NoiseAdder (ImageJ2 Javadocs 0-SNAPSHOT API)

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java.lang.Object
- net.imagej.plugins.commands.assign.NoiseAdder<T>

```
public class NoiseAdder<T extends RealType<T>>
extends Object
```
Fills an output Dataset by applying random noise to an input Dataset. This class is used by AddDefaultNoiseToDataValues and AddSpecificNoiseToDataValues. They each manipulate setStdDev(). This class can be used to implement simple (1 pixel neighborhood) gaussian noise addition without requiring a plugin.

Author:

Barry DeZonia

Constructor Summary

Constructors
Constructor and Description
`NoiseAdder(Dataset dataset, Overlay overlay, Position pos)` Constructor - takes an input Dataset as the baseline data to compute perturbed values from.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`run()` Runs the operation and returns the Dataset that contains the output data
`protected void`	`setStdDev(double stdDev)` Specify the standard deviation of the gaussian range desired.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - NoiseAdder
```
public NoiseAdder(Dataset dataset,
                  Overlay overlay,
                  Position pos)
```
    Constructor - takes an input Dataset as the baseline data to compute perturbed values from.
- Method Detail
  - setStdDev
```
protected void setStdDev(double stdDev)
```
    Specify the standard deviation of the gaussian range desired. affects the distance of perturbation of each data value.
  - run
```
public void run()
```
    Runs the operation and returns the Dataset that contains the output data

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