated glass, a first bonding layer and a first glass plate, the first glass plate is connected with the laminated glass through the first bonding layer or arranged in the laminated glass through the first bonding layer, and the first bonding layer is arranged between the first glass plate and the laminated glass. The first glass plate comprises a first signal transmission area and a first shielding area, and the first shielding area is arranged around the first signal transmission area. Therefore, the problems of local optical deformation and distortion of the glass are reduced, and the diopter performance of the vehicle glass in a sensor area is remarkably improved.

The invention provides a projection device, a wide-angle lens thereof and a wide-angle projection method. The wide-angle lens is provided with a collimating lens group, a diffractive optical element and an adjusting lens group. Wherein the collimating lens group, the diffractive optical element and the adjusting lens group are sequentially arranged from the first side of the wide-angle lens to the second side of the wide-angle lens. Therefore, when output light with a large-angle projection range is provided, the overall optical distortion can be controlled within an effective specification.

A method for simulating the effects of the optical quality of windshield onto the image recording quality of a digital image recording device, in particular a digital image recording device for an advanced or automated driver-assistance system. The method is based on a combination of an adapted stochastic ray tracing method and of an adapted machine learning method to simulate the effects of the optical distortions of a windshield on the image recording quality of a digital image recording device. The simulation is performed from a measured optical quality function of the windshields related to those optical distortions.

The invention discloses an optical distortion test method, apparatus and device, a storage medium and a system, and relates to the technical field of virtual reality. According to the method, the intelligent glasses are controlled to display the test image containing the plurality of test points, the test points displayed by the intelligent glasses are sequentially shot through the image acquisition equipment, and in the obtained local images, the test points are located in the central areas of the corresponding local images, namely in the central area (near the optical axis) of the view field of the image acquisition equipment; the distortion influence of the lens of the image acquisition device is minimum, and then the test point of the central area of each local image is utilized to carry out optical distortion test on the intelligent glasses, so that the optical distortion of the intelligent glasses can be effectively separated from the lens distortion of the image acquisition device, the influence of the lens distortion of the image acquisition device is reduced, and the detection accuracy of the intelligent glasses is improved. And the real distortion level of the intelligent glasses can be accurately evaluated.

This invention relates to the field of gas detection technology, and more particularly to an infrared carbon dioxide detection signal processing method, system, and sensor. The method includes: acquiring measurement channel signals and reference channel signals of a carbon dioxide detection device in a mining environment to form a raw detection signal to be processed; obtaining distortion discrimination features characterizing the response relationship between the measurement channel signals and the reference channel signals based on the raw detection signal; determining whether the raw detection signal is in a normal state that can be used to calculate the carbon dioxide concentration based on the distortion discrimination features; calculating the carbon dioxide concentration based on the measurement channel signals and the reference channel signals when the raw detection signal is determined to be in a normal state; and suppressing the normal concentration output based on the raw detection signal and outputting the corresponding distortion state information when the raw detection signal is determined to be not in a normal state. This invention effectively solves the problem of how to avoid misinterpreting optical distortion as a change in CO2 concentration under high humidity and high dust conditions in mines.

The utility model discloses a small-angle infrared detection lens, which relates to the technical field of imaging, and is characterized in that the small-angle infrared detection lens sequentially comprises a first lens, a second lens and a diaphragm from an object plane to an image plane, the diaphragm is positioned between the first lens and the second lens, the first lens has a positive focal length, the second lens has a negative focal length, and the diaphragm is positioned between the first lens and the second lens. The first lens is a convex lens of a spherical structure, and the second lens is a concave lens of an even aspheric structure. According to the utility model, the optical distortion is controlled within-3.5%, the TV distortion is less than 1%, and the imaging quality is excellent. Glass or plastic materials are utilized, the glass lens is of a high refractive index and aspherical design, aberration such as spherical aberration, coma and astigmatism is effectively corrected, the resolution reaches 300 thousand pixels or above, and the requirement for high resolution is met. And the diaphragm adjustment is flexible. The structure is stable and easy to assemble.

The invention provides a large-view-field compact image space telecentric lens and an imaging method, and relates to the technical field of optical imaging lenses, the lens comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens, a seventh lens, an eighth lens, a ninth lens and an aperture diaphragm, the lens is formed by nine spherical glass lenses, and the aperture diaphragm is formed by nine spherical glass lenses. The structure is reduced, the cost is reduced, the total optical length of the lens is controlled within 50mm under the conditions of a large field angle and a long working distance, the compact structural design of the lens is realized, the integration level of the lens is effectively improved, the telecentric degree of the image space of the lens is superior to 0.02 degree, the maximum optical distortion is strictly controlled to be not greater than 0.14%, and the lens has a wide application prospect. According to the invention, a reliable guarantee is provided for high-precision size measurement, measurement errors caused by parallax are effectively eliminated, the geometric fidelity of imaging is ensured, and the technical problems of high cost, complex lens structure and long total length of the existing lens are solved.

The invention discloses a liquid continuous zoom imaging optical system which comprises a first lens, a first gluing piece, a liquid lens, a diaphragm, a second gluing piece, a second lens and a third lens, and all the lenses and the diaphragm are linearly arranged in sequence and take an optical axis as a rotation center. According to the optical system, the lens group does not need to be mechanically moved, and continuous zooming and real-time focusing between the optical magnification of 0.125 times and 0.313 times can be realized through the whole voltage. The optical system is high in overall imaging quality, high in relative illumination, small in optical distortion and small in light energy attenuation, and can be used for all C-port industrial cameras below 1.1 inches.