Inplace And operation with src2

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

The algorithm inplace normalizes brightness and increases contrast of the image. For color images, a HSV representation of the image is first obtained and the V (value) channel is histogram normalized

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

Inplace flip the image

Gamma correct this image inplace. The image must have a depth type of Byte.

Perform inplace advanced morphological transformations using erosion and dilation as basic operations.

Inplace compute the complement for all array elements

Inplace Or operation with src2

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

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

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

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

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

Return the weighted sum such that: res = this * alpha + img2 * beta + gamma

Allocate data for the array

Compute the image pyramid

Find the edges on this image and marked them in the returned image.

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

Concate the current image with another image horizontally.

Concate the current image with another image vertically.

Convert the source image to the current image, if the size are different, the current image will be a resized version of the srcImage.

Convert the current image to the specific depth, at the same time scale and shift the values of the pixel

Performs a convolution using the specific kernel

Create an image of the same size

Copy the current array to dest

Count the non Zero elements for each channel

A function used for runtime deserailization of the object

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

The dispose function that implements IDisposable interface

Release all unmanaged memory associate with the image

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

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

Calculates exponent of every element of input array: dst(I)=exp(src(I))

Extracts the contours of Maximally Stable Extremal Regions

Fill the convex polygon with the specific color

Destructor

Iterates to find the sub-pixel accurate location of corners, or radial saddle points

Return a filpped copy of the current image

Get the FAST keypoints from this image

Serves as a hash function for a particular type.

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.

A function used for runtime serilization of the object

Get the xml schema

Get the star keypoints from this image

Get a subimage which image data is shared with the current image.

Get the sum for each color channel

Gets the Type of the current instance.

First apply Canny Edge Detector on the current image, then apply Hough transform to find circles

First apply Canny Edge Detector on the current image, then apply Hough transform to find line segments

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)

Use impaint to recover the intensity of the pixels which location defined by on this image

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|

Calculates natural logarithm of absolute value of every element of input array

Convert the image to log polar, simulating the human foveal vision

The function slids through image, compares overlapped patches of size wxh with templ using the specified method and return the comparison results

Creates a shallow copy of the current Object.

Returns the min / max location and values for the image

Perform advanced morphological transformations using erosion and dilation as basic operations.

Compute the complement image

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

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.

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.

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 resouces. 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

Save this image to the specific file

Set the values to zero

Applying bilateral 3x3 filtering

Finding median of sizexsize neighborhood

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

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

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

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

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

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

Returns a String that represents the current Object.

Function to call when serializing this object to XML

The pinned GCHandle to _array;

A pointer to the unmanaged object

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.

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

The number of cols for this array

Get or Set the data for this matrix

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

Indicates if the region of interest has been set

Get the underneath managed array

The IplImage structure

The norm of this Array

Get the number of channels for this image

The pointer to the internal structure

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

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

The time this image is captured

Sum of diagonal elements of the matrix

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