302 results about "Exposure control" patented technology

The invention discloses a monitoring image processing method and system for high-precision target tracking, and belongs to the technical field of monitoring processing, and the method specifically comprises the steps: collecting polarization data of incident light in a monitoring scene, and generating a physical attribute signature of a light source; carrying out space-time clustering analysis on pixel points of which the variable quantity exceeds an environment illumination baseline in the monitoring scene to form a physical boundary of an illumination mutation region; obtaining motion trail data of the target vehicle, and generating a motion trail space area of the target vehicle; marking an overlapping region of the physical boundary of the illumination abrupt change region and the motion trail space region as a dynamic interference source influence region; if the predicted position of the target vehicle is located in the dynamic interference source influence area, calling an exposure control parameter and a gain control parameter corresponding to the physical attribute signature, calculating a focusing control parameter according to the scene depth of the predicted position, and loading the focusing control parameter to a sensor control unit; according to the method, the problem of target key frame loss caused by AE / AF delay under dynamic illumination is effectively solved.

The invention discloses a textile color difference detection method based on image data, and relates to the technical field of image processing and computer vision, and the method comprises the following steps: S1, collecting an image of a textile with a high reflection characteristic under a standard light source, constructing a light intensity prediction model, and carrying out the analysis based on pixel brightness distribution, identifying a brightness abrupt change region and a saturation critical region, and generating an image-level saturation risk probability graph; s2, performing multi-scale exposure area division on the image based on the image-level saturation risk probability graph, setting a target brightness range of each exposure control sub-area, and recording a global exposure parameter of the image acquisition equipment as an initial baseline of exposure scheduling; according to the method, pixel-level brightness convergence is realized through light intensity prediction and area exposure control, real color distribution is reconstructed in combination with color compensation, and a closed-loop process is constructed by introducing model self-correction, so that the detection precision and consistency of the micro chromatic aberration of the high-reflective fabric are improved, and the automation and industrial applicability are enhanced.

The invention discloses an internal combustion engine in-cylinder transient self-adaptive exposure control method based on FPGA acceleration, and belongs to the technical field of internal combustion engine endoscopic visualization. In order to solve the technical problem of image overexposure or underexposure caused by violent illumination change in the combustion process in an internal combustion engine cylinder, a real-time exposure detection unit is fused with a camera built-in sensor and an endoscope added sensor to monitor light intensity data; the adaptive exposure control unit accelerated by the FPGA adopts adaptive PID control and fuzzy logic control to generate a parameter adjustment direction, the adaptive PID dynamically adjusts gain based on a machine learning model, and the fuzzy logic outputs a decision according to a fuzzy rule base of brightness, light intensity and errors; the parameter adjusting unit adjusts the aperture size, the shutter speed and the light sensitivity in a linkage mode according to the target and actual gray scale difference value, and millisecond-level multi-parameter exposure control is achieved. Overexposure of a highlight area and loss of details of a low-light area are effectively avoided, and stable and clear images are obtained in the whole combustion process.

The invention relates to the technical field of image processing, in particular to an in-orbit multi-stage real-time automatic dimming device and method for a spaceflight area-array camera. According to the device, an imaging module obtains an original scene image according to set integral time and transmits image data to an image coarse adjustment module; the image coarse adjustment module counts gray level distribution of an original image in real time, calculates first updating integral time, packages image data without overexposure or underexposure and sends the packaged image data to the image fine adjustment module; after the image fine adjustment module receives the image, scene recognition and gray level evaluation are carried out through a deep learning model, exposure parameters are dynamically adjusted according to the scene type, and image exposure control is achieved; and the image coarse adjustment module and the image fine adjustment module form a two-stage closed loop, so that the imaging module obtains integral time matched with a scene in real time. The method has the advantages that the integral time of the detector is automatically adjusted according to the detail content of the target scene, and the target image with the best image impression and detail is captured.

The invention discloses a displacement detection method and system for structural health monitoring. The displacement detection method comprises the following steps: step 1, building a displacement detection system; step 2, carrying out image acquisition and preprocessing by using the displacement detection system; 3, performing light spot identification and center coordinate extraction on the preprocessed image; 4, performing error compensation on an output result in the step 3 to obtain compensated data; and 5, transmitting the compensated data to a cloud server, and carrying out structural health intelligent analysis. According to the invention, high-dynamic exposure control and image adaptive enhancement are supported; the system has the comprehensive anti-interference capability on strong light interference, shadow shielding, thermal drift, vibration disturbance and light spot distortion; a double-level error modeling mechanism is introduced into the filtering algorithm, and high-frequency jitter and low-frequency drift are effectively filtered out.

The invention provides a vehicle management method based on visual identification. Comprising the following steps: performing visual image acquisition and basic feature identification on a vehicle in a target area, executing multi-source interference perception, acquiring raindrop volume concentration, a strong light incidence angle, vehicle tail gas heat flux density and a light intensity sudden change rate of the target area, and generating multi-factor coupling interference intensity data; executing dynamic exposure control based on the multi-factor coupling interference intensity data, outputting an exposure compensation coefficient and driving an image acquisition unit to adjust the shutter speed and the exposure duration; performing distortion correction feature extraction based on the image after exposure compensation coefficient correction, calculating image marginal definition and feature matching frequency deviation, and generating feature extraction confidence; judging whether to output a vehicle management recognition result or not according to the feature extraction confidence; the method can effectively deal with the composite interference scene, and solves the problems of low recognition precision and response lag.

The invention discloses a scanning type exposure method and system adopting a parallel digital micromirror array, and relates to the technical field of photoetching exposure and maskless direct writing of mask.The scanning type exposure method comprises the steps that parallel digital micromirror initial mapping is established through a reference target exposure detection registration method; generating a block distortion field parameter table according to the initial mapping of the parallel digital micromirror, determining a micro-mark insertion position based on the block distortion field parameter table, and generating an expected coordinate; performing micro-mark exposure on the expected coordinate position, acquiring imaging data of the inserted micro-mark position, extracting an actual measurement coordinate from the imaging data of the micro-mark position, calculating a residual error by taking the expected coordinate and the actual measurement coordinate as an input difference, and writing the residual error into a residual error set; incremental fitting is carried out according to the residual set, the block distortion field parameter table is updated, and the exposure controller controls the parallel digital micromirror array to remap the pattern according to the updated block distortion field parameter table and triggers exposure. The method provided by the invention has better effects in coordinate mapping consistency and block parameter manageability.

The invention relates to the technical field of biomedical engineering. The invention discloses a multi-physiological parameter detection method and device based on an automatic multi-exposure control algorithm, terminal equipment and a storage medium. The accuracy of detecting multiple physiological parameters can be improved. The method comprises the following steps: carrying out video recording processing on a plurality of parts of a target user by adopting a target sensor to obtain an initial video; performing exposure time calculation processing on the initial video by adopting an automatic multi-exposure control algorithm to obtain target exposure time corresponding to each part; when the target sensor continues to carry out video recording processing on the multiple parts, the exposure time of the target sensor is alternately switched according to the time sequence based on all the target exposure time, and images captured by the target sensor after each switching are sequentially integrated to obtain a target video; and performing physiological parameter detection processing on the target video to obtain physiological parameters corresponding to each part.

An auto-exposure control is proposed for high dynamic range images, along with a neural network for exposure selection that is trained jointly, end-to-end with an object detector and an image signal processing (ISP) pipeline. Corresponding method and system for high dynamic range object detection are also provided.

An auto-exposure control is proposed for high dynamic range images, along with a neural network for exposure selection that is trained jointly, end-to-end with an object detector and an image signal processing (ISP) pipeline. Corresponding method and system for high dynamic range object detection are also provided.

A technique of camera exposure control for vision-based navigation of an unmanned aerial vehicle (UAV) includes acquiring an aerial image of a ground area below the UAV with an onboard camera system of the UAV, estimating a visual motion factor based on a speed of the UAV and an altitude of the UAV, and adjusting an exposure control setting of the onboard camera system based on the visual motion factor.

An auto-exposure control is proposed for high dynamic range images, along with a neural network for exposure selection that is trained jointly, end-to-end with an object detector and an image signal processing (ISP) pipeline. Corresponding method and system for high dynamic range object detection are also provided.

The invention discloses a metal polishing surface quality real-time monitoring system and method based on machine vision, and relates to the technical field of surface detection, and the method comprises the following steps: carrying out grid processing on a metal workpiece surface image collected by a machine vision system, dividing the whole image into a plurality of sub-regions with the same size according to a preset grid rule, and a local area basis is provided for subsequent feature extraction and polishing state analysis. According to the method, the overall polished surface is split into a plurality of local sub-regions through image gridding processing, so that finer optical feature extraction and polishing state recognition are realized, and normal and over-polished regions are accurately distinguished. Exposure parameters are dynamically adjusted according to different area states, local overexposure is inhibited, texture details are recovered, and the defect signal contrast is improved. Finally, according to the scheme, the defect of global exposure control is effectively overcome, high-precision and high-stability real-time monitoring of metal polishing surface defects is achieved, and the consistency and reliability of surface quality detection are improved.

The invention discloses a photoetching machine multi-light-source cooperative high-precision exposure control system, and relates to the technical field of photoetching machine control. Initial energy parameters of all light sources are obtained, a coupling feature set of energy change and light spot morphology change is constructed, and light intensity errors, phase errors and light spot distortion errors are used as input, so that a multi-light-source cooperative high-precision exposure control system is constructed; respectively generating an inter-light-source time sequence offset matrix and a light source energy compensation matrix, constructing a light source collaborative error model through matrix superposition and eigenvalue decomposition, inputting exposure disturbance obtained by real-time monitoring of a photoetching machine into the error model, and obtaining a primary compensation amount; a final target exposure compensation parameter is obtained by adopting a quadratic optimization algorithm under a constraint condition, and light source energy output, a light path phase and a pulse trigger time sequence are cooperatively adjusted according to the target exposure compensation parameter, so that energy deviation, phase drift and time sequence mismatch can be reduced at the same time, the exposure stability and the pattern forming precision are remarkably improved, and the image forming precision is improved. The method is suitable for high-resolution and multi-light-source photoetching equipment.

The invention discloses a six-axis X-ray automobile casting defect three-dimensional reconstruction detection method, relates to the technical field of intelligent manufacturing, and solves the problems of defect misjudgment caused by scattering artifacts in a non-uniform wall thickness or multi-cavity casting and reconstruction distortion caused by asynchronous moving images under high-speed scanning in the existing X-ray detection. According to the scheme, a ray configuration vector based on casting structure attributes is constructed, and is bound to a six-axis trajectory node in a path planning stage; generating an exposure control frame with synchronous postures and carrying out equipment response delay correction; image correction is carried out through a scattering inversion model, spatial offset is corrected through a coordinate mapping function in the back projection process, and meanwhile structural consistency constraint is applied to a reconstructed body; according to the method, the defect identification precision and the three-dimensional reconstruction quality of the casting with the complex structure under high-speed scanning are remarkably improved.

The embodiment of the invention provides an automatic exposure control method and device and electronic equipment, and relates to the technical field of image processing. The method comprises the steps that when it is detected that the shooting environment of a first camera changes, the exposure parameter of the first camera is adjusted according to the first exposure adjustment amplitude, and the exposure parameter of a second camera is adjusted according to the second exposure adjustment amplitude; the second exposure adjustment amplitude is greater than the first exposure adjustment amplitude; when the brightness of a second image acquired by the second camera is in a second target brightness stable interval, determining a first exposure amount required by the first camera according to the brightness of the second image at the current moment and the exposure amount of the second camera; and according to the first exposure quantity, adjusting an exposure parameter of the first camera, so that the brightness of a first image acquired by the first camera is in a first target brightness stable interval. According to the technical scheme provided by the embodiment of the invention, the convergence speed of the exposure parameter of the first camera can be improved.

An auto-exposure control is proposed for high dynamic range images, along with a neural network for exposure selection that is trained jointly, end-to-end with an object detector and an image signal processing (ISP) pipeline. Corresponding method and system for high dynamic range object detection are also provided.

In various embodiments, enhancements for low-touch biometric systems include obtaining winnowing information when a biometric probe unsuccessfully matches against a subset gallery. The winnowing information is used to obtain biometric data from an associated group of people and the biometric probe is then compared against the biometric data. If this also fails, identity information may be obtained and used to obtain a corresponding biometric template to match the biometric probe against. In some embodiments, enhancements for low-touch biometric systems determining a dominant by selecting the largest live face in an image then performing one or more actions using the dominant. Such one or more actions may include selecting the dominant for capture, performing exposure control and / or gain control on the dominant as opposed to the rest of an image, determining guidance to provide for biometric capture based at least on a position of the dominant, providing such guidance, etc.

An image capturing apparatus includes an image sensor, a determination unit, and a control unit. The image sensor is rotatable in a plane intersecting an optical axis, and accumulates electric charges at a different timing for each area. The determination unit is configured to determine an exposure time of the image sensor. The control unit is configured to select and execute one of first control to start exposure of the image sensor in response to movement of a first light shielding member and terminate the exposure in response to movement of a second light shielding member and second control to start exposure of the image sensor and terminate the exposure in response to movement of the second light shielding member. The control unit selects one of the first control and the second control based on information about the rotation of the image sensor and the determined exposure time.

The invention belongs to the technical field of photoelectric imaging, and particularly relates to an image quality simulation calculation method for a space telescope comprising a shutter. The method comprises the following steps: firstly, establishing a space telescope optical system model containing a shutter; next, calculating simulation image quality of the space telescope optical system model for controlling the whole exposure process, establishing a change relation of a shutter opening angle along with time according to a shutter driving curve, constructing a change relation of a field-of-view position and the shutter opening angle, and finally setting the working time length for controlling the whole exposure process, and selecting an observation view field needing to be calculated to carry out image quality simulation analysis. According to the method, the image quality result of each view field position is calculated by simulating the complete process of exposure control of the space telescope, and theoretical reference is provided for processing actual observation data; the influence of the shutter opening and closing process on telescope control exposure is calculated through a simulation result, and a theoretical basis is provided for optimization design of a shutter mechanism.

The present disclosure provides an exposure control method, device, equipment, chip, processor and medium, wherein the exposure control method comprises: acquiring a first image, wherein the first image comprises a plurality of pixel points; determining initial adjustment information of each gray region based on the plurality of pixel points and the brightness value of each pixel point; determining first adjustment information, second adjustment information and third adjustment information based on a plurality of initial adjustment information; determining a first exposure parameter according to the first adjustment information, a second exposure parameter according to the second adjustment information, and a third exposure parameter according to the third adjustment information, wherein the exposure time of different exposure parameters is not the same; and processing the first image according to the first exposure parameter, the second exposure parameter and the third exposure parameter to obtain a target image. The technical problem that the exposure control cannot be flexibly performed in the prior art and affects the image exposure effect is solved.

The present invention has an exposure control unit that generates a signal defining a plurality of second exposure periods that are included in a first exposure period corresponding to one frame and that are each shorter than the first exposure period. The present invention has a timing generation unit that generates a pulse signal defining time information within each of the second exposure periods. The present invention has a measurement unit that measures the number of pulse signals from initial detection of photons in each of the second exposure periods on the basis of the pulse signals generated by the timing generation unit.

The invention discloses a visual monitoring method for internal defects of a switch cabinet, and relates to the technical field of electrical equipment monitoring, and the method comprises the following steps: carrying out image distortion correction and real-time distortion correction; the method comprises the following steps: dividing a whole image into blocks according to the characteristics of high light and short time generated by arc discharge of a high-voltage switch, analyzing the brightness mean value of each block region, determining the exposure state of the current image, highlighting the concentrated brightness value of the region, and obtaining the brightness mean value, the maximum brightness value and the image overexposure proportion information required by subsequent exposure control; and the overexposure pixel proportion xi divides the overexposure state into five grades. By considering the characteristics of high strong light and short time generated by arc discharge of the high-voltage switch, the brightness statistics module and the exposure control module are adopted, so that clear and available images can be obtained in complex illumination scenes such as arc discharge, and the situation that internal details of the switch cabinet cannot be seen clearly due to overexposure or insufficient exposure of the images caused by factors such as strong light is avoided.

An imaging device according to one embodiment of the present disclosure includes a multispectral sensor section, a narrowband signal generator, and a controller. The multispectral sensor section outputs a plurality of (N) wavelength signals as pixel signals. The narrowband signal generator uses a coefficient matrix to generate, from the plurality of wavelength signals output from the multispectral sensor, a plurality of M (M>N) narrowband signals that is narrower in bandwidth than the wavelength signa. The controller calculates an evaluation value by performing weighted average processing on the plurality of wavelength signals or a plurality detection values generated using the plurality of wavelength signals, and performs exposure control of the multispectral sensor section on the basis of the calculated evaluation value.

A direct imaging system includes an optical modulator having multiple elements arranged corresponding to a sub scanning direction and for modulating light from a light source, and an exposure head for exposing the substrate with the light modulated by the optical modulator. A control part relatively moves the exposure head in a main scanning direction to expose the sub exposure area with the light modulated using a selection element, and after the sub exposure area is exposed, relatively moves the exposure head an amount corresponding to a sub exposure width in the sub scanning direction. Accordingly, exposure can be continued even if there is a defect in the optical modulator.

The invention discloses a write-through lithography machine and a scanning exposure method, and the write-through lithography machine scanning exposure method comprises the following steps: calculating to obtain a trigger period of a position synchronization signal as a theoretical trigger period according to a theoretical motion speed and a theoretical trigger interval of a lithography machine motion platform; determining the expansion and contraction coefficient of the position synchronization signal according to the demand trigger spacing and the actual trigger spacing of the exposure resolution demand of the exposure pattern area; obtaining an actual trigger period of the position synchronization signal according to the theoretical trigger period and the expansion coefficient; and performing synchronous exposure control according to the actual triggering period. According to the method, the expansion and contraction coefficient of the position synchronization signal can be subjected to expansion and contraction processing through the demand trigger interval and the actual trigger interval of the exposure resolution demand of the exposure pattern area, so that the actual trigger period of the position synchronization signal meeting the exposure resolution demand of the exposure pattern area is obtained, and the exposure resolution is changed; and the exposure resolution switching of different exposure pattern areas is realized.

There is provided an apparatus having an exposure head including K light-emitting chips arranged along a rotation axis of a photosensitive body. Light-emitting elements to form a latent image are arranged in each light-emitting chip. The apparatus includes: a dividing unit that divides image data into K pieces of partial image data for the K light-emitting chips that are temporarily stored in memory resources; and a control unit that controls output of the K pieces of partial image data from the memory resources to the K light-emitting chips. The control unit controls allocation of the memory resources to the K light-emitting chips based on information indicating which ones of odd-numbered and even-numbered light-emitting chips of the K light-emitting chips are arranged on downstream side with respect to the photosensitive body which rotates.

An exposure control unit, a timing generator unit, a metering unit, and a pulse control unit are provided. The exposure control unit generates a signal defining multiple second exposure periods contained within a first exposure period, which corresponds to a frame, each of which is shorter than the first exposure period. The timing generator unit generates a pulse signal defining the timing information within each second exposure period. The metering unit counts the pulse signal at or after the first photon capture in the second exposure period, based on the pulse signal generated by the timing generator unit. The pulse control unit performs pulse counting in a second exposure period following the first, based on a value from the metering unit.

A medical imaging device configured to spatially resolve recording of multispectral video data of an examination area of a patient including a light source having multiple optical emitters with different wavelengths in the visible and NIR spectral range. The light source has an emitter whose wavelength lies in the range of ±50% of its half-width around the intersection of the blue and green filter curves or the green and red filter curves, and the exposure control and the data processing means are arranged to separately detect the affected two of the red and green or the green and blue colour signals in an exposure pattern with activation of the emitter at the intersection point and to evaluate them in the multispectral analysis with mutually different wavelengths shifted by the two affected filter curves as two supporting point wavelengths.

The invention discloses a human face brightness statistical method, an exposure control method, equipment and a storage medium, and the method comprises the steps: carrying out the human face region brightness statistics in a YUV image outputted by an image processor, feeding back the calculated exposure offset to the image processor, and achieving the purpose of controlling the exposure of a human face region in real time. According to the method, brightness statistics can be carried out on multiple face areas of the output image, the Otsu method and the image morphology opening operation are sequentially adopted during statistics, the face pixel points are separated, interference of the background pixel points is eliminated, the problem that the statistical value does not conform to the actual face brightness during face brightness statistics can be effectively solved, and the face brightness statistics accuracy is improved. And meanwhile, the proposed exposure control strategy can effectively cope with various complex video scenes.