FeatureDetection (Imaging 2.0.0 API)

Type Parameters:

E - Type of Elements in collection of the feature

I - Type of Image wrapped by ImageWrapper

All Known Implementing Classes:

AbstractEdgeFeatureDetection, AbstractPointFeatureDetection, OpenCVEdgeFeatureDetection, OpenCVPointFeatureDetection
```
public interface FeatureDetection<E,I>
```
This interface is used to compute a `FeatureWrapper` of an image. This can be done with algorithms like GradientMagnitude, CannyEdge, Sift or similar algorithms.

Since:

1.0

Author:

Christoph Praschl

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`FeatureWrapper<E>`	`getFeature(ImageWrapper<I> img, String additionalParameters)`	Method for computing feature of an image source.
`FeatureWrapper<E>`	`getFeature(ImageWrapper<I> img, String additionalParameters, int bestX)`	Method for computing feature of an image source.

- Method Detail
  - getFeature
```
FeatureWrapper<E> getFeature(ImageWrapper<I> img,
                             String additionalParameters)
```
    Method for computing feature of an image source.
    
    Parameters:
    
    img - is the source for which features should be extracted
    
    additionalParameters - additional parameters to set for the feature detection
    
    Returns:
    
    A featurewrapper containing the computed features of the image.
  - getFeature
```
FeatureWrapper<E> getFeature(ImageWrapper<I> img,
                             String additionalParameters,
                             int bestX)
```
    Method for computing feature of an image source.
    
    Parameters:
    
    img - is the source for which features should be extracted
    
    additionalParameters - additional parameters to set for the feature detection
    
    bestX - the maximum number of elements that should be in the featureWrapper
    
    Returns:
    
    A featurewrapper containing the computed features of the image.