using OpenCVForUnity.CoreModule;
using OpenCVForUnity.UtilsModule;
using System;
using System.Collections.Generic;
using System.Runtime.InteropServices;
namespace OpenCVForUnity.Features2dModule
{
// C++: class MSER
/**
* 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
*
*
*/
public class MSER : Feature2D
{
protected override void Dispose(bool disposing)
{
try
{
if (disposing)
{
}
if (IsEnabledDispose)
{
if (nativeObj != IntPtr.Zero)
features2d_MSER_delete(nativeObj);
nativeObj = IntPtr.Zero;
}
}
finally
{
base.Dispose(disposing);
}
}
protected internal MSER(IntPtr addr) : base(addr) { }
// internal usage only
public static new MSER __fromPtr__(IntPtr addr) { return new MSER(addr); }
//
// C++: static Ptr_MSER cv::MSER::create(int delta = 5, int min_area = 60, int max_area = 14400, double max_variation = 0.25, double min_diversity = .2, int max_evolution = 200, double area_threshold = 1.01, double min_margin = 0.003, int edge_blur_size = 5)
//
/**
* Full constructor for %MSER detector
*
* param delta it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
* param min_area prune the area which smaller than minArea
* param max_area prune the area which bigger than maxArea
* param max_variation prune the area have similar size to its children
* param min_diversity for color image, trace back to cut off mser with diversity less than min_diversity
* param max_evolution for color image, the evolution steps
* param area_threshold for color image, the area threshold to cause re-initialize
* param min_margin for color image, ignore too small margin
* param edge_blur_size for color image, the aperture size for edge blur
* return automatically generated
*/
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)
{
return MSER.__fromPtr__(DisposableObject.ThrowIfNullIntPtr(features2d_MSER_create_10(delta, min_area, max_area, max_variation, min_diversity, max_evolution, area_threshold, min_margin, edge_blur_size)));
}
/**
* Full constructor for %MSER detector
*
* param delta it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
* param min_area prune the area which smaller than minArea
* param max_area prune the area which bigger than maxArea
* param max_variation prune the area have similar size to its children
* param min_diversity for color image, trace back to cut off mser with diversity less than min_diversity
* param max_evolution for color image, the evolution steps
* param area_threshold for color image, the area threshold to cause re-initialize
* param min_margin for color image, ignore too small margin
* return automatically generated
*/
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)
{
return MSER.__fromPtr__(DisposableObject.ThrowIfNullIntPtr(features2d_MSER_create_11(delta, min_area, max_area, max_variation, min_diversity, max_evolution, area_threshold, min_margin)));
}
/**
* Full constructor for %MSER detector
*
* param delta it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
* param min_area prune the area which smaller than minArea
* param max_area prune the area which bigger than maxArea
* param max_variation prune the area have similar size to its children
* param min_diversity for color image, trace back to cut off mser with diversity less than min_diversity
* param max_evolution for color image, the evolution steps
* param area_threshold for color image, the area threshold to cause re-initialize
* return automatically generated
*/
public static MSER create(int delta, int min_area, int max_area, double max_variation, double min_diversity, int max_evolution, double area_threshold)
{
return MSER.__fromPtr__(DisposableObject.ThrowIfNullIntPtr(features2d_MSER_create_12(delta, min_area, max_area, max_variation, min_diversity, max_evolution, area_threshold)));
}
/**
* Full constructor for %MSER detector
*
* param delta it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
* param min_area prune the area which smaller than minArea
* param max_area prune the area which bigger than maxArea
* param max_variation prune the area have similar size to its children
* param min_diversity for color image, trace back to cut off mser with diversity less than min_diversity
* param max_evolution for color image, the evolution steps
* return automatically generated
*/
public static MSER create(int delta, int min_area, int max_area, double max_variation, double min_diversity, int max_evolution)
{
return MSER.__fromPtr__(DisposableObject.ThrowIfNullIntPtr(features2d_MSER_create_13(delta, min_area, max_area, max_variation, min_diversity, max_evolution)));
}
/**
* Full constructor for %MSER detector
*
* param delta it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
* param min_area prune the area which smaller than minArea
* param max_area prune the area which bigger than maxArea
* param max_variation prune the area have similar size to its children
* param min_diversity for color image, trace back to cut off mser with diversity less than min_diversity
* return automatically generated
*/
public static MSER create(int delta, int min_area, int max_area, double max_variation, double min_diversity)
{
return MSER.__fromPtr__(DisposableObject.ThrowIfNullIntPtr(features2d_MSER_create_14(delta, min_area, max_area, max_variation, min_diversity)));
}
/**
* Full constructor for %MSER detector
*
* param delta it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
* param min_area prune the area which smaller than minArea
* param max_area prune the area which bigger than maxArea
* param max_variation prune the area have similar size to its children
* return automatically generated
*/
public static MSER create(int delta, int min_area, int max_area, double max_variation)
{
return MSER.__fromPtr__(DisposableObject.ThrowIfNullIntPtr(features2d_MSER_create_15(delta, min_area, max_area, max_variation)));
}
/**
* Full constructor for %MSER detector
*
* param delta it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
* param min_area prune the area which smaller than minArea
* param max_area prune the area which bigger than maxArea
* return automatically generated
*/
public static MSER create(int delta, int min_area, int max_area)
{
return MSER.__fromPtr__(DisposableObject.ThrowIfNullIntPtr(features2d_MSER_create_16(delta, min_area, max_area)));
}
/**
* Full constructor for %MSER detector
*
* param delta it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
* param min_area prune the area which smaller than minArea
* return automatically generated
*/
public static MSER create(int delta, int min_area)
{
return MSER.__fromPtr__(DisposableObject.ThrowIfNullIntPtr(features2d_MSER_create_17(delta, min_area)));
}
/**
* Full constructor for %MSER detector
*
* param delta it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
* return automatically generated
*/
public static MSER create(int delta)
{
return MSER.__fromPtr__(DisposableObject.ThrowIfNullIntPtr(features2d_MSER_create_18(delta)));
}
/**
* Full constructor for %MSER detector
*
* return automatically generated
*/
public static MSER create()
{
return MSER.__fromPtr__(DisposableObject.ThrowIfNullIntPtr(features2d_MSER_create_19()));
}
//
// C++: void cv::MSER::detectRegions(Mat image, vector_vector_Point& msers, vector_Rect& bboxes)
//
/**
* Detect %MSER regions
*
* param image input image (8UC1, 8UC3 or 8UC4, must be greater or equal than 3x3)
* param msers resulting list of point sets
* param bboxes resulting bounding boxes
*/
public void detectRegions(Mat image, List msers, MatOfRect bboxes)
{
ThrowIfDisposed();
if (image != null) image.ThrowIfDisposed();
if (bboxes != null) bboxes.ThrowIfDisposed();
Mat msers_mat = new Mat();
Mat bboxes_mat = bboxes;
features2d_MSER_detectRegions_10(nativeObj, image.nativeObj, msers_mat.nativeObj, bboxes_mat.nativeObj);
Converters.Mat_to_vector_vector_Point(msers_mat, msers);
msers_mat.release();
}
//
// C++: void cv::MSER::setDelta(int delta)
//
public void setDelta(int delta)
{
ThrowIfDisposed();
features2d_MSER_setDelta_10(nativeObj, delta);
}
//
// C++: int cv::MSER::getDelta()
//
public int getDelta()
{
ThrowIfDisposed();
return features2d_MSER_getDelta_10(nativeObj);
}
//
// C++: void cv::MSER::setMinArea(int minArea)
//
public void setMinArea(int minArea)
{
ThrowIfDisposed();
features2d_MSER_setMinArea_10(nativeObj, minArea);
}
//
// C++: int cv::MSER::getMinArea()
//
public int getMinArea()
{
ThrowIfDisposed();
return features2d_MSER_getMinArea_10(nativeObj);
}
//
// C++: void cv::MSER::setMaxArea(int maxArea)
//
public void setMaxArea(int maxArea)
{
ThrowIfDisposed();
features2d_MSER_setMaxArea_10(nativeObj, maxArea);
}
//
// C++: int cv::MSER::getMaxArea()
//
public int getMaxArea()
{
ThrowIfDisposed();
return features2d_MSER_getMaxArea_10(nativeObj);
}
//
// C++: void cv::MSER::setMaxVariation(double maxVariation)
//
public void setMaxVariation(double maxVariation)
{
ThrowIfDisposed();
features2d_MSER_setMaxVariation_10(nativeObj, maxVariation);
}
//
// C++: double cv::MSER::getMaxVariation()
//
public double getMaxVariation()
{
ThrowIfDisposed();
return features2d_MSER_getMaxVariation_10(nativeObj);
}
//
// C++: void cv::MSER::setMinDiversity(double minDiversity)
//
public void setMinDiversity(double minDiversity)
{
ThrowIfDisposed();
features2d_MSER_setMinDiversity_10(nativeObj, minDiversity);
}
//
// C++: double cv::MSER::getMinDiversity()
//
public double getMinDiversity()
{
ThrowIfDisposed();
return features2d_MSER_getMinDiversity_10(nativeObj);
}
//
// C++: void cv::MSER::setMaxEvolution(int maxEvolution)
//
public void setMaxEvolution(int maxEvolution)
{
ThrowIfDisposed();
features2d_MSER_setMaxEvolution_10(nativeObj, maxEvolution);
}
//
// C++: int cv::MSER::getMaxEvolution()
//
public int getMaxEvolution()
{
ThrowIfDisposed();
return features2d_MSER_getMaxEvolution_10(nativeObj);
}
//
// C++: void cv::MSER::setAreaThreshold(double areaThreshold)
//
public void setAreaThreshold(double areaThreshold)
{
ThrowIfDisposed();
features2d_MSER_setAreaThreshold_10(nativeObj, areaThreshold);
}
//
// C++: double cv::MSER::getAreaThreshold()
//
public double getAreaThreshold()
{
ThrowIfDisposed();
return features2d_MSER_getAreaThreshold_10(nativeObj);
}
//
// C++: void cv::MSER::setMinMargin(double min_margin)
//
public void setMinMargin(double min_margin)
{
ThrowIfDisposed();
features2d_MSER_setMinMargin_10(nativeObj, min_margin);
}
//
// C++: double cv::MSER::getMinMargin()
//
public double getMinMargin()
{
ThrowIfDisposed();
return features2d_MSER_getMinMargin_10(nativeObj);
}
//
// C++: void cv::MSER::setEdgeBlurSize(int edge_blur_size)
//
public void setEdgeBlurSize(int edge_blur_size)
{
ThrowIfDisposed();
features2d_MSER_setEdgeBlurSize_10(nativeObj, edge_blur_size);
}
//
// C++: int cv::MSER::getEdgeBlurSize()
//
public int getEdgeBlurSize()
{
ThrowIfDisposed();
return features2d_MSER_getEdgeBlurSize_10(nativeObj);
}
//
// C++: void cv::MSER::setPass2Only(bool f)
//
public void setPass2Only(bool f)
{
ThrowIfDisposed();
features2d_MSER_setPass2Only_10(nativeObj, f);
}
//
// C++: bool cv::MSER::getPass2Only()
//
public bool getPass2Only()
{
ThrowIfDisposed();
return features2d_MSER_getPass2Only_10(nativeObj);
}
//
// C++: String cv::MSER::getDefaultName()
//
public override string getDefaultName()
{
ThrowIfDisposed();
string retVal = Marshal.PtrToStringAnsi(DisposableObject.ThrowIfNullIntPtr(features2d_MSER_getDefaultName_10(nativeObj)));
return retVal;
}
#if (UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR
const string LIBNAME = "__Internal";
#else
const string LIBNAME = "opencvforunity";
#endif
// C++: static Ptr_MSER cv::MSER::create(int delta = 5, int min_area = 60, int max_area = 14400, double max_variation = 0.25, double min_diversity = .2, int max_evolution = 200, double area_threshold = 1.01, double min_margin = 0.003, int edge_blur_size = 5)
[DllImport(LIBNAME)]
private static extern IntPtr features2d_MSER_create_10(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);
[DllImport(LIBNAME)]
private static extern IntPtr features2d_MSER_create_11(int delta, int min_area, int max_area, double max_variation, double min_diversity, int max_evolution, double area_threshold, double min_margin);
[DllImport(LIBNAME)]
private static extern IntPtr features2d_MSER_create_12(int delta, int min_area, int max_area, double max_variation, double min_diversity, int max_evolution, double area_threshold);
[DllImport(LIBNAME)]
private static extern IntPtr features2d_MSER_create_13(int delta, int min_area, int max_area, double max_variation, double min_diversity, int max_evolution);
[DllImport(LIBNAME)]
private static extern IntPtr features2d_MSER_create_14(int delta, int min_area, int max_area, double max_variation, double min_diversity);
[DllImport(LIBNAME)]
private static extern IntPtr features2d_MSER_create_15(int delta, int min_area, int max_area, double max_variation);
[DllImport(LIBNAME)]
private static extern IntPtr features2d_MSER_create_16(int delta, int min_area, int max_area);
[DllImport(LIBNAME)]
private static extern IntPtr features2d_MSER_create_17(int delta, int min_area);
[DllImport(LIBNAME)]
private static extern IntPtr features2d_MSER_create_18(int delta);
[DllImport(LIBNAME)]
private static extern IntPtr features2d_MSER_create_19();
// C++: void cv::MSER::detectRegions(Mat image, vector_vector_Point& msers, vector_Rect& bboxes)
[DllImport(LIBNAME)]
private static extern void features2d_MSER_detectRegions_10(IntPtr nativeObj, IntPtr image_nativeObj, IntPtr msers_mat_nativeObj, IntPtr bboxes_mat_nativeObj);
// C++: void cv::MSER::setDelta(int delta)
[DllImport(LIBNAME)]
private static extern void features2d_MSER_setDelta_10(IntPtr nativeObj, int delta);
// C++: int cv::MSER::getDelta()
[DllImport(LIBNAME)]
private static extern int features2d_MSER_getDelta_10(IntPtr nativeObj);
// C++: void cv::MSER::setMinArea(int minArea)
[DllImport(LIBNAME)]
private static extern void features2d_MSER_setMinArea_10(IntPtr nativeObj, int minArea);
// C++: int cv::MSER::getMinArea()
[DllImport(LIBNAME)]
private static extern int features2d_MSER_getMinArea_10(IntPtr nativeObj);
// C++: void cv::MSER::setMaxArea(int maxArea)
[DllImport(LIBNAME)]
private static extern void features2d_MSER_setMaxArea_10(IntPtr nativeObj, int maxArea);
// C++: int cv::MSER::getMaxArea()
[DllImport(LIBNAME)]
private static extern int features2d_MSER_getMaxArea_10(IntPtr nativeObj);
// C++: void cv::MSER::setMaxVariation(double maxVariation)
[DllImport(LIBNAME)]
private static extern void features2d_MSER_setMaxVariation_10(IntPtr nativeObj, double maxVariation);
// C++: double cv::MSER::getMaxVariation()
[DllImport(LIBNAME)]
private static extern double features2d_MSER_getMaxVariation_10(IntPtr nativeObj);
// C++: void cv::MSER::setMinDiversity(double minDiversity)
[DllImport(LIBNAME)]
private static extern void features2d_MSER_setMinDiversity_10(IntPtr nativeObj, double minDiversity);
// C++: double cv::MSER::getMinDiversity()
[DllImport(LIBNAME)]
private static extern double features2d_MSER_getMinDiversity_10(IntPtr nativeObj);
// C++: void cv::MSER::setMaxEvolution(int maxEvolution)
[DllImport(LIBNAME)]
private static extern void features2d_MSER_setMaxEvolution_10(IntPtr nativeObj, int maxEvolution);
// C++: int cv::MSER::getMaxEvolution()
[DllImport(LIBNAME)]
private static extern int features2d_MSER_getMaxEvolution_10(IntPtr nativeObj);
// C++: void cv::MSER::setAreaThreshold(double areaThreshold)
[DllImport(LIBNAME)]
private static extern void features2d_MSER_setAreaThreshold_10(IntPtr nativeObj, double areaThreshold);
// C++: double cv::MSER::getAreaThreshold()
[DllImport(LIBNAME)]
private static extern double features2d_MSER_getAreaThreshold_10(IntPtr nativeObj);
// C++: void cv::MSER::setMinMargin(double min_margin)
[DllImport(LIBNAME)]
private static extern void features2d_MSER_setMinMargin_10(IntPtr nativeObj, double min_margin);
// C++: double cv::MSER::getMinMargin()
[DllImport(LIBNAME)]
private static extern double features2d_MSER_getMinMargin_10(IntPtr nativeObj);
// C++: void cv::MSER::setEdgeBlurSize(int edge_blur_size)
[DllImport(LIBNAME)]
private static extern void features2d_MSER_setEdgeBlurSize_10(IntPtr nativeObj, int edge_blur_size);
// C++: int cv::MSER::getEdgeBlurSize()
[DllImport(LIBNAME)]
private static extern int features2d_MSER_getEdgeBlurSize_10(IntPtr nativeObj);
// C++: void cv::MSER::setPass2Only(bool f)
[DllImport(LIBNAME)]
private static extern void features2d_MSER_setPass2Only_10(IntPtr nativeObj, [MarshalAs(UnmanagedType.U1)] bool f);
// C++: bool cv::MSER::getPass2Only()
[DllImport(LIBNAME)]
[return: MarshalAs(UnmanagedType.U1)]
private static extern bool features2d_MSER_getPass2Only_10(IntPtr nativeObj);
// C++: String cv::MSER::getDefaultName()
[DllImport(LIBNAME)]
private static extern IntPtr features2d_MSER_getDefaultName_10(IntPtr nativeObj);
// native support for java finalize()
[DllImport(LIBNAME)]
private static extern void features2d_MSER_delete(IntPtr nativeObj);
}
}