cv::hfs::HfsSegment クラス

cv::Algorithmを継承しています。

公開メンバ関数
virtual CV_WRAP void	setSegEgbThresholdI (float c)=0
	: set and get the parameter segEgbThresholdI. This parameter is used in the second stage mentioned above. It is a constant used to threshold weights of the edge when merging adjacent nodes when applying EGB algorithm. The segmentation result tends to have more regions remained if this value is large and vice versa.
virtual CV_WRAP float	getSegEgbThresholdI ()=0
virtual CV_WRAP void	setMinRegionSizeI (int n)=0
	: set and get the parameter minRegionSizeI. This parameter is used in the second stage mentioned above. After the EGB segmentation, regions that have fewer pixels then this parameter will be merged into it's adjacent region.
virtual CV_WRAP int	getMinRegionSizeI ()=0
virtual CV_WRAP void	setSegEgbThresholdII (float c)=0
	: set and get the parameter segEgbThresholdII. This parameter is used in the third stage mentioned above. It serves the same purpose as segEgbThresholdI. The segmentation result tends to have more regions remained if this value is large and vice versa.
virtual CV_WRAP float	getSegEgbThresholdII ()=0
virtual CV_WRAP void	setMinRegionSizeII (int n)=0
	: set and get the parameter minRegionSizeII. This parameter is used in the third stage mentioned above. It serves the same purpose as minRegionSizeI
virtual CV_WRAP int	getMinRegionSizeII ()=0
virtual CV_WRAP void	setSpatialWeight (float w)=0
	: set and get the parameter spatialWeight. This parameter is used in the first stage mentioned above(the SLIC stage). It describes how important is the role of position when calculating the distance between each pixel and it's center. The exact formula to calculate the distance is . The segmentation result tends to have more local consistency if this value is larger.
virtual CV_WRAP float	getSpatialWeight ()=0
virtual CV_WRAP void	setSlicSpixelSize (int n)=0
	: set and get the parameter slicSpixelSize. This parameter is used in the first stage mentioned above(the SLIC stage). It describes the size of each superpixel when initializing SLIC. Every superpixel approximately has pixels in the beginning.
virtual CV_WRAP int	getSlicSpixelSize ()=0
virtual CV_WRAP void	setNumSlicIter (int n)=0
	: set and get the parameter numSlicIter. This parameter is used in the first stage. It describes how many iteration to perform when executing SLIC.
virtual CV_WRAP int	getNumSlicIter ()=0
virtual CV_WRAP Mat	performSegmentGpu (InputArray src, bool ifDraw=true)=0
	do segmentation gpu [詳解]
virtual CV_WRAP Mat	performSegmentCpu (InputArray src, bool ifDraw=true)=0
	do segmentation with cpu This method is only implemented for reference. It is highly NOT recommanded to use it.
基底クラス cv::Algorithm に属する継承公開メンバ関数
virtual CV_WRAP void	clear ()
	Clears the algorithm state [詳解]
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage [詳解]
CV_WRAP void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。
virtual CV_WRAP void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage [詳解]
virtual CV_WRAP bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read [詳解]
virtual CV_WRAP void	save (const String &filename) const
virtual CV_WRAP String	getDefaultName () const

静的公開メンバ関数
static CV_WRAP Ptr< HfsSegment >	create (int height, int width, float segEgbThresholdI=0.08f, int minRegionSizeI=100, float segEgbThresholdII=0.28f, int minRegionSizeII=200, float spatialWeight=0.6f, int slicSpixelSize=8, int numSlicIter=5)
	: create a hfs object [詳解]
基底クラス cv::Algorithm に属する継承静的公開メンバ関数
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node [詳解]
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file [詳解]
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String [詳解]

その他の継承メンバ
基底クラス cv::Algorithm に属する継承限定公開メンバ関数
void	writeFormat (FileStorage &fs) const

関数詳解

create()

static CV_WRAP Ptr< HfsSegment > cv::hfs::HfsSegment::create ( int  height, int  width, float  segEgbThresholdI = 0.08f, int  minRegionSizeI = 100, float  segEgbThresholdII = 0.28f, int  minRegionSizeII = 200, float  spatialWeight = 0.6f, int  slicSpixelSize = 8, int  numSlicIter = 5  )

static

: create a hfs object

引数

height	the height of the input image
width	the width of the input image
segEgbThresholdI	parameter segEgbThresholdI
minRegionSizeI	parameter minRegionSizeI
segEgbThresholdII	parameter segEgbThresholdII
minRegionSizeII	parameter minRegionSizeII
spatialWeight	parameter spatialWeight
slicSpixelSize	parameter slicSpixelSize
numSlicIter	parameter numSlicIter

performSegmentGpu()

virtual CV_WRAP Mat cv::hfs::HfsSegment::performSegmentGpu ( InputArray  src, bool  ifDraw = true  )

pure virtual

do segmentation gpu

引数

src	the input image
ifDraw	if draw the image in the returned Mat. if this parameter is false, then the content of the returned Mat is a matrix of index, describing the region each pixel belongs to. And it's data type is CV_16U. If this parameter is true, then the returned Mat is a segmented picture, and color of each region is the average color of all pixels in that region. And it's data type is the same as the input image

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このクラス詳解は次のファイルから抽出されました:

• hfs.hpp