Emgu CV Library Documentation
Image<(Of <(TColor, TDepth>)>) Class
NamespacesEmgu.CVImage<(Of <(TColor, TDepth>)>)

www.emgu.com/wiki
A wrapper for IplImage
Declaration Syntax
C#Visual BasicVisual C++
[SerializableAttribute]
public class Image<TColor, TDepth> : CvArray<TDepth>, 
	IImage, IDisposable, ICloneable, IEquatable<Image<TColor, TDepth>>
where TColor : struct, new(), IColor
<SerializableAttribute> _
Public Class Image(Of TColor As {Structure, New, IColor}, TDepth) _
	Inherits CvArray(Of TDepth) _
	Implements IImage, IDisposable, ICloneable, IEquatable(Of Image(Of TColor, TDepth))
[SerializableAttribute]
generic<typename TColor, typename TDepth>
where TColor : value class, gcnew(), IColor
public ref class Image : public CvArray<TDepth>, 
	IImage, IDisposable, ICloneable, IEquatable<Image<TColor, TDepth>^>
Generic Template Parameters
TColor
Color type of this image (either Gray, Bgr, Bgra, Hsv, Hls, Lab, Luv, Xyz or Ycc)
TDepth
Depth of this image (either Byte, SByte, Single, double, UInt16, Int16 or Int32)
Members
All MembersConstructorsMethodsPropertiesFields



IconMemberDescription
Image<(Of <(TColor, TDepth>)>)()()()
Create an empty Image

Image<(Of <(TColor, TDepth>)>)(array<TDepth,3>[,,](,,)[,,])
Create image from the specific multi-dimensional data, where the 1st dimesion is # of rows (height), the 2nd dimension is # cols (cols) and the 3rd dimension is the channel

Image<(Of <(TColor, TDepth>)>)(String)
Read image from a file

Image<(Of <(TColor, TDepth>)>)(Bitmap)
Obtain the image from the specific Bitmap

Image<(Of <(TColor, TDepth>)>)(Int32, Int32, TColor)
Create a blank Image of the specified width, height and color.

Image<(Of <(TColor, TDepth>)>)(Int32, Int32)
Create a blank Image of the specified width and height.

Image<(Of <(TColor, TDepth>)>)(Size)
Create a blank Image of the specific size

Image<(Of <(TColor, TDepth>)>)(array<Image<(Of <(Gray, TDepth>)>)>[]()[])
Create a multi-channel image from multiple gray scale images

Image<(Of <(TColor, TDepth>)>)(SerializationInfo, StreamingContext)
Constructor used to deserialize runtime serialized object

_And(CvArray<(Of <(TDepth>)>))
Inplace And operation with src2
(Inherited from CvArray<(Of <(TDepth>)>).)
_dataHandle
The pinned GCHandle to _array;
(Inherited from CvArray<(Of <(TDepth>)>).)
_Dilate(Int32)
Dilates this image inplace using a 3x3 rectangular structuring element. Dilation are applied serveral (iterations) times

_EqualizeHist()()()
The algorithm normalizes brightness and increases contrast of the image

_Erode(Int32)
Erodes this image inplace using a 3x3 rectangular structuring element. Erosion are applied serveral (iterations) times

_Flip(FLIP)
Inplace flip the image

_Max(Double)
Inplace compute the elementwise maximum value with val
(Inherited from CvArray<(Of <(TDepth>)>).)
_Max(CvArray<(Of <(TDepth>)>))
Inplace elementwise maximize the current Array with src2
(Inherited from CvArray<(Of <(TDepth>)>).)
_Min(Double)
Inplace compute the elementwise minimum value
(Inherited from CvArray<(Of <(TDepth>)>).)
_Min(CvArray<(Of <(TDepth>)>))
Inplace elementwise minimize the current Array with src2
(Inherited from CvArray<(Of <(TDepth>)>).)
_MorphologyEx(StructuringElementEx, CV_MORPH_OP, Int32)
Perform inplace advanced morphological transformations using erosion and dilation as basic operations.

_Mul(Double)
Inplace multiply elements of the Array by scale
(Inherited from CvArray<(Of <(TDepth>)>).)
_Mul(CvArray<(Of <(TDepth>)>))
Inplace elementwise multiply the current Array with src2
(Inherited from CvArray<(Of <(TDepth>)>).)
_Not()()()
Inplace compute the complement for all Array Elements
(Inherited from CvArray<(Of <(TDepth>)>).)
_Or(CvArray<(Of <(TDepth>)>))
Inplace Or operation with src2
(Inherited from CvArray<(Of <(TDepth>)>).)
_ptr
A pointer to the unmanaged object
(Inherited from UnmanagedObject.)
_SmoothGaussian(Int32)
Perform Gaussian Smoothing inplace for the current image

_SmoothGaussian(Int32, Int32, Double, Double)
Perform Gaussian Smoothing inplace for the current image

_ThresholdBinary(TColor, TColor)
Threshold the image inplace such that: dst(x,y) = max_value, if src(x,y)>threshold; 0, otherwise

_ThresholdBinaryInv(TColor, TColor)
Threshold the image inplace such that: dst(x,y) = 0, if src(x,y)>threshold; max_value, otherwise

_ThresholdToZero(TColor)
Threshold the image inplace such that: dst(x,y) = src(x,y), if src(x,y)>threshold; 0, otherwise

_ThresholdToZeroInv(TColor)
Threshold the image inplace such that: dst(x,y) = 0, if src(x,y)>threshold; src(x,y), otherwise

_ThresholdTrunc(TColor)
Threshold the image inplace such that: dst(x,y) = threshold, if src(x,y)>threshold; src(x,y), otherwise

AbsDiff(Image<(Of <(TColor, TDepth>)>))
Computes absolute different between this image and the other image

Acc(Image<(Of <(TColor, TDepth>)>), Image<(Of <(Gray, Byte>)>))
Accumulate img2 to the current image using the specific mask

Acc(Image<(Of <(TColor, TDepth>)>))
Accumulate img2 to the current image using the specific mask

Action(Action<(Of <(TDepth>)>))
perform an generic action based on each element of the Image

Action<(Of <(TOtherDepth>)>)(Image<(Of <(TColor, TOtherDepth>)>), Toolbox..::.Action<(Of <(TDepth, TOtherDepth>)>))
perform an generic operation based on the elements of the two images

Add(Image<(Of <(TColor, TDepth>)>))
Elementwise add another image with the current image

Add(Image<(Of <(TColor, TDepth>)>), Image<(Of <(Gray, Byte>)>))
Elementwise add img2 with the current image, using a mask

Add(TColor)
Elementwise add a color val to the current image

Addition(Image<(Of <(TColor, TDepth>)>), Image<(Of <(TColor, TDepth>)>))
Elementwise add img1 with img2

Addition(Double, Image<(Of <(TColor, TDepth>)>))
Elementwise add img1 with val

Addition(Image<(Of <(TColor, TDepth>)>), Double)
Elementwise add img1 with val

Addition(Image<(Of <(TColor, TDepth>)>), TColor)
Elementwise add img1 with val

Addition(TColor, Image<(Of <(TColor, TDepth>)>))
Elementwise add img1 with val

AddWeighted(Image<(Of <(TColor, TDepth>)>), Double, Double, Double)
Return the weighted sum such that: res = this * alpha + img2 * beta + gamma

AllocateData(Int32, Int32, Int32)
Allocate data for the array
(Overrides CvArray<(Of <(TDepth>)>).AllocateData(Int32, Int32, Int32).)
And(Image<(Of <(TColor, TDepth>)>))
Perform an elementwise AND operation with another image and return the result

And(Image<(Of <(TColor, TDepth>)>), Image<(Of <(Gray, Byte>)>))
Perform an elementwise AND operation with another image, using a mask, and return the result

And(TColor)
Perform an binary AND operation with some color

And(TColor, Image<(Of <(Gray, Byte>)>))
Perform an binary AND operation with some color using a mask

AvgSdv(TColor%, MCvScalar%, Image<(Of <(Gray, Byte>)>))
Calculates the average value and standard deviation of array elements, independently for each channel

AvgSdv(TColor%, MCvScalar%)
Calculates the average value and standard deviation of array elements, independently for each channel

Bitmap
The Get property provide a more efficient way to convert Image<Gray, Byte>, Image<Bgr, Byte> and Image<Bgra, Byte> into Bitmap such that the image data is shared with Bitmap. If you change the pixel value on the Bitmap, you change the pixel values on the Image object as well! For other types of image this property has the same effect as ToBitmap() Take extra caution not to use the Bitmap after the Image object is disposed The Set property convert the bitmap to this Image type.

BitmapFormats
File formats supported by Bitmap. Image are converted to Bitmap then perform file operations if the file type belongs to one of following format.

BitwiseAnd(Image<(Of <(TColor, TDepth>)>), Image<(Of <(TColor, TDepth>)>))
Perform an elementwise AND operation on the two images

BitwiseAnd(Image<(Of <(TColor, TDepth>)>), Double)
Perform an elementwise AND operation using an images and a color

BitwiseAnd(Double, Image<(Of <(TColor, TDepth>)>))
Perform an elementwise AND operation using an images and a color

BitwiseAnd(Image<(Of <(TColor, TDepth>)>), TColor)
Perform an elementwise AND operation using an images and a color

BitwiseAnd(TColor, Image<(Of <(TColor, TDepth>)>))
Perform an elementwise AND operation using an images and a color

BitwiseOr(Image<(Of <(TColor, TDepth>)>), Image<(Of <(TColor, TDepth>)>))
Perform an elementwise OR operation with another image and return the result

BitwiseOr(Image<(Of <(TColor, TDepth>)>), Double)
Perform an binary OR operation with some color

BitwiseOr(Double, Image<(Of <(TColor, TDepth>)>))
Perform an binary OR operation with some color

BitwiseOr(Image<(Of <(TColor, TDepth>)>), TColor)
Perform an binary OR operation with some color

BitwiseOr(TColor, Image<(Of <(TColor, TDepth>)>))
Perform an binary OR operation with some color

Bytes
Get or Set an Array of bytes that represent the data in this array
(Inherited from CvArray<(Of <(TDepth>)>).)
Canny(TColor, TColor)
Find the edges on this image and marked them in the returned image.

Clone()()()
Make a clone of the current image. All image data as well as the COI and ROI are cloned

Cmp(Image<(Of <(TColor, TDepth>)>), CMP_TYPE)
This function compare the current image with img2 and returns the comparison mask

Cmp(Double, CMP_TYPE)
This function compare the current image with value and returns the comparison mask

Cols
The number of cols for this array
(Inherited from CvArray<(Of <(TDepth>)>).)
Convert<(Of <(TOtherColor, TOtherDepth>)>)()()()
Convert the current image to the specific color and depth

Convert<(Of <(TOtherDepth>)>)(Toolbox..::.Func<(Of <(TDepth, Int32, Int32, TOtherDepth>)>))
Compute the element of a new image based on the value as well as the x and y positions of each pixel on the image

Convert<(Of <(TOtherDepth>)>)(Converter<(Of <(TDepth, TOtherDepth>)>))
Compute the element of the new image based on element of this image

Convert<(Of <(TDepth2, TDepth3>)>)(Image<(Of <(TColor, TDepth2>)>), Toolbox..::.Func<(Of <(TDepth, TDepth2, TDepth3>)>))
Compute the element of the new image based on the elements of the two image

Convert<(Of <(TDepth2, TDepth3, TDepth4>)>)(Image<(Of <(TColor, TDepth2>)>), Image<(Of <(TColor, TDepth3>)>), Toolbox..::.Func<(Of <(TDepth, TDepth2, TDepth3, TDepth4>)>))
Compute the element of the new image based on the elements of the three image

Convert<(Of <(TDepth2, TDepth3, TDepth4, TDepth5>)>)(Image<(Of <(TColor, TDepth2>)>), Image<(Of <(TColor, TDepth3>)>), Image<(Of <(TColor, TDepth4>)>), Toolbox..::.Func<(Of <(TDepth, TDepth2, TDepth3, TDepth4, TDepth5>)>))
Compute the element of the new image based on the elements of the four image

ConvertFrom<(Of <(TSrcColor, TSrcDepth>)>)(Image<(Of <(TSrcColor, TSrcDepth>)>))
Convert the source image to the current image, if the size are different, the current image will be a resized version of the srcImage.

ConvertScale<(Of <(TOtherDepth>)>)(Double, Double)
Convert the current image to the specific depth, at the same time scale and shift the values of the pixel

Convolution(ConvolutionKernelF)
performs a convolution using the provided kernel

Copy(Image<(Of <(TColor, TDepth>)>), Image<(Of <(Gray, Byte>)>))
Copy the masked area of this image to destination

Copy(Image<(Of <(Gray, Byte>)>))
Make a copy of the image using a mask, if ROI is set, only copy the ROI

Copy(Rectangle)
Make a copy of the specific ROI (Region of Interest)

Copy()()()
Make a copy of the image, if ROI is set, only copy the ROI

CopyBlank()()()
Create an image of the same size

CopyTo(CvArray<(Of <(TDepth>)>))
Copy the current array to dest
(Inherited from CvArray<(Of <(TDepth>)>).)
CountNonzero()()()
Count the non Zero elements for each channel

CvDepth
Get the equivalent opencv depth type for this image

Data
Get or Set the data for this matrix

DeserializeObjectData(SerializationInfo, StreamingContext)
A function used for runtime deserailization of the object
(Inherited from CvArray<(Of <(TDepth>)>).)
DetectHaarCascade(HaarCascade)
Detect HaarCascade object in the current image, using predifined parameters

DetectHaarCascade(HaarCascade, Double, Int32, HAAR_DETECTION_TYPE, Size)
Finds rectangular regions in the given image that are likely to contain objects the cascade has been trained for and returns those regions as a sequence of rectangles. The function scans the image several times at different scales (see cvSetImagesForHaarClassifierCascade). Each time it considers overlapping regions in the image and applies the classifiers to the regions using cvRunHaarClassifierCascade. It may also apply some heuristics to reduce number of analyzed regions, such as Canny prunning. After it has proceeded and collected the candidate rectangles (regions that passed the classifier cascade), it groups them and returns a sequence of average rectangles for each large enough group. The default parameters (scale_factor=1.1, min_neighbors=3, flags=0) are tuned for accurate yet slow object detection. For a faster operation on real video images the settings are: scale_factor=1.2, min_neighbors=2, flags=CV_HAAR_DO_CANNY_PRUNING, min_size=<minimum possible face size> (for example, ~1/4 to 1/16 of the image area in case of video conferencing).

Dilate(Int32)
Dilates this image using a 3x3 rectangular structuring element. Dilation are applied serveral (iterations) times

Dispose()()()
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.)
Dispose(Boolean)
Release the all the memory associate with this object
(Inherited from DisposableObject.)
DisposeObject()()()
Release all unmanaged memory associate with the image
(Overrides CvArray<(Of <(TDepth>)>).DisposeObject()()().)
Division(Image<(Of <(TColor, TDepth>)>), Double)
img1 / scale

Division(Double, Image<(Of <(TColor, TDepth>)>))
scale / img1

DotProduct(CvArray<(Of <(TDepth>)>))
Calculates and returns the Euclidean dot product of two arrays. src1 dot src2 = sumI(src1(I)*src2(I))
(Inherited from CvArray<(Of <(TDepth>)>).)
Draw<(Of <(T>)>)(MCvBox2D, TColor, Int32)
Draw a box of the specific color and thickness

Draw(Rectangle, TColor, Int32)
Draw an Rectangle of the specific color and thickness

Draw(Cross2DF, TColor, Int32)
Draw a 2D Cross using the specific color and thickness

Draw(LineSegment2DF, TColor, Int32)
Draw a line segment using the specific color and thickness

Draw(LineSegment2D, TColor, Int32)
Draw a line segment using the specific color and thickness

Draw(IConvexPolygonF, TColor, Int32)
Draw a convex polygon using the specific color and thickness

Draw(CircleF, TColor, Int32)
Draw a Circle of the specific color and thickness

Draw(Ellipse, TColor, Int32)
Draw a Ellipse of the specific color and thickness

Draw(String, MCvFont%, Point, TColor)
Draw the text using the specific font on the image

Draw(Seq<(Of <(Point>)>), TColor, Int32)
Draws contour outlines in the image if thickness>=0 or fills area bounded by the contours if thickness<0

Draw(Seq<(Of <(Point>)>), TColor, TColor, Int32, Int32)
Draws contour outlines in the image if thickness>=0 or fills area bounded by the contours if thickness<0

Draw(Seq<(Of <(Point>)>), TColor, TColor, Int32, Int32, Point)
Draws contour outlines in the image if thickness>=0 or fills area bounded by the contours if thickness<0

DrawPolyline<(Of <(T>)>)(array<Point>[]()[], Boolean, TColor, Int32)
Draw the polyline defined by the array of 2D points

DrawPolyline(array<Point>[]()[], Boolean, TColor, Int32)
Draw the polyline defined by the array of 2D points

DrawPolyline(array<array<Point>[]()[]>[]()[], Boolean, TColor, Int32)
Draw the polylines defined by the array of array of 2D points

Equals(Image<(Of <(TColor, TDepth>)>))
Compare two images, returns true if the each of the pixels are equal, false otherwise

Equals(Object)
Determines whether the specified Object is equal to the current Object.
(Inherited from Object.)
EqualSize<(Of <(D2>)>)(CvArray<(Of <(D2>)>))
Determine if the size (width and height) of this Array equals the size of src2
(Inherited from CvArray<(Of <(TDepth>)>).)
Erode(Int32)
Erodes this image using a 3x3 rectangular structuring element. Erosion are applied serveral (iterations) times

Exp()()()
calculates exponent of every element of input array: dst(I)=exp(src(I)) Maximum relative error is ~7e-6. Currently, the function converts denormalized values to zeros on output.

ExtractSURF(MCvSURFParams%)
Finds robust features in the image (basic descriptor is returned in this case). For each feature it returns its location, size, orientation and optionally the descriptor, basic or extended. The function can be used for object tracking and localization, image stitching etc

ExtractSURF(Image<(Of <(Gray, Byte>)>), MCvSURFParams%)
Finds robust features in the image (basic descriptor is returned in this case). For each feature it returns its location, size, orientation and optionally the descriptor, basic or extended. The function can be used for object tracking and localization, image stitching etc

FillConvexPoly(array<Point>[]()[], TColor)
Fill the convex polygon with the specific color

Finalize()()()
Destructor
(Inherited from DisposableObject.)
FindContours()()()
Find a list of contours using simple approximation method.

FindContours(CHAIN_APPROX_METHOD, RETR_TYPE)
Find contours

FindContours(CHAIN_APPROX_METHOD, RETR_TYPE, MemStorage)
Find contours using the specific memory storage

FindCornerSubPix(array<array<PointF>[]()[]>[]()[], Size, Size, MCvTermCriteria)
Iterates to find the sub-pixel accurate location of corners, or radial saddle points

Flip(FLIP)
Return a filpped copy of the current image

GetAverage()()()
Get the average value on this image

GetAverage(Image<(Of <(Gray, Byte>)>))
Get the average value on this image, using the specific mask

GetHashCode()()()
Serves as a hash function for a particular type.
(Inherited from Object.)
GetMoments(Boolean)
Calculates spatial and central moments up to the third order and writes them to moments. The moments may be used then to calculate gravity center of the shape, its area, main axises and various shape characeteristics including 7 Hu invariants.

GetObjectData(SerializationInfo, StreamingContext)
A function used for runtime serilization of the object
(Overrides CvArray<(Of <(TDepth>)>).GetObjectData(SerializationInfo, StreamingContext).)
GetSchema()()()
Get the xml schema
(Inherited from CvArray<(Of <(TDepth>)>).)
GetSubRect(Rectangle)
Get a subimage which image data is shared with the current image.

GetSum()()()
Get the sum for each color channel

GetType()()()
Gets the Type of the current instance.
(Inherited from Object.)
GoodFeaturesToTrack(Int32, Double, Double, Int32)
Finds corners with big eigenvalues in the image.

GoodFeaturesToTrack(Int32, Double, Double, Int32, Double)
Finds corners with big eigenvalues in the image.

GoodFeaturesToTrack(Int32, Double, Double, Int32, Boolean, Double)
Finds corners with big eigenvalues in the image.

Height
Get the height (#Rows) of the cvArray. If ROI is set, the height of the ROI
(Inherited from CvArray<(Of <(TDepth>)>).)
HoughCircles(TColor, TColor, Double, Double, Int32, Int32)
First apply Canny Edge Detector on the current image, then apply Hough transform to find circles

HoughLines(TColor, TColor, Double, Double, Int32, Double, Double)
First apply Canny Edge Detector on the current image, then apply Hough transform to find line segments

HoughLinesBinary(Double, Double, Int32, Double, Double)
Apply Hough transform to find line segments. The current image must be a binary image (eg. the edges as a result of the Canny edge detector)

InPaint(Image<(Of <(Gray, Byte>)>), Double)
Use impaint to recover the intensity of the pixels which location defined by on this image

InRange(TColor, TColor)
Checks that image elements lie between two scalars

Integral(Image<(Of <(TColor, Double>)>)%)
Calculates integral images for the source image

Integral(Image<(Of <(TColor, Double>)>)%, Image<(Of <(TColor, Double>)>)%)
Calculates integral images for the source image

Integral(Image<(Of <(TColor, Double>)>)%, Image<(Of <(TColor, Double>)>)%, Image<(Of <(TColor, Double>)>)%)
calculates one or more integral images for the source image

IsROISet
Indicates if the region of interest has been set

Item[([(Int32])])
Get or Set the specific channel of the current image. For Get operation, a copy of the specific channel is returned. For Set operation, the specific channel is copied to this image.

Item[([(Int32, Int32])])
Get or Set the color in the rowth row (y direction) and columnth column (x direction)

Item[([(Point])])
Get or Set the color in the location

Laplace(Int32)
Calculates Laplacian of the source image by summing second x- and y- derivatives calculated using Sobel operator. Specifying aperture_size=1 gives the fastest variant that is equal to convolving the image with the following kernel: |0 1 0| |1 -4 1| |0 1 0|

Log()()()
Calculates natural logarithm of absolute value of every element of input array

LogPolar(PointF, Double, Int32)
Convert the image to log polar, simulating the human foveal vision

ManagedArray
Get the underneath managed array
(Overrides CvArray<(Of <(TDepth>)>).ManagedArray.)
MatchTemplate(Image<(Of <(TColor, TDepth>)>), TM_TYPE)
The function slids through image, compares overlapped patches of size wxh with templ using the specified method and return the comparison results

Max(Image<(Of <(TColor, TDepth>)>))
Find the elementwise maximum value

Max(Double)
Find the elementwise maximum value

MemberwiseClone()()()
Creates a shallow copy of the current Object.
(Inherited from Object.)
Min(Image<(Of <(TColor, TDepth>)>))
Find the elementwise minimum value

Min(Double)
Find the elementwise minimum value

MinMax(array<Double>[]()[]%, array<Double>[]()[]%, array<Point>[]()[]%, array<Point>[]()[]%)
Returns the min / max location and values for the image

MIplImage
The IplImage structure

MorphologyEx(StructuringElementEx, CV_MORPH_OP, Int32)
Perform advanced morphological transformations using erosion and dilation as basic operations.

Mul(Image<(Of <(TColor, TDepth>)>), Double)
Elementwise multiply another image with the current image and the scale

Mul(Image<(Of <(TColor, TDepth>)>))
Elementwise multiply img2 with the current image

Mul(Double)
Elementwise multiply the current image with scale

Multiply(Image<(Of <(TColor, TDepth>)>), Double)
img1 * scale

Multiply(Double, Image<(Of <(TColor, TDepth>)>))
scale*img1

Multiply(Image<(Of <(TColor, TDepth>)>), ConvolutionKernelF)
Perform the convolution with kernel on img1

Norm
The norm of this Array
(Inherited from CvArray<(Of <(TDepth>)>).)
Not()()()
Compute the complement image

NumberOfChannels
Get the number of channels for this image
(Overrides CvArray<(Of <(TDepth>)>).NumberOfChannels.)
OnesComplement(Image<(Of <(TColor, TDepth>)>))
Compute the complement image

Or(Image<(Of <(TColor, TDepth>)>))
Perform an elementwise OR operation with another image and return the result

Or(Image<(Of <(TColor, TDepth>)>), Image<(Of <(Gray, Byte>)>))
Perform an elementwise OR operation with another image, using a mask, and return the result

Or(TColor)
Perform an elementwise OR operation with some color

Or(TColor, Image<(Of <(Gray, Byte>)>))
Perform an elementwise OR operation with some color using a mask

Pow(Double)
Raises every element of input array to p dst(I)=src(I)^p, if p is integer dst(I)=abs(src(I))^p, otherwise

Ptr
The pointer to the internal structure
(Inherited from CvArray<(Of <(TDepth>)>).)
PyrDown()()()
Performs downsampling step of Gaussian pyramid decomposition. First it convolves this image with the specified filter and then downsamples the image by rejecting even rows and columns.

PyrUp()()()
Performs up-sampling step of Gaussian pyramid decomposition. First it upsamples this image by injecting even zero rows and columns and then convolves result with the specified filter multiplied by 4 for interpolation. So the resulting image is four times larger than the source image.

ReadXml(XmlReader)
Function to call when deserializing this object from XML
(Inherited from CvArray<(Of <(TDepth>)>).)
Reduce<(Of <(TDepth2>)>)(CvArray<(Of <(TDepth2>)>), REDUCE_TYPE)
Reduces matrix to a vector by treating the matrix rows/columns as a set of 1D vectors and performing the specified operation on the vectors until a single row/column is obtained.
(Inherited from CvArray<(Of <(TDepth>)>).)
Resize(Int32, Int32)
Scale the image to the specific size

Resize(Int32, Int32, Boolean)
Scale the image to the specific size

Resize(Double)
Scale the image to the specific size: width *= scale; height *= scale

ROI
Get or Set the region of interest for this image. To clear the ROI, set it to System.Drawing.Rectangle.Empty

RoiParam(IntPtr, Int64%, Int32%, Int32%, Int32%, Int32%)
Return parameters based on ROI

Rotate(Double, TColor)
Rotate the image the specified angle cropping the result to the original size

Rotate(Double, TColor, Boolean)
Rotate this image the specified angle

Rows
The number of rows for this array
(Inherited from CvArray<(Of <(TDepth>)>).)
RunningAvg(Image<(Of <(TColor, TDepth>)>), Double)
Update Running Average. this = (1-alpha)*this + alpha*img

RunningAvg(Image<(Of <(TColor, TDepth>)>), Double, Image<(Of <(Gray, Byte>)>))
Update Running Average. this = (1-alpha)*this + alpha*img, using the mask

Sample(LineSegment2D)
Sample the pixel values on the specific line segment

Sample(LineSegment2D, CONNECTIVITY)
Sample the pixel values on the specific line segment

Save(String)
Save this image to the specific file
(Overrides CvArray<(Of <(TDepth>)>).Save(String).)
SerializationCompressionRatio
Get or set the Compression Ratio for serialization. A number between 0 - 9. 0 means no compression at all, while 9 means best compression
(Inherited from CvArray<(Of <(TDepth>)>).)
SetIdentity(MCvScalar)
Initializs scaled identity matrix
(Inherited from CvArray<(Of <(TDepth>)>).)
SetIdentity()()()
Initialize the identity matrix
(Inherited from CvArray<(Of <(TDepth>)>).)
SetRandNormal(UInt64, MCvScalar, MCvScalar)
Inplace fills Array with normally distributed random numbers
(Inherited from CvArray<(Of <(TDepth>)>).)
SetRandNormal(MCvScalar, MCvScalar)
Inplace fills Array with normally distributed random numbers
(Inherited from CvArray<(Of <(TDepth>)>).)
SetRandUniform(UInt64, MCvScalar, MCvScalar)
Inplace fills Array with uniformly distributed random numbers
(Inherited from CvArray<(Of <(TDepth>)>).)
SetRandUniform(MCvScalar, MCvScalar)
Inplace fills Array with uniformly distributed random numbers
(Inherited from CvArray<(Of <(TDepth>)>).)
SetValue(TColor)
Set every pixel of the image to the specific color

SetValue(TColor, Image<(Of <(Gray, Byte>)>))
Set every pixel of the image to the specific color, using a mask

SetValue(MCvScalar)
Set the element of the Array to val
(Inherited from CvArray<(Of <(TDepth>)>).)
SetValue(Double)
Set the element of the Array to val
(Inherited from CvArray<(Of <(TDepth>)>).)
SetValue(MCvScalar, CvArray<(Of <(Byte>)>))
Set the element of the Array to val, using the specific mask
(Inherited from CvArray<(Of <(TDepth>)>).)
SetValue(Double, CvArray<(Of <(Byte>)>))
Set the element of the Array to val, using the specific mask
(Inherited from CvArray<(Of <(TDepth>)>).)
SetZero()()()
Set the values to zero
(Inherited from CvArray<(Of <(TDepth>)>).)
Size
Get the size of the array
(Inherited from CvArray<(Of <(TDepth>)>).)
SmoothBilatral(Int32, Int32)
Applying bilateral 3x3 filtering

SmoothBlur(Int32, Int32)
Summation over a pixel param1 x param2 neighborhood with subsequent scaling by 1/(param1 x param2)

SmoothBlur(Int32, Int32, Boolean)
Summation over a pixel param1 x param2 neighborhood. If scale is true, the result is subsequent scaled by 1/(param1 x param2)

SmoothGaussian(Int32)
Perform Gaussian Smoothing in the current image and return the result

SmoothGaussian(Int32, Int32, Double, Double)
Perform Gaussian Smoothing in the current image and return the result

SmoothMedian(Int32)
Finding median of sizexsize neighborhood

Snake(Seq<(Of <(Point>)>), Single, Single, Single, Size, MCvTermCriteria, MemStorage)
Updates snake in order to minimize its total energy that is a sum of internal energy that depends on contour shape (the smoother contour is, the smaller internal energy is) and external energy that depends on the energy field and reaches minimum at the local energy extremums that correspond to the image edges in case of image gradient.

Snake(array<Point>[]()[], Single, Single, Single, Size, MCvTermCriteria, Boolean)
Updates snake in order to minimize its total energy that is a sum of internal energy that depends on contour shape (the smoother contour is, the smaller internal energy is) and external energy that depends on the energy field and reaches minimum at the local energy extremums that correspond to the image edges in case of image gradient.

Sobel(Int32, Int32, Int32)
Calculates the image derivative by convolving the image with the appropriate kernel The Sobel operators combine Gaussian smoothing and differentiation so the result is more or less robust to the noise. Most often, the function is called with (xorder=1, yorder=0, aperture_size=3) or (xorder=0, yorder=1, aperture_size=3) to calculate first x- or y- image derivative.

Split()()()
Split current Image into an array of gray scale images where each element in the array represent a single color channel of the original image

Sub(Image<(Of <(TColor, TDepth>)>))
Elementwise subtract another image from the current image

Sub(Image<(Of <(TColor, TDepth>)>), Image<(Of <(Gray, Byte>)>))
Elementwise subtrace another image from the current image, using a mask

Sub(TColor)
Elementwise subtrace a color from the current image

SubR(TColor)
result = val - this

SubR(TColor, Image<(Of <(Gray, Byte>)>))
result = val - this, using a mask

Subtraction(Image<(Of <(TColor, TDepth>)>), Image<(Of <(TColor, TDepth>)>))
Elementwise subtract another image from the current image

Subtraction(Image<(Of <(TColor, TDepth>)>), TColor)
Elementwise subtract another image from the current image

Subtraction(TColor, Image<(Of <(TColor, TDepth>)>))
Elementwise subtract another image from the current image

Subtraction(Double, Image<(Of <(TColor, TDepth>)>))
- img1

Subtraction(Image<(Of <(TColor, TDepth>)>), Double)
Elementwise subtract another image from the current image

ThresholdBinary(TColor, TColor)
Threshold the image such that: dst(x,y) = max_value, if src(x,y)>threshold; 0, otherwise

ThresholdBinaryInv(TColor, TColor)
Threshold the image such that: dst(x,y) = 0, if src(x,y)>threshold; max_value, otherwise

ThresholdToZero(TColor)
Threshold the image such that: dst(x,y) = src(x,y), if src(x,y)>threshold; 0, otherwise

ThresholdToZeroInv(TColor)
Threshold the image such that: dst(x,y) = 0, if src(x,y)>threshold; src(x,y), otherwise

ThresholdTrunc(TColor)
Threshold the image such that: dst(x,y) = threshold, if src(x,y)>threshold; src(x,y), otherwise

ToBitmap()()()
Convert this image into Bitmap, the pixel values are copied over to the Bitmap

ToBitmap(Int32, Int32)
Create a Bitmap image of certain size

ToString()()()
Returns a String that represents the current Object.
(Inherited from Object.)
Trace
Sum of diagonal elements of the matrix
(Inherited from CvArray<(Of <(TDepth>)>).)
WarpAffine(Matrix<(Of <(Single>)>), INTER, WARP, TColor)
Transforms source image using the specified matrix

WarpAffine(Matrix<(Of <(Double>)>), INTER, WARP, TColor)
Transforms source image using the specified matrix

WarpAffine(Matrix<(Of <(Single>)>), Int32, Int32, INTER, WARP, TColor)
Transforms source image using the specified matrix

WarpAffine(Matrix<(Of <(Double>)>), Int32, Int32, INTER, WARP, TColor)
Transforms source image using the specified matrix

WarpPerspective(Matrix<(Of <(Single>)>), INTER, WARP, TColor)
Transforms source image using the specified matrix

WarpPerspective(Matrix<(Of <(Single>)>), Int32, Int32, INTER, WARP, TColor)
Transforms source image using the specified matrix

Width
Get the width (#Cols) of the cvArray. If ROI is set, the width of the ROI
(Inherited from CvArray<(Of <(TDepth>)>).)
WriteXml(XmlWriter)
Function to call when serializing this object to XML
(Inherited from CvArray<(Of <(TDepth>)>).)
Xor(Image<(Of <(TColor, TDepth>)>))
Perform an elementwise XOR operation with another image and return the result

Xor(Image<(Of <(TColor, TDepth>)>), Image<(Of <(Gray, Byte>)>))
Perform an elementwise XOR operation with another image, using a mask, and return the result

Xor(TColor)
Perform an binary XOR operation with some color

Xor(TColor, Image<(Of <(Gray, Byte>)>))
Perform an binary XOR operation with some color using a mask

Inheritance Hierarchy
Object
DisposableObject
 UnmanagedObject
  CvArray<(Of <(TDepth>)>)
   Image<(Of <(TColor, TDepth>)>)
    Map<(Of <(TColor, TDepth>)>)
    TimedImage<(Of <(TColor, TDepth>)>)

Assembly: Emgu.CV (Module: Emgu.CV) Version: 1.5.0.0 (1.5.0.0)