The present application discloses an overdrive device and method, and relates to the field of display control technology. The overdrive device comprises: a first determination module for determining a basic overdrive value of a target pixel unit according to a basic overdrive lookup table and a first gray scale value and a second gray scale value of the target pixel unit, wherein the basic overdrive lookup table is a set of data pre-stored in a storage module for determining the basic overdrive value, the first gray scale value is a display gray scale value of a current frame of the target pixel unit, and the second gray scale value is a display gray scale value of a previous frame of the target pixel unit; a second determination module for determining an overdrive gain value corresponding to a target refresh frequency, wherein the target refresh frequency is a current refresh frequency of a display apparatus where a target pixel unit is located; and a processing module for obtaining an actual overdrive value required for performing an overdrive operation on the target pixel unit according to the basic overdrive value, the overdrive gain value, the first gray scale value and the second gray scale value.

A computer-implemented method as well as a system for determining intensity values of pixels of distance data of the pixels generated by a simulation of a 3D scene, including an assignment of a first confidence value to each of the first initial values of the pixels and/or a second confidence value to each of the second intensity values of the pixels, and including a calculation of third, in particular corrected, intensity values of the pixels, using the confidence values assigned to each of the first intensity values and/or second intensity values. The invention also relates to a computer-implemented method for providing a trained machine learning algorithm as well as to a computer program.

Techniques are disclosed for extracting micro-features at a pixel-level based on characteristics of one or more images. Importantly, the extraction is unsupervised, i.e., performed independent of any training data that defines particularly objects, allowing a behavior-recognition system to forgo a training phase and for object classification to proceed without being constrained by specify object definitions. A micro-feature extractor that does not require training data is adaptive and self-trains while performing the extraction. The extracted micro-features are represented as a micro-feature vector that may be input to a micro-classifier which groups object into object type clusters based on the micro-feature vectors.

A display apparatus and a timing controller thereof is disclosed. The timing controller detects a size of an image by using image data, generates first output image data according to the size of the image, and generates second output image data by using the first output image data. The second output image data is generated according to a saturation value of the first output image data.

The presently disclosed inventive concepts are directed to systems, computer program products, and methods for intelligent screen automation. The inventive computer program products include program instructions configured to cause a computer, upon execution thereof, to perform a method including: identifying, from among a plurality of elements within one or more images of a user interface, a first set of elements and a second set of elements, wherein the first set of elements and the second set of elements each independently comprise either or both of: textual elements, and non-textual elements; determining one or more logical relationships between the textual elements and the non-textual elements; building a hierarchy comprising some or all of the first set of elements and some or all of the second set of elements, wherein building the hierarchy forms a data structure representing functionality of the user interface; and outputting the data structure to a memory.

An image capture device may automatically capture images. An image sensor may generate visual content based on light that becomes incident thereon. A depiction of interest within the visual content may be identified, and one or more images may be generated to include one or more portions of the visual content including the depiction of interest.

A fluorescent in-situ hybridization imaging and analysis system includes a flow cell to contain a sample to be exposed to fluorescent probes in a reagent, a fluorescence microscope to obtain sequentially collect a plurality of images of the sample at a plurality of different combinations of imaging parameters, and a data processing system. The data processing system includes an online pre-processing system configured to sequentially receive the images from the fluorescence microscope as the images are collected and perform on-the-fly image pre-processing to remove experimental artifacts of the image and to provide RNA image spot sharpening, and an offline processing system configured to, after the plurality of images are collected, perform registration of images having a same field of view and to decode intensity values in the plurality of images to identify expressed genes.

A display apparatus includes a display panel, a contrast analyzer, a contrast processor and a data driver. The display panel includes a plurality of sub display areas. The display panel is configured to display an image based on input image data. The contrast analyzer is configured to analyze the input image data in a time division method. The contrast processor is configured to adjust contrast of the input image data based on analysis result of the contrast analyzer. The data driver is configured to generate data voltages based on output data of the contrast processor. A number of contrast analysis cores of the contrast analyzer is determined according to a number of the sub display areas and a frame rate.

An image processing device for processing an image of a tape in which multiple cavities for accommodating a component are provided along a predetermined feeding direction includes a generation section configured to extract brightnesses of pixels of a line along the feeding direction from the image and to generate a brightness waveform of the line, and a recognition section configured to execute a periodic analysis of a brightness change from the brightness waveform and to recognize a pitch of the cavities based on a wavelength obtained by the periodic analysis.

Some embodiments described herein relate to a method that includes separating an analyte-containing sample via electrophoresis in a capillary. The capillary is loaded with a chemiluminescence agent, such as luminol, that is configured to react with the analyte (e.g., HRP-conjugated proteins) to produce a signal indicative of a concentration and/or quantity of analyte at each location along the length of the capillary. A first image of the capillary containing the analytes and the chemiluminescence agent is captured over a first period of time. A second image of the capillary containing the analytes and the chemiluminescence agent is captured over a second, longer, period of time. A concentration and/or quantity of a first population of analytes at a first location is determined using the first image, and a concentration and/or quantity of a second population of analytes at a second location is determined using the second image.