System and method for performing auto-focused tomosynthesis
First Claim
1. A method comprising:
- capturing detector image data for at least a portion of an object under inspection; and
using said detector image data for computing gradient information for at least one depth layer of said at least a portion of said object under inspection without first tomosynthetically reconstructing a full image of said at least one depth layer.
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Abstract
A system and method for performing auto-focusing operations for tomosynthetic reconstruction of images are provided. More specifically, embodiments of the present invention provide a system and method for efficiently computing the gradient of one or more depth layers of an object under inspection, wherein such gradients may be used in performing auto-focusing operations to determine a depth layer that includes an in-focus view of a feature that is of interest. In at least one embodiment, a method is provided that comprises capturing detector image data for an object under inspection, and using the detector image data for computing gradient information for at least one depth layer of the object under inspection without first tomosynthetically reconstructing a full image of the at least one depth layer.
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Citations
27 Claims
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1. A method comprising:
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capturing detector image data for at least a portion of an object under inspection; and
using said detector image data for computing gradient information for at least one depth layer of said at least a portion of said object under inspection without first tomosynthetically reconstructing a full image of said at least one depth layer. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system comprising:
an auto-focusing processor operable to compute a wavelet transform for a captured detector image of at least a portion of an object under inspection and use the wavelet transform to perform auto-focusing. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22)
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23. A system comprising:
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means for capturing a detector image of at least a portion of an object under inspection;
means for computing a wavelet transform for said captured detector image; and
means for computing a gradient for at least one depth layer of said object under inspection from the wavelet transform. - View Dependent Claims (24)
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25. A method comprising:
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capturing radiographic image data for at least a portion of an object under inspection; and
performing auto-focusing to determine, from a plurality of depth layers of said object under inspection in which a layer of interest potentially resides, said depth layer of interest, wherein the auto-focusing does not require fully reconstructing all of said plurality of depth layers. - View Dependent Claims (26, 27)
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Specification