A washing machine appliance includes a camera assembly mounted in view of a wash chamber for obtaining images of the wash chamber. The lens of the camera assembly is positioned adjacent a water outlet of a water dispenser and a controller is configured to facilitate an automated cleaning method for the camera assembly, the method including obtaining one or more images of the wash chamber using the camera assembly, analyzing the one or more images to determine an image quality, determining that the image quality has dropped below a quality threshold, and operating the water dispenser to perform a lens cleaning operation in response to determining that the image quality has dropped below the quality threshold.

Training a neural network to correct motion-induced artifacts in magnetic resonance images includes acquiring motion-free magnetic resonance image (MRI) data of a target object and applying a spatial transformation matrix to the motion-free MRI data. Multiple frames of MRI data are produced having respective motion states. A Non-uniform Fast Fourier Transform (NUFFT) can be applied to generate respective k-space data sets corresponding to each of the multiple frames of MRI; the respective k-space data sets can be combined to produce a motion-corrupted k-space data set and an adjoint NUFFT can be applied to the motion-corrupted k-space data set. Updated frames of motion-corrupted MRI data can be formed. Using the updated frames of motion corrupted MRI data, a neural network can be trained that generates output frames of motion free MRI data; and the neural network can be saved.

The present disclosure provides a method, apparatus, medium, and electronic device for evaluating environmental noise of device. The method comprises obtaining original image data to be displayed; determining at least part of the original image data to be displayed as source data; obtaining comparison data according to the source data; obtaining a difference value according to the comparison data and the source data; and evaluating environmental noise of device according to the difference value.

Method for inspecting a geometry (10) having a surface (11), which method uses an inspection device (100) having a digital image capturing means (120) and a shape scanning means (130), comprising the steps of

a) orienting the inspection device (100) in a first orientation;
b) depicting the surface (11) to produce a first image;
c) measuring a shape of a first geometry part to produce a first shape;
d) moving the inspection device (100) to a second orientation;
e) depicting the surface (11) to produce a second image;
f) measuring a second part of said geometry (10) to produce a second shape;
g) using digital image processing based on said first and second images, determining a geometric orientation difference between said first and second orientations;
h) determining a geometric relation between the first and second shapes; and
i) producing a data representation of said geometry based on said first shape, said second shape and said geometric relation.

The invention also relates to a device.

Methods, systems, and devices for equipment reading in a factory or plant environment are described, including: capturing an image of an environment including a measurement device; detecting a target region included in the image, the target region including at least a portion of the measurement device; determining identification information associated with the measurement device based on detecting the target region; and extracting measurement information associated with the measurement device based on detecting the target region. In some aspects, detecting the target region may include: providing the image to a machine learning network; and receiving an output from the machine learning network in response to the machine learning network processing the image based on a detection model, the output including the target region.

A single-shot differential phase contrast quantitative phase imaging method based on color multiplexing illumination. A color multiplexing illumination solution is used to realize single-shot differential phase contrast quantitative phase imaging. In the single-shot color multiplexing illumination solution, three illumination wavelengths of red, green, and blue are used to simultaneously illuminate a sample, and the information of the sample in multiple directions is converted into intensity information on different channels of a color image. By performing channel separation on this color image, the information about the sample at different spatial frequencies can be obtained. Such a color multiplexing illumination solution requires only one acquired image, thus enhancing the transfer response of the phase transfer function of single-shot differential phase contrast imaging in the entire frequency range, and achieving real-time dynamic quantitative phase imaging with a high contrast, a high resolution, and a high stability. In addition, an alternate illumination strategy is provided, so that a completely isotropic imaging resolution at the limit acquisition speed of the camera can be achieved.

Provided is a novel cell sheet evaluation method. A cell sheet evaluation method includes: a step of analyzing, based on an observed image of a cell sheet, a characteristic indicating shape uniformity of cells constituting the cell sheet; and a step of evaluating a binding state between cells in the cell sheet based on the analysis result.

A method for identifying a dendritic pore is provided. Line and pore images are obtained from a digital image of a subject's skin. These line and pore images are overlaid to identify those pores having at least one line intersecting the pore as dendritic pores.

An information processing device includes a processor configured to: acquire information related to image periodicity included in data of a first image and data of a second image to be compared; and correct predetermined information for aligning the data of the first image and the data of the second image on a basis of the information related to image periodicity.

A method, apparatus, and a non-transitory computer-readable storage medium for sub-band image reconstruction. The method may include obtaining an image captured by a camera. The method may also obtain a transform image based on the image captured by the camera. The transform image may be in a transform domain. The method may further obtain decomposed image components of the transform image. The decomposed image components may include a low frequency component and at least one high frequency component. The method may also obtain a reconstructed image based on at least two neural networks processing the decomposed image components in the transform domain