94 results about "Gain coefficient" patented technology

The invention discloses a VGA (Video Graphics Array)-based 5G miniature optical transceiver module self-calibration method, which belongs to the technical field of optical transceiver module self-calibration, and comprises the following steps: S1, establishing a self-calibrated benchmark reference value through an initialization module and collecting environment parameters and benchmark optical parameters; s2, dynamically collecting and receiving optical power and environment change data, and judging whether deviation exceeds a threshold value or not to trigger model retraining by collecting actual operation data of environment parameters and driving parameters and combining a neural network model prediction target value; integration of a new data set and re-fitting of a non-linear relation enable the model to continuously adapt to the influence of long-term factors; key parameters such as a gain coefficient or a temperature compensation curve of a proportional-integral-differential control algorithm are dynamically corrected, long-term precision and reliability of a self-calibration system are guaranteed, and the problem of calibration failure caused by failure of a static model is avoided.

The invention discloses an LED liquid crystal display screen brightness and color difference detection and correction method and system, and belongs to the technical field of liquid crystal display. Initial brightness values and color values of all display units of a display screen are obtained; constructing a brightness and color difference reference model based on the convolutional neural network, and calculating a brightness deviation delta L and a color deviation delta C between the brightness and color difference reference model and a standard value; constructing a brightness-color difference error matrix W; according to the error matrix and in combination with a self-adaptive threshold algorithm, identifying a brightness-color difference abnormal region and corresponding coordinates of the brightness-color difference abnormal region; based on a deviation scoring result, introducing a gradient regression model to generate a brightness gain coefficient and a color adjustment coefficient, and constructing a correction parameter set P; the parameter set is issued to a control chip, dynamic image signal modulation and local frame level refreshing are executed, and point-by-point brightness and color difference correction is achieved; the method has the advantages of high precision, high automation, high adaptive capacity and the like, and is suitable for improving the brightness and color difference uniformity in various LED liquid crystal display screen scenes.

The invention discloses a method for searching the stroke center position of a rotor and camera module assembly equipment, which are applied to camera module assembly and comprise the following steps: S1, electrifying a motor, and adjusting the gain coefficient of an anti-shake part of the motor to keep the rotor of the motor stable in a no-load state; s2, the rotor is controlled to move to limit positions in the first direction and the second direction, magnetic potential values corresponding to the limit positions are obtained, and a target magnetic potential value corresponding to the stroke center position of the rotor is calculated based on the magnetic potential values of the limit positions; and S3, controlling the mover to move to a position corresponding to the target magnetic potential value, and completing repositioning of the stroke center position, so that gaps between the mover and the lens are uniformly distributed. According to the invention, the stroke center position of the motor rotor is dynamically fitted in real time.

The invention discloses a safety light curtain adaptive signal adjusting system comprising a signal transmitting module used for generating a periodic modulation light signal; the signal receiving module is used for receiving the periodic modulation optical signal generated by the signal transmitting module; the adjustable gain amplifier is connected to the signal receiving module; the signal intensity detection module is used for collecting amplitude characteristics of the output signal of the signal receiving module in real time; and the control module is used for automatically calculating and outputting a gain adjusting instruction through a closed-loop feedback mechanism based on the signal intensity data output by the signal detection module so as to dynamically adjust the gain coefficient of the adjustable gain amplifier. Through a closed loop feedback control mechanism, the amplification gain of the received signal is adjusted in real time, the technical problems that a traditional safety light curtain is poor in working distance adaptability and sensitive to environmental interference are solved, and stable working of the safety light curtain in a wide distance range is achieved.

The invention relates to the technical field of infrared temperature measurement, in particular to a calibration method for an infrared temperature measurement device, and the method comprises the steps: calculating a first spectral radiation quantity at a reference temperature and a second spectral radiation quantity at an ambient temperature; based on the first spectral radiation quantity and the second spectral radiation quantity, the spectral average emissivity of the target surface of the blackbody calibration source at the reference temperature is obtained, the third spectral radiation quantity of a calibration temperature reference value is obtained through calculation, reverse calculation is conducted on the third spectral radiation quantity, and the calibration temperature reference value is obtained; a response model is constructed based on a calibration temperature reference value, a gain coefficient and a bias coefficient are obtained by solving the response model, a gain value of the infrared temperature measuring device is corrected based on the gain coefficient, and a bias value of the infrared temperature measuring device is corrected based on system bias. The whole calibration process of the method is convenient and easy to operate.

The invention relates to the technical field of image enhancement, in particular to a turbid water fish image enhancement system based on image enhancement, which comprises an attenuation feature layering module used for acquiring a turbid water fish image, extracting a color attenuation value and a local contrast value of each pixel point, and outputting the color attenuation value and the local contrast value; and calculating the pixel attenuation degree influenced by the suspended matters in the water body and the background scattered light to obtain a pixel attenuation distribution diagram, and setting a plurality of attenuation thresholds. According to the method, a turbid image is divided into a plurality of layers such as a foreground, a middle scene and a background by calculating a color attenuation value and a local contrast ratio of each pixel influenced by suspended matters in a water body and scattered light, and then differential gain coefficients are applied to extracted initial details such as fish scale and fin textures according to the layers to carry out injection; high-fidelity enhancement of a key foreground target is realized, and excessive sharpening and noise amplification of a background area are avoided.

The embodiment of the invention discloses display equipment and a control method of the display equipment, and relates to the technical field of display, first target backlight data is generated directly according to initial backlight data and preset component data under the condition that a brightness enhancement condition is not met, and the first target backlight data is generated directly according to the preset component data under the condition that the brightness enhancement condition is met. Second target backlight data is obtained according to the first gain coefficient, the initial backlight data and the preset component data, at least one of the red light-emitting light source, the green light-emitting light source and the blue light-emitting light source emits light under the condition that the gray field picture or the white field picture is displayed, and the brightness enhancement condition is met under the condition that the brightness enhancement condition is met. The brightness increasing proportion of the emergent light corresponding to at least one of the red light, the green light and the blue light is close to the brightness increasing proportion of the emergent light corresponding to the white light, backlight supply is achieved through the light-emitting light sources corresponding to the red light, the green light, the blue light and the white light respectively, the energy consumption of the display device is reduced, and meanwhile the display effect of the display device is guaranteed.

The invention discloses a display visual effect optimization method and system of a display screen, and belongs to the technical field of display methods of electronic displays. The method comprises the steps of dynamic brightness gradient mapping, dynamic refresh rate cooperative adjustment and flicker suppression variable-frequency driving, an ambient light sensor is used for collecting ambient light change frequency and intensity interval data in real time, the dynamic change of ambient light can be accurately captured, a brightness adjustment area is divided, a gain coefficient is dynamically adjusted, the change of the ambient light is matched, and the flicker suppression variable-frequency driving is achieved. Smooth brightness transition, display effect and energy consumption balance, moving object feature recognition, dynamic and static region division, differential refresh rate adjustment, motion blur reduction and power consumption reduction are realized, frequent switching of region division is avoided by setting a region stability threshold and predicting a moving object track, and the accuracy of the moving object is improved. The driving signal parameters are accurately adjusted according to the picture brightness change, so that the signal frequency fluctuates randomly, the flicker rule is broken, real-time monitoring and fine adjustment are realized, and the display quality of the display screen and the user experience are comprehensively improved.

The present application relates to the technical field of image processing, more particularly, the present application relates to a kind of cable production process real-time monitoring method and system, comprising: the image sequence of cable is collected, each frame of image in the image sequence is carried out optical enhancement processing, comprising: each frame of image is carried out low-pass filtering and obtains reflection structure model, each frame of image and the reflection structure model are carried out pixel level division operation and obtain the anti-reflection light enhancement image;The local information entropy of each pixel point in the anti-reflection light enhancement image is calculated, the luminance value of the anti-reflection light enhancement image is multiplied by the gain coefficient based on the local information entropy, and the final optical enhancement image is obtained.The present application is judged by comprehensive intensity, cross-frame stability and area and other multidimensional information, effectively excludes instantaneous interference such as flash noise, significantly reduces false positive rate and miss rate, and greatly improves the detection precision of micro defect.

The present application relates to the technical field of defect detection, in particular to a polypropylene film defect detection method, device and system. A polypropylene film multi-row pixel point fringe image is obtained and stored in a row-level buffer, and is processed by frequency domain and signal analysis to obtain a refractive phase diagram, a fringe density diagram and a transmittance diagram; a crystal point defect forms an optical micro-lens effect, and has a high-frequency local frequency mutation on the fringe image; the fringe density diagram is filtered and compared to obtain a micro-lens distortion diagram, thereby improving the sensitivity of the defect detection; a dynamic gain coefficient is calculated by using a low-frequency density diagram and a refractive phase diagram data dynamic response relationship, and an anti-shake phase diagram is corrected by modifying the refractive phase diagram; a target row phase curvature diagram is calculated by analyzing the difference between different row anti-shake phase diagrams, thereby revealing the bending condition of the film surface; finally, the target row transmittance diagram, the phase curvature diagram and the micro-lens distortion diagram are fused to detect defects, thereby improving the detection accuracy and comprehensiveness.

The invention relates to the technical field of laser inter-satellite link communication ranging, and provides an optimization method and device for improving the ranging precision of a laser inter-satellite communication ranging link, and the method comprises the steps: obtaining the sampling data of a photoelectric detection signal of the laser inter-satellite communication ranging link in real time; performing interpolation recovery on the sampling data according to the current loop interpolation parameter; performing clock phase error phase discrimination on the interpolation recovery data, wherein phase discrimination gain coefficient correction needs to be performed through real-time amplitude monitoring on the interpolation recovery data; filtering a clock phase error phase discrimination result; updating a loop interpolation parameter and a super-resolution code element phase accurate distance measurement result by using a filtered clock phase error phase discrimination result; and extracting a super-resolution code element phase accurate distance measurement result. According to the method, the phase discrimination gain coefficient is corrected in real time by monitoring the amplitude change in real time, so that the distance measurement precision does not change along with the amplitude of the received optical signal, and the distance measurement precision under the working condition of dynamic amplitude change of the laser inter-satellite link is improved.

The utility model provides a kind of photoelectric sensor particle detection device and equipment based on double channel detection, it is related to optical particle detection technical field.The device sensor sampling circuit output end is connected with sampling signal distribution circuit input end;Sampling signal distribution circuit first output end is connected with first signal gain circuit input end, and second output end is connected with second signal gain circuit input end;First signal gain circuit output end is connected with first analog-digital conversion circuit input end;Second signal gain circuit output end is connected with second analog-digital conversion circuit input end;The gain coefficient of first signal gain circuit is greater than second signal gain circuit;The output end of first analog-digital conversion circuit and second analog-digital conversion circuit is connected with digital signal processing circuit.The utility model can make signal pass through different gain amplifier, double ADC sampling, make one way channel satisfy small particle measurement, another way satisfies large particle measurement, and the electrical signal of larger particle and smaller particle can be considered.

The application relates to the technical field of electric machines, and particularly discloses an electric machine driving and control anti-interference method and system based on an isolator, which can accurately perceive the space-time distribution characteristics of the ground potential difference by constructing a global potential difference dynamic matrix in real time and calculating the common-mode voltage drift amount; based on this, the system no longer maintains the fixed working state of the isolator, but iteratively optimizes the bias current and the gain coefficient of the photoelectric isolator according to the real-time common-mode voltage drift amount, and dynamically reconstructs the transmission parameters; so that the isolator always works in the optimal linear region, effectively avoids signal saturation or cutoff distortion caused by ground potential difference fluctuation, and fundamentally solves the problem that the fixed working point cannot adapt to dynamic common-mode interference.

The application discloses an intelligent imaging generation system and method, which realizes closed-loop control of spraying quality by real-time linkage adjustment of spraying mechanical arm and imaging equipment parameters through a dynamic parameter adjustment module, and combines a defect prediction and optimization decision module and a multi-modal process knowledge base. The system integrates a high-resolution visual sensor, a capacitive thickness detector and a temperature and humidity sensor, fuses multi-source data by using a Kalman filtering algorithm, and dynamically adjusts the speed of the mechanical arm, the nozzle pressure and the imaging gain coefficient. The defect prediction module simulates coating defect morphology based on a physically constrained generative adversarial network and generates a process optimization instruction set through reinforcement learning. The multi-modal process knowledge base stores an associated model of material characteristics, environmental data and defect patterns, supports incremental learning and historical data decay update. Through dynamic parameter collaborative optimization, defect prediction prepositioning and multi-modal data fusion, the spraying quality detection efficiency and coating consistency are improved, and the rework rate is reduced.

The invention discloses a channel gain correction method and system for a multi-channel detector, and relates to the technical field of nuclear radiation detection. The method comprises the following steps: collecting original event data by using a multi-channel detector; energy of all channels triggered by the same event is obtained through action time judgment; calculating the total energy value of each event through the energy of each channel to which each event belongs, counting all events, constructing the total energy spectrum of the channel events, setting an energy screening window according to the position of a photoelectric peak in the total energy spectrum, and reserving the events in the energy screening window as an effective event set; performing channel gain coefficient correction by using an iterative algorithm, and monitoring the energy resolution in real time until convergence; and performing channel-level gain compensation on all original event data by using the finally obtained gain coefficient, and outputting and displaying a corrected energy spectrum and a gain distribution diagram. After gain correction, the energy resolution and the position resolution of the detector can be remarkably improved, and the imaging quality and the quantitative accuracy of the system are improved.

The invention discloses a landscape lighting intelligent adjusting system based on tone and motion state fusion analysis, and relates to the technical field of digital information processing. The method is used for solving the problems of multi-modal data logic conflict and control signal step. The method comprises the following steps: firstly, executing frequency domain transformation and differential operation on acquired space-time sequence data to generate normalized tone and motion intensity; then, calculating a cooperative gain coefficient and a dispersion index, and quantifying a scene active level and a data deviation; then, calculating a credibility weight based on the dispersion, and executing fusion iterative operation on a preset parameter and a historical state to generate a target control parameter; and finally, generating a pulse width modulation digital sequence in smooth transition by using a linear interpolation algorithm, and outputting a control instruction. According to the system, high-reliability fusion of multi-source data and adaptive smoothing of lighting effect control are realized.

The application relates to the technical field of laser intersatellite link communication ranging, and provides an optimization method and device for improving the ranging precision of a laser intersatellite communication ranging link, which comprises the following steps: acquiring sampling data of a photoelectric detection signal of the laser intersatellite communication ranging link in real time; performing interpolation recovery on the sampling data according to current loop interpolation parameters; performing clock phase error phase discrimination on the interpolation recovery data, wherein the phase discrimination gain coefficient needs to be corrected through real-time amplitude monitoring of the interpolation recovery data; filtering the clock phase error phase discrimination result; updating the loop interpolation parameters and the super-resolution code phase accurate ranging result by using the filtered clock phase error phase discrimination result; and extracting the super-resolution code phase accurate ranging result. The application can correct the phase discrimination gain coefficient in real time through real-time monitoring of the amplitude change, so that the ranging precision does not change with the amplitude change of the received light signal, and the ranging precision under the dynamic amplitude change working condition of the laser intersatellite link is improved.

The present invention discloses an adaptive enhancement method for endoscopic images, which belongs to the interdisciplinary technical field of combining computer vision and medicine. The present invention uses a guided filter to filter the endoscopic image to obtain a low-frequency component with good edge and gradient preservation, and constructs an illumination gain function based on the low-frequency components of different regions of the image to adaptively generate an illumination gain factor; and constructs a gradient gain function based on the Laplace operator convolution results of different regions of the endoscopic image to adaptively generate a gradient gain factor; finally, the illumination gain factor and the gradient gain factor are combined to generate the adaptive gain coefficient required by the USM method to complete the improvement of the USM method. Experiments have shown that when the present invention is applied to the enhancement of small intestinal endoscopy images, it can effectively enhance the detail information of the small intestinal villi while suppressing the dark area noise and preventing the edge overshoot phenomenon, effectively highlighting the edge detail information with tiny villi structure.

The invention discloses an all-optical microwave oscillator based on a non-polarized radial mode LN-PM birefringence effect, which is used for solving the technical problem that an electronic bottleneck of high frequency and low stability is difficult to break through due to the fact that additional noise is extremely easy to generate due to introduction of an electric signal in a traditional photoelectric oscillator, and belongs to the technical field of optical fiber communication and microwave photonics. The birefringence effect of LN-PM is introduced into the microwave photonic oscillator based on forward Brillouin scattering, the gain and loss coefficient of forward Brillouin are controlled by adjusting a polarization controller, and when the gain coefficient is equal to the loss coefficient and greater than a coupling coefficient, the space time is symmetrically broken to obtain single longitudinal mode microwave photon output. Compared with the prior art, the self-excited pumping source is adopted, electric signal modulation is not needed, a single-frequency microwave photon signal which is high in frequency stability, low in phase noise and high in side-mode rejection ratio can be generated, and the system has the advantages of being simple in structure and higher in adaptability and reliability.

The invention relates to the technical field of defect detection, in particular to a polypropylene film defect detection method, equipment and system. Acquiring a plurality of rows of pixel point fringe images of the polypropylene film, storing the fringe images into a row-level buffer area, and performing frequency domain processing and signal analysis to obtain a refraction phase diagram, a fringe density diagram and a transmittance diagram; a crystal point defect forms an optical micro-lens effect, a high-frequency local frequency mutation expression exists on a fringe image, filtering is performed on a fringe density map, differences are compared to obtain a micro-lens distortion map, and the detection sensitivity of the defect is improved; calculating a dynamic gain coefficient by using a dynamic response relationship between the low-frequency density map and the refraction phase diagram data, and correcting the refraction phase diagram to obtain an anti-jitter phase diagram; analyzing the difference of the anti-jitter phase diagrams of different rows to calculate a target row phase curvature diagram, and revealing the surface bending condition of the thin film; and finally, fusing the target row transmittance diagram, the phase curvature diagram and the micro-lens distortion diagram to detect defects, thereby improving the detection accuracy and comprehensiveness.

The embodiment of the invention discloses a display device and a control method of the display device, and relates to the technical field of display, the display device comprises a liquid crystal panel, a backlight module and a control module, the control module determines a target pixel feature corresponding to a first pixel according to a first image signal corresponding to the first pixel, the method comprises the steps of acquiring a simulation backlight signal corresponding to a first pixel, determining a target backlight feature corresponding to the first pixel according to the simulation backlight signal corresponding to the first pixel, determining a target gain coefficient corresponding to the first pixel based on the target backlight feature and a target pixel feature, and determining a second image signal according to the target gain coefficient and a first image signal corresponding to the first pixel. And according to the second image signal, each sub-pixel in the first pixel is driven to be started, so that each sub-pixel in the first pixel is coordinated and matched with the backlight color corresponding to the first pixel, the display brightness of the display equipment is improved, meanwhile, saturation reduction is avoided, and the display effect of the display equipment is improved.

This invention discloses a method for analyzing soft X-ray gain phenomena in trapped ions and the cavity type of the X-ray laser, mainly relating to the field of soft X-ray gain phenomena. The method includes: S1, calculating the small-signal gain coefficient α of the X-ray gain medium to obtain numerical information about the gain coefficient α; S2, the above calculation in S1 requires simulating ion source conditions, selecting different electron densities and incident electron energy points; S3, considering the differences between the ion source and the plasma environment, calculating the small-signal gain coefficient at the center frequency; and S4, analyzing the obtained data. The beneficial effects of this invention are: through the X-ray resonant cavity structure, the output beam can achieve high coherence and good beam quality similar to conventional lasers. It supports high repetition rates and even continuous wave operation, and through continuous collisional excitation and ion reuse in ultra-high vacuum, it eliminates the dependence on driving lasers and target materials, thereby improving peak gain.

The invention relates to the technical field of image recognition, in particular to an examination abnormal behavior recognition method based on AI and computer vision, and the method comprises the steps: collecting an examinee behavior image, and sequentially carrying out the target detection, posture analysis and time sequence feature extraction, so as to obtain behavior features; the initial model is trained to obtain a behavior recognition model, and abnormal behavior warning information is obtained through multi-dimensional analysis of the behavior recognition model; obtaining the error rate of abnormal behavior alarm in unit time, and determining whether the recognition accuracy meets the requirement or not; if not, determining whether a core feature pixel gradient threshold in the behavior features is increased or not; if not, acquiring the feature point offset of the behavior image to determine the acquisition validity of the behavior image; if not, determining whether to increase the adaptive segmentation gain coefficient of the behavior image; and if not, determining a dynamic calibration consistency threshold value of the behavior characteristics based on the highlight area proportion of the behavior image. According to the invention, the identification accuracy of the examination abnormal behavior is improved.

This invention relates to the field of low-light image enhancement technology, and more particularly to a deep learning method for low-light image enhancement based on channel attention. First, for the input low-light image, a pixel illumination estimation module is fed into it for feature extraction. After gain estimation, the illumination adjustment coefficient required for each pixel is adjusted to obtain the gain coefficient for each pixel. The extracted features are multiplied by the gain coefficient to obtain a preliminary illumination map. The obtained preliminary illumination map is then fed into a channel attention block, which enhances the structural and pattern information in important channels and performs noise reduction. The results of the channel attention block are input into a fine-tuning module, which fuses and fine-tunes the features of different receptive fields with the original features to obtain the final features. The obtained features are then subjected to convolution, activation, and other operations. The low-light image and the normal illumination image are supervised using the L1 loss function and the similarity loss function, ultimately resulting in a high-precision normal illumination image.

The application discloses a kind of LED liquid crystal display screen bright chromatic aberration detection correction method and system, belong to liquid crystal display technical field, obtain the initial luminance value and color value of each display unit of display screen;Bright chromatic aberration reference model is constructed based on convolutional neural network, the luminance deviation ΔL and color deviation ΔC between calculation and standard value;Bright chromatic aberration error matrix W is constructed;According to error matrix and combined with adaptive threshold algorithm, identify bright chromatic aberration abnormal area and its corresponding coordinates;Based on deviation score result, introduce gradient regression model to generate luminance gain coefficient and color adjustment coefficient, construct correction parameter set P;Parameter set is issued to control chip, executes dynamic image signal modulation and local frame level refresh, realizes point by point bright chromatic aberration correction;The method has the advantages of high precision, high automation, strong adaptive capacity etc., is suitable for the bright chromatic aberration uniformity promotion in a variety of LED liquid crystal display screen scene.

The application is suitable for the technical field of display screens, and provides a color deviation correction method, device, equipment and readable storage medium. The color deviation correction method specifically comprises: obtaining a display image obtained by a first acquisition device shooting a first display screen, the display image comprising at least one image region, each image region corresponding to a display sub-region of the first display screen, and each display sub-region forming a deflection angle with the first acquisition device; determining current optical information of each image region; determining a gain coefficient of the corresponding deflection angle according to target optical information and the current optical information of each image region, the gain coefficient being used for color deviation correction of an image collected by a second acquisition device or an image displayed by a second display screen. The embodiment of the application can improve the efficiency of color deviation correction.

The present invention relates to an online calibration method for parameters of a micro-array polarization camera based on a star sensor. The method comprises the following steps: using the light intensity gain coefficient, polarization coefficient, and polarizer installation angle of each polarization unit of the micro-array polarization camera as state variables to establish a state equation; based on the principle that the dot product of vectors remains unchanged in different coordinate systems, the moon vector in the geographic coordinate system is combined with the star vector observed by the star sensor to solve for the moon vector in the carrier coordinate system. Furthermore, the polarization azimuth is characterized based on the perpendicular relationship between the moon vector and the polarization vector. Furthermore, the polarization azimuth is combined with the model of each polarization unit of the micro-array polarization camera to establish a measurement equation for the polarization intensity of each optical path channel, the light intensity gain coefficient, polarization coefficient, and polarizer installation angle; and finally, an unscented Kalman filter is used to achieve online calibration of the micro-array polarization camera model parameters.

The application relates to a method for processing muon detection data of a triangular prism scintillator. S1: obtaining uncorrected energy deposition information and uncorrected hit position of each muon event in each layer detection unit; S2: based on the actual structure parameters of the detector, performing geometric correction on the traditional centroid algorithm; S3: based on the statistical relationship between the energy deposition of the muon in the scintillator and the track length, establishing a signal channel gain coefficient model, and correcting the energy response of each detection channel; S4: based on the fitting results of the muon track length and the energy of each channel, determining the energy consistency standard, and performing rejection processing on the muon events determined as abnormal; S5: performing muon track reconstruction and imaging, evaluating the position resolution of the detector, and if the convergence condition is reached, ending, otherwise returning to S2 for iteration. The technical scheme can improve the muon track reconstruction accuracy and imaging quality through geometric structure correction, energy correction and abnormal energy event screening.

The application relates to the technical field of image processing, in particular to a cast cooling temperature field reconstruction method and system based on an infrared thermal image. The method comprises the following steps: acquiring a first infrared thermal image of a cast in a cooling process, and performing truncation processing on the first infrared thermal image to obtain a second infrared thermal image; constructing a gray scale gradient vector of a neighborhood pixel of a target pixel point in the second infrared thermal image, and determining a position vector from the neighborhood pixel to the target pixel point to determine a geometric convergence index of the target pixel point; determining a local energy aggregation degree of the target pixel point according to a gray scale extreme value in the neighborhood, determining a mutual radiation gain coefficient of the target pixel point according to the geometric convergence index, the local energy aggregation degree and a reflection coupling coefficient of a surface of the cast, and obtaining surface temperature information of the cast according to the mutual radiation gain coefficient. Through the above technical scheme, the temperature field of the cast in the cooling process can be more accurately reconstructed.

The invention discloses a screen brightness adaptive adjustment system and method based on ambient light induction, and relates to the technical field of brightness adaptive adjustment, and the system comprises an illumination calibration module which is used for covering an effective region of a to-be-detected screen by using standard illumination, synchronously collecting the initial current of each screen angle in the to-be-detected screen, and calculating the gain coefficient of the screen angle; the real-time compensation module is used for calculating the compensation local illumination of the to-be-measured screen according to the real-time current of the screen angle and the gain coefficient when the to-be-measured screen runs; the average illuminance calculation module is used for calculating the average illuminance according to the waveguide physical length of the screen angle and the compensation local illuminance; the directivity compensation module is used for judging whether the average illuminance is compensated or not according to the compensated local illuminance; and the backlight driving module is used for driving the backlight module according to the average illumination. According to the invention, measurement noise caused by significant difference of path lengths can be filtered, so that ambient light intensity data is more suitable for an actual scene.