593 results about "Background light" patented technology

Disclosed in the present invention is a salient contour matching-based method for target measurement in a severe imaging environment. The method specifically comprises: (1) acquiring a binocular image of a target; (2) establishing a global-local joint constraint-based background light estimation model, and removing a scattering effect of a medium in an imaging environment to obtain a restored left eye image and a restored right eye image; (3) learning an original image, and on the basis of a residual between a network reconstructed image and the original image, obtaining target localization prediction maps of the left eye image and the right eye image; and (4) respectively extracting contour lines of the target in the left eye image and the right eye image, constructing feature matching descriptors of contour points, performing stereo matching on the two sets of contour lines by minimizing matching cost, and performing three-dimensional reconstruction on the contour lines in light of calibrated intrinsic and extrinsic parameters to complete the measurement of a key size. According to the present invention, the key sizes of different targets in a severe environment can be accurately measured, thereby providing an effective solution for the problem of measuring the sizes of targets in a severe environment.

The invention provides an inter-satellite laser data transmission method and system under background light interference, and the method comprises the steps: a satellite calculates an inter-satellite visible arc segment according to the GNSS information of the satellite and a link building satellite, generates an inter-satellite link building work task package according to an inter-satellite visible effective communication window, and forwards the inter-satellite link building work task package to a laser communication terminal; the laser communication terminal analyzes the inter-satellite link establishment work task package, completes single-machine power-up through autonomous program control, carries out scanning, capturing and tracking, and turns to an autonomous tracking stage; calculating an included angle between the background light vector and the optical axis in real time, judging whether the included angle is smaller than an autonomous avoidance angle, if so, performing autonomous avoidance operation by the laser communication terminal, and finishing a reset capturing and tracking task; if not, the satellites perform inter-satellite data transmission, the background light interference condition is judged in real time during transmission, a shutdown program is executed autonomously after inter-satellite communication is finished, and next inter-satellite link establishment transmission is waited. According to the invention, inter-satellite laser visible calculation, link establishment planning, sun-sun autonomous forecast and avoidance and autonomous program control data transmission are realized.

The embodiments of the present application provide a method, device, storage medium and electronic device for blurring a target object. The method for blurring a target object includes: acquiring an image to be blurred; obtaining a segmentation map and a background segmentation map of the target object based on the image; performing light spot detection on the background segmentation map to obtain a light spot detection map, and obtaining a light spot weight map based on the light spot detection map; obtaining a background light spot blur rendering map based on the light spot weight map; fusing the background light spot blur rendering map with the segmentation map of the target object to obtain a target object light spot blur rendering map. The method for blurring a target object in some embodiments of the present application can make the blurring effect more natural, the light spot clearer, and the simulated light spot effect close to the shooting effect of a SLR.

The invention discloses a transformer oil leakage detection method and device based on polarization-ultraviolet fusion imaging, and the device comprises a housing, a support, a camera, an environment induction device, an overall controller, a power supply, a polaroid rotating wheel assembly, a lens seat assembly, and an image processor. And the motor driver, the illumination intensity sensor, the ultraviolet irradiance sensor, the image processor and the power supply are electrically connected with the integral controller respectively. According to the invention, a multi-angle polarization image and a non-polarization image in the same field of view can be acquired, and then polarization characteristics contained in an oil stain fluorescence signal are extracted and effectively distinguished from non-polarization characteristics of background light; in the daytime mode, the transformer oil leakage detection device can identify a target area with relatively high polarization intensity, and through image fusion enhancement processing, non-target background signals are significantly suppressed, and the fluorescence significance of an oil leakage characteristic area is improved.

The invention provides a distribution network electrical equipment defect identification method based on image voiceprint multi-modal data. Comprising the following steps: constructing an image complex mapping model according to a mapping relation between a light distribution signal and a light source position and a light source light intensity, and establishing first relation knowledge among background light intensity, local light intensity change polarity, absolute brightness change and equipment internal defect characteristics; constructing a voiceprint complex mapping model according to the mapping relationship between the voiceprint signal and the internal defect feature of the equipment, and establishing second relationship knowledge between the local sound pressure change polarity, the frequency change, the absolute sound pressure change and the internal defect feature of the equipment according to the voiceprint complex mapping model; and constructing an electrical equipment defect identification model according to the image complex mapping model, the first relation knowledge, the voiceprint complex mapping model and the second relation knowledge, and identifying the defect of the distribution network electrical equipment by adopting the electrical equipment defect identification model. The problem that an existing equipment defect identification method is low in defect identification accuracy is solved.

The invention discloses a spectrum confocal detection device with a high signal-to-noise ratio, which comprises a light source, and a first lens group, a transmission area of a light splitting component and a second lens group which are sequentially and coaxially arranged and are jointly used for guiding incident light emitted by the light source to the surface of a detected object after dispersion and focusing, and enabling light with a target wavelength to form a focusing light spot, the light of the non-target wavelength forms a dispersion light spot at a position different from the focusing light spot; and the second lens group, the reflection area of the light splitting component, the third lens group, the first spatial filtering structure and the spectrum acquisition unit are sequentially arranged according to the reflection light path and are used for receiving the reflection light reflected by the measured object, and the reflection light enters the spectrum acquisition unit after being reflected, focused and filtered so as to acquire spectrum information. The advantages of a triangular structure and a coaxial structure are combined, and the problem that an existing spectrum confocal detection system is affected by background light, so that the signal-to-noise ratio of an obtained spectrum is low can be solved.

The invention discloses an underwater image de-scattering method, system and device for scattering field decoupling in the technical field of underwater optical imaging and computer vision, and the method comprises the steps: calculating an intensity graph and a scene linear polarization degree graph according to an obtained multi-scale underwater image; according to the intensity image, performing image signal decomposition by using a dynamically constrained background light separation model to obtain a background scattering component and a target feature component; according to the scene linear polarization degree map and the background scattering component, calculating fusion transmissivity according to a non-linear optical transmission equation; carrying out noise suppression processing on the fusion transmissivity by adopting a double-constraint optimization architecture to obtain the fusion transmissivity subjected to noise suppression processing; and performing image reconstruction through a reverse optical propagation model according to the fusion transmissivity and the target feature component subjected to noise suppression processing to obtain a scattering-removed underwater image. The method effectively breaks through the dependence of a traditional method on the uniform hypothesis of a scattered field, and provides high-precision visual restoration support for an underwater detection task.

The invention discloses an LED (Light Emitting Diode) energy-saving street lamp system self-adaptive to an ambient light effect and an illumination adjusting method thereof, and belongs to the technical field of novel illumination control and green energy conservation. The system comprises a light environment sensing module, a traffic flow monitoring module, an LED driving power supply and an electroluminescent illumination module composed of a plurality of light emitting diodes. The main control module is configured to execute active lighting effect decoupling logic, namely, when the electroluminescent lighting module keeps steady-state lighting, the driving power supply is controlled to inject a micro-disturbance modulation signal which cannot be perceived by human vision into output current, and illuminance response data of the light environment perception module are synchronously collected; the road surface reflectivity coupling coefficient is obtained in real time by calculating the change ratio of the response data to the modulation signal, then the reflected light component excited by the street lamp itself is accurately removed from the total illumination value, and the pure environment background illumination is decoupled. The problems of misoperation and energy waste caused by self-luminous interference of a traditional light-operated street lamp are solved.

The invention relates to the technical field of adaptive optics, and particularly provides a wavefront detection system for a dark and weak target under a strong sky background, the wavefront detection system comprises a Shack-Hartmann wavefront sensor system and a wavefront detection processing unit, the Shack-Hartmann wavefront sensor system carries out wavefront detection on a short wave infrared band of 1.3-1.7 [mu] m, and the wavefront detection processing unit carries out wavefront detection on the short wave infrared band of 1.3-1.7 [mu] m. And the wavefront detection processing unit corrects a sub-aperture image obtained by detection through a weighted self-threshold local contrast algorithm, performs self-threshold operation on pixels in a center unit according to a gray scale ratio weight of the center unit and a background unit of the sub-aperture image, introduces an energy weight to eliminate PNHB noise, and reconstructs a centroid of the sub-aperture image. According to the invention, a Shack-Hartmann wavefront sensor system is applied to a short-wave infrared band, so that a sky background spectrum is effectively blocked, the target brightness is ensured, background light radiation photons received by a detector are reduced to the greatest extent, various noises and background interferences are inhibited by optimizing a threshold algorithm, and the wavefront detection precision is remarkably improved.

The invention provides a multimedia visual auxiliary control system based on myopia defocus. The multimedia visual auxiliary control system comprises a virtual content display module and a virtual content regulation and control module, wherein the virtual content display module is used for displaying virtual content on eyeballs of a user; a long-range background light beam is transmitted through the virtual content display module and then enters eyeballs of a user; the virtual content regulation and control module is used for regulating the focusing position of the virtual content, and when a user watches the virtual content, myopic defocus is generated by the distant scene background light beam; an electronic display screen light source is combined with natural light, retina defocus difference is brought through lens near stimulation adjustment, and myopic defocus is generated. By means of the scheme, eyeballs can naturally and comfortably receive stimulation of natural light in an open environment, and meanwhile a long-time reading task can be achieved.

Systems and methods are provided for time resolution of signals produced by the emission of energy. More particularly, systems and methods are provided for measuring distance using photons propagating in a scattering medium to produce multi-dimensional, measurements of objects in a media and / or the media itself by virtue of the character of light spatially scattered and absorbed in the media resulting from the transmission of light into the media, such transmitted light having some temporal character that distinguishes it from background light, e.g., ambient sources. A method for obtaining terrestrial LiDAR data generally includes: providing a LiDAR system moving traverse to a ground canopy; emitting light pulses from the LiDAR system toward the ground canopy and terrain such that the light pulses reflect therefrom; and receiving the reflected light pulses at the LiDAR system; wherein the LiDAR system includes a monolithic module comprising a photonic device, a sampling module, a digitizing module, and a readout integrated circuit (ROIC).

The invention discloses a step refractive index fiber endoscopic bending microscopic imaging loss recovery method and device. The method comprises the following steps: s1, searching and removing an image loss part in a step refractive index fiber endoscope scanning image; s2, image restoration: carrying out feature matching on the two displacement pictures processed in the step s1 to calculate x-direction and y-direction displacements of the two images, and then aligning and fusing the two images in a Poisson fusion mode to repair image loss parts; and s3, background denoising: estimating transmissivity by calculating a dark channel and a background illumination value, and denoising the image according to the transmissivity to obtain a denoised image. According to the method, through frequency domain low-pass filtering and feature matching fusion, lost image center information is successfully recovered, image center details are effectively recovered, and image recovery can be realized through processing of an imaged image.

The invention discloses a preparation liquid quality detection method, which belongs to the field of assisted reproduction, and comprises the following steps: collecting an original image of a culture solution preparation liquid, and reducing the width and the height in equal proportion; estimating the background light intensity of the reduced image based on a Gaussian blur function to obtain a background image; subtracting the background image from the shrunk image to obtain a foreground image; performing normalization and binarization processing on the foreground image; the contour breakpoints of the processed image are connected through closed operation, and a processed image is obtained; carrying out object contour searching on the processed image, extracting and representing an object contour in the image, and eliminating burrs and noisy points of a contour curve to obtain a final image; the contour area of the final image is calculated, liquid drops, bubbles and impurity contours are screened out according to the area, impurities and bubbles are distinguished according to roundness and gray values, the roundness and height of the contour of the liquid drops are calculated, the quality evaluation indexes of the existence of the impurities and the bubbles and the form quality of the liquid drops are given, the quality of the prepared liquid can be accurately and automatically evaluated, and the culture dish for completing the prepared liquid does not need to be manually screened.

The invention belongs to the related technical field of three-dimensional shape measurement, and discloses a three-dimensional shape measurement method and system based on continuous vertical scanning structure illumination, and the method comprises the steps: S1, collecting a structured light image of a to-be-measured sample at each scanning position; s2, carrying out background light intensity estimation by using the adjacent structured light images in the time domain, obtaining a uniform illumination image, and correcting the structured light image; s3, performing high-pass filtering on the uniform illumination image to obtain high-frequency in-focus information; performing low-pass filtering on the corrected structured light image to obtain low-frequency in-focus information; fusing the two to obtain an optical tomographic image of the to-be-detected sample; and S4, obtaining the three-dimensional shape of the to-be-detected sample. According to the method, a continuous scanning structured light illumination measurement method is adopted, only one structured illumination phase shift cosine fringe pattern is collected at each scanning position, and high-precision chromatography extraction is carried out, so that high-precision chromatography imaging under the condition of an uninterrupted continuous scanning mode can be realized, and the measurement speed and precision are greatly improved.

The utility model provides a metasurface type speckle projector and depth detection equipment, which can realize a speckle projection function based on a light source array by using a metasurface and avoid the problem of zero-order bright spots or stronger background light generally existing when a diffractive optical element is used. The metasurface type speckle projector comprises a light source array used for emitting a plurality of conical light beams arranged in an array; the light modulation element has positive focal power, is arranged on the light emitting side of the light source array and is used for collecting the conical light beams from the light source array; and the metasurface element is arranged on one side, far away from the light source array, of the light modulation element and is used for regulating and controlling the light beams gathered by the light modulation element so as to form a plurality of collimated light beams projected towards different directions.

The invention discloses a space-time fringe analysis method based on physical prior guidance. The method comprises the following steps: firstly, acquiring a stripe sequence taking a target frame as a center, and separating background light through a background estimation network to obtain background light intensity; then, under the assumption of constant brightness and small displacement, an optical flow pixel alignment module is used for estimating inter-frame optical flow, and sub-pixel-level registration is carried out on the subsequences; and finally, inputting the alignment sequence into Attention U-Net with an attention mechanism to carry out space-time phase demodulation, and outputting a target frame phase. And then phase unwrapping is carried out, and three-dimensional reconstruction is completed in combination with system calibration parameters. In the training stage, a space-time consistency loss function and a frequency domain consistency loss function are introduced to improve the generalization ability. The method has high phase demodulation precision and time sequence stability in a low signal-to-noise ratio and fast motion scene, and is suitable for high-speed three-dimensional measurement engineering application.

The invention discloses an underwater image degradation diffusion self-supervised enhancement model and a building and training method, and relates to the technical field of underwater image enhancement. The invention provides an underwater image degradation diffusion self-supervised enhancement model and a building and training method for the problem of target detection performance reduction caused by underwater image quality degradation, the model built by the method is combined with the differential thought of a Koschmieder illumination scattering degradation model and a diffusion model, the degradation process of a real underwater environment is simulated, and the target detection performance is improved. Self-supervised training data is generated, dependence of a traditional method on manual annotation data is avoided, image features are extracted through a ResNet50 backbone network, global background light and transmission rate are predicted in parallel, a clear image is reversely recovered by using a physical formula, transmission rate consistency loss, background light consistency loss and reconstruction loss are also proposed, an unsupervised optimization target is constructed, and the self-supervised training data is obtained. And the accuracy and stability of model training are ensured.

The invention discloses a ranging communication fusion miniaturized system and method based on single photon detection. The system adopts a time division multiplexing common-path structure, and a ranging pulse sequence and a communication pulse sequence are sequentially transmitted in the same detection period to form a PPM modulation laser pulse chain. A single-photon detector is adopted to receive signals, background light interference is suppressed by combining a narrow-band filter and a time gating technology, and the type and boundary of a pulse sequence are identified through a signal demodulation and discrimination module. When the distance measurement pulse sequence is identified, the distance measurement path realizes distance measurement based on the round-trip time of the distance measurement pulse in the period; when a communication pulse sequence is identified, the communication path demodulates the PPM communication data. The method effectively decouples the contradiction between the distance measurement fuzzy and the communication rate, supports communication pulse high repetition frequency modulation while realizing non-fuzzy distance measurement, improves the distance measurement precision and the communication rate, and is suitable for free space communication, mobile robot platforms and other application scenes.

The invention relates to an underwater image restoration method based on multi-scale color compensation and adaptive deblurring, and the method comprises the steps: inputting an original underwater image, and building an underwater optical imaging model of the underwater image according to the optical characteristics; removing color deviation of the underwater image by adopting a multi-scale color compensation algorithm to obtain an image after color correction; estimating global background light of the underwater image based on a secondary hierarchical search algorithm of optical prior; estimating the transmissivity of the underwater image based on an adaptive dark channel algorithm; and according to the established underwater optical imaging model, combining the obtained global background light, the transmissivity and the image after color correction, and obtaining a restored underwater image through inverse transformation. Compared with the prior art, the method has the advantages that the color deviation of the underwater image can be effectively corrected, the image contrast can be enhanced, the method can cope with underwater scenes with different degradation degrees, and the generalization ability is high.

A visible light communication apparatus comprising: multiple sources, at least one source being a light source configured to transmit a data signal; and a receiver comprising a polarizer, operating in a visible light spectrum, the receiver configured to receive visible light energy from the one or more sources; the polarizer configured to filter multiple noise signals and allow the data signal to pass through to the receiver. Allows more signal light than background light to reach the sensor, the polarizer improves signal to noise ratio for outdoor visible light communication.

The invention discloses a gas leakage detection imaging device and method based on a single photon detection technology, and belongs to the technical field of gas detection and imaging. Aiming at the limitation problems of the existing gas leakage detection technology in the aspects of sensitivity, response speed, space imaging capability and anti-interference capability, nanosecond modulation control and synchronous photon counting are realized by utilizing an FPGA (Field Programmable Gate Array) through a visual gas detection imaging device combining an SPAD (Single Program Amplifier) array detector and a WMS modulation-demodulation mechanism; and the second harmonic of the absorption signal is further extracted by combining digital phase-locked amplification, so that gas leakage three-dimensional imaging with high spatial resolution, ppb-level sensitivity, strong background suppression capability and high time response is realized. The system has the advantages of high detection sensitivity, real-time imaging capability with high spatial resolution, high background light interference resistance and high signal-to-noise ratio, the demodulation method is novel, and the modular design has multi-gas compatibility and system expansibility.

The invention discloses a target detection method and device based on artificial intelligence, and relates to the technical field of artificial intelligence detection, and the method comprises the steps: collecting image data, determining the optical characteristics of the image data, and carrying out the quality screening according to the contrast; pixel enhancement is carried out based on the optical characteristics of the image data, Gaussian pyramid decomposition is carried out, and image components of different scales are generated; a feature map of a corresponding scale is determined based on the image components. According to the method, the distinction degree of the target and the background is improved through the characteristic difference between the brightness component and the background light, the details of the image are enhanced by combining the background light and the brightness component, the image quality in a complex environment is effectively improved, and the image quality is improved through the combination of the Gaussian pyramid and the wavelet decomposition. The multi-scale and multi-direction features of the target are effectively extracted, the target distinguishing capability in a complex scene is enhanced, and the balance of high-frequency and low-frequency features is ensured by a dynamic weight calculation mechanism.

The invention discloses a carbon brush ignition monitoring method, device and system and a storage medium. According to the invention, the basic light intensity of the background light in the carbon brush ignition monitoring system is introduced, and the ambient light is considered into the carbon brush ignition monitoring method. Firstly, the basic light intensity is compared with a set intensity value, and then the ignition state of the carbon brush at the current moment is determined based on a comparison result of a pulse parameter value and a set parameter value. In this way, the illumination intensity is used as one of the parameters for carbon brush ignition monitoring, and the accuracy of carbon brush ignition monitoring is improved.

The utility model discloses a display module and a household appliance display panel with double-layer diaphragms matched for display, and belongs to the technical field of display panels, the display module comprises a first diaphragm and a second diaphragm, the first diaphragm is located on the lower layer in the light source projection direction, the second diaphragm is located on the upper layer in the light source projection direction, and after the first diaphragm and the second diaphragm are matched with a light source, the first diaphragm and the second diaphragm are matched. The display module only displays the background image-text and the function key image-text. According to the utility model, the two diaphragms, the two groups of light guide plates and the double-layer diaphragm are matched to realize the display of images and texts, the upper light guide plate and the diaphragm realize the slight brightness and constant brightness of background light, and the lower light guide plate realizes the highlight of the images and texts corresponding to the area when the touch key area is operated, so that the operation of a user is more convenient. The background light sources and the touch key light sources on the upper layer and the lower layer are independently controlled, and the light guide plate is arranged in a double-layer mode, so that background images and texts and function key images and texts do not affect each other, and display of the background images and texts and the function key images and texts is attractive and striking.

The present invention improves distance accuracy by suppressing the influence of background light noise in a three-dimensional measurement device based on event data. A light source unit (10) irradiates an object (OB) with structured light including pulse light having a frequency different from that of the object (OB). An imaging unit (20) captures an image of the object (OB) that is irradiated with the structured light, and outputs event data for identifying the position of a pixel having a change in brightness. An event signal processing unit (40) calculates an event occurrence probability from the number of times of occurrence of the event with respect to the number of times of pulse light emission. An image generation unit (50) uses the event occurrence probability to determine a zone boundary used for spatial coding for distance image generation.

An LCD display unit for a reflection display system in a motor vehicle includes an LCD pixel matrix for selectively controlling picture elements for presenting a display image on a display area; a backlight arrangement, which is divided into selectively controllable dimming zones in order to illuminate regions containing multiple picture elements with background light; and a control unit, which is configured to control the LCD pixel matrix so that the display image is output, the display image being distorted using a warping function in order to compensate for a distortion of the display image as a result of reflection from a reflection region. The dimming zones have a shape and a size determined by the warping function.

The present invention relates to a single photon avalanche diodes-based time-of-flight sensor (100). The single photon avalanche diodes (SPADs) based time-of-flight (ToF) sensor (100) includes an Nx N single photon avalanche diode (SPAD) photodetector (101), a front-end (FE) unit (103), a pulse shaping (PS) unit (105), a pulse store unit (107), a peak detection unit (109), a digital logic unit (111), a timing processing circuitry unit (113), and memory elements unit (115). Due to integration of multiple units in single photon avalanche diodes (SPADs) based time-of-flight (ToF) sensor (100), the single photon avalanche diodes-based time-of-flight (ToF) sensor (100) accurately measures distance by adequate, suitable, and efficient elimination of background light.

The invention discloses a scattering characteristic adaptive polarization imaging non-uniform fog transmission method, which comprises the following steps of: acquiring polarization images at different angles, and calculating Stokes vectors, linear polarization degrees and dual-channel polarization intensity images of the images; constructing a non-uniform fog scattering feature, and estimating a dual-channel non-uniform scattering intensity image; estimating background light at infinity, and calculating a dual-channel polarization intensity transmissivity image; constructing an attenuation matrix of the polarization dual-channel variable-scale degradation model; a polarization dual-channel variable-scale degradation imaging model is constructed, and preliminary restoration of a dual-channel non-uniform fog scene is solved; and iterating the optimal polarization variable-scale degradation matrix to obtain a final restored image of the fogless scene. According to the scattering feature self-adaptive polarization imaging non-uniform fog transmitting method, the problems of overexposure and the like caused by target polarization information loss in a non-uniform fog scene are solved, complete removal of global non-uniform fog of the scene is realized, and target scene information is restored more clearly.

The invention discloses a deep learning method for uniform background light and shadow based on a Transform model. The method comprises the steps that an input image and a corresponding portrait main body mask are acquired, and the input image comprises an area with uneven background light and shadow; preprocessing the input image and the portrait main body mask, including image standardization and feature fusion, to obtain a fused feature map; based on a patch segmentation method, converting the fusion feature map into sequence features; encoding the sequence features to output enhanced sequence features, modeling a light and shadow distribution dependency relationship of full image pixels through a global attention mechanism, and distinguishing portrait main body features and background features based on the portrait main body mask; and based on the inverse logic of patch segmentation, recovering the enhanced sequence features into a spatial feature graph and the like. According to the method, semantic mask prior, global context modeling and adaptive residual correction are organically integrated, and a solution is provided for solving the core problem in background light and shadow homogenization.

The invention discloses an underwater image restoration method based on polarization imaging and low-frequency filtering, and the method comprises the steps: S1, collecting polarization images of different turbid water bodies at three angles through an underwater polarization imaging experiment platform, and calculating a Stokes vector of an underwater target scene; s2, calculating a polarization degree and a polarization angle image of an underwater target scene according to the Stokes vector, and establishing a target light model according to a relation of polarization information; s3, based on the low-frequency characteristics of the background light, extracting low-frequency background light components of the turbid polarization image at each angle, and calculating a corresponding background light Stokes vector according to the low-frequency background light components; and S4, the processed parameters are substituted into the imaging model, and the optimal cut-off frequency of the filter is adaptively determined in combination with enhanced measurement evaluation indexes, so that high-quality underwater image restoration is realized. According to the method, texture features and edge details of more target areas can be effectively restored.