Invention Grant
- Patent Title: Image segmentation using reduced foreground training data
- Patent Title (中): 使用减少的前景训练数据的图像分割
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Application No.: US12718321Application Date: 2010-03-05
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Publication No.: US08422769B2Publication Date: 2013-04-16
- Inventor: Carsten Curt Eckard Rother , Toby Sharp , Andrew Blake , Vladimir Kolmogorov
- Applicant: Carsten Curt Eckard Rother , Toby Sharp , Andrew Blake , Vladimir Kolmogorov
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Zete Law, P.L.L.C.
- Agent MacLane C. Key
- Main IPC: G06K9/62
- IPC: G06K9/62

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.
Public/Granted literature
- US20110216965A1 Image Segmentation Using Reduced Foreground Training Data Public/Granted day:2011-09-08
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