559 results about "Light exposure" patented technology

The invention discloses an X-ray detection image enhancement method and system, and the method comprises the following image enhancement steps: carrying out the gray preprocessing of an image, carrying out image enhancement preprocessing, carrying out homomorphic filtering enhancement processing, carrying out USM sharpening processing, taking a filtered image Ifiltering as an input, carrying out the processing of an input image through Gaussian blur, generating an enhanced image, and finally carrying out the tone adjustment. And carrying out color gradation adjustment on the enhanced image Ishadow to obtain a final target image Itarget. According to the method, firstly, multiple parameters such as exposure, brightness and contrast are adjusted for the original image, so that the overall quality of the image can be improved more comprehensively. Compared with the prior art, the multi-dimensional adjustment provides greater flexibility, so that the image can reach the optimal basic state before entering the subsequent processing. And a foundation can be laid for subsequent image post-processing, image analysis, image classification and image library and map establishment.

The invention discloses a drainage pipeline ultraviolet in-situ curing repair effect real-time evaluation method based on machine learning, and relates to the technical field of repair effect evaluation. Comprising the steps that historical parameters including the surface temperature, the surface humidity, the curing time and the ultraviolet irradiation intensity and corresponding curing material hardness values are collected and serve as input of a prediction model for training, and a curing hardness prediction model is established; the ultraviolet irradiation intensity in the repairing process is obtained, and correction is conducted in combination with the environment humidity. And real-time process parameters are collected, the model is input, and a real-time hardness value of the curing material is output. And after the hardness value is corrected according to the illumination uniformity, a repair effect evaluation index is generated in combination with the surface flatness, the crack shape index and the parameters of the sound wave signal. And through comparison with an evaluation threshold, outputting different repair effect evaluation results. According to the method, intelligent real-time monitoring and evaluation of the curing and repairing effect of the drainage pipeline are achieved, and the repairing quality and efficiency are improved.

A method for predicting risk exposure includes receiving a particular set of data acquired via a sensor. The method for predicting risk exposure further can include analyzing, via a machine learning (ML) model, the particular set of data. The analyzing can include determining that the particular set of data represents a particular light exposure pattern corresponding to a light exposure pattern correlated with a risk pattern. The ML model can be trained with a first set of data and a second set of data to identify a correlation between the light exposure pattern and the risk pattern. The method for predicting risk exposure also can include predicting a risk exposure for a user based on the particular set of data. The method for predicting risk exposure also can include providing a notice indicating the risk exposure.

The invention discloses an acer elegans cross breeding method based on flowering phase difference regulation and control, and belongs to the technical field of garden plant breeding. The method comprises the following steps: selecting an acer elegans variety of which the natural early flowering phase difference is greater than or equal to 10 days and the genetic distance is greater than or equal to 0.5 as a cross parent, carrying out low-temperature refrigeration and shading blue light supplementing treatment on a female parent to delay the flowering phase, and carrying out prolonged illumination, red light supplementing and hormone and nutrient solution spraying on a male parent to advance the flowering phase; male parent pollen is collected through a vacuum negative pressure adsorption device and stored in a closed container, a sucrose solution is sprayed to female parent stigmas before pollination, and repeated pollination is conducted through a directional nozzle at 9-11 o'clock every day; carrying out stratification treatment and temperature-difference temperature-control germination on the hybrid seeds, and carrying out light-temperature regulation and control seedling culture after sowing; the molecular marker is used for verifying the hybridization authenticity and target traits, phenotype determination is carried out on three-year-old seedlings to complete breeding, the hybridization obstacle caused by asynchronous flowering phases of the caenorhabditis elegans varieties is solved through the flowering phase regulation and control technology, and the hybridization success rate is increased.

One or more of the described systems, methods, and apparatuses relate to imaging devices with integrated light exposure control. An imaging device comprises an image sensor and a light modulation layer coupled to the image sensor. The light modulation layer comprises a plurality of liquid-crystal (LC) device pixels over the image sensor. The imaging device comprises control circuitry coupled to the image sensor and the light modulation layer. The control circuitry is configured to apply a transparency mask to the light modulation layer by modifying, based on at least one frame captured at the image sensor, pixel attributes of the plurality of LCD pixels for modulating exposure of the image sensor.

A resist composition which generates an acid upon light exposure and whose solubility in a developing solution is changed due to an action of an acid, the resist composition including a compound that contains a cation represented by General Formula (c0) in which X01 represents an electron-withdrawing group, X02 represents an electron-withdrawing group different from X01, R01 represents an electron-donating group, R02 and R03 each independently represents a substituent, nx1 and nx2 each independently represents an integer of 1 to 4, n1 represents an integer of 0 to 3, nx1+nx2+n1≤5 is satisfied, and n2 and n3 each independently represent an integer of 0 to 4

The invention discloses a self-adaptive power generation optimization control system for a greenhouse photovoltaic ceiling, relates to the technical field of ceiling power generation control, and is used for solving the problem that photosynthetic efficiency and yield are affected due to the fact that crops are in a state of insufficient illumination or excessive illumination in a growth stage. The method comprises the following steps: calculating illumination deviation by combining an illumination demand library and an illumination sensor; judging an illumination level according to deviation and photosynthetic response characteristics; collecting a leaf potential and a transpiration rate to calculate photosynthetic efficiency; comprehensively judging whether to adjust the angle of a photovoltaic panel, outputting an execution instruction, setting different control mechanisms, and executing a balance optimization strategy when the power generation efficiency is high. And when the power generation efficiency is low, an intelligent switching strategy is executed, the productivity is preferentially improved, the crop illumination tolerance is considered, the angle is dynamically adjusted, collaborative optimization of agriculture and energy is realized, and the adaptability and the operation efficiency of the system are improved.

The invention relates to the technical field of intelligent illumination control, and discloses an intelligent enhancement method and system for the brightness of an LED light-emitting module, and the method comprises the steps: collecting environment illumination data and LED module operation state data, and carrying out the preprocessing; acquiring cultural relic material information, performing exhibit change detection, determining an illumination constraint threshold, calculating effective illumination and tracking accumulated exposure; determining an illumination safety boundary and dynamically modulating an LED spectrum; performing hierarchical coordination by adopting a three-layer game decision framework; a three-dimensional light field representation framework is constructed through audience behavior perception and visual attention prediction, and space illumination optimization is carried out; environment sudden changes and audience behaviors are detected, and quick response adjustment is executed; analyzing lighting space-time distribution characteristics, performing dynamic power distribution and generating an intelligent dimming curve; according to the invention, environmental perception, cultural relic protection constraint, light attenuation compensation, multi-module cooperation and intelligent decision can be comprehensively considered.

The invention discloses a high dynamic range image processing method, electronic equipment and a readable storage medium, and relates to the technical field of image.The method comprises the steps that when shooting is carried out in an HDR mode, the exposure amounts and the frame numbers corresponding to a short exposure frame, a middle exposure frame, a long exposure frame, a first middle frame and a second middle frame are determined, the exposure amount of the first intermediate frame is greater than the exposure amount of the short exposure frame and less than the exposure amount of the intermediate exposure frame, and the exposure amount of the second intermediate frame is greater than the exposure amount of the intermediate exposure frame and less than the exposure amount of the long exposure frame; and generating a high dynamic range image according to the short exposure frame, the middle exposure frame, the long exposure frame, the first middle frame and the second middle frame. Based on the scheme of the invention, a relatively large exposure span can be set, and the HDR image is generated by fusing the original images with more than three exposures, so that a relatively wide exposure dynamic range is realized, the HDR image with a relatively wide dynamic range is obtained, and a relatively good HDR imaging effect is provided for a user.

A method performed by a computing system according to an embodiment of the present disclosure comprises: a step of determining a masked region of a current layer on the basis of a non-overlapping region between at least one previous layer among a plurality of layers and the current layer; and a step of updating the image of the current layer in accordance with a user input that sets an exposure amount with respect to the masked region of the current layer, the plurality of layers being designed to cure the photocuring material in order for each layer unit for 3D printing.

The invention relates to the technical field of image processing, and particularly provides an image processing method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring original RAW domain images of different exposures of a current scene in a night scene mode; carrying out RGB domain reconstruction on the original RAW domain image based on the plurality of RAW domain channels, and determining a normalized fusion weight map; the normalized fusion weight map comprises a first normalized fusion weight map of a normal exposure image and a second normalized fusion weight map of a short exposure image; based on the first normalized fusion weight map and the second normalized fusion weight map, sequentially performing pyramid fusion and RAW domain reconstruction on the normal exposure image and the short exposure image on each RAW domain channel to obtain a reconstructed image of each RAW domain channel; and recombining the reconstructed images of the plurality of RAW domain channels to obtain a target RAW domain image of the current scene. According to the invention, more night scene image information can be reserved, the calculation efficiency is high, the fusion effect is more natural, and the quality of night scene photographing is improved.

The invention relates to an image acquisition method and device, equipment, a storage medium and a program product. The method comprises the following steps: determining brightness characteristics of a preview image displayed in a viewing frame of image acquisition equipment; inputting the brightness characteristics into an exposure compensation model to obtain a target compensation proportion; performing exposure compensation on exposure parameters of the image acquisition equipment according to the target compensation proportion; and in response to an image acquisition instruction, performing image acquisition on the preview image according to the exposure parameter after exposure compensation to obtain a target image. By adopting the method, the accuracy of the exposure quantity adopted during image acquisition can be improved, so that the adaptability of the brightness of the acquired image and the ambient brightness is improved, and the image quality is further improved.

The embodiment of the invention relates to the technical field of intelligent driving, and discloses a head-up display indicating graph sharpening method and device and a head-up display, and the method comprises the steps: collecting a real-time environment image in front of a current vehicle; monitoring a head-up display area of the real-time environment image; and judging whether the light of the head-up display area is overexposed, if so, adjusting the position and brightness of the head-up display area and / or the color of the head-up display icon, otherwise, judging whether the main color composition of the head-up display area is similar to the color of the head-up display icon, and if so, processing the head-up display icon. According to the method provided by the invention, the position and brightness of the head-up display area and / or the color of the head-up display icon are dynamically adjusted according to the light exposure condition of the head-up display area by monitoring the influence of mixing of the head-up display icon and the current driving environment of the vehicle in real time, so that a driver can clearly distinguish the content of the head-up display icon; and the driving safety is improved.

A wireless Internet of Things (IoT) device for detecting light exposure is provided. The IoT device includes a light sensor having an organic active layer that detects an intensity of light; an integrated circuit (IC), wherein the integrated circuit includes an oscillating circuit that is coupled to the light sensor to output a frequency value for the detected intensity of light; and at least one harvesting antenna that harvests an ambient radio frequency (RF).

The invention relates to a metal workpiece surface image acquisition method and device based on multiple exposure. The acquisition method comprises the following steps: determining total exposure, and determining single exposure time and corresponding weight according to the total exposure; acquiring a surface image of the metal workpiece at each exposure time, and adjusting the surface image by using the corresponding weight; and combining a plurality of adjusted images to obtain a metal workpiece surface reflection-removed image. According to the method, a strategy of multiple times of irregular exposure is adopted, multiple times of short-time exposure is used for replacing one time of long-time exposure, a strong single light reflection area is avoided, light reflection is reduced, meanwhile, more image details are reserved, and the final image quality is improved.

The invention relates to a lighting device (100) for a motor vehicle headlight, comprising an optical body (1) and several light guide elements (2), wherein the light guide elements (2) with their light-emitting surfaces (2b) open into an optical body entry surface (11) opposite an optical body light-emitting surface (10) of the optical body (1). The light guide elements (2) are arranged such that the light-emitting surfaces (2b) of adjacent light guide elements (2) have a greater than zero distance to each other, so that a free area (12) is formed between each two adjacent light guide elements (2) on the optical body entry surface (11). Furthermore, the lighting unit (101) comprises an additional optical device (200), wherein the additional optical device (200) has at least one light coupling area (201) and one or more light coupling areas (202).wherein each light coupling area (201) is assigned at least one additional light source (250), and wherein at least a portion of the light coupled into the additional optical device (250) by an additional light source (250) via a light coupling area (201) propagates in the additional optical device (250) to one or more light output coupling areas (202) and exits the additional optical device (200) there, and wherein at least one, preferably exactly one, light output coupling area (202) is arranged between two adjacent light guide bodies (2) such that light exiting from the light output coupling area (202) can enter the optical body (1) via the free area (12) between the two light guide bodies (2) and propagate in the optical body to the optical body light exit surface (10) of the optical body (1).

The invention discloses a strawberry maturity rapid discrimination method and system based on machine learning, particularly relates to the technical field of agricultural image processing and identification, and is used for solving the problems of low efficiency and poor precision of strawberry maturity discrimination in the prior art. A strawberry picking area is divided into an immature area and a high-maturity area through a machine learning algorithm, and the handling capacity is reduced; and then evaluating illumination uniformity by using local entropy analysis in combination with a region segmentation and clustering method, analyzing water path directivity through a histogram of oriented gradient technology to evaluate a light receiving adequacy degree and a water aggregation degree, dynamically generating strawberry predicted maturity based on the two features, and automatically optimizing a picking sequence in combination with regional correlation analysis. And efficient and accurate judgment of the strawberry maturity is realized.

A method for avoiding strong light irradiation of a low-orbit spacecraft comprises the steps that 1, a low-orbit satellite starts ground strong light detection according to task requirements, and obtained detection telemetry information is sent to an on-satellite processing unit in real time; 2, the on-satellite processing unit judges and detects the effectiveness of the telemetry information; 3, the on-satellite processing unit interprets strong light energy and azimuth vector information, and obtains the current task state of the satellite, the solar wing attitude pointing information and the optical load pointing information at the same time; 4, evaluating the energy intensity of the strong light, judging the damage capability to the optical load and the solar wing, and carrying out corresponding operation; 5, after autonomous attitude avoidance and optical load pointing adjustment are completed, whether the strong light energy is eliminated or not continues to be judged; and after the strong light irradiation threat is relieved, the satellite-borne processing unit receives a ground remote control instruction and starts a new task. According to the method, the low-orbit satellite can avoid the threat of strong light, and the current situation that the current satellite has no prevention and resistance capability in orbit is changed.

The invention belongs to the technical field of three-dimensional point cloud acquisition, and particularly relates to a tunnel three-dimensional point cloud acquisition system and a structured light exposure adjusting system and method. The adjusting system comprises an image processing module and a controller. The image processing module obtains the proportion information of the number of pixel points in each interval in the structured light grayscale image; the interval is at least divided into two according to the gray level; the controller adjusts the exposure according to the proportion information until the quality of the obtained structured light image is qualified: if the proportion of the number of the pixel points in the low gray level interval is larger than a set threshold value and the proportion of the number of the pixel points in the high gray level interval is smaller than the set threshold value, the exposure is increased, and shooting is carried out again; and if the proportion of the number of the pixel points in the high gray level interval is larger than a set threshold value and the proportion of the number of the pixel points in the low gray level interval is smaller than the set threshold value, the exposure is reduced, and shooting is carried out again. According to the invention, the problem that the image quality and the three-dimensional point cloud generation quality are influenced by insufficient exposure or overexposure of the projection structured light is solved.

The invention discloses a spectrum control axis adjusting method and system for assisting myopia prevention and control, and relates to the field of biomedical engineering.The method comprises the steps that a user uploads personal information, meanwhile, current illumination data and eyeball movement data of the user are monitored and collected, and the personal information, the current illumination data and the eyeball movement data of the user are preprocessed; establishing a user spectrum model based on the preprocessed personal information and the current illumination data of the user, predicting the optimal spectrum combination of the user, adjusting the specific gravity combination of each wave band in the LED light source according to the prediction result, monitoring the actual spectrum entering the eyes in real time, and comparing the actual spectrum with the optimal spectrum combination of the user, adjusting the spectrum output of the LED light source according to the difference; by establishing the user spectrum model, the spectrum combination can be dynamically adjusted according to the real-time environment condition of the user, and it is ensured that the light condition most suitable for the user is provided. And the visual comfort of the user and the myopia prevention and control effect are obviously improved.

The utility model discloses a fruit tree seed germination and seedling raising device, and relates to the technical field of agricultural seedling raising equipment, in particular to the fruit tree seed germination and seedling raising device which comprises a box body, a breeding box assembly is inserted in the box body, thermal lamp assemblies are fixedly installed on the two sides of the inner wall of the box body, and a support assembly is connected to the lower surface of the box body in a clamped mode. When the seed breeding box is used, a person can add a proper amount of soil and fruit tree seeds into the seed breeding box, after a proper amount of water is poured into the seed breeding box, the electric push rod is started to enable the bottom box to be downwards collected into the box body, the cover plate is closed to wait for seed germination, the bottom box can be collected into the box body at night after germination, and the heat lamp can be started to heat and preserve heat in the box body when the temperature is low. Therefore, the situation that germinated seeds are frozen and the survival rate of fruit seedlings is reduced due to large temperature fluctuation in spring and autumn is avoided, the bottom box can be pushed upwards by starting the electric push rod in the daytime, the inner breeding box can be irradiated by external light, and growth of the fruit seedlings is facilitated.

The invention relates to a method for referencing a measuring light-emitting light-emitting surface of a target element, which can be used to determine the 6-DOF position of an object in space. The target element has a base with a mounting surface for attaching the base to the object and a light unit supported by the base. The light unit comprises the light-emitting surface and a primary light source for emitting primary light. The following method steps are performed: a) Arrangement of the target element in a measuring area of ​​a coordinate measuring machine; b) tactile determination of the geometric center of the light emission surface by means of multiple touches of the light emission surface of the target element; c) Creating images of the active light emission surface with a camera fixed to the coordinate measuring machine, whereby the images are taken from different defined angles and at equidistant distances to the geometric center of the light emission surface; d) optical determination of the energy center of a radiation characteristic of the light emission surface from an intensity distribution of the created images; and e) Comparison of the absolute accuracy of the geometric center determined by tactile determination and the energy center determined by optical determination.

To prepare a pixel define layer capable of improving the hue, impact resistance, reliability, and lifespan of an organic light-emitting display device.SOLUTION: A method for preparing a pixel defining layer comprises the steps for application and coating of a photosensitive composition, which is then subjected to pre-baking, light exposure, development, and post-baking. After the post-baking, the coating film has an optical density of 0.80 to 1.5 / μm, a plastic hardness of 350 to 470 N / mm2, and a modulus of 5,200 to 6,800 Mpa.SELECTED DRAWING: Figure 1

The invention provides an image exposure method and related equipment. In the method, the photometric strategy matched with the current scene is re-determined through the exposure value deviation of the current scene, so that more accurate photometric information is obtained, and after the photometric information is used for performing exposure processing on the image, the image with more appropriate brightness and better imaging quality is obtained, and the situation of large-area overexposure of the image is reduced. Specifically, as the exposure value deviation is used for measuring the difference between the exposure quantity required to be adopted when accurate exposure is carried out on a target image and the current exposure quantity, the larger the exposure value deviation is, the larger the possibility of inaccurate exposure (such as large-area overexposure) after exposure is carried out according to the current exposure quantity is, and the larger the exposure value deviation is, the larger the possibility of inaccurate exposure (such as large-area overexposure) is. At the moment, the photometry strategy should be adjusted in time to obtain more accurate exposure parameters and improve the final imaging quality.

Wearable systems and method for operation thereof incorporating headset and controller localization using headset cameras and controller fiducials are disclosed. A wearable system may include a headset and a controller. The wearable system may alternate between performing headset tracking and performing controller tracking by repeatedly capturing images using a headset camera of the headset during headset tracking frames and controller tracking frames. The wearable system may cause the headset camera to capture a first exposure image an exposure above a threshold and cause the headset camera to capture a second exposure image having an exposure below the threshold. The wearable system may determine a fiducial interval during which fiducials of the controller are to flash at a fiducial frequency and a fiducial period. The wearable system may cause the fiducials to flash during the fiducial interval in accordance with the fiducial frequency and the fiducial period.

The invention discloses a self-adaptive illumination adjustment image measurement method, and belongs to the technical field of image measurement. According to the method, adaptive adjustment is carried out on hardware and a related algorithm simultaneously according to environment illumination changes, the exposure amount of an image is changed by adjusting the exposure time of a camera on the hardware, and exposure adjustment is used for ensuring that the gray level distribution of an image sequence obtained by the camera in an interested area is consistent with that of a reference image as much as possible in the measurement process. Exposure adjustment of a camera is global adjustment for an image, and overexposure or underexposure pixel points still possibly appear in a local area of the image. Therefore, an illumination robust digital image correlation algorithm is provided, the gray level distribution of the sub-regions is adjusted in real time during correlation calculation, the registration precision of the sub-regions is improved by removing saturated pixels in the sub-regions, the sizes of the sub-regions are adaptively adjusted according to illumination changes, it is ensured that the sub-regions contain enough and rich gray level information, and the registration precision of the sub-regions is improved. And the robustness of a related algorithm in suppressing illumination interference is improved.

A transistor comprises a colored light shielding layer over the semiconductor layer thereof. The colored light shielding layer reduces exposure of the semiconductor layer to radiation having a wavelength of about 10 nanometers (nm) to about 400 nm. The colored light shielding layer may have a white, black, red, yellow, or gray color. The colored light shielding layer can be formed from a metal oxide film, a p-type oxide semiconductor, or a perovskite. The colored light shielding layer reduces defects that may be generated in the semiconductor layer due to UV light exposure during the manufacturing process, improving device performance and reliability.

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.

The invention provides an image automatic exposure method and device, a terminal and a storage medium. The image automatic exposure method comprises the following steps: acquiring a first image, a second image and exposure parameters of the first image and the second image; respectively carrying out a preset number of Gamma transformations on the first image and the second image to obtain a first type of images and a second type of images; determining brightness information entropies of the first type of images and the second type of images with the same transformation parameter and a first transformation parameter corresponding to the maximum brightness information entropy; determining a first update exposure based on the exposure parameter and the first transformation parameter of the first image, and determining a second update exposure based on the exposure parameter and the first transformation parameter of the second image; a joint exposure amount is determined based on the first updated exposure amount, the second updated exposure amount, a first brightness mean value of the first image, and a second brightness mean value of the second image. The method can improve the feature richness of input images of algorithms such as feature matching and depth estimation, and further improves the quality of the algorithms.

To provide a distance measuring device, a distance measuring system, a distance correction method, and a distance measuring program that can correct a distance error occurring between pixels included in a light receiving sensor due to the influence of a different multipath for every pixel.SOLUTION: A distance measuring device comprises: an irradiation unit that irradiates an object to be measured with measuring light; a light receiving sensor that receives reflected light from the object to be measured, and detects an amount of exposure based on the reflected light; a storage unit that stores correction information indicating a correction formula set including a plurality of correction formulas associated respectively with a plurality of pixels and application ranges of the correction formulas; and a distance calculation unit that calculates a measured distance to the object to be measured on the basis of the amount of exposure. The distance calculation unit corrects the measured distance for every pixel on the basis of the correction information stored in the storage unit, by using a correction formula corresponding to an application distance range including the measured distance, of the plurality of correction formulas included in the correction formula set, and thereby executes distance correction calculation of calculating a post-correction measured distance for every pixel.SELECTED DRAWING: Figure 1