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eyes:logics:boxmanipulation [2017/06/07 17:13] bgraf |
eyes:logics:boxmanipulation [2017/06/08 13:37] jschlie1 |
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| - | ====== Box Manipulation ====== | + | ====== BoxManipulation ====== |
| - | THIS position should be used for a brief introduction (max 2 sentences!) of the logic, stating WHAT and WHY it is doing something. | + | FIXME |
| ===== 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. | + | FIXME |
| - | + | ||
| - | ===== 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 ===== | ===== Processes ===== | ||
| - | |||
| ==== Canvas Resize ==== | ==== Canvas Resize ==== | ||
| Resizes images to the side length specified by the input value. This is carried out by either cropping or padding the images, depending on whether the image size is supposed to be reduced or enlarged. | Resizes images to the side length specified by the input value. This is carried out by either cropping or padding the images, depending on whether the image size is supposed to be reduced or enlarged. | ||
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| ==== Coarse ==== | ==== Coarse ==== | ||
| - | Averages images with a certain factor n specified by value. n x n pixels are averaged together resulting in a by factor n (with respect to the image side length) smaller image. Generates smaller images with higher pixelsize for initial image processing. | + | Averages images with a certain factor n. |
| + | |||
| + | n x n pixels are averaged together resulting in a smaller image with respect to the image side length. | ||
| + | Produces smaller images with higher pixelsize for initial image processing. | ||
| |< 100% 30% >| | |< 100% 30% >| | ||
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| ^ Parameters ^ Description ^ | ^ Parameters ^ Description ^ | ||
| | Coarse factor | The coarse factor used to calculate the new image size (oldSize / coarseFactor = newSize). | | | Coarse factor | The coarse factor used to calculate the new image size (oldSize / coarseFactor = newSize). | | ||
| - | |||
| - | **Inputs** | ||
| - | |||
| - | io:input: Any stack of images in real space, up to 3D | ||
| - | |||
| - | **Outputs** | ||
| - | |||
| - | io:output: Cropped images | ||
| ==== Noise Padding ==== | ==== Noise Padding ==== | ||
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| | Padding Factor | | | | Padding Factor | | | ||
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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. | ||