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This shows you the differences between two versions of the page.

--- eyes:logics:masking [2017/06/07 19:00]
jschlie1 created
+++ eyes:logics:masking [2017/06/12 19:13] (current)
jschlie1
@@ Line 1: / Line 1: @@
 ====== Masking ======
-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 provides several tools to create and manipulate masks for 3D volumes. For manual contouring use the interactive contouring logic.
-===== 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.
-===== Example ====
-Here, a very specific example should be given/described. In the future, this can be supported by screenshots etc.. For the moment, give an example easy enough for the user to understand, but specific enough to elaborate why a given parameter is a good set for this very situation.
 ===== Processes =====
 ==== Convert binary mask to contouring mask ====
-Here, a short introduction for the given mode should be placed. Again, state WHAT and WHY this mode us useful in not more than 2 sentences.
+Converts a binary mask to a contouring mask with the values of the input binary mask as its first layer.
 ==== Create soft mask from image ====
-Here, a short introduction for the given mode should be placed. Again, state WHAT and WHY this mode us useful in not more than 2 sentences.
+Creates a soft mask from a 3D input. First, the map is binarized a the given threshold. Second, the binary mask is expanded by the kernel radius. Now, an additional soft transition is added to the mask resulting in the final softmask.
 |< 100% 30% >|
 ^ Parameters           ^ Description     ^
-| Kernel radius        | Description of this parameter |
+| Kernel radius        | Number of pixel added to the binarized mask for expansion. |
-| Min segment size [%] | more description |
+| Min segment size [%] | Percentage of total volume that needs to be enclosed by the mask. This helps to create the mask only for large volumes/maps while excluding small dirt particles. |
-| Soft kernel radius   | and more more more |
+| Soft kernel radius   | Additionally to the kernel, a soft transition is added to the mask to prevent sharp edges. |
-| Threshold            | ... descriptions |
+| Threshold            | Initial threshold of map where binarization is applied. |
 ==== Invert mask ====
-Here, a short introduction for the given mode should be placed. Again, state WHAT and WHY this mode us useful in not more than 2 sentences.
+Each pixel value of every image is inverted with respect to the value spectrum of all pixels. If the image value spectrum ranges from 0 to 1, a pixel with value 1 will become 0 and vise versa.
 ==== Soft circle ====
-Here, a short introduction for the given mode should be placed. Again, state WHAT and WHY this mode us useful in not more than 2 sentences.
+FIXME
 |< 100% 30% >|
 ^ Parameters           ^ Description     ^
-| Threshold for binarization        | Description of this parameter |
+| Threshold for binarization        | Initial threshold of volume where binarization is applied. |
-===== 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.