The present disclosure proposes an electromagnetic susceptibility (EMS) testing method based on computer-vision. The method includes a training stage and a testing stage. During the training stage, the electronic device receives a testing data and the monitor displays a first picture. A camera captures the first picture to generate a template video. The processor generates a plurality of template images at least according to the template video. During the testing stage, an antenna emits an interference signal to the electronic device. The electronic device receives the testing data and the monitor displays a second picture. The camera captures the second picture to generate a testing video. The processor generates a testing image according to the testing video and calculates a difference ratio between the testing image and each template image. The processor sends an alert signal when the difference ratio is greater than a threshold.

What is disclosed are systems and methods for optical correction for correcting for non-uniformity in active matrix light emitting diode device (AMOLED) and other emissive displays, using iterative processing of images of calibration patterns including features of coarse and fine granularity to successively generate a high-resolution estimate of the panel pixel locations.

An image processing system that can reduce display unevenness in an image displayed on a display device is provided. The image processing system includes a display device, an image capturing device, and a learning device. The learning device stores a table representing information on the correspondence between first image data and second image data that is generated by display of an image corresponding to the first image data on the display device and image capturing of the image by the image capturing device. The learning device generates teacher data in accordance with the table and generates a machine learning model with the use of the teacher data generated. Image processing using the machine learning model is performed on image data input to the display device, so that display unevenness in the image displayed on the display device can be reduced.

The present application provides an image display method and an image display device. The image display method performs a gray-scale compensation on each data line, thereby preventing a problem of color crosstalk in a display panel. At the same time, an original image in the display panel is edge blurred, which can reduce an impact of the color crosstalk.

This image retrieval system comprises: a storage means for storing a plurality of registered images capturing a plurality of objects to be registered; an acquisition means for acquiring a retrieval image including a region of interest; an extraction means for extracting a feature amount from a region, in the retrieval image, other than the region of interest; a retrieval means for retrieving, from the plurality of registered images stored in the storage means, a registered image having a feature amount that matches the feature amount extracted by the extraction means; and an output means for outputting, in a manner that makes it possible to recognize a region corresponding to the region of interest in the retrieval image, all or a portion of the registered image retrieved by the retrieval means.

The present disclosure provides an evaluation index calculation device, an evaluation index calculation method, and an evaluation index calculation program which are capable of diversifying an evaluation index representing an optical state of a light control sheet. The evaluation index calculation device acquires an evaluation image of an imaging target in a predetermined environment, captured via a light control sheet, and calculates a degree of obscuring caused by the light control sheet in the evaluation image, as an evaluation index, through image analysis of the evaluation image.

A method of analyzing film on a substrate comprises receiving surface profile data obtained from measurements of a substrate having a plurality of discrete regions with one or more film layers; extracting, based on a predetermined pattern of the discrete regions, a plurality of parameters from the received surface profile data, the plurality of parameters comprising one or more parameters of a film layer of each discrete regions, and displaying a user interface. The user interface may comprise a plurality of individual graphs each illustrating the one or more parameters of the one or more film layers for a corresponding subset of the plurality of discrete regions, and a composite graph illustrating the one or more parameters of the one or more film layers for each discrete region of the plurality of discrete regions, wherein the composite graph corresponds to the plurality of individual graphs being overlaid together.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for three sub-color correction based on two-dimensional graphs. In an aspect, a method includes obtaining an image to be shown on a display, determining three sub-color values of a particular pixel in the image, including a first sub-color value for a first sub-color, a second sub-color value for a second sub-color, and a third sub-color value for a third sub-color of the particular pixel, obtaining a representation of a two-dimensional graph of color-correction curves, selecting a selected color-correction curve to use to correct the first sub-color value based on both the second sub-color value and the third sub-color value, determining a corrected first sub-color value based on the first sub-color value, and outputting the image using the corrected first sub-color value instead of the first sub-color value.

A method of measuring chromaticity of a target object is implemented using a computer device that stores a plurality of light source spectrum datasets each associated with a specific object. The method includes: obtaining a captured color image of the target object; generating a spectral image based on the captured color image using a spectral transformation matrix; obtaining one of the plurality of light source spectrum datasets that is associated with the target object; and calculating a chromaticity dataset of the target object based on the spectral image and the one of the plurality of light source spectrum datasets.

An array checker (AC) is described. The array checker may include software configured to implement a method. By implementing the method, the array checker may detect a location of a defect and then compensate for a shift in the defect. In particular, the method may include generating one or more reference lines in a panel. The reference lines may include a location which is known prior to generating an image of the panel. The array checker may then capture an image of the panel. The image may be captured by voltage imaging. The image may include the defect and the one or more reference lines. The method may then include calculating an offset of the reference line from the known location. The offset may then be applied to the defect location for compensating the shift in the defect.