java.lang.Object
- org.opencv.core.Algorithm
- - org.opencv.features.Feature2D
  - - org.opencv.features.MSER

```
public class MSER
extends Feature2D
```
Maximally stable extremal region extractor The class encapsulates all the parameters of the %MSER extraction algorithm (see [wiki article](http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions)).
- there are two different implementation of %MSER: one for grey image, one for color image
- the grey image algorithm is taken from: CITE: nister2008linear ; the paper claims to be faster than union-find method; it actually get 1.5~2m/s on my centrino L7200 1.2GHz laptop.
- the color image algorithm is taken from: CITE: forssen2007maximally ; it should be much slower than grey image method ( 3~4 times )
- (Python) A complete example showing the use of the %MSER detector can be found at samples/python/mser.py

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

Constructor Summary

Constructors
Modifier Constructor Description

protected MSER(long addr)

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static MSER`	`__fromPtr__(long addr)`
`static MSER`	`create()`	Full constructor for %MSER detector
`static MSER`	`create(int delta)`	Full constructor for %MSER detector
`static MSER`	`create(int delta, int min_area)`	Full constructor for %MSER detector
`static MSER`	`create(int delta, int min_area, int max_area)`	Full constructor for %MSER detector
`static MSER`	`create(int delta, int min_area, int max_area, double max_variation)`	Full constructor for %MSER detector
`static MSER`	`create(int delta, int min_area, int max_area, double max_variation, double min_diversity)`	Full constructor for %MSER detector
`static MSER`	`create(int delta, int min_area, int max_area, double max_variation, double min_diversity, int max_evolution)`	Full constructor for %MSER detector
`static MSER`	`create(int delta, int min_area, int max_area, double max_variation, double min_diversity, int max_evolution, double area_threshold)`	Full constructor for %MSER detector
`static MSER`	`create(int delta, int min_area, int max_area, double max_variation, double min_diversity, int max_evolution, double area_threshold, double min_margin)`	Full constructor for %MSER detector
`static MSER`	`create(int delta, int min_area, int max_area, double max_variation, double min_diversity, int max_evolution, double area_threshold, double min_margin, int edge_blur_size)`	Full constructor for %MSER detector
`void`	`detectRegions(Mat image, java.util.List<MatOfPoint> msers, MatOfRect bboxes)`	Detect %MSER regions
`protected void`	`finalize()`
`double`	`getAreaThreshold()`
`java.lang.String`	`getDefaultName()`	Returns the algorithm string identifier.
`int`	`getDelta()`
`int`	`getEdgeBlurSize()`
`int`	`getMaxArea()`
`int`	`getMaxEvolution()`
`double`	`getMaxVariation()`
`int`	`getMinArea()`
`double`	`getMinDiversity()`
`double`	`getMinMargin()`
`boolean`	`getPass2Only()`
`void`	`setAreaThreshold(double areaThreshold)`
`void`	`setDelta(int delta)`
`void`	`setEdgeBlurSize(int edge_blur_size)`
`void`	`setMaxArea(int maxArea)`
`void`	`setMaxEvolution(int maxEvolution)`
`void`	`setMaxVariation(double maxVariation)`
`void`	`setMinArea(int minArea)`
`void`	`setMinDiversity(double minDiversity)`
`void`	`setMinMargin(double min_margin)`
`void`	`setPass2Only(boolean f)`

Methods inherited from class org.opencv.features.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
  - MSER
```
protected MSER(long addr)
```
- Method Detail
  - __fromPtr__
```
public static MSER __fromPtr__(long addr)
```
  - create
```
public static MSER create(int delta,
                          int min_area,
                          int max_area,
                          double max_variation,
                          double min_diversity,
                          int max_evolution,
                          double area_threshold,
                          double min_margin,
                          int edge_blur_size)
```
    Full constructor for %MSER detector
    
    Parameters:
    
    delta - it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
    
    min_area - prune the area which smaller than minArea
    
    max_area - prune the area which bigger than maxArea
    
    max_variation - prune the area have similar size to its children
    
    min_diversity - for color image, trace back to cut off mser with diversity less than min_diversity
    
    max_evolution - for color image, the evolution steps
    
    area_threshold - for color image, the area threshold to cause re-initialize
    
    min_margin - for color image, ignore too small margin
    
    edge_blur_size - for color image, the aperture size for edge blur
    
    Returns:
    
    automatically generated
  - create
```
public static MSER create(int delta,
                          int min_area,
                          int max_area,
                          double max_variation,
                          double min_diversity,
                          int max_evolution,
                          double area_threshold,
                          double min_margin)
```
    Full constructor for %MSER detector
    
    Parameters:
    
    delta - it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
    
    min_area - prune the area which smaller than minArea
    
    max_area - prune the area which bigger than maxArea
    
    max_variation - prune the area have similar size to its children
    
    min_diversity - for color image, trace back to cut off mser with diversity less than min_diversity
    
    max_evolution - for color image, the evolution steps
    
    area_threshold - for color image, the area threshold to cause re-initialize
    
    min_margin - for color image, ignore too small margin
    
    Returns:
    
    automatically generated
  - create
```
public static MSER create(int delta,
                          int min_area,
                          int max_area,
                          double max_variation,
                          double min_diversity,
                          int max_evolution,
                          double area_threshold)
```
    Full constructor for %MSER detector
    
    Parameters:
    
    delta - it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
    
    min_area - prune the area which smaller than minArea
    
    max_area - prune the area which bigger than maxArea
    
    max_variation - prune the area have similar size to its children
    
    min_diversity - for color image, trace back to cut off mser with diversity less than min_diversity
    
    max_evolution - for color image, the evolution steps
    
    area_threshold - for color image, the area threshold to cause re-initialize
    
    Returns:
    
    automatically generated
  - create
```
public static MSER create(int delta,
                          int min_area,
                          int max_area,
                          double max_variation,
                          double min_diversity,
                          int max_evolution)
```
    Full constructor for %MSER detector
    
    Parameters:
    
    delta - it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
    
    min_area - prune the area which smaller than minArea
    
    max_area - prune the area which bigger than maxArea
    
    max_variation - prune the area have similar size to its children
    
    min_diversity - for color image, trace back to cut off mser with diversity less than min_diversity
    
    max_evolution - for color image, the evolution steps
    
    Returns:
    
    automatically generated
  - create
```
public static MSER create(int delta,
                          int min_area,
                          int max_area,
                          double max_variation,
                          double min_diversity)
```
    Full constructor for %MSER detector
    
    Parameters:
    
    delta - it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
    
    min_area - prune the area which smaller than minArea
    
    max_area - prune the area which bigger than maxArea
    
    max_variation - prune the area have similar size to its children
    
    min_diversity - for color image, trace back to cut off mser with diversity less than min_diversity
    
    Returns:
    
    automatically generated
  - create
```
public static MSER create(int delta,
                          int min_area,
                          int max_area,
                          double max_variation)
```
    Full constructor for %MSER detector
    
    Parameters:
    
    delta - it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
    
    min_area - prune the area which smaller than minArea
    
    max_area - prune the area which bigger than maxArea
    
    max_variation - prune the area have similar size to its children
    
    Returns:
    
    automatically generated
  - create
```
public static MSER create(int delta,
                          int min_area,
                          int max_area)
```
    Full constructor for %MSER detector
    
    Parameters:
    
    delta - it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
    
    min_area - prune the area which smaller than minArea
    
    max_area - prune the area which bigger than maxArea
    
    Returns:
    
    automatically generated
  - create
```
public static MSER create(int delta,
                          int min_area)
```
    Full constructor for %MSER detector
    
    Parameters:
    
    delta - it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
    
    min_area - prune the area which smaller than minArea
    
    Returns:
    
    automatically generated
  - create
```
public static MSER create(int delta)
```
    Full constructor for %MSER detector
    
    Parameters:
    
    delta - it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
    
    Returns:
    
    automatically generated
  - create
```
public static MSER create()
```
    Full constructor for %MSER detector
    
    Returns:
    
    automatically generated
  - detectRegions
```
public void detectRegions(Mat image,
                          java.util.List<MatOfPoint> msers,
                          MatOfRect bboxes)
```
    Detect %MSER regions
    
    Parameters:
    
    image - input image (8UC1, 8UC3 or 8UC4, must be greater or equal than 3x3)
    
    msers - resulting list of point sets
    
    bboxes - resulting bounding boxes
  - setDelta
```
public void setDelta(int delta)
```
  - getDelta
```
public int getDelta()
```
  - setMinArea
```
public void setMinArea(int minArea)
```
  - getMinArea
```
public int getMinArea()
```
  - setMaxArea
```
public void setMaxArea(int maxArea)
```
  - getMaxArea
```
public int getMaxArea()
```
  - setMaxVariation
```
public void setMaxVariation(double maxVariation)
```
  - getMaxVariation
```
public double getMaxVariation()
```
  - setMinDiversity
```
public void setMinDiversity(double minDiversity)
```
  - getMinDiversity
```
public double getMinDiversity()
```
  - setMaxEvolution
```
public void setMaxEvolution(int maxEvolution)
```
  - getMaxEvolution
```
public int getMaxEvolution()
```
  - setAreaThreshold
```
public void setAreaThreshold(double areaThreshold)
```
  - getAreaThreshold
```
public double getAreaThreshold()
```
  - setMinMargin
```
public void setMinMargin(double min_margin)
```
  - getMinMargin
```
public double getMinMargin()
```
  - setEdgeBlurSize
```
public void setEdgeBlurSize(int edge_blur_size)
```
  - getEdgeBlurSize
```
public int getEdgeBlurSize()
```
  - setPass2Only
```
public void setPass2Only(boolean f)
```
  - getPass2Only
```
public boolean getPass2Only()
```
  - 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 MSER

Field Summary

Fields inherited from class org.opencv.core.Algorithm

Constructor Summary

Method Summary

Methods inherited from class org.opencv.features.Feature2D

Methods inherited from class org.opencv.core.Algorithm

Methods inherited from class java.lang.Object

Constructor Detail

MSER

Method Detail

__fromPtr__

create

create

create

create

create

create

create

create

create

create

detectRegions

setDelta

getDelta

setMinArea

getMinArea

setMaxArea

getMaxArea

setMaxVariation

getMaxVariation

setMinDiversity

getMinDiversity

setMaxEvolution

getMaxEvolution

setAreaThreshold

getAreaThreshold

setMinMargin

getMinMargin

setEdgeBlurSize

getEdgeBlurSize

setPass2Only

getPass2Only

getDefaultName

finalize

fromPtr