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US 12,007,546 B2Granted
Determination of contextual information for interchangeable components of an optical system
AssigneeCarl Zeiss Microscopy GmbH
InventorsDaniel Haase, Thomas Ohrt
Life of this patent
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Abstract
At least one image is obtained which images an external view of at least one interchangeable component (111-116) of an optical system (100). Contextual information for the at least one interchangeable component (111-116) is determined on the basis of the at least one image.
Claims14
A method, comprising:
- obtaining at least one image which depicts an external view of at least one interchangeable component of an optical system, and
- determining contextual information for the at least one interchangeable component on the basis of the at least one image,
- wherein the contextual information is determined using an image processing algorithm and/or a machine learning algorithm, using an artificial neural network or a support vector machine,
- wherein the at least one interchangeable component comprises an interchangeable objective,
- wherein the at least one image depicts a front lens of the interchangeable objective,
- determining a center of the front lens in the at least one image, and
- determining a contrast profile of the at least one image in a radial direction proceeding from the center of the front lens, the contrast profile indicating a change in contrast of the at least one image in the radial direction,
- wherein the contextual information is determined using the contrast profile.
5 more elements
The method as claimed in 1,
- wherein the at least one interchangeable component is selected from the following group:
- stage insert;
- illumination module;
- analyzer stand;
- Wollaston (Nomarski) prism, stand;
- and filter insert.
3 more elements
A method, comprising:
- obtaining at least one image which depicts an external view of at least one interchangeable component of an optical system, and
- determining contextual information for the at least one interchangeable component on the basis of the at least one image,
- wherein the contextual information is determined using an image processing algorithm and/or a machine learning algorithm, using an artificial neural network or a support vector machine,
- wherein the contextual information is indicative of geometric dimensions of the at least one interchangeable component, wherein the method furthermore comprises:
- on the basis of the contextual information:
- recognizing possible collisions between the at least one interchangeable component and a further component of the optical system.
3 more elements
A device comprising at least one processor, configured to carry out the following steps:
- obtaining at least one image which depicts an external view of at least one interchangeable component of an optical system,
- determining contextual information for the at least one interchangeable component on the basis of the at least one image,
- wherein the contextual information is determined using an image processing algorithm and/or a machine learning algorithm, using an artificial neural network or a support vector machine,
- wherein the at least one interchangeable component comprises an interchangeable objective,
- wherein the at least one image depicts a front lens of the interchangeable objective—determining a center of the front lens in the at least one image, and
- determining a contrast profile of the at least one image in a radial direction proceeding from the center of the front lens, the contrast profile indicating a change in contrast of the at least one image in the radial direction,
- wherein the contextual information is determined using the contrast profile.
4 more elements
A device comprising at least one processor, configured to carry out the following steps:
- obtaining at least one image which depicts an external view of at least one interchangeable component of an optical system, and
- determining contextual information for the at least one interchangeable component on the basis of the at least one image,
- wherein the contextual information is determined using an image processing algorithm and/or a machine learning algorithm, using an artificial neural network or a support vector machine,
- wherein the contextual information is indicative of geometric dimensions of the at least one interchangeable component,
- wherein the method furthermore comprises:
- on the basis of the contextual information:
- recognizing possible collisions between the at least one interchangeable component and a further component of the optical system.
4 more elements
Dependencies are inferred from the claim text.