GaussianEdgeDetector (DMLab Library API for 0.0.4-SNAPSHOT)

java.lang.Object
- edu.gsu.cs.dmlab.imageproc.edgedetection.detectors.GaussianEdgeDetector

Direct Known Subclasses:

PrewittEdgeDetector, RobertsCrossEdgeDetector, SobelEdgeDetector
```
public abstract class GaussianEdgeDetector
extends Object
```
This is the parent class for the following edge detector classes:
Author:

Jason Altschuler, modified by Azim Ahmadzadeh and Dustin Kempton of Data Mining Lab, Georgia State Universit

Field Summary

Fields
Modifier and Type Field Description

protected boolean[][] edges
Data structures

protected boolean L1norm

protected double threshold

Constructor Summary

Constructors
Constructor Description

GaussianEdgeDetector()

Method Summary

All Methods Instance Methods Abstract Methods Concrete Methods
Modifier and Type	Method	Description
`protected void`	`findEdges(double[][] image, boolean L1norm)`	Find beautiful edges.
`boolean[][]`	`getEdges()`
`boolean`	`getL1norm()`
`double`	`getThreshold()`
`protected abstract double[][]`	`getXkernel()`	Abstract methods to implement
`protected abstract double[][]`	`getYkernel()`

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

Field Detail

edges
```
protected boolean[][] edges
```
Data structures

threshold
```
protected double threshold
```

L1norm
```
protected boolean L1norm
```

Constructor Detail
- GaussianEdgeDetector
```
public GaussianEdgeDetector()
```

Method Detail
- getXkernel
```
protected abstract double[][] getXkernel()
```
  Abstract methods to implement
- getYkernel
```
protected abstract double[][] getYkernel()
```
- findEdges
```
protected void findEdges(double[][] image,
                         boolean L1norm)
```
  Find beautiful edges.
  
  Parameters:
  
  image -
- getEdges
```
public boolean[][] getEdges()
```
  Returns:
  
  detected edges
- getThreshold
```
public double getThreshold()
```
  Returns:
  
  threshold compared with sgradient magnitudes to find edges
- getL1norm
```
public boolean getL1norm()
```
  Returns:
  
  whether used L1 or L2 distance norm