448 results about "Mirror reflection" patented technology

The invention discloses a machine vision-based intelligent detection method for steel galvanized surface defects, which comprises the following steps: S1, acquiring and preprocessing a steel galvanized surface image to obtain a standardized image; s2, constructing a specular reflection probability graph according to the brightness distribution and the gradient magnitude, and calculating a reflection intensity value; s3, calculating a structure tensor matrix, determining a main direction angle and an anisotropic consistency coefficient, and generating a direction feature matrix; s4, establishing a multi-scale direction adaptive phase kernel function, and performing phase modulation in a frequency domain by adopting an improved phase stretching transformation algorithm; s5, inverse Fourier transform is executed, and a phase response matrix is extracted; s6, performing weighted fusion to obtain a comprehensive phase response diagram; and S7, setting a threshold value according to the noise variance and the statistical characteristics, executing binarization and morphological processing, and outputting a defect region and boundary coordinates. According to the invention, high-precision identification and boundary positioning of steel galvanized surface defects are realized.

The invention belongs to the technical field of image processing, and particularly relates to a titanium cylinder inner wall defect detection method and system.The method comprises the steps that a titanium cylinder inner wall image is collected, and a highlight area and boundary pixel points thereof are extracted through threshold segmentation and corrosion operation; calculating a scale adjustment factor by combining a highlight area proportion and a boundary gradient amplitude, dynamically scaling the reference kernel according to the scale adjustment factor, and determining a standard deviation of a multi-scale Gaussian kernel; constructing a Gaussian kernel function of each scale, and calculating the sum of difference values of the titanium cylinder inner wall image and convolution results of all scales in a logarithm domain to obtain an enhanced titanium cylinder inner wall image; and performing threshold segmentation on the enhanced titanium cylinder inner wall image to identify a defect area. According to the method, the filtering scale is adjusted in a self-adaptive mode, mirror reflection interference is effectively restrained, halo artifacts are eliminated, and tiny defects covered by highlight are accurately recognized.

The invention relates to the technical field of image compensation, in particular to a reflection compensation method based on image processing, and provides the following scheme: acquiring an environment panoramic image by using a panoramic camera to establish a scene global coordinate system, and acquiring a multi-view original image in combination with a camera array arranged in the circumferential direction of an object; determining a rotation symmetry axis according to the multi-view contour features, reconstructing a three-dimensional geometric body, and calculating normal distribution and curvature change; generating a prediction image based on diffuse reflection and specular reflection hypothesis in the surface expansion domain through virtual visual angle disturbance, identifying a reflection region according to color and gradient consistency, and generating a reflection mask; and performing texture reconstruction on the reflective area by using geometric registration and multi-view compensation, and finally performing splicing and fusion to obtain a non-reflective high-fidelity panoramic image. The method does not need to change the field illumination condition, and can achieve the precise recognition and compensation of the complex curved surface reflection in the cultural relic in-situ collection environment.

The invention discloses a sludge treatment automatic monitoring method based on computer vision, and relates to the technical field of sludge treatment automatic monitoring, and the method comprises the following steps: collecting sludge image information through computer vision, extracting an edge integrity index and a brightness distribution index, and constructing a fusion judgment function based on the time sequence change of the two indexes, determining whether a thin water film exists on the sludge surface or not according to an output result of the fusion judgment function; under the condition of determining that a thin water film exists on the sludge surface, acquiring a pixel highlight gradient polymerization rate, a texture missing fluctuation frequency and an image saturation nonlinear deviation value of a corresponding image region, and establishing a specular reflection image feature recognition matrix; by constructing a multi-dimensional image feature recognition and dynamic regulation and control mechanism, the problem of image misjudgment caused by thin water film mirror reflection in the sludge dewatering process is solved, and accurate recognition and automatic closed-loop control of the real water-containing state of the sludge are achieved.

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 provides a cultural relic crack monitoring system and method based on image processing, and relates to the technical field of image processing. The system is composed of a multispectral image acquisition module, an environment calibration module, an image processing module, a contour recognition module, a crack recognition module, a time sequence evolution analysis module and an output module. The calibration module performs reflectivity normalization according to the material spectrum and real-time illumination and inhibits specular reflection; the image processing module uses multi-scale Retinex to enhance the crack contrast; the contour recognition module is used for extracting candidate contours by using improved Canny; the crack identification module introduces a lightweight CNN to carry out texture analysis and generates crack and texture data; the time sequence evolution analysis module completes multi-moment crack registration and morphological parameter difference; and the output module summarizes the data to generate a chart and a monitoring report. The false detection rate of a traditional method is reduced.

The invention discloses an illumination adaptability rock crack identification and calibration method based on an image identification algorithm, and relates to the technical field of geotechnical engineering intelligent image identification, and the method comprises the following steps: collecting an illumination incident angle, a polarization state and an illumination gradient corresponding to an image frame, building an illumination time sequence observation layer, and obtaining an illumination time sequence observation layer; forming an illumination feature baseline for crack boundary tracking; and performing coherent phase decomposition on the image sequence based on the illumination feature baseline, stripping mirror reflection and enhancing diffuse reflection texture, and generating a crack drift suspicion image. Through construction of an illumination time sequence observation layer and coherent phase decomposition, illumination interference stripping in a crack image is realized, false drift is eliminated by combining anti-fact playback and time reconstruction, and a dynamic threshold control mechanism is constructed by introducing an anti-illumination mask and an anti-phase pattern and linking a polarized light diaphragm and a shading array. And high robustness of crack identification and closed-loop regulation and control of false early warning are realized.

The invention belongs to the technical field of image processing, and particularly relates to a screw fastening quality evaluation method and system based on image features, and the method comprises the steps: collecting a screw fastening image, and obtaining a complex response diagram through a Log-Gabor filter; obtaining a phase congruency diagram according to each complex response diagram; acquiring gradient directions of pixel points in the phase consistency graph, and constructing an accumulator graph according to the gradient directions and offset points in a preset radius range; according to salient points in the accumulator graph and local signal-to-noise ratios of the salient points, screw positioning points are determined through two-dimensional quadratic polynomial function fitting; the torque value of the screw is obtained according to the screw positioning point driving torque measuring device, and whether the screw is fastened or not is judged. According to the method, the screw is positioned by using phase consistency in the frequency domain, so that the interference of specular reflection and extreme shadow on positioning is overcome, the accuracy of screw positioning is improved, and screw fastening quality evaluation is assisted.

The invention discloses a defect detection system and method for a glass bottle, and belongs to the field of industrial visual defect detection and analysis. The system comprises a GBDM module, the GBDM module is a defect detection module, and the GBDM module comprises a front attention enhancement structure, a rear attention enhancement structure and a defect detection structure, a multi-branch feature extraction structure is used for generating four feature branch diagrams; and the feature fusion structure is used for fusing the four feature branch diagrams. The GBDM module is embedded in the backbone network of the YOLOv8 network model, and multi-branch structures such as wavelet transform, Gabor direction filtering and specular reflection suppression are utilized, so that the feature extraction capability of multiple types of complex defects such as cracks, smudginess and damage on the surface of the glass bottle is enhanced, the generalization capability of the model in a small sample scene is remarkably improved, and the accuracy of the model is improved. The real-time requirement of an industrial scene is met, continuous self-optimization is achieved, and the method has high robustness, high accuracy and high application value.

The invention relates to the technical field of photoelectric detection, and particularly discloses a three-dimensional defect detection method and system based on compound color stripe projection, and the method comprises an upper computer control and processing module which is used for generating a compound color stripe pattern coded with phase difference information, and coordinating and controlling the synchronous operation of the whole system; the structured light projection module is used for receiving the composite color stripe pattern and projecting the composite color stripe pattern to the surface of a measured object at one time; the imaging module is used for receiving the composite colored light reflected after being modulated by the surface of the measured object and separating the composite colored light into monochromatic light signals with different colors for synchronous acquisition; the imaging module further comprises an active highlight suppression unit which is used for dynamically adjusting the polarization direction according to an instruction of the upper computer control and processing module so as to suppress highlight caused by specular reflection. Multiple groups of sine fringes with fixed phase differences are projected to the surface of a measured object at one time. And a plurality of deformed fringe patterns with phase displacement can be synchronously acquired under single exposure.

The invention belongs to the technical field of computer vision, and particularly relates to a blind hole plate hole depth measuring method and system based on distributed cameras 2D and 3D, and the method comprises the steps: projecting laser stripes through a laser, and synchronously collecting a laser stripe image and a blind hole plate 2D gray scale image through the distributed cameras; according to pixel gray scale distribution in a preset window on the laser stripes, adaptively selecting a Gaussian fitting method or a gray scale centroid method to carry out sub-pixel-level center extraction, and generating 3D height data of the blind hole plate; based on the 3D height data and the positioning holes, blind hole center positioning is carried out through affine transformation and image matching; and combining the 3D height data and the 2D grayscale image, judging the measurability of the blind hole according to 2D grayscale features, selectively starting hole depth calculation based on the 3D height data, and comprehensively evaluating the quality of the blind hole. According to the invention, the problems of specular reflection and deep hole measurement are effectively solved, and the precision and efficiency of blind hole depth measurement are remarkably improved.

The invention belongs to the field of optical detection, and particularly relates to a synchronous calibration method for a geometric pose and an optical axis error of a reflective phase deflection system, which comprises the following steps of: taking a plane mirror pose as a reference, establishing redundant geometric constraints under a plurality of poses through mirror image reflection, and jointly solving geometric external parameters of the system; and meanwhile, a reverse ray tracing model and a normal integral model are synchronously constructed in a calibration stage, surface shape data are actually measured by combining an interferometer, a system optical axis error field is explicitly stripped, and decoupling separation of a system structure error and a surface shape error is realized. According to the method, the system building process is greatly simplified, the dependence of a high-precision mechanical auxiliary device is avoided, and the overall detection precision and the low-frequency error control capability of the reflective phase deflection system are effectively improved by synchronously modeling and compensating the optical axis error of the system in the calibration stage; and a technical basis with engineering adaptability is provided for high-precision free-form surface optical detection.

The invention discloses an accessory traceability management system and method for a watch movement, and relates to the technical field of product traceability management, and the method comprises the following steps: building an accessory traceability reflection management file, carrying out the structural recording of management data and carved code appearance features related to traceability collection, and storing the recorded data in a database; and based on the management data, an anti-radio frequency flash feature table for tracing acquisition risk assessment is generated. According to the invention, by establishing an accessory traceability reflection management file and an anti-radio frequency flash characteristic table, correlation identification of light source parameters and metal surface characteristics is realized, reflection interference is pre-judged in advance, and the acquisition rhythm is optimized; by misjudging a trigger point set to reconstruct an illumination and exposure mode and combining a reverse exposure dark window and a scattered light shadow to suppress mirror reflection, imaging is stable, carved codes are clear, and traceability identification accuracy and reliability are improved.

The invention relates to the technical field of optical detection, and particularly provides a mirror surface detection method for a large-aperture spliced telescope, which comprises the following steps of: emitting light from a focus position by using a light source, reflecting the light through a mirror surface of the large-aperture spliced telescope to enter a discrete lens arranged at the rear end, and splitting the light by using a spectroscope to obtain a split light beam; the first light beam enters the camera to obtain interference fringes of the splicing seams, the second light beam enters the optical switch to carry out aperture coding, and the mirror surface precision of the large-aperture spliced telescope can be determined according to the code of each splicing seam and the confocal and co-phase information of the sub-reflectors on the two sides of the splicing seam. According to the invention, splicing seam detection is carried out through focus reverse auto-collimation, the problem that an oversized collimator is needed traditionally is avoided, point-by-point detection is carried out on the sub-reflectors according to the splicing seam, and confocal and co-phase detection of the adjacent sub-reflectors is realized according to interference fringes.

The invention provides portable electric connector image acquisition equipment. The portable electric connector image acquisition equipment comprises an industrial camera, a lens, fixed focus glass, an annular light source, an inclined plane light guide ring and a shell, the industrial camera, the lens, the annular light source and the bevel light guide ring are installed in the shell, the fixed focus glass is installed at the front end of the shell and serves as a detection reference surface of the electric connector, and the distance between the end face of the electric connector and the lens is mechanically limited; the geometric center line of the annular light source and the central normal of the fixed-focus glass coincide with the optical axis of the lens; an inclined plane light guide ring is arranged between the annular light source and the fixed focus glass, and the inclined plane light guide ring secondarily guides an annular light beam to enter a measured end face and a hole wall to realize surrounding illumination; the positions of the annular light source, the bevel light guide ring and the fixed-focus glass relative to the lens meet the condition that the equivalent outer diameter of the annular light source on the end face is larger than the final imaging view field diameter of the camera on the same plane at the end face of the detected electric connector, and the entrance pupil aberration extension of a mirror reflection path generated by the fixed-focus glass falls out of the view field of the camera.

The invention discloses a long-distance binocular camera calibration optimization method based on multistage feature enhancement, and the method comprises the steps: carrying out the processing of a condition that a long-distance calibration plate has a highlight region and is fuzzy in angular points, employing a bilateral filter to suppress the reflection of a highlight mirror surface, reducing the reflection of light, and maintaining the definition of an image; the checkerboard texture is enhanced by adopting a CLAHE algorithm in combination with blocking processing and a contrast gain threshold value; a Sobel operator and a Harris corner response function are fused, gradient direction distribution characteristics of a pixel neighborhood are extracted through the Sobel operator, weighted fusion is carried out on the gradient direction distribution characteristics and the Harris corner response function, and the response intensity and specificity of a corner area are remarkably enhanced. A three-level image preprocessing framework including reflection suppression, contrast enhancement and corner enhancement is constructed, the problem of feature extraction of a traditional method under a complex illumination condition is solved, the corner area detection capability is enhanced, the problems of specular reflection noise, low contrast and corner blur are effectively solved, and the calibration precision is improved.

The invention discloses an AOI back inspection reflection inhibition method based on black flannelette pasting, and relates to the technical field of AOI detection, and the method comprises the steps: placing a to-be-detected silicon wafer on a silver gray aluminum material carrying platform; starting the AOI equipment to collect a background image; black flannelette is selected as a reflection inhibition material; black flannelette is attached to the center detection area of the silver gray aluminum material carrying table, and the light source perpendicular incidence area is of a double-layer structure formed by combining a bottom-layer reflective sticker and surface-layer black flannelette. After surface mounting is completed, the background image is collected again; and performing defect identification on the acquired background image, and outputting a detection report. According to the invention, through the physical light absorption characteristic of the black flannelette, the average gray value of the reflection area of the carrying platform is reduced, the high-intensity mirror reflection interference is effectively eliminated, the difference between the background gray level and the edge gray level of the silicon wafer after mounting is obvious, image analysis software can realize accurate edge searching by setting the minimum identification gray level threshold, and meanwhile, the edge searching precision is improved. The black flannelette can improve the background gray scale stability and reduce the interference of gray scale fluctuation on a threshold segmentation algorithm.

The invention relates to a packaging structure of a micro display chip and a display device, and the packaging structure comprises a substrate, the surface of which comprises a display area and a non-display area; the electrode pads are located in the non-display area; and a plurality of through hole plugs located in the substrate, wherein one end of each through hole plug is electrically connected with the electrode pad. In AR near-to-eye display application, the light absorption structure can effectively absorb stray light returned from components such as an optical waveguide and the like, secondary specular reflection of the metal electrode pad on the non-display area is avoided, ghosting is prevented from being formed, and the imaging contrast ratio and the picture purity are remarkably improved. The light absorption structure is integrated in the packaging structure, and a stray light feedback path is cut off through a physical means on the premise that normal light emitting of a display area and electrical connection of an electrode pad are not affected, so that the optical performance of the micro-projection ray machine is improved, the final display effect is guaranteed, and the display effect is improved. Therefore, the technical problem of image quality degradation caused by high reflectivity of the non-display area is effectively solved.

The invention discloses an RGB backlight partition display LED packaging module and a preparation method thereof, and belongs to the technical field of backlight display. The RGB backlight partition display LED packaging module comprises a substrate, an LED assembly, a barrier wall assembly and an optical transparent adhesive diffusion particle layer. The LED assembly is arranged on the substrate; the barrier wall assembly is arranged on the substrate and comprises a plurality of barrier walls, and the barrier walls are used for isolating an optical path; the optical transparent adhesive tape is used for isolating pollutants and carrying out primary light mixing on colored light emitted by the LED assembly; and the diffusion particle layer is used for converting the directionally propagated light into spatial random distribution so as to eliminate glare spots caused by specular reflection, and carrying out secondary light mixing on the colored light emitted by the LED assembly. According to the RGB backlight partition display LED packaging module provided for a user, the color levels displayed by the packaging module are effectively enriched, the image quality is improved, and the power consumption of a machine is reduced.

The invention discloses an electric mechanical arm dynamic path planning method based on thunder-vision fusion three-dimensional reconstruction, and relates to the field of dynamic path planning, and the method comprises the steps: obtaining a multi-modal discrete perception data stream in an electric robot operation scene, executing physical discretization and multi-dimensional verification to generate a physical verification multi-modal entity point cloud, and carrying out multi-dimensional verification on the physical verification multi-modal entity point cloud; manifold solidification is carried out on the physical check multi-mode entity point cloud to output a geometric friction feature mapping set, mirror reflection artifact and topological fracture detection is carried out on the geometric friction feature mapping set, a discontinuous topological broken area generated by dynamic shaking and high-reflectivity material coupling is identified, and the topological broken area is determined. And performing physical perception implicit field repair on the discontinuous topological broken region based on the geometric friction feature mapping set, and generating a collision-free dynamic gradient guide path, so that the generated dynamic gradient guide path can avoid those geometrically reachable but physically unreliable grabbing regions.

The invention discloses a material attribute classification method based on multispectral and polarization information, and the method comprises the steps: firstly achieving the real-time collection and processing of image data through hardware cooperation, constructing a training data set containing multispectral, different polarization angles and RGB images, and providing a label for each sample; secondly, samples in the training data set are preprocessed, stokes parameters are calculated, and input data are obtained through the stokes parameters; and then constructing a feature encoder of a three-branch network structure, processing input data and calculating physical reconstruction loss, carrying out adaptive weighted fusion on output of the feature encoder, and respectively predicting a material category and a surface state through a dual-task output head. According to the method, high-accuracy material and surface attribute identification can be realized under the conditions of complex materials, mirror reflection and fine surface difference.

The invention discloses a visual defect identification and evaluation method for aviation I-shaped edge strip processing quality, particularly relates to the field of machine vision detection and discrimination, and is used for solving the problem of mistaken elimination or length measurement distortion caused by easy confusion of end part short region slender defects and end surface mirror reflection secondary images. The method comprises the following steps: establishing part local coordinates and fillet belt unfolding coordinates; screening a main evaluation view angle and a dual view angle and generating a displacement prediction window; extracting a candidate slender response set through dual-view collection and local registration; calculating a mapping residual distance and a same shift segment length and generating a mirror pseudo coefficient; and executing gating judgment and mirror image mask removal or length measurement and category judgment, and binding and storing to finish evaluation.

The invention discloses a mechanical arm double-shaft-hole bolt inserting method based on three-dimensional visual positioning and admittance force control, and belongs to the technical field of mechanical arm intelligent assembly.The mechanical arm double-shaft-hole bolt inserting method comprises the steps that bolt inserting position estimation is conducted through an image recognition algorithm, and a shaft hole recognition strategy combining a YOLOv8 neural network model and Hough circle detection is adopted; extracting a shaft hole normal vector by using principal component analysis, and constructing a spatial constraint to solve a tail end target attitude; formulating a two-step visual guidance strategy to avoid an observation blind area, and controlling the six-degree-of-freedom mechanical arm to move to a bolt preparation point position in stages; and finally, switching an admittance force control mode to realize fine and smooth bolt operation. According to the method, high-robustness assembly of the metal shaft hole in the unstructured environment is realized, and the problem of positioning failure caused by specular reflection interference and a depth observation blind area is effectively solved.

The invention discloses a furniture special-shaped part detection method and system based on machine vision, and relates to the technical field of machine vision detection, and the method comprises the steps: collecting original image data of a home special-shaped part, carrying out the image registration, carrying out the feature enhancement of the registered image data, and generating multi-modal image data; performing decomposition and enhancement processing on the multi-modal image data to obtain a final reflection image and an enhanced morphology image; and inputting the final reflection image and the enhanced morphology image into a defect detection network based on an attention mechanism and comparative learning, carrying out cross-modal feature fusion, and outputting a defect detection result of the furniture special-shaped part. According to the method, through multi-modal image acquisition and feature enhancement, polarized light reflection correction and a cross-modal defect detection network based on an attention mechanism and comparative learning, effective distinguishing between the surface texture of the furniture special-shaped part and mirror reflection interference is achieved, and the problems that real defects are difficult to accurately recognize, and the false detection rate and the omission rate are high are solved.

The present application provides a kind of vehicle laminated glass and its application, which includes outer sheet glass, inner sheet glass and intermediate film, the outer sheet glass has the first surface towards outside and the second surface towards inside, the inner sheet glass has the third surface towards outside and the fourth surface towards inside, the intermediate film is bonded with the second surface and the third surface, infrared reflection film is provided between the outer sheet glass and the inner sheet glass, and low-emissivity film is provided on the fourth surface;The mirror factor α of the vehicle laminated glass is less than or equal to 15, and the mirror factor α is according to the formula α=RL / TL 2 RL is the visible light reflectance of the vehicle laminated glass measured from the inside, and TL is the visible light transmittance of the vehicle laminated glass. When the vehicle laminated glass is used as the sunroof glass of the vehicle roof, the use of sunshade curtain can be cancelled, the mirror reflection effect of the inside can be effectively improved, and the user experience and passenger privacy can be protected.

The invention relates to the technical field of automobile body paint weather resistance testing, in particular to a sunlight self-following reflection system and a control method, and the sunlight self-following reflection system comprises a buried support, a rotation driving mechanism, a rotation platform and a mirror reflection mechanism. The rotary driving mechanism rotates by 360 degrees in a horizontal plane through a driving unit, so that the direction of a vehicle head is always aligned with a solar azimuth angle; the mirror reflection mechanism adjusts the pitching angle of a reflection plate through a micro motor, and it is ensured that sunlight is projected to the surface of a vehicle body with a preset standard irradiance value. The system further comprises an air supply mechanism and an online measuring instrument which are used for cooling, dedusting and tracking the position of the sun in real time. According to the invention, test errors caused by solar altitude changes and regional differences can be eliminated, and the comparability and repeatability of test results are significantly improved.

The invention relates to the technical field of navigation and positioning, in particular to an unmanned ship attitude-combined positioning mapping method, which comprises the following steps of: acquiring laser point cloud data and ship attitude information; constructing a dynamic height filtering window, and eliminating water surface reflection noise points; density clustering parameters are adjusted, and spatial isolated point clusters are eliminated; positioning and mapping are realized through tight coupling optimization; in the prior art, a fixed threshold filtering scheme is adopted, and inshore structure reservation and long-distance noise elimination are difficult to consider, so that wharfs, reefs and other characteristics in lake surface mapping are mistakenly deleted or a large number of water surface false points are remained; according to the scheme, a ship attitude adaptive dynamic height filtering window is innovatively provided, the filtering boundary is intelligently scaled in a wave disturbance environment through fusion of radar real-time height, point cloud statistics and a horizontal distance segmentation adjustment mechanism, specular reflection false points and wave false point clusters are accurately eliminated, and nearshore topographic features are completely reserved; and the structural integrity and the space authenticity of the water surface map are obviously improved.

The invention discloses a medicinal material production quality detection method based on image recognition, and relates to the technical field of image processing, and the method comprises the following steps: building an illumination transient observation baseline, adopting a time-frequency synchronous calibration method and combining a phase consistency map, analyzing the nonlinear drift characteristics of brightness and contrast in the medicinal material imaging process, and calculating the medicinal material production quality. Generating an illumination disturbance fingerprint database for providing a dynamic reference basis in a subsequent identification process; cross-frame mutual information alignment identification is carried out based on an illumination disturbance fingerprint database, mirror reflection artifacts are stripped through a time sequence difference mode, coupling information between color features and texture features is extracted, and a robust feature stack with illumination interference resistance is constructed to serve as input data in a causal analysis process. According to the invention, through disturbance modeling, feature enhancement, risk identification and dynamic regulation and control, an adaptive steady-state control mechanism is constructed, and high-precision image identification and stable detection of medicinal material quality under a complex illumination condition are realized.

The invention discloses an ancient building repairing auxiliary system based on a color quantization technology, and relates to the technical field of ancient building special decoration. The acquisition module is used for acquiring a dust light transmission attenuation coefficient determined according to the dust concentration and a target attenuation coefficient, determining a reference brightness ratio of the current brightness to the dust-free standard brightness by a standard reference plate and a preset temperature and humidity compensation factor, and calculating an environment illumination value; according to the identified average reflectivity of the material, 1 minus the mirror reflection ratio and the surface roughness, endowing different weight values, and then adding to determine a material optical value of the material; dividing the product of the environment illumination value, the material optical value and a preset material photosensitivity correction factor by 100 to obtain a comprehensive illumination value; driving an execution unit to execute different strategies according to the comprehensive illumination value; therefore, the problem that some tiny flaws cannot be accurately positioned during repair defect detection due to different on-site environments after the ancient building is preliminarily repaired can be solved, and the method is simple, effective and easy to use.

The invention relates to the technical field of machine vision and industrial automatic detection, in particular to a three-dimensional positioning and defect detection method and device for an optical complex object. Comprising the following steps: S1, acquiring image data of an optical complex object under a plurality of illumination conditions; s2, carrying out feature extraction on the image data and carrying out cross-level feature fusion to obtain fusion features; s3, calculating normal information of the optical complex object in combination with optical physical constraints according to the fusion features; s4, performing image enhancement processing on the image data, and performing three-dimensional reconstruction based on normal information; and S5, identifying a target defect area based on a reconstruction result, and outputting a defect detection result. According to the method, the precision and stability of three-dimensional positioning and defect detection of the optical complex object are effectively improved by inhibiting mirror reflection, enhancing boundary features and reconstructing the normal in combination with physical constraints.