Image segmentation using reduced foreground training data
US8787658B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 19, 2013 |
| Grant date | Jul 22, 2014 |
| Priority date | — |
| Expiry date | Mar 19, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T7/194
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.