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--- eyes:logics:normalization [2017/06/07 15:52]
bgraf
+++ eyes:logics:normalization [2017/06/08 15:42]
jschlie1
@@ Line 1: / Line 1: @@
-====== Template Logic Description ======
+====== Normalization ======
-THIS position should be used for a brief introduction (max 2 sentences!) of the logic, stating WHAT and WHY it is doing something.
+FIXME THIS position should be used for a brief introduction (max 2 sentences!) of the logic, stating WHAT and WHY it is doing something.
 ===== Usage =====
+FIXME 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.
+===== Processors =====
+==== Normalize ====
 This processor is used to generate normalized images out of the input image stack. This is performed according to the specified mean and sigma values.
-===== Parameters ====
+|< 100% 30% >|
+^ Parameters           ^ Description     ^
-=== Mask ===
+| Mask                 | Specifies whether a circular mask is used on the images. |
-Specifies whether a circular mask is used on the images
+| -> Auto crop         | If activated, automatically crops each image to the minimum size. |
+| -> Radius (fraction) | Determines the radius of the applied circular mask. Accepted value range: [0…1] |
-=== Mean ===
+| Mean                 | The desired mean pixel value after normalization. |
-The desired mean pixel value after normalization
+| Sigma                | The desired pixel value standard deviation after normalization. |
-=== Sigma ===
-The desired pixel value standard deviation after normalization
-==== Mask Mode: circular ====
-=== Auto-crop ===
-If activated, automatically crops each image to the minimum size.
-=== Radius (fraction) ===
-Determines the radius of the applied circular mask.
-Accepted value range: [0…1]
-==== Inputs ====
+==== Normalize against background ====
-=== io::input ===
+Here, standard deviation and mean are calculated based on a user set radius, but only pixels that are outside the specified circle are used during the computation. This technique is used to enhance the signal of the images as usually the outer part contains only noise. While in the initial mean and standard deviation computation only the outside pixel values are used, all pixels are adjusted during the application of the new mean and standard deviation. Inverting the image during computation is also possible.
-Stack of input images(1D,2D or 3D)
-==== Outputs ====
+|< 100% 30% >|
-=== io::output ===
+^ Parameters           ^ Description ^
-The output images are normalized.
+| Invert               | Description of this parameter |
+| Mean                 | more description |
+| Radius               | and more more more |
+| Standard deviation   | ... descriptions |
+| Use mask             | ... |
-==== Additional Information ====
+==== Normalize range ====
+FIXME
+|< 100% 30% >|
+^ Parameters           ^ Description ^
+| Maximum              | FIXME |
+| Minimum              | FIXME |
-===== 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.