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eyes:logics:sumbyreference [2017/06/12 16:21] vzinch |
eyes:logics:sumbyreference [2017/06/12 18:37] jschlie1 |
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====== SumByReference ====== | ====== SumByReference ====== | ||
- | This logic takes a stack of images, that were previously aligned using some references (e.g. class averages), and sums the images that correspond to same references. This generates Alisums that inherit the Euler angles from the references, thus, can be directly used for 3D reconstruction. | + | This logic takes a stack of images, that were previously aligned using some references (e.g. class averages), and sums the images that correspond to the same references. This generates alisums that inherit the Euler angles from the references, thus, can be directly used for 3D reconstruction. |
===== Usage ===== | ===== Usage ===== | ||
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| Normalize output | Normalize the summed images | | | Normalize output | Normalize the summed images | | ||
| Ccc bounds | Whether to use the ccc between image and reference as a filter (lower and upper bounds should be given) | | | Ccc bounds | Whether to use the ccc between image and reference as a filter (lower and upper bounds should be given) | | ||
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- | ^ Input ^ Description ^ | ||
- | | Input | Sets of images that were previously aligned to some references | | ||
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- | ^ Output ^ Description ^ | ||
- | | Sums | Images summed according to alignment references (Alisums) | | ||
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- | ===== Concept ===== | ||
- | In this paragraph, the "HOW a logic works under the hood" and WHY someone should use it can be elaborated with higher detail. Describes a scenario in an image processing workflow where this logic can be used to solve the resulting problem. Also, wikipages, publications or anything else describing the theory behind an algorithm should be linked here, if applicable. |