Abstract: Methods, systems, and devices for image processing are described. A device may determine a split-screen condition associated with a video image and perform an additional analysis to confirm the split-screen condition. In some examples, the device may generate a truncated image composed of one or more pixels located at each corner of a first image (e.g., a displayed image), and the device may process the truncated image to determine whether a split-screen condition is present for the displayed image. The device may use a continuality analysis, in which the device determines pixel values associated with multiple rows (or columns, or both) of a video image and compares differences between the pixel values at opposite ends of a video image to a threshold, to determine whether a split-screen condition is present. The device may then confirm a split-screen condition by processing the video image using an edge detection filter.

Abstract: A monitoring system for monitoring the glucose level of a subject having a glucose level history is disclosed. The system comprises (a) a non-invasive measuring device, operable to measure and record an electrical quantity from a section of the subject body, so as to provide a time-dependence of the electrical quantity over a predetermined time-period. The system further comprises (b) a processing unit, communicating with the non-invasive measuring device. The processing unit comprises: an extractor, for extracting a plurality of parameters characterizing the time-dependence, a correlation function calculator for calculate a subject-specific correlation function, and an output unit, communicating with the correlation function calculator and configured to output the glucose level of the subject. The subject-specific correlation function describes the glucose level history and is defined over a plurality of variables, each corresponding to a different parameter.