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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.
Usage
Here, a general/generic description of HOW the logic is USED should be given. Try to be as general as possible, but also mention prerequisites, restrictions, advantages, requirements which are specific of this logic. Basically everything the user needs to know to successfully use this logic.
Process
| Parameters | Description |
|---|---|
| Fill gaps | If checked, the reference without any corresponding images will output an empty image, if not - just skipped |
| 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) |
| Input | Description |
|---|---|
| Input | Sets of images that were previously aligned to some references |
| Output | Description |
|---|---|
| Sums | Images summed according to alignment references (Alisums) |
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.