An electronic device may include noise statistics circuitry to receive input image data corresponding to an image displayable on an electronic display. The input image data may include one or more channels of pixel data. The noise statistics circuitry may also determine a subset of pixel data of a channel of pixel data that qualifies for statistics gathering according to qualification criteria. Additionally, the noise statistics circuitry may determine noise statistics based on the subset of pixel data, and identify image features within the subset of pixel data based on the noise statistics. The image features may include frequency signatures, differentiated from noise, that correspond to features of content of the image. The electronic device may also include enhancement circuitry to enhance the input image data based on the noise statistics and the identified image features. Such enhancement circuitry may substantially preserve the image features within the input image data.

An example system includes a stand configured to position a computing device proximate to a physical activity surface. The system further includes a video capture device, a detector, and an activity application. The video capture device is coupled for communication with the computing device and is adapted to capture a video stream that includes an activity scene of the physical activity surface and one or more interface objects physically interactable with by a user. The detector is executable to detect motion in the activity scene based on the processing and, responsive to detecting the motion, process the video stream to detect one or more interface objects included in the activity scene of the physical activity surface. The activity application is executable to present virtual information on a display of the computing device based on the one or more detected interface objects.

A method and system for detection of contaminants present on a lens of an imaging device is disclosed. An input image received from an imaging device is split into a plurality of patches of predefined size and a kurtosis value calculated for each and compared with a median kurtosis value. Patches having kurtosis value less than the median kurtosis value are selected. Based on comparison of a first maximum likelihood of the selected patches with a predefined threshold, one or more selected patches are stored. Such patches are split into a top and a bottom portion for processing based on discrete wavelet transform and singular value decomposition, respectively. The top and the bottom portion are merged patches for which a second maximum likelihood is greater than a second predefined threshold, are stored. Further, contaminants in the image are classified into predefined categories based on one or more image features.

A computing system can receive an image including foreground pixels. The foreground pixels can be determined based on determining eccentricity .sub.k based on a sequence of images acquired by a stationary sensor. The vehicle can determine moving objects in the image based on the foreground pixels. The vehicle can be operated based on the moving objects in the image.

An electronic device may include noise statistics circuitry to receive input image data corresponding to an image displayable on an electronic display. The input image data may include one or more channels of pixel data. The noise statistics circuitry may also determine a subset of pixel data of a channel of pixel data that qualifies for statistics gathering according to qualification criteria. Additionally, the noise statistics circuitry may determine noise statistics based on the subset of pixel data, and identify image features within the subset of pixel data based on the noise statistics. The image features may include frequency signatures, differentiated from noise, that correspond to features of content of the image. The electronic device may also include enhancement circuitry to enhance the input image data based on the noise statistics and the identified image features. Such enhancement circuitry may substantially preserve the image features within the input image data.

An example system includes a stand configured to position a computing device proximate to a physical activity surface. The system further includes a video capture device, a detector, and an activity application. The video capture device is coupled for communication with the computing device and is adapted to capture a video stream that includes an activity scene of the physical activity surface and one or more interface objects physically interactable with by a user. The detector is executable to detect motion in the activity scene based on the processing and, responsive to detecting the motion, process the video stream to detect one or more interface objects included in the activity scene of the physical activity surface. The activity application is executable to present virtual information on a display of the computing device based on the one or more detected interface objects.

A method for recognizing characters in an image of a document having at least one alphanumeric field. The method includes the steps of enhancing an image contrast to highlight the characters in the image; detecting contours of objects in the image to create a mask that highlights the characters; segmenting the image using a tree with connected components and applying the mask thereto in order to extract the characters from the image; performing a character recognition on the extracted objects. A device for implementing the method.

An embodiment of an image processor device includes technology to fetch a feature point data set from outside a local memory, locally store three or more fetched feature point data sets in the local memory, compute orientation information for each fetched feature point data set, compute first descriptor information based on the computed orientation information and a first locally stored feature point data set in parallel with a fetch and local store of a second feature point data set in the local memory, and compute second descriptor information based on the computed orientation information and the second locally stored feature point data set in parallel with the compute of the first descriptor information. Other embodiments are disclosed and claimed.

Systems and methods for discriminating between malignant and benign pigmented skin lesions based on optical analysis using spatial distribution maps, morphological parameters, and additional diagnostic parameters derived from images of tissue lesions. A handheld optical transfer diagnosis device is disclosed capable of capturing a series of reflectance images of a skin lesion at a variety of angles of illumination and observation.

A method includes receiving an image from a mammogram, removing noise from the image, computing a point of interest on the de-noised image, creating a mesoscale region of interest on the de-noised image, computing a connectivity for the mesoscale region of interest, identifying a connected component using the computed connectivity, where the connected component represents a branch of a global curvilinear structure, selecting a set of branches based on a physical property for each branch of the global curvilinear structure, pruning each branch based on an error-tolerant, adaptive polynomial fit, identifying remaining regions of interest in each pruned branch, and growing a chain formed by remaining points of interest included in the remaining regions of interest, where the chain represents a macroscopic, global curvilinear calcified arterial structure. The quantitation of the calcified arterial structures may be used as a biomarker for risk stratification of heart disease.