Abstract: A data processing method and apparatus are provided. The method includes: predicting, based on an initial image recognition model, initial aided annotation results of original images, and acquiring initial standard annotation results; adjusting, based on a first initial standard annotation result and a first initial aided annotation result, model parameters in the initial image recognition model so as to generate an updated image recognition model; predicting, based on the updated image recognition model, an updated aided annotation result of a second original image, and acquiring an updated standard annotation result; and determining, in response to determining that the updated image recognition model satisfies a model convergence condition based on the updated aided annotation result and the updated standard annotation result, the updated image recognition model as a target image recognition model.

Abstract: A broadband super-Rayleigh speckle correlated imaging spectral camera based on dispersion compensation is provided. The imaging scheme comprises, but is not limited to, a pre-compensation scheme, a post-compensation scheme, or a pre-post joint compensation scheme. The device comprises components such as a pre-imaging module, a light filter, a phase modulation module, a relay imaging module, an area array detector, and a computer. According to the present invention, the super-Rayleigh speckle modulation in a broadband is realized by matchining the dispersion characteristic of the pre-imaging module or the relay imaging module with the phase modulation module, which is applied to the correlated imaging spectral camera, so that the imaging quality of the correlated imaging spectral camera at a low signal-to-noise ratio is improved.

Abstract: A labeling method is provided. In the method, target image data of a target image is acquired from an offline storage device. The target image data is encrypted based on a first target account. A permission to load the target image data is verified based on a second target account logged in to a labeling client. The target image is loaded in the labeling client in response to the permission to load the target image being verified when the second target account logged in to the labeling client matches the first target account. A label for the target image is received. Further, the label for the target image is transmitted to a server. The server is configured to store the label in association with the target image. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: The disclosure discloses microbial conductive ceramics and a preparation method and application thereof, and belongs to the technical field of microorganisms and the technical field of semiconductor materials. The disclosure is based on ordinary insulating macroporous ceramics, using the means of cell immobilization and the principle of microbial adsorption, to prepare the microbial conductive ceramics including macroporous ceramics, microbes immobilized on the macroporous ceramics and metal ions adsorbed to the microbes. The microbial conductive ceramics have excellent performance, and the conductivity of the microbial conductive ceramics can reach 2.91×106 S/m. At the same time, the cost of the microbial conductive ceramics is low, only 10% of the cost of conductive ceramics with the same conductivity.

Abstract: A random grating based compressive sensing wideband hyperspectral imaging system comprising a front imaging component, an optical splitting component, more than two branches, and a computer, with each branch having an exit pupil transformation component and a compressive spectral imaging component. The system is based on compressive sensing theory, makes use of the correlation between spectra, increases compression rate on the spectral dimension, realizes three-dimensional compressive collection of wideband spectral image data, and greatly reduces data collection amount. The system is capable of measuring spectral image information on a wideband spectrum with a single exposure, and may obtain high spatial resolution and high spectral resolution by means of designing the random gratings on the various spitting paths.

Abstract: A flicker detection apparatus and method where flickers in the video images are detected based on the mean detection values obtained from pairs of neighboring frames in the current frame and the former n frames, which is able to perform flicker detection efficiently, and the detection results are accurate.

Abstract: A random grating based compressive sensing wideband hyperspectral imaging system comprising a front imaging component, an optical splitting component, more than two branches, and a computer, with each branch having an exit pupil transformation component and a compressive spectral imaging component. The system is based on compressive sensing theory, makes use of the correlation between spectra, increases compression rate on the spectral dimension, realizes three-dimensional compressive collection of wideband spectral image data, and greatly reduces data collection amount. The system is capable of measuring spectral image information on a wideband spectrum with a single exposure, and may obtain high spatial resolution and high spectral resolution by means of designing the random gratings on the various spitting paths.

Abstract: A method and apparatus for detecting a traffic state and electronic equipment where the apparatus includes: a first calculating unit configured to detect a contour of an object from a region of interest of a traffic surveillance image to generate a contour image, and calculate an occupation ratio of the contour in the region of interest based on the contour image; a first detecting unit configured to detect whether there exists an object of a predetermined size moving in the region of interest, and determine a motion state of a vehicle in the region of interest; and a first determining unit configured to determine a traffic state according to the occupation ratio and the motion state. The embodiments of the present disclosure determine a traffic state according to the number of vehicles and motion states of the vehicles in the traffic surveillance image.

Abstract: A flicker detection apparatus and method where flickers in the video images are detected based on the mean detection values obtained from pairs of neighboring frames in the current frame and the former n frames, which is able to perform flicker detection efficiently, and the detection results are accurate.

Abstract: An apparatus and method for controlling traffic lights of a crossing where the traffic lights are controlled based on the jam states of the roads and according to jam levels of the roads, weights of the roads and the number of vehicles passing the crossing, which are fast in response and accurate in estimation, and the traffic lights can be quickly and efficiently controlled, thereby efficiently alleviating or solving the problem of traffic jam.

Abstract: The present invention provides an image denoising method and an image denoising apparatus. The image denoising method includes performing preliminary denoising processing to an acquired image to be processed, so as to obtain a preliminarily denoised image; calculating a residual quantity corresponding to a central pixel of each unit area in the image to be processed according to numerical values of specific energy parameters to which the image to be processed and the preliminarily denoised image correspond, respectively; and using the residual quantity to calculate a weight matrix corresponding to each unit area, and performing non-local mean value calculation to the image to be processed according to the weight matrix, so as to realize the denoising processing of the image to be processed. The image denoising method is able to denoise effectively, and make a denoised image more visually natural.

Abstract: The present invention provides an image denoising method and an image denoising apparatus. The image denoising method includes performing preliminary denoising processing to an acquired image to be processed, so as to obtain a preliminarily denoised image; calculating a residual quantity corresponding to a central pixel of each unit area in the image to be processed according to numerical values of specific energy parameters to which the image to be processed and the preliminarily denoised image correspond, respectively; and using the residual quantity to calculate a weight matrix corresponding to each unit area, and performing non-local mean value calculation to the image to be processed according to the weight matrix, so as to realize the denoising processing of the image to be processed. The image denoising method is able to denoise effectively, and make a denoised image more visually natural.

Abstract: The embodiments provide an image processing method and apparatus, which combine a wavelet transform method with a non-local means method, comprising: performing N-level decomposition of an original gray image by using a wavelet transform method; and performing non-local means processing and wavelet reconstruction of each level of components one by one starting from an N-th level, so as to obtain a processed gray image. The image processing method and apparatus can effectively remove various image noises, and well reserve the image details.

Abstract: A method and apparatus for processing a gray image, including: calculating a mean value and a standard difference of each edge pixel needing processing in an original gray image, and determining a predefined noise variance of each edge pixel according to the mean value and the standard difference; performing two-dimensional discrete cosine transform on an original gray image of a first adjacent area of each edge pixel; performing Wiener filtering on the two-dimensional discrete cosine transformed image data according to the noise variance; performing discrete cosine inverse transform on the two-dimensional Wiener filtered image data to obtain a filtered gray image of the first adjacent area; and extracting a filtered pixel value of each edge pixel from the filtered gray image of the first adjacent area, and obtaining a processed pixel value of each edge pixel by performing weighted summation on the filtered pixel value and an original pixel value.

Abstract: The present invention provides an image denoising method and an image denoising apparatus. The image denoising method includes performing preliminary denoising processing to an acquired image to be processed, so as to obtain a preliminarily denoised image; calculating a residual quantity corresponding to a central pixel of each unit area in the image to be processed according to numerical values of specific energy parameters to which the image to be processed and the preliminarily denoised image correspond, respectively; and using the residual quantity to calculate a weight matrix corresponding to each unit area, and performing non-local mean value calculation to the image to be processed according to the weight matrix, so as to realize the denoising processing of the image to be processed. The image denoising method is able to denoise effectively, and make a denoised image more visually natural.

Abstract: The present invention discloses a flicker detection method and a flicker detection apparatus. The method includes: calculating the mean values of selected rows of image frames to constitute a mean value vector; calculating a differential vector between the mean value vectors of a current frame and a previous frame; calculating a DC-free difference vector; building a first square wave and a second square wave, and a third square wave and a fourth square wave; calculating a first frequency reference value; calculating a second frequency reference value; and if the difference between the first and second frequency reference values is above a threshold, then it is determined that flicker is present in the current frame; otherwise, it is determined that no flicker is present.

Abstract: The present invention discloses a flicker detection method and a flicker detection apparatus. The method includes: calculating the mean values of selected rows of image frames to constitute a mean value vector; calculating a differential vector between the mean value vectors of a current frame and a previous frame; calculating a DC-free difference vector by subtracting a direct current component from respective elements of the differential vector; calculating a power spectrum corresponding to the DC-free difference vector; obtaining a first frequency reference value; obtaining a second frequency reference value; and if the difference between the first and second frequency reference values is above a threshold, then it is determined that flicker is present in the current frame; otherwise, it is determined that no flicker is present.

Abstract: The present invention discloses a flicker detection method and a flicker detection apparatus. The method includes: calculating the mean values of selected rows of image frames to constitute a mean value vector; calculating a differential vector between the mean value vectors of a current frame and a previous frame; calculating a DC-free difference vector; building a first square wave and a second square wave, and a third square wave and a fourth square wave; calculating a first frequency reference value; calculating a second frequency reference value; and if the difference between the first and second frequency reference values is above a threshold, then it is determined that flicker is present in the current frame; otherwise, it is determined that no flicker is present.

Abstract: The present invention discloses a flicker detection method and a flicker detection apparatus. The method includes: calculating the mean values of selected rows of image frames to constitute a mean value vector; calculating a differential vector between the mean value vectors of a current frame and a previous frame; calculating a DC-free difference vector by subtracting a direct current component from respective elements of the differential vector; calculating a power spectrum corresponding to the DC-free difference vector; obtaining a first frequency reference value; obtaining a second frequency reference value; and if the difference between the first and second frequency reference values is above a threshold, then it is determined that flicker is present in the current frame; otherwise, it is determined that no flicker is present.