ConvolutionKernelF Class

Create a convolution kernel using the specific floating point matrix

Create a convolution kernel with the specific number of rows and cols

Create a convolution kernel using the specific floating point matrix and center

Create a convolution kernel using the specific matrix and center

Get or Set an Array of bytes that represent the data in this array

The center of the convolution kernel

The number of cols for this array

Get or Set the data for this matrix

Returns determinant of the square matrix

Get the height (Rows) of the cvArray. If ROI is set, the height of the ROI

Get or Set the value in the specific row and col

Get the underneath managed array

Get the Mat header that represent this CvArr

The MCvMat structure format

The norm of this Array

Get the number of channels for this matrix

The pointer to the internal structure

The number of rows for this array

Get or set the Compression Ratio for serialization. A number between 0 - 9. 0 means no compression at all, while 9 means best compression

Get the size of the array

Return the sum of the elements in this matrix

Sum of diagonal elements of the matrix

Get the width (Cols) of the cvArray. If ROI is set, the width of the ROI

Inplace And operation with otherArray

Inplace compute the elementwise maximum value with value

Inplace elementwise maximize the current Array with other

Inplace compute the elementwise minimum value

Inplace elementwise minimize the current Array with other

Inplace multiply elements of the Array by scale

Inplace elementwise multiply the current Array with src2

Inplace compute the complement for all array elements

Inplace Or operation with otherArray

Elementwise add a color val to the current matrix

Elementwise add another matrix with the current matrix

Allocate data for the array

Check that every array element is neither NaN nor +- inf. The functions also check that each value is between min and max. in the case of multi-channel arrays each channel is processed independently. If some values are out of range, position of the first outlier is stored in pos, and then the functions return false.

Make a copy of this matrix

This function compare the current matrix with mat2 and returns the comparison mask

Concate the current matrix with another matrix horizontally. If this matrix is n x m1 and otherMatrix is n x m2, the resulting matrix is n x (m1 + m2).

Concate the current matrix with another matrix vertically. If this matrix is n1 x m and otherMatrix is n2 x m, the resulting matrix is (n1+n2) x m.

Convert this matrix to different depth

Return a matrix of the same size with all elements equals 0

Copy the current array to destination

A function used for runtime deserailization of the object

The dispose function that implements IDisposable interface

Release the matrix and all the memory associate with it

Calculates and returns the Euclidean dot product of two arrays. src1 dot src2 = sumI(src1(I)*src2(I))

Return true if every element of this matrix equals elements in mat2

Destructor

Get a flipped copy of the convolution kernel

Get the specific column of the matrix

Get the Matrix, corresponding to a specified column span of the input array

Return the main diagonal element of this matrix

Return the specific diagonal elements of this matrix

The unmanaged pointer to the input array.

The unmanaged pointer to the input output array.

A function used for runtime serialization of the object

The unmanaged pointer to the output array.

Get the specific row of the matrix

Return the matrix corresponding to a specified row span of the input array

Get the xml schema

Get a submatrix corresponding to a specified rectangle

Returns the min / max locations and values for the matrix

Multiply the current matrix with scale

Multiply the current matrix with mat2

Function to call when deserializing this object from XML

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.

Release the managed resources. This function will be called during the disposal of the current object. override ride this function if you need to call the Dispose() function on any managed IDisposable object created by the current object

Return the matrix without a specified column span of the input array

Return the matrix without a specified row span of the input array

Get reshaped matrix which also share the same data with the current matrix

Save the CvArray as image

Initialize the identity matrix

Initializes scaled identity matrix

Inplace fills Array with normally distributed random numbers

Inplace fills Array with uniformly distributed random numbers

Set the element of the Array to value, using the specific mask

Set the element of the Array to value, using the specific mask

Set the values to zero

Get all channels for the multi channel matrix

Elementwise subtract a color val to the current matrix

Elementwise subtract another matrix from the current matrix

result = val - this

Get the umat representation of this mat

Obtain the transpose of the convolution kernel

Function to call when serializing this object to XML

The center of the convolution kernel

The Mat header that represent this CvArr

The pinned GCHandle to _array;

A pointer to the unmanaged object