An inspection device includes: a captured image acquisition unit configured to acquire a captured image obtained by capturing an image of an inspection target; an image division unit configured to divide the captured image which is acquired into a plurality of first division images; a first composite image generation unit configured to superimpose the plurality of first division images to generate a composite image; and a determination unit configured to use the generated composite image and a learning model to determine whether or not a defect is present in the inspection target.

A system for obtaining dark current images includes one or more processors and one or more hardware storage devices storing instructions that are executable by the one or more processors to configure the system to perform various acts. The acts include obtaining a first image frame, generating a first low-pass filtered image by applying a low-pass filter to the first image frame, and generating a first estimated dark current image by subtracting the first low-pass filtered image from the first image frame.

Median values for a stream of received data values in a data processing system (e.g. an image processing system) are determined. A first median value of the received data values within a first subset of data values of the received stream is determined, and intermediate data used for determining the first median value is stored. The stored intermediate data is used to determine a median value of the received data values within a second subset of data values of the received stream, wherein the second subset at least partially overlaps with the first subset. The determined median values are outputted for use in the data processing system, e.g. for further processing.

Methods, systems, and apparatuses for detecting and describing heterogeneity in a cell sample are disclosed herein. A plurality of fields of view (FOV) are generated for one or more areas of interest (AOI) within an image of the cell sample are generated. Hyperspectral or multispectral data from each FOV is organized into an image stack containing one or more z-layers, with each z-layer containing intensity data for a single marker at each pixel in the FOV. A cluster analysis is applied to the image stacks, wherein the clustering algorithm groups pixels having a similar ratio of detectable marker intensity across layers of the z-axis, thereby generating a plurality of clusters having similar expression patterns.

Disclosed is method for evaluating influence of humidity on adhesion of asphalt-aggregate adhesion, the method includes the following steps: S1 putting multiple pull-out specimens into constant temperature and humidity phases with different relative humidity for curing, after the humidity reaches equilibrium, carrying out macroscopic mechanical pull-out test out and obtaining images of two aggregate surfaces of each broken pull-out specimen; S2 cropping the images, and then importing the cropped images into the Images Pro Plus software; S3 obtaining asphalt peeling rate according to the pixel value and calculation formula of asphalt peeling rate; S4 according to the asphalt peeling rate, asphalt cohesive energy and asphalt-aggregate binding energy, combined with calculation formula of asphalt-aggregate interface energy, obtaining asphalt-aggregate interface energy, and evaluating asphalt-aggregate adhesion according to the interface energy. This method realizes the quantitative evaluation of the adhesion of asphalt and aggregate under different humidity conditions.

A system for detection and identification of objects and obstacles near, between or on railway comprise several forward-looking imagers adapted to cover each different range forward and preferably to be sensitive each to different wavelength of radiation, including visible light, LWIR, and SWIR. The substantially homogeneous temperature along the rail the image of which is included in an imager frame assists in identifying and distinguishing the rail from the background. Image processing is applied to define living creature in the image frame and to distinguish from a man-made object based on temperature of the body. Electro optic sensors (e.g. thermal infrared imaging sensor and visible band imaging sensor) are used to survey and monitor railway scenes in real time.

A system and a method for detecting welding based on edge computing, the system includes at least one edge server, each edge server configured to obtain welding information of at least one welding machine, preprocess the welding information to generate processed data, input the processed data to a trained algorithm to generate a detecting result, and determine a welding quality of the welding machine according to the detecting result; and a data server coupled to the at least one edge server and configured to process and store the detecting result and the welding information uploaded by each edge server, generate display information, and visualizes the detecting result according to the display information.

According to embodiments of the present disclosure, a method and an apparatus for processing an image, a device, and a storage medium are provided. The method includes: performing an image processing operation on an initial image having a noise associated with an adversarial sample attack, to obtain an intermediate image, the image processing operation including at least one of: reducing resolution of the initial image, or smoothing at least a part of the initial image; determining an image enhancement model matching the image processing operation, the image enhancement model being trained based on a sample image and a reference image, and the reference image being obtained by performing at least the image processing operation on the sample image; and generating a target image by processing the intermediate image using the image enhancement model, the target image having an image quality higher than the intermediate image.

A high-speed and high-accuracy spectral video system has a filter module that filters optical signals in desired bands; a beam splitting module that splits the signal from the filter module into two identical beams entering an encoding aperture module and an RGB information acquisition module, respectively; a dispersion module disperses the optical signal and transmits the dispersed signal to a grayscale information acquisition module; a data reconstruction module aligns the signal from the grayscale information acquisition module to the signal from the RGB information acquisition module, denoises the signals, reconstructs a video by a bilateral filtering algorithm, and sends the reconstructed video to a display module for storage and display. A flame spectrum can be reconstructed using few sampling points to obtain broad-band spectral characteristics of the flame or using many sampling points to obtain high-accuracy spectral data.

Methods and apparatus for automatically synthesizing images are disclosed. The methods may include receiving a plurality of input frames with a common background. The methods may also include determining a number of the input frames. The methods may also include selecting, based on the number, a method to detect foregrounds of the input frames. The methods may further include using the selected method to generate an output frame comprising a combination of a plurality of the foregrounds.