210 results about "Bright spot" patented technology

The invention provides a hull surface defect detection system based on machine vision, and relates to the technical field of data processing. The image correction module is used for carrying out illumination equalization processing and geometric distortion correction; the region construction module is used for identifying a defect-free stable region and generating reference region data which comprises a brightness model and a texture model; the candidate generation module is used for detecting a region where texture interruption or abnormal bright spots exist locally to form candidate defect data, and the candidate defect data comprise pixel positions and local contrast parameters; the stability judgment module is used for carrying out projection matching in the multiple frames of images and simultaneously carrying out joint comparison with the brightness model and the texture model of the reference area data to form real defect data and false defect data; the result output module is used for generating a detection result containing defect coordinates, defect contours, image frame numbers and interference sample prompts; the accuracy of hull surface defect detection is improved.

The invention relates to a light spot uniformity optimization method and system for a high-precision VCSEL device, and the method comprises the following steps: carrying out the light field collection of a light-emitting surface of the VCSEL device, obtaining the intensity distribution of original light spots, analyzing the non-uniformity of each light-emitting unit, and extracting the non-uniformity characteristics of the light spots. And carrying out deviation cause analysis based on the characteristics, and identifying device structure deviation parameters. According to the method, an etching process is optimized, a corrected oxidized aperture configuration scheme is obtained, near-field light field simulation is carried out by adopting a finite difference time domain method, and optimized light field distribution is verified and predicted. And finally, adaptive compensation design is carried out on the Bragg reflector structure based on a prediction result, light field regulation and control are realized, target light spot uniformity distribution is finally obtained, and the problem that systematic analysis and feedback control on non-uniformity causes of a light emitting unit layer in a device are lacked in the prior art is solved. And local bright spots or dark areas are caused.

The invention provides a machine vision light source control method and system, and the method comprises the steps: carrying out the spatial analysis of ambient light state data of a machine vision scene, obtaining the spatial distribution information of ambient light, and determining an ambient light illumination abnormal region on the surface of a target object through combining the spatial attitude information of the target object in the machine vision scene; based on the distribution state information of the abnormal ambient light irradiation area on the surface of the target object, adjusting the supplementary lighting irradiation state of the light source, analyzing the global image of the surface of the target object, determining the bright spot distribution information of the surface of the target object, and comprehensively positioning the area range with excessively concentrated brightness generated by supplementary lighting irradiation; based on the hot spot distribution information, the irradiation light intensity distribution of the light source is dynamically adjusted, and the corresponding optimal adjustment parameters are determined, so that the light emitting state adjustment or light ray state modulation is performed on the light source, a flexible and locally adjustable supplementary lighting mode is provided for machine vision recognition, and the applicability of the machine vision light source to different scenes is improved.

The invention relates to the technical field of nano particle heterogeneous reaction kinetic research, in particular to a nano single particle reaction rate measuring system and method based on optical surface wave dark field imaging. The method comprises the following steps: preparing a nano single particle sample; the humidity of the environment where the nano single particles are located is adjusted; starting a heterogeneous reaction of the nano single particulate matter, performing in-situ dark field imaging on the nano single particulate matter in the reaction process, and collecting scattering hot spot imaging data under different reaction times and different humidity; and based on the acquired imaging data, the reaction rate of the nano single particulate matter is inversed in combination with a kinetic model. According to the invention, the defects in the existing nano-particle reaction rate measurement technology can be overcome, and the reaction rate of a single particle as low as 50 nanometers in the heterogeneous reaction process can be accurately measured and inverted under the high-humidity standard atmospheric pressure condition.

The invention discloses a calcium carbonate sewage treatment intelligent monitoring method based on the Internet of Things, and relates to the technical field of environmental engineering, and the method comprises the following steps: constructing a multi-angle light beam scanning array, collecting a scattering reflection intensity matrix in real time, generating a hot spot candidate set through the matrix, and calculating an angle spectrum deviation coefficient corresponding to a pixel; the base line is used for establishing a bright spot identification base line; and based on the angle spectrum deviation coefficient, introducing a micro-area temperature difference mapping mechanism, collecting a micro-area temperature gradient curve, carrying out normalization comparison on the temperature gradient curve and the angle spectrum deviation coefficient, and extracting a synchronous transition point as a hot spot identification trigger threshold. Microbubble interference is shielded through the dynamic shielding mask, a turbidity monitoring window is corrected, bubble dissipation duration is calculated based on temperature difference attenuation, sedimentation judgment is delayed, advanced stirring and dosing stop caused by misjudgment is avoided, sedimentation sufficiency and water quality stability are improved, intervention frequency is reduced, and the method is suitable for treatment of industrial wastewater containing calcium carbonate particles.

The invention belongs to the technical field of photoelectric measurement, and particularly relates to a shooting moment calibration system and method of a photoelectric theodolite. The system comprises a control panel, a servo control unit, a timing system control unit and a light source. A user operates the control panel to set control parameters of the shooting moment calibration system. The timing system control unit sends trigger signals to the servo control unit and an encoder of the photoelectric theodolite according to control parameters of the shooting moment calibration system; the motor drives the separation blade to rotate according to the control parameters, the photoelectric theodolite is controlled to be aligned with the collimator, a bright spot is arranged at the central position of the field of view of the photoelectric theodolite, and a calibration value output by the encoder is recorded; and calibration instrument detection software realizes calibration of the shooting time of the photoelectric theodolite according to the calibration value, the point target image sequence and the control parameters. The method can calibrate the shooting time of the photoelectric theodolite.

The invention relates to the technical field of visual target analysis, and discloses a dynamic bright spot target statistics and analysis method based on visual tracking. According to the method, a reference video sequence is collected to construct a background model database, a real-time video stream data set is obtained, a visual bright spot target is detected, and an average brightness value is calculated as a detection reference threshold value. And a visual bright spot target is analyzed in combination with the background model database, and a potential abnormal bright spot target is identified and marked. And when a potential abnormal bright spot target exists, extracting spatial position information and movement track characteristics of the potential abnormal bright spot target, and judging whether the potential abnormal bright spot target is a real abnormal bright spot target. And after real abnormity is determined, calculating an initial risk assessment value according to the occurrence frequency, extracting morphological contour and size change features, and performing similarity grouping analysis by using a feature matching algorithm. And judging whether a dynamic flicker bright spot target exists or not according to an analysis result, if so, correcting an initial risk assessment value based on a flicker mode characteristic setting adjustment factor, and adjusting subsequent dynamic tracking frame rate setting according to the corrected value.

The invention discloses a sonar target motion identification method based on a low-frame-rate bright spot structure sequence. The sonar target motion identification method comprises the steps of 1, roughly intercepting a bright spot structure; 2, accumulating a bright spot structure, sonar platform information and tracking information; step 3, motion compensation of the sonar platform; 4, accurately intercepting a bright spot structure; and 5, searching the optimal radial speed. According to the method, target radial motion parameters are extracted by means of distance steep motion of a sonar target among multiple frames of echoes, and a speed estimation loss function based on bright spot structure global optimal estimation is innovatively designed for the problems that the time interval between adjacent echoes of a low-frame-rate sonar target is long and the bright spot structure fluctuates greatly. According to the method, the global similarity between input period bright spot structures is fully utilized, the distance steep motion measurement precision is improved, the radial speed of the sonar target can be given at the same time, and the motion identification precision and stability of the sonar target are improved.

The present application relates to a kind of for the determination method of liquid alloy density in electrostatic suspension state in space station, after obtaining the photo of liquid alloy in electrostatic suspension state in space station, first photo is converted into pixel matrix and carries out gray scale processing, then deduct photo background by matrix operation.Further, the best binary grayscale threshold of pixel matrix is calculated, and pixel matrix is carried out binary processing.Then all boundary coordinates in pixel matrix are obtained by matrix operation, and each connected boundary is distinguished.Excluding bright spot boundary, the boundary coordinates and center coordinates of liquid alloy are obtained.Then the boundary equation of liquid alloy is obtained by using multi-order Legendre equation fitting liquid alloy boundary coordinates.Finally, the volume of liquid alloy is obtained by rotating integral to the boundary equation of liquid alloy, and then the density value of liquid alloy is obtained.The density value of the present application can be obtained by processing liquid alloy photo, and can be used for the determination of containerless liquid alloy density in electrostatic suspension in space station.

The invention relates to the technical field of electric power communication module meter reading test, and discloses an electric power communication module meter reading test method and system, and the method comprises the steps: sending a to-be-tested module into a conveyor belt, carrying out the light supplement after the to-be-tested module enters a detection region, collecting an image, and recognizing display data. If the data display is abnormal, further judging whether bright spots exist or not, and if not, removing abnormal modules; and if yes, adjusting the light supplementing strategy and re-collecting the image until the bright spots disappear. And comparing and synthesizing the newly collected image and the original image, and determining whether the ammeter is qualified after determining that the data is accurate. Light supplementing adjustment is based on analysis of the bright spot position, the light supplementing effect is optimized by controlling the position of a light supplementing lamp, and the accuracy of detection data is ensured. The method can effectively improve meter reading accuracy and reduce manual intervention, and is suitable for automatic production line detection of intelligent electric meters.

The invention discloses a virtual image distance measuring method and a virtual image distance measuring device of an imaging system. The virtual image distance measuring method comprises the following steps: placing optical equipment at a coupling-out area position of an imaging system; a light source of the imaging system is controlled to emit light, an imaging image presented in an imaging plane after light emitted by the light source passes through the shading cover plate and the lens is obtained, the actual imaging distance value between a first bright spot and a second bright spot in the imaging image is obtained, the first bright spot is a bright spot formed in the imaging plane by the light passing through the first light through hole, and the second bright spot is a bright spot formed in the imaging plane by the light passing through the second light through hole. The second bright spot is a bright spot formed by light passing through the second light through hole in the imaging surface; and determining the virtual image distance of the imaging system according to the actual imaging distance value, the focal length of the lens, the distance between the imaging surface and the lens and the distance between the first light through hole and the second light through hole. The invention provides a virtual image distance measuring method and a virtual image distance measuring device of an imaging system, which can improve the efficiency and the precision of determining the virtual image distance of the imaging system.

The invention discloses a binocular camera calibration method based on laser interference and two-dimensional grating diffraction, and the method comprises the steps: S1, configuring an interference light path: equally dividing a laser beam into two beams, transmitting the two beams through two interference arms, carrying out the beam combination, enabling the diffraction light spots to generate interference, and forming an interference image; s2, calibrating an interference light path: adjusting a light guide system until it is observed that an interference ring continuously diverges outwards from the center; and S3, binocular camera matching: the binocular cameras are placed on the light guide paths of the two interference arms respectively, it is ensured that the light path distances from the binocular cameras to the observation equipment are equal, the positions and angles of the binocular cameras are adjusted, the positions of diffraction spots coincide, and round bright spots are formed in the center. A laser interference measurement method is adopted, the measurement precision can reach one thousandth wavelength magnitude, the matching calibration precision is high, a sensor target surface pixel two-dimensional periodic distribution structure is used as a two-dimensional grating to diffract a measurement laser beam, no additional measurement device is needed, and the equipment cost is saved.

The present invention discloses a method and system for identifying low-velocity mudstone based on attribute clustering. It includes: by analyzing the logging data and seismic data of exploration wells in the work area, dividing the low-velocity mudstone into bright spot type and non-bright spot type, and analyzing their characteristics. Establishing a three-layer medium model and conducting seismic forward modeling to obtain the seismic response characteristics of different models. Then, extracting and optimizing seismic attributes from the forward modeling results. Using the CLARA clustering algorithm and the PAM method to conduct clustering analysis on the attributes to identify the types of low-velocity mudstone and gas-bearing sandstone. The present invention improves the identification accuracy of low-velocity mudstone and gas-bearing sandstone, and provides technical support for exploration and well location deployment.

The utility model relates to the technical field of film bright spot product detection, in particular to a bright spot detection device of a polaroid, which comprises a working table, a feeding unit, a filter disc inspection unit, an optical positioning point identification unit, a bright spot detection unit and a discharging unit are sequentially arranged on the working table, the feeding unit comprises a moving module and a stock bin module, the moving module sucks the polaroid from the stock bin module and moves the polaroid to the filter disc inspection unit; a jig moving module of the filter disc inspection unit receives and bears the polaroid on the moving module, and a filter disc switching module of the filter disc inspection unit is used for selecting a filter disc corresponding to the polaroid; the bright spot detection unit comprises a manipulator, an adsorption jig, an adsorption jig moving module, a re-judgment camera and a warping detection camera, the manipulator sucks the polaroid on the jig moving module and carries the polaroid to the adsorption jig, and the adsorption jig moving module drives the adsorption jig to sequentially move to the re-judgment camera and the warping detection camera for shooting; and the full-automatic detection function of the bright spot film product is realized.

The invention relates to the technical field of stress measurement, in particular to a wall surface shear stress measurement method based on an event camera and a micro-cylinder sensor, and the method is used for measuring wall surface shear stress in a flow field and comprises the following steps: setting a mounting position of the micro-cylinder sensor; setting an event camera light threshold; based on an event camera, acquiring a pixel position of a top bright spot of the micro-cylinder sensor at an initial moment and a mark point position on a substrate of the micro-cylinder sensor; the pixel position of a bright spot at the top end of the micro-cylinder sensor in the working state is collected; and obtaining the wall surface shear stress in the flow field according to the micro-cylinder sensor top end bright spot offset and a curve between the wall surface shear stress and the micro-cylinder sensor top end bright spot offset. According to the invention, the detection efficiency of the micro-cylinder sensor can be obviously improved, the problem of uneven lighting caused by using an LED is avoided, and the post-processing problem caused by simultaneous lighting of the top end and the bottom end of the micro-cylinder sensor after lighting is effectively avoided.

The invention belongs to the technical field of feature recognition of underwater complex targets, and relates to a boundary element-based multi-bright-spot cluster target interference feature estimation method, which comprises the steps of geometric model construction and introduction, numerical calculation based on multi-physics field coupling, echo intensity representation by adopting an angle-frequency spectrum, and analysis of resonance generated by multi-body interference. According to the method, a numerical model for solving a three-dimensional double-gas-cylinder omnidirectional scattering sound field is established based on a boundary element method, and omnidirectional and broadband scattering characteristics of a target in horizontal and vertical attitudes are calculated; a multi-bright-spot dual-target strong scattering coupling mechanism is mainly analyzed, and a multi-body configuration and single target scattering interference fringe generation mechanism is disclosed; according to the method, the inherent attribute characteristics of the single target can still be effectively identified in a cluster target scattering field; the mapping relation among the geometric configuration, the spatial arrangement mode and the frequency response is obtained, and a theoretical formula suitable for double-target sound scattering forecast is deduced.

A space surveillance method for detecting space objects in orbit around the Earth in images captured during the daytime, the method including the following steps: capturing a plurality of infrared images of the daytime sky using a camera including at least one infrared sensor, detecting space objects in orbit around the Earth on the basis of the images, the detection of bright spots being implemented by a deep-learning artificial intelligence system, and identifying each object detected from a catalogue of known space objects in orbit around the Earth.

The invention discloses a method for extracting angular points in a checkerboard calibration object image. Firstly, rough positions of angular points of a checkerboard calibration object are obtained; converting the rough position of the angular point into a supersampled image coordinate system, and intercepting an image window at the rough position of the angular point; calculating a response value of a pixel in the central area of the window, and generating a response diagram; gaussian blur is carried out on the response diagram to enable the response diagram to be smooth, and an area near an angular point in the blur response diagram is fitted into an elliptical paraboloid; calculating the sub-pixel extreme value position of the bright spot according to the parameters of the elliptical paraboloid; and finally, carrying out coordinate conversion to obtain the accurate position of the angular point. Compared with a checkerboard calibration object angular point position extraction method based on an angular point boundary, the method provided by the invention can realize higher angular point position extraction precision, thereby improving the precision of a camera calibration result, and facilitating the accurate realization of computer vision application.

According to the multi-frame reverberation suppression method based on combination of the alternating direction multiplier method and the low-complexity high-order nonlinear cumulant, underwater reverberation in inter-frame low-rank slow-change components in reverberation is suppressed through the alternating direction multiplier method; water surface reverberation, volume reverberation and noise in inter-frame sparse fast-change components are suppressed by using low-complexity high-order nonlinear cumulants, and continuous moving target bright spots are enhanced, so that an angle-distance sonar two-dimensional image with lower reverberation intensity and clear continuous target bright spots is obtained. Compared with the reverberation suppression performance of an existing low-complexity high-order nonlinear cumulant and multi-frame accumulation after processing of an existing robust principal component analysis method, the multi-frame reverberation suppression method combining the alternative direction multiplier method and the low-complexity high-order nonlinear cumulant has a better reverberation background suppression effect.

The invention discloses an airfield pavement crack monitoring and maintenance method based on an unmanned aerial vehicle and image recognition, and relates to the technical field of airfield pavement crack monitoring and maintenance, and the method comprises the following steps: an unmanned aerial vehicle carries a thermal imager and a multispectral camera to synchronously scan an airfield pavement through a PTPv2 clock protocol, and obtains multi-modal information of a temperature field and a reflectivity spectrum; establishing a thermal expansion coefficient inversion model, generating a dynamic reflection reference field, and setting an abnormal triggering mechanism to mark a deformation sensitive area; according to the method, a reflection suppression image is generated by establishing a thermal expansion coefficient inversion model and a hot spot physical model, so that multi-modal thermodynamic characteristic data and polarization-spectral characteristic data synchronously acquired by a thermal imager carried by an unmanned aerial vehicle and multiple sensors of a multispectral camera are fused, airfield pavement cracks are comprehensively and deeply detected, and the detection accuracy is improved. Therefore, micro cracks and hidden cracks are accurately identified, and the accuracy and reliability of crack detection are effectively improved.

The invention discloses a graph pattern generation method based on a Clarii graph, and relates to the technical field of information, and the method comprises the steps: constructing an extended fluorescent material calibration module, introducing a saturation critical light intensity reference value, and carrying out the calibration of the Clarii graph under the dual constraints of color temperature deviation distribution and brightness standard deviation; according to the method, the pattern contrast change condition is recognized through the adjusted pattern contrast, a correction index is formed, the LED backlight wavelength is corrected for the second time according to the correction index, pattern structure deviation information is fed back to a spectrum control link, and the color uniformity of the LED backlight is improved. According to the scheme, on the premise of ensuring uniform fluorescence response and inhibiting bright spots, dark spots and stripes, the Clariy pattern can be kept stable, clear and layered in an actual application environment.

The present invention discloses a method, system, device and medium for intelligent prediction of low-velocity mudstone, including: calibrating the target layer by combining well logging data, and dividing the layer into background mudstone, low-velocity mudstone, gas-bearing sandstone and dry-layer sandstone. Based on the division results, a large number of datasets for neural network training are generated through geological body evolution. A convolutional neural network (CNN) is constructed, and the input data is normalized to prevent gradient explosion. By training the model, an optimized neural network model is obtained. Using the AVO prestack inversion technology, the longitudinal and transverse wave velocities and density parameters are extracted from the prestack seismic data to assist in the identification of low-velocity mudstone. The processed data is input into the trained model to achieve intelligent prediction of low-velocity mudstone. The present invention can effectively improve the identification accuracy of medium-deep reservoirs, avoid misjudgment caused by the "bright spot trap" of low-velocity mudstone, and provide reliable technical support for oil and gas exploration.

The invention relates to the technical field of atmosphere lamps, in particular to a device and method for improving bright spots of an atmosphere lamp, and the device comprises a first outer cover, a light emitting surface is fixedly mounted at the top end of the first outer cover, a lens is fixedly mounted at the bottom end of the light emitting surface, square grooves are symmetrically formed in the lens, and black supports are fixedly mounted in the square grooves; a Y-shaped light guide is fixedly installed in the center of the bottom end of the lens, a lamp holder is fixedly installed at the bottom end of the interior of the first outer cover, the first outer cover further comprises an alignment component and a supporting device, the alignment component is slidably connected to the bottom end of the supporting device in an inserted mode, the alignment component comprises limiting devices and a sealing device, and the limiting devices are symmetrically and fixedly installed on the two sides of the sealing device. Through the arrangement of the square groove, the black support and the alignment component, the purpose that when the atmosphere lamp is used, hot spots are removed, and synchronous heat dissipation of the interior of the shell is integrated is achieved.

The invention discloses an anesthesia preoperative risk assessment method and system based on multi-source data fusion, and relates to the technical field of medical informationization, and the method comprises the following steps: S001, building a cross-time-scale illumination and skin state combined observation baseline, injecting a micro-amplitude polarization mark in an image collection chain, and obtaining an image collection chain; extracting a hot spot track and a boundary definition curve through frame-by-frame image analysis, and constructing a time reference point set of a reflection behavior; and S002, based on the time reference point set, executing optical reflection decomposition on the observation image sequence, separating mirror reflection and diffuse reflection components under a unified light field model, generating a double-domain characteristic spectrum of a reflection domain and a blood flow response domain, and constructing an artifact risk map. According to the method, the time reference point and the polarization mark are constructed, illumination and reflection behavior modeling and separation are achieved, anti-fact playback, causal checking and dynamic regulation are combined, artifacts are accurately removed, real blood flow features are extracted, and the accuracy and stability of preoperative risk assessment are improved.

The invention provides an optical system and photocuring 3D printing equipment, and belongs to the technical field of printing equipment. The optical system comprises a plurality of light-emitting assemblies used for emitting light. A plurality of collimation assemblies, wherein one collimation assembly is arranged corresponding to each light emitting assembly; light of each light-emitting assembly penetrates through the collimation assembly and irradiates on a target plane to form an illumination area; the controller is electrically connected with each light-emitting component and is used for independently controlling each light-emitting component; the lighting areas of every two adjacent light-emitting assemblies are at least partially overlapped to form an overlapped area, and the light intensity of the overlapped area is 80%-120% of the light intensity of a non-overlapped area in the lighting areas. Wherein the plurality of light-emitting assemblies are independently controlled by the controller, and compared with a traditional full-on and full-off light source setting mode, light interference can be reduced, and the contrast ratio can be improved; the controller controls the opening number of the peripheral light-emitting assemblies, so that the light intensity of the overlapping area is 80%-120% of the light intensity of the non-overlapping area, the possibility that dark spots or bright spots appear in the overlapping area is reduced, and the good light uniformizing effect is achieved.

The invention belongs to the technical field of optical equipment detection, and particularly relates to optical lens defect detection equipment which comprises a bottom plate, a supporting column rotationally installed on the bottom plate, a telescopic pipe fixedly installed at the top end of the supporting column, a suction cup fixedly installed at the top of the telescopic pipe, and an electric push rod fixedly installed in the supporting column. A round block is fixedly installed at the output end of the electric push rod, a sliding groove is formed in the bottom plate and located on one side of the supporting column, and a sliding plate is slidably installed in the sliding groove. According to the whole device, the edge of the outer lens of the lens does not need to be manually coated with ink by personnel, the working efficiency of the personnel is greatly improved, meanwhile, dust attached to the surface of the lens can be scraped out, part of incident light rays cannot be shielded, shadows or scattered light spots cannot be formed, and the situation that the detection result is affected due to abnormal dark areas or bright spots in a detection image is avoided.

The present application relates to the technical field of visual target analysis, and discloses a dynamic bright spot target statistics and analysis method based on visual tracking. The method collects a reference video sequence to construct a background model database, acquires a real-time video stream data set, detects visual bright spot targets and calculates average brightness values as detection reference thresholds. The visual bright spot targets are analyzed in combination with the background model database to identify and mark potential abnormal bright spot targets. When there are potential abnormal bright spot targets, their spatial position information and motion trajectory features are extracted to determine whether they are real abnormal bright spot targets. After being determined as real abnormal bright spot targets, initial risk assessment values are calculated according to the occurrence frequencies, shape contour and size change features are extracted, and a feature matching algorithm is used for similarity grouping analysis. According to the analysis result, it is determined whether there is a dynamic flickering bright spot target. If there is, an adjustment factor is adjusted based on the flickering mode features to correct the initial risk assessment value, and the subsequent dynamic tracking frame rate is set according to the corrected value.

The application relates to the field of image processing, in particular to an LED double-lamp recognition method and device based on a monocular camera, equipment and a medium. The method comprises the following steps: ensuring data real-time by collecting video frames at a preset frequency, accurately distinguishing constant light and flickering light spots by using bright spot recognition and feature screening, and effectively excluding environmental interference; accurately associating the double-lamp spots of the same vehicle in space and time by using an association matching technology, and improving the accuracy of target vehicle recognition; predicting the vehicle trajectory based on Kalman filtering and other algorithms, and comprehensively judging the line-crossing event by combining the line-crossing time difference and the speed condition, which not only improves the smoothness and anti-interference ability of vehicle trajectory prediction, but also enhances the reliability and accuracy of line-crossing detection, so that the method has high robustness and practicality in complex scenes.

The invention discloses a household oral health monitoring system and method based on image recognition, and is suitable for performing adjacent surface demineralization monitoring of multi-frame angle scanning shooting on a target adjacent surface contact point neighborhood under the condition of light supplement by a user handheld device in a household non-diagnosis and treatment environment. Aiming at the problems that a deep reflective strong bright spot is easily formed in an interdental space through region and is overlapped with a suspected demineralization bright spot on an adjacent surface shallow layer to induce a false focus, so that the risk score is unstable, and the risk score fails and lacks a re-mining basis, a blinding highlight area index sequence is constructed in the interdental space through region and a step blanking index is calculated; determining a cut-in point and a cut-out point of a measurement window by combining single-side shielding shadow boundary propulsion and a boundary quality threshold, extracting demineralization candidate responses only in the window, generating a normalized difference result based on attitude baseline calibration, and outputting an adjacent surface demineralization suspected area and a demineralization risk score; and when the window is not closed or too short, outputting a degradation mark and remining guidance and applying confidence punishment to the risk score.

The utility model relates to the technical field of lighting equipment, and discloses a lamp. The lamp comprises a light guide plate which comprises a front face, a back face and a side face serving as a light inlet face, and the light inlet face is provided with a convex arc-shaped area which is provided with a concave-convex structure; the lamp strip is matched with the light guide plate in shape and surrounds the light inlet surface of the light guide plate; a containing cavity is formed in the lamp holder, the light guide plate and the lamp strip are arranged in the containing cavity, the front face of the light guide plate faces the opening direction of the containing cavity, and the back face of the light guide plate faces the bottom face of the containing cavity. The arc-shaped area is provided with the concave-convex structure, the concave-convex structure can scatter light rays, the path of the light rays entering the light guide plate is changed, and therefore light ray focusing is avoided. The direction and distribution of the light are adjusted through the concave-convex structure, it is ensured that the light can be evenly spread in the light guide plate, formation of local bright spots and virtual images is remarkably reduced, and the overall lighting uniformity and the visual comfort degree are improved.