Abstract: Methods and systems disclosed herein provide the capability to automatically process digital pathology images quickly and accurately. According to one embodiment, an digital pathology image segmentation task may be divided into at least two parts. An image segmentation task may be carried out utilizing both bottom-up analysis to capture local definition of features and top-down analysis to use global information to eliminate false positives. In some embodiments, an image segmentation task is carried out using a “pseudo-bootstrapping” iterative technique to produce superior segmentation results. In some embodiments, the superior segmentation results produced by the pseudo-bootstrapping method are used as input in a second segmentation task that uses a combination of bottom-up and top-down analysis.

Abstract: A method for tracking objects includes identifying a target, identifying a plurality of auxiliary objects related to the target, and tracking the target using the plurality of auxiliary objects.

Abstract: Deinterlacing of video involves converting interlaced video to progressive video by interpolating a missing pixel in the interlaced video from other pixels in the video. A plurality of interpolants are provided, each of which interpolates a pixel value from other pixels that are nearby in space and/or time. The data costs of using the various interpolants is calculated. A particular one of the interpolants is chosen based on the data costs associated with the various interpolants. The chosen interpolant is used to interpolate the value of the missing pixel. The interpolated pixel value may be refined based on exemplars. The exemplars may be taken from the video that is being deinterlaced.

Abstract: Systems and methods are disclosed for processing a low resolution image by performing a high resolution edge segment extraction on the low resolution image; performing an image super resolution on each edge segment; performing reconstruction constraint reinforcement; and generating a high quality image from the low quality image.

Abstract: A method for tracking objects includes identifying a target, identifying a plurality of auxiliary objects related to the target, and tracking the target using the plurality of auxiliary objects.