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Box Manipulation
THIS position should be used for a brief introduction (max 2 sentences!) of the logic, stating WHAT and WHY it is doing something.
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
Crop Image
Parameters | Description |
---|---|
Back | |
Bottom | |
Front | |
Left | |
Right | |
Top |
FFT Resize
Parameters | Description |
---|---|
Pad Size |
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.
Parameters | Description |
---|---|
Value | Number of pixels to be averaged in each direction |
Fourier Coarse
This processor coarses images in Fourier space. It allows floating point numbers to be used as coarse factors.
Parameters | Description |
---|---|
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
Scale
Scales images by the given value n
Parameters | Description |
---|---|
Scale Factor | represents the factor n the input images are scaled with |
Written Header Values
- pixelSize: Pixel size after scaling
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.
Parameters | Description |
---|---|
New Size (X=Y) | Final image side length in pixel |
Example Usage
Changing image size without changing the magnification (or Angstrom/pixel ratio)
Zero Padding
Parameters | Description |
---|---|
Padding Factor |
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.