java.lang.Object
- org.opencv.core.Algorithm
- - org.opencv.features2d.Feature2D
  - - org.opencv.xfeatures2d.HarrisLaplaceFeatureDetector

```
public class HarrisLaplaceFeatureDetector
extends Feature2D
```
Class implementing the Harris-Laplace feature detector as described in CITE: Mikolajczyk2004.

Field Summary
- Fields inherited from class org.opencv.core.Algorithm
  nativeObj

Constructor Summary

Constructors
Modifier Constructor Description

protected HarrisLaplaceFeatureDetector(long addr)

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static HarrisLaplaceFeatureDetector`	`__fromPtr__(long addr)`
`static HarrisLaplaceFeatureDetector`	`create()`	Creates a new implementation instance.
`static HarrisLaplaceFeatureDetector`	`create(int numOctaves)`	Creates a new implementation instance.
`static HarrisLaplaceFeatureDetector`	`create(int numOctaves, float corn_thresh)`	Creates a new implementation instance.
`static HarrisLaplaceFeatureDetector`	`create(int numOctaves, float corn_thresh, float DOG_thresh)`	Creates a new implementation instance.
`static HarrisLaplaceFeatureDetector`	`create(int numOctaves, float corn_thresh, float DOG_thresh, int maxCorners)`	Creates a new implementation instance.
`static HarrisLaplaceFeatureDetector`	`create(int numOctaves, float corn_thresh, float DOG_thresh, int maxCorners, int num_layers)`	Creates a new implementation instance.
`protected void`	`finalize()`
`float`	`getCornThresh()`
`java.lang.String`	`getDefaultName()`	Returns the algorithm string identifier.
`float`	`getDOGThresh()`
`int`	`getMaxCorners()`
`int`	`getNumLayers()`
`int`	`getNumOctaves()`
`void`	`setCornThresh(float corn_thresh_)`
`void`	`setDOGThresh(float DOG_thresh_)`
`void`	`setMaxCorners(int maxCorners_)`
`void`	`setNumLayers(int num_layers_)`
`void`	`setNumOctaves(int numOctaves_)`

Methods inherited from class org.opencv.features2d.Feature2D
compute, compute, defaultNorm, descriptorSize, descriptorType, detect, detect, detect, detect, detectAndCompute, detectAndCompute, empty, read, write

Methods inherited from class org.opencv.core.Algorithm
clear, getNativeObjAddr, save

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

- Constructor Detail
  - HarrisLaplaceFeatureDetector
```
protected HarrisLaplaceFeatureDetector(long addr)
```
- Method Detail
  - __fromPtr__
```
public static HarrisLaplaceFeatureDetector __fromPtr__(long addr)
```
  - create
```
public static HarrisLaplaceFeatureDetector create(int numOctaves,
                                                  float corn_thresh,
                                                  float DOG_thresh,
                                                  int maxCorners,
                                                  int num_layers)
```
    Creates a new implementation instance.
    
    Parameters:
    
    numOctaves - the number of octaves in the scale-space pyramid
    
    corn_thresh - the threshold for the Harris cornerness measure
    
    DOG_thresh - the threshold for the Difference-of-Gaussians scale selection
    
    maxCorners - the maximum number of corners to consider
    
    num_layers - the number of intermediate scales per octave
    
    Returns:
    
    automatically generated
  - create
```
public static HarrisLaplaceFeatureDetector create(int numOctaves,
                                                  float corn_thresh,
                                                  float DOG_thresh,
                                                  int maxCorners)
```
    Creates a new implementation instance.
    
    Parameters:
    
    numOctaves - the number of octaves in the scale-space pyramid
    
    corn_thresh - the threshold for the Harris cornerness measure
    
    DOG_thresh - the threshold for the Difference-of-Gaussians scale selection
    
    maxCorners - the maximum number of corners to consider
    
    Returns:
    
    automatically generated
  - create
```
public static HarrisLaplaceFeatureDetector create(int numOctaves,
                                                  float corn_thresh,
                                                  float DOG_thresh)
```
    Creates a new implementation instance.
    
    Parameters:
    
    numOctaves - the number of octaves in the scale-space pyramid
    
    corn_thresh - the threshold for the Harris cornerness measure
    
    DOG_thresh - the threshold for the Difference-of-Gaussians scale selection
    
    Returns:
    
    automatically generated
  - create
```
public static HarrisLaplaceFeatureDetector create(int numOctaves,
                                                  float corn_thresh)
```
    Creates a new implementation instance.
    
    Parameters:
    
    numOctaves - the number of octaves in the scale-space pyramid
    
    corn_thresh - the threshold for the Harris cornerness measure
    
    Returns:
    
    automatically generated
  - create
```
public static HarrisLaplaceFeatureDetector create(int numOctaves)
```
    Creates a new implementation instance.
    
    Parameters:
    
    numOctaves - the number of octaves in the scale-space pyramid
    
    Returns:
    
    automatically generated
  - create
```
public static HarrisLaplaceFeatureDetector create()
```
    Creates a new implementation instance.
    
    Returns:
    
    automatically generated
  - setNumOctaves
```
public void setNumOctaves(int numOctaves_)
```
  - getNumOctaves
```
public int getNumOctaves()
```
  - setCornThresh
```
public void setCornThresh(float corn_thresh_)
```
  - getCornThresh
```
public float getCornThresh()
```
  - setDOGThresh
```
public void setDOGThresh(float DOG_thresh_)
```
  - getDOGThresh
```
public float getDOGThresh()
```
  - setMaxCorners
```
public void setMaxCorners(int maxCorners_)
```
  - getMaxCorners
```
public int getMaxCorners()
```
  - setNumLayers
```
public void setNumLayers(int num_layers_)
```
  - getNumLayers
```
public int getNumLayers()
```
  - getDefaultName
```
public java.lang.String getDefaultName()
```
    Description copied from class: Algorithm
    
    Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.
    
    Overrides:
    
    getDefaultName in class Feature2D
    
    Returns:
    
    automatically generated
  - finalize
```
protected void finalize()
                 throws java.lang.Throwable
```
    Overrides:
    
    finalize in class Feature2D
    
    Throws:
    
    java.lang.Throwable

Class HarrisLaplaceFeatureDetector

Field Summary

Fields inherited from class org.opencv.core.Algorithm

Constructor Summary

Method Summary

Methods inherited from class org.opencv.features2d.Feature2D

Methods inherited from class org.opencv.core.Algorithm

Methods inherited from class java.lang.Object

Constructor Detail

HarrisLaplaceFeatureDetector

Method Detail

__fromPtr__

create

create

create

create

create

create

setNumOctaves

getNumOctaves

setCornThresh

getCornThresh

setDOGThresh

getDOGThresh

setMaxCorners

getMaxCorners

setNumLayers

getNumLayers

getDefaultName

finalize

fromPtr