5 results about "Sky brightness" patented technology

The invention discloses an engineering structure crack detection method and system based on an image processing technology, and relates to the technical field of image processing, and the method comprises the following steps: S100, collecting image data of a plurality of time points in an engineering structure monitoring area, obtaining a corresponding sky brightness change curve and a reflector reflection angle change sequence, and obtaining a corresponding sky brightness change curve; generating a time-varying illumination profile covering a monitoring period and a reflector trajectory map, and constructing an illumination baseline for subsequent time sequence reference; and S200, deriving a brightness fluctuation sensitivity field according to the illumination baseline, screening an area with stable brightness response in the sensitivity field as an edge anchor point set, and carrying out initial position calibration on the crack candidate boundary by using the edge anchor point set. The crack identification stability is improved through the steps of dynamic illumination modeling, brightness sensitivity analysis, radiation calibration, boundary reestimation and the like, and high-precision, self-adaptive and sustainable optimization of crack detection in a complex environment is realized by introducing a closed-loop control and self-learning mechanism.

The application discloses a FAST core array broadband beam effect elimination method based on deep learning, relates to the technical field of radio astronomy image processing, and constructs an end-to-end image restoration system, which comprises the following five steps: acquiring an observation image containing a broadband beam effect; extracting multi-scale features and introducing a spatial perception mechanism; performing feature frequency domain enhancement processing and multi-scale context fusion; and outputting a multi-scale prediction image and a restored image from which the broadband beam effect is removed. The application realizes the function of improving imaging quality by constructing a deep learning model, avoids cumulative errors caused by step-by-step processing, can effectively remove broadband beam distortion, and makes the reconstructed image more close to the real sky brightness distribution in overall fidelity and structural details, and has higher physical consistency.

A kind of road marking brightness measurement method based on the imaging principle of digital camera belongs to the field of road engineering.The present application measures the brightness of road marking by using the imaging principle of digital camera, thereby replacing the existing road marking brightness measurement method to measure the service performance of road marking.Digital camera test can not only realize the regional measurement of road marking brightness, but also reduce the influence degree of sky brightness on road marking brightness test, and can effectively improve the efficiency of road marking brightness test.The present application can not only realize the accurate expression of road marking brightness, but also save the time and fund consumption of road detection, and then efficiently guarantee the safety of traffic operation, and has important economic value and social value.

The embodiment of the invention provides a runway visual range deviation evaluation method based on background light brightness and light fusion. The method comprises the following steps: acquiring a brightness gradient mutation feature of a runway sidelight sequence in a continuous frame video in a V channel of an HSV color space; extracting a preliminary regulation and control parameter of a light pulse duty ratio based on the brightness gradient mutation feature; dynamically correcting the preliminary regulation and control parameters in combination with a spatial Laplace change rate of background sky brightness; and performing frame-by-frame light pulse duty ratio regulation and control according to the corrected regulation and control parameters so as to compensate perceptual drift of human eyes to flickering light fusion frequency. Through the scheme of the embodiment of the invention, the problem that visual range interpretation is lagged due to the fact that human eyes perceive drifting of flickering light fusion frequency under low visibility can be solved.

The application discloses a sky color modeling method based on sunny spectrum information, and solves the problems that existing sky brightness models cannot restore sky color information and color deviation exists when color is represented by correlated color temperature. The spectrum data of 145 sky surface elements of a hemisphere are measured by a spectrum sky scanner; color coordinates (x, y) of each sky surface element are solved based on the spectrum data; a zenith color model is established based on direct and scattered data; a BP neural network model framework is built; and the input layer is set as the sky surface element height angle, the sky surface element azimuth angle, the sun height angle, the sun azimuth angle and the zenith color coordinate value to obtain the final model. The method of the application establishes a model with color information to improve the application of the sky model in the field of colorimetry. The model is used to estimate the real-time sky spectrum data variation law, and provides a theoretical reference for building lighting simulation of glass with spectrum selectivity. The color coordinates are more scientific and accurate than the correlated color temperature.