A method for quantifying labels on a substrate is performed by an electronic device with one or more processors and memory. The method includes obtaining digital data corresponding to a multi-dimensional measurement over the substrate; identifying a first set of sub-portions of the digital data; and, for a respective sub-portion of the first set of sub-portions of the digital data: increasing a quantity of labels, and subtracting a reference signal distribution from the respective sub-portion to obtain subtracted sub-portion data. The method also includes obtaining subtracted digital data. The subtracted digital data includes the subtracted sub-portion data for the respective sub-portion. The method further includes identifying a second set of one or more sub-portions of the subtracted digital data; and, for a respective sub-portion of the second set of one or more sub-portions of the subtracted digital data, increasing a quantity of labels.

A method and a system of detecting at least one sample in a sample container, comprising a sample container, further comprising a cavity, the volume of said cavity partially or fully occupied with at least one solid sample and at least one fluid; and at least one camera capturing at least one image of the sample container; and a data processing device detecting at least one sample in the sample container by processing the at least one image captured by the at least one camera. The method and system further comprise putting the sample container in sudden motion prior to the at least one camera capturing at least one image of the sample container.

An example information processing system performs a process based on a captured image captured by an image-capturing device. The information processing system obtains information regarding brightness of each pixel based on the captured image. The information processing device calculates position information of the captured image, the position information representing deviation obtained with the brightness of each pixel being used as a weight. The position information is calculated for a predetermined area of the captured image. The information processing device performs a predetermined information process based on the position information.

A medical information processing apparatus according to an embodiment includes a storage and processing circuitry. The storage is configured to store therein, for each point of a frequency space represented by a plurality of pieces of first frequency component data acquired by applying frequency conversion to data inside regions of interest set to medical images, characteristic data representing a tendency of spectral values that appear at the point. The processing circuitry is configured to acquire second frequency component data by applying frequency conversion to a medical image to be processed, to determine similarity of a spectral value at each point of a frequency space represented by the second frequency component data, with the characteristic data, and to designate a target area in the frequency space represented by the second frequency component data based on the result of the determination.

In order to classify the presented pose of a human hand, a feature distribution map of the pose is compared to reference feature distribution maps. To generate a feature distribution map, each contour point of a hand is analyzed to determine a corresponding feature set. The feature set of a contour point includes a distance feature and an angle feature of the contour point in relation to one of its neighboring contour points. The feature sets generated from an observed pose are compared to feature sets of reference poses to determine which of the reference poses most closely matches the presented pose.

A matrix barcode on a surface may comprise a plurality of colors, an infrared layer, and an ultraviolet layer. The matrix barcode may be a fiducial marker for conveying spatial information. The spatial information may stem at least in part from the infrared layer and the ultraviolet layer.

An eye open or closed state detection method, in addition to an eye opening feature, an iris shape feature and/or a vertical direction feature are added to identify the eye open or closed state, where the eye opening feature is used to represent an eye opening degree, the iris shape feature is used to represent a shape of an iris of an eye, and the vertical direction feature is used to represent a change degree of an eyelid curve.

An information processing apparatus includes: an image acquiring unit configured to acquire a captured image; a time zone determining unit configured to determine an image capturing time zone of the captured image; and a detecting unit configured to detect, based on the determined image capturing time zone, a traffic light region of a traffic light in the captured image and a traffic light color indicated by the traffic light.

Methods and systems for real-time road flare detection using templates and appropriate color spaces are described. A computing device of a vehicle may be configured to receive an image of an environment of the vehicle. The computing device may be configured to identify a given pixels in the plurality of pixels having one or more of: (i) a red color value greater than a green color value, and (ii) the red color value greater than a blue color value. Further, the computing device may be configured to make a comparison between one or more characteristics of a shape of an object represented by the given pixels in the image and corresponding one or more characteristics of a predetermined shape of a road flare; and determine a likelihood that the object represents the road flare.

Methods and apparatus, including computer program products, for detecting malfunction in a thermal camera. A first average response value is determined for a first shutter image captured by an image sensor in the thermal camera. A second average response value is determined of a second shutter image captured by the image sensor in the thermal camera. The first average response value and the second average response value are compared. In response to determining that the first average response value and the second average response value differ by more than a predetermined value, an indication of a malfunction of the thermal camera is provided.