SELECTION EDITING USING A LOCALIZED LEVEL SET ALGORITHM
First Claim
1. A method for defining a selection mask associated with a source image, the method comprising:
- displaying a selection cursor over the source image, the selection cursor having an interior region and a peripheral region; and
locating an initial position of a selection mask boundary in a portion of the source image that is overlaid by the peripheral region of the selection cursor, wherein the initial position of the selection mask boundary is at least partially based on a boundary that is detected as a result of selectively applying a boundary detection algorithm to a sub-region of the source image.
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Accused Products
Abstract
Techniques are disclosed for selecting a targeted portion of a digital image. In one embodiment, a selection cursor having central and peripheral regions is provided. The central region is used to force a selection or a deselection, and therefore moving the central region over a portion of the image causes that portion of the image to be selected or deselected, respectively. The peripheral region of the cursor surrounds the central region and defines an area where a localized level set algorithm for boundary detection is performed. This provides more accurate boundary detection within the narrowly-focused peripheral region and eliminates the need to apply the level set algorithm across the entire image. Thus moving the peripheral region of the selection cursor over a boundary of the targeted portion of the image applies the level set algorithm in that boundary region and increases the likelihood that the boundary will be detected accurately.
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Citations
20 Claims
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1. A method for defining a selection mask associated with a source image, the method comprising:
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displaying a selection cursor over the source image, the selection cursor having an interior region and a peripheral region; and locating an initial position of a selection mask boundary in a portion of the source image that is overlaid by the peripheral region of the selection cursor, wherein the initial position of the selection mask boundary is at least partially based on a boundary that is detected as a result of selectively applying a boundary detection algorithm to a sub-region of the source image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An image segmentation system, comprising:
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a user interface module configured to overlay on a displayed source image a selection cursor having an interior region and a peripheral region; and an boundary detection module configured to detect a boundary within a region of the source image that is overlaid by the peripheral region, wherein the boundary is detected by applying a level set algorithm to a portion of the source image. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A non-transient computer readable medium having instructions encoded thereon that, when executed by one or more processors, causes an image segmentation process to he carried out, the process comprising:
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displaying a selection cursor over the source image, the selection cursor having an interior region and a peripheral region; and setting an initial position of a selection mask boundary in a portion of the source image that is overlaid by the peripheral region of the selection cursor, wherein the initial position of the selection mask boundary is at least partially based on a boundary that is detected as a result of selectively applying a boundary detection algorithm to a sub-region of the source image. - View Dependent Claims (18, 19, 20)
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Specification