C# 클래스 Accord.Imaging.Tools

Static tool functions for imaging.

References: P. D. Kovesi. MATLAB and Octave Functions for Computer Vision and Image Processing. School of Computer Science and Software Engineering, The University of Western Australia. Available in: http://www.csse.uwa.edu.au/~pk/Research/MatlabFns/Match/matchbycorrelation.m

파일 보기 프로젝트 열기: accord-net/framework 1 사용 예제들

공개 메소드들

메소드	설명
Center ( this rectangle ) : Point	Computes the center of a given rectangle.
Collinear ( PointF pt1, PointF pt2, PointF pt3 ) : bool	Detects if three points are collinear.
Collinear ( Accord.Imaging.PointH pt1, Accord.Imaging.PointH pt2, Accord.Imaging.PointH pt3 ) : bool	Detects if three points are collinear.
Fundamental ( PointF points1, PointF points2 ) : ].float[	Creates the fundamental matrix between two images from a set of points from each image.
Fundamental ( Accord.Imaging.PointH points1, Accord.Imaging.PointH points2 ) : ].float[	Creates the fundamental matrix between two images from a set of points from each image.
Fundamental ( Accord.Imaging.PointH points1, Accord.Imaging.PointH points2, Accord.Imaging.PointH &epipoles ) : ].float[	Creates the fundamental matrix between two images from a set of points from each image.
GetFormat ( string fileName ) : ImageFormat	Gets the image format most likely associated with a given file name.
Homography ( PointF points1, PointF points2 ) : MatrixH	Creates an homography matrix matching points from a set of points to another.
Homography ( Accord.Imaging.PointH points1, Accord.Imaging.PointH points2 ) : MatrixH	Creates an homography matrix matching points from a set of points to another.
InnerProduct ( this a, PointF b ) : float	Computes the inner product of two points.
IsEqual ( this objA, Rectangle objB, int threshold ) : bool	Compares two rectangles for equality, considering an acceptance threshold.
Max ( this image ) : int	Computes the maximum pixel value in the given image.
Max ( this image, Rectangle rectangle ) : int	Computes the maximum pixel value in the given image.
Max ( this image, int channel ) : int	Computes the maximum pixel value in the given image.
Mean ( this image ) : double	Computes the arithmetic mean of the pixels in a given image.
Mean ( this image, Rectangle rectangle ) : double	Computes the arithmetic mean of the pixels in a given image.
Min ( this image ) : int	Computes the minimum pixel value in the given image.
Min ( this image, Rectangle rectangle ) : int	Computes the minimum pixel value in the given image.
Min ( this image, int channel ) : int	Computes the maximum pixel value in the given image.
Multiply ( this transformationMatrix, PointF point ) : float[]	Multiplies a transformation matrix and a point.
Multiply ( this point, float transformationMatrix ) : float[]	Multiplies a point by a transformation matrix.
Normalize ( this points, MatrixH &transformation ) : System.Drawing.PointF[]	Normalizes a set of homogeneous points so that the origin is located at the centroid and the mean distance to the origin is sqrt(2).
Normalize ( this points, float &transformation ) : System.Drawing.PointF[]	Normalizes a set of homogeneous points so that the origin is located at the centroid and the mean distance to the origin is sqrt(2).
Normalize ( this points, MatrixH &transformation ) : Accord.Imaging.PointH[]	Normalizes a set of homogeneous points so that the origin is located at the centroid and the mean distance to the origin is sqrt(2).
Normalize ( this points, float &transformation ) : Accord.Imaging.PointH[]	Normalizes a set of homogeneous points so that the origin is located at the centroid and the mean distance to the origin is sqrt(2).
StandardDeviation ( this image, Rectangle rectangle, double mean ) : double	Computes the standard deviation of image pixels.
StandardDeviation ( this image, double mean ) : double	Computes the standard deviation of image pixels.
Sum ( this image ) : int	Computes the sum of the pixels in a given image.
Sum ( this image, Rectangle rectangle ) : int	Computes the sum of the pixels in a given image.
Sum ( this image, Rectangle rectangle ) : long	Computes the sum of the pixels in a given image.
TransformPoints ( this fundamentalMatrix ) : System.Drawing.PointF[]	Transforms the given points using this transformation matrix.

비공개 메소드들

메소드	설명
ToBitmap ( this pixels ) : Bitmap
ToBitmap ( this pixels, int width, int height ) : Bitmap
ToBitmap ( this pixels, int width, int height, double min, double max ) : Bitmap
ToDoubleArray ( this image, int channel ) : double[]
ToDoubleArray ( this image, int channel, double min, double max ) : double[]
ToDoubleArray ( this image ) : double[][]
ToDoubleArray ( this image, double min, double max ) : double[][]
ToDoubleMatrix ( this image, int channel ) : ].double[
ToDoubleMatrix ( this image, int channel, double min, double max ) : ].double[
createFundamentalMatrix ( float A ) : ].float[

메소드 상세

Center() 공개 정적인 메소드

Computes the center of a given rectangle.

public static Center ( this rectangle ) : Point
rectangle	this
리턴	Point

Collinear() 공개 정적인 메소드

Detects if three points are collinear.

public static Collinear ( PointF pt1, PointF pt2, PointF pt3 ) : bool
pt1	System.Drawing.PointF
pt2	System.Drawing.PointF
pt3	System.Drawing.PointF
리턴	bool

Collinear() 공개 정적인 메소드

Detects if three points are collinear.

public static Collinear ( Accord.Imaging.PointH pt1, Accord.Imaging.PointH pt2, Accord.Imaging.PointH pt3 ) : bool
pt1	Accord.Imaging.PointH
pt2	Accord.Imaging.PointH
pt3	Accord.Imaging.PointH
리턴	bool

Fundamental() 공개 정적인 메소드

Creates the fundamental matrix between two images from a set of points from each image.

public static Fundamental ( PointF points1, PointF points2 ) : ].float[
points1	System.Drawing.PointF
points2	System.Drawing.PointF
리턴	].float[

Fundamental() 공개 정적인 메소드

Creates the fundamental matrix between two images from a set of points from each image.

public static Fundamental ( Accord.Imaging.PointH points1, Accord.Imaging.PointH points2 ) : ].float[
points1	Accord.Imaging.PointH
points2	Accord.Imaging.PointH
리턴	].float[

Fundamental() 공개 정적인 메소드

Creates the fundamental matrix between two images from a set of points from each image.

public static Fundamental ( Accord.Imaging.PointH points1, Accord.Imaging.PointH points2, Accord.Imaging.PointH &epipoles ) : ].float[
points1	Accord.Imaging.PointH
points2	Accord.Imaging.PointH
epipoles	Accord.Imaging.PointH
리턴	].float[

GetFormat() 공개 정적인 메소드

Gets the image format most likely associated with a given file name.

public static GetFormat ( string fileName ) : ImageFormat
fileName	string	The filename in the form "image.jpg".
리턴	System.Drawing.Imaging.ImageFormat

Homography() 공개 정적인 메소드

Creates an homography matrix matching points from a set of points to another.

public static Homography ( PointF points1, PointF points2 ) : MatrixH
points1	System.Drawing.PointF
points2	System.Drawing.PointF
리턴	MatrixH

Homography() 공개 정적인 메소드

Creates an homography matrix matching points from a set of points to another.

public static Homography ( Accord.Imaging.PointH points1, Accord.Imaging.PointH points2 ) : MatrixH
points1	Accord.Imaging.PointH
points2	Accord.Imaging.PointH
리턴	MatrixH

InnerProduct() 공개 정적인 메소드

Computes the inner product of two points.

public static InnerProduct ( this a, PointF b ) : float
a	this
b	System.Drawing.PointF
리턴	float

IsEqual() 공개 정적인 메소드

Compares two rectangles for equality, considering an acceptance threshold.

public static IsEqual ( this objA, Rectangle objB, int threshold ) : bool
objA	this
objB	System.Drawing.Rectangle
threshold	int
리턴	bool

Max() 공개 정적인 메소드

Computes the maximum pixel value in the given image.

public static Max ( this image ) : int
image	this
리턴	int

Max() 공개 정적인 메소드

Computes the maximum pixel value in the given image.

public static Max ( this image, Rectangle rectangle ) : int
image	this
rectangle	System.Drawing.Rectangle
리턴	int

Max() 공개 정적인 메소드

Computes the maximum pixel value in the given image.

public static Max ( this image, int channel ) : int
image	this
channel	int
리턴	int

Mean() 공개 정적인 메소드

Computes the arithmetic mean of the pixels in a given image.

public static Mean ( this image ) : double
image	this
리턴	double

Mean() 공개 정적인 메소드

Computes the arithmetic mean of the pixels in a given image.

public static Mean ( this image, Rectangle rectangle ) : double
image	this
rectangle	System.Drawing.Rectangle
리턴	double

Min() 공개 정적인 메소드

Computes the minimum pixel value in the given image.

public static Min ( this image ) : int
image	this
리턴	int

Min() 공개 정적인 메소드

Computes the minimum pixel value in the given image.

public static Min ( this image, Rectangle rectangle ) : int
image	this
rectangle	System.Drawing.Rectangle
리턴	int

Min() 공개 정적인 메소드

Computes the maximum pixel value in the given image.

public static Min ( this image, int channel ) : int
image	this
channel	int
리턴	int

Multiply() 공개 정적인 메소드

Multiplies a transformation matrix and a point.

public static Multiply ( this transformationMatrix, PointF point ) : float[]
transformationMatrix	this
point	System.Drawing.PointF
리턴	float[]

Multiply() 공개 정적인 메소드

Multiplies a point by a transformation matrix.

public static Multiply ( this point, float transformationMatrix ) : float[]
point	this
transformationMatrix	float
리턴	float[]

Normalize() 공개 정적인 메소드

Normalizes a set of homogeneous points so that the origin is located at the centroid and the mean distance to the origin is sqrt(2).

public static Normalize ( this points, MatrixH &transformation ) : System.Drawing.PointF[]
points	this
transformation	MatrixH
리턴	System.Drawing.PointF[]

Normalize() 공개 정적인 메소드

Normalizes a set of homogeneous points so that the origin is located at the centroid and the mean distance to the origin is sqrt(2).

public static Normalize ( this points, float &transformation ) : System.Drawing.PointF[]
points	this
transformation	float
리턴	System.Drawing.PointF[]

Normalize() 공개 정적인 메소드

Normalizes a set of homogeneous points so that the origin is located at the centroid and the mean distance to the origin is sqrt(2).

public static Normalize ( this points, MatrixH &transformation ) : Accord.Imaging.PointH[]
points	this
transformation	MatrixH
리턴	Accord.Imaging.PointH[]

Normalize() 공개 정적인 메소드

Normalizes a set of homogeneous points so that the origin is located at the centroid and the mean distance to the origin is sqrt(2).

public static Normalize ( this points, float &transformation ) : Accord.Imaging.PointH[]
points	this
transformation	float
리턴	Accord.Imaging.PointH[]

StandardDeviation() 공개 정적인 메소드

Computes the standard deviation of image pixels.

public static StandardDeviation ( this image, Rectangle rectangle, double mean ) : double
image	this
rectangle	System.Drawing.Rectangle
mean	double
리턴	double

StandardDeviation() 공개 정적인 메소드

Computes the standard deviation of image pixels.

public static StandardDeviation ( this image, double mean ) : double
image	this
mean	double
리턴	double

Sum() 공개 정적인 메소드

Computes the sum of the pixels in a given image.

public static Sum ( this image ) : int
image	this
리턴	int

Sum() 공개 정적인 메소드

Computes the sum of the pixels in a given image.

public static Sum ( this image, Rectangle rectangle ) : int
image	this
rectangle	System.Drawing.Rectangle
리턴	int

Sum() 공개 정적인 메소드

Computes the sum of the pixels in a given image.

public static Sum ( this image, Rectangle rectangle ) : long
image	this
rectangle	System.Drawing.Rectangle
리턴	long

TransformPoints() 공개 정적인 메소드

Transforms the given points using this transformation matrix.

public static TransformPoints ( this fundamentalMatrix ) : System.Drawing.PointF[]
fundamentalMatrix	this
리턴	System.Drawing.PointF[]