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AssigneeMicrosoft Corporation
InventorsCarsten Curt Eckard Rother, Toby Sharp, Andrew Blake, Vladimir Kolmogorov
Estimating the term…
Methods of image segmentation using reduced foreground training data are described. In an embodiment, the foreground and background training data for use in segmentation of an image is determined by optimization of a modified energy function. The modified energy function is the energy function used in image segmentation with an additional term comprising a scalar value. The optimization is performed for different values of the scalar to produce multiple initial segmentations and one of these segmentations is selected based on pre-defined criteria. The training data is then used in segmenting the image. In other embodiments further methods are described: one places an ellipse inside the user-defined bounding box to define the background training data and another uses a comparison of properties of neighboring image elements, where one is outside the user-defined bounding box, to reduce the foreground training data.
A computer-implemented method of segmenting an image into foreground and background portions, the method comprising:
A computer-implemented method of segmenting an image into foreground and background portions, the method comprising:
One or more tangible device-readable media with device-executable instructions that, when executed by a computing system, direct the computing system to perform steps comprising:
Dependencies are inferred from the claim text.