Differences
This shows you the differences between two versions of the page.
| Next revision | Previous revision | ||
|
eyes:logics:sumbyreference [2017/06/12 16:04] vzinch created |
eyes:logics:sumbyreference [2017/06/12 18:37] (current) jschlie1 |
||
|---|---|---|---|
| Line 1: | Line 1: | ||
| ====== SumByReference ====== | ====== SumByReference ====== | ||
| - | THIS position should be used for a brief introduction (max 2 sentences!) of the logic, stating WHAT and WHY it is doing something. | + | 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 ===== | ||
| - | 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. | + | Using Ccc bounds parameter can filter out the images that were aligned worse or better than specified Ccc value. |
| + | Note that when Fill gaps option is not checked, the empty sums would just be skipped, and that will affect the imageID of the summed images. | ||
| - | + | ===== Parameters ===== | |
| - | ===== Process ===== | + | |
| |< 100% 30% >| | |< 100% 30% >| | ||
| Line 13: | Line 13: | ||
| | 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) | | ||
| - | |||
| - | |< 100% 30% >| | ||
| - | ^ Input ^ Description ^ | ||
| - | | Input | Sets of images with the reference which will be used to sum | | ||
| - | |||
| - | |< 100% 30% >| | ||
| - | ^ Output ^ Description ^ | ||
| - | | Sums | Images summed according to references | | ||
| - | |||
| - | |||
| - | |||
| - | ===== 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. | ||