Create an empty Image

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

Read image from a file

Obtain the image from the specific Bitmap

Create a blank Image of the specified width, height and color.

Create a blank Image of the specified width and height.

Create a multi-channel image from multiple gray scale images

Constructor used to deserialize runtime serialized object

Inplace And operation with src2

The pinned GCHandle to _array;

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

The algorithm normalizes brightness and increases contrast of the image

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

Inplace flip the image

Perform Gaussian Smoothing inplace for the current image

Perform Gaussian Smoothing inplace for the current image

Inplace compute the elementwise maximum value with val

Inplace elementwise maximize the current Array with src2

Inplace compute the elementwise minimum value

Inplace elementwise minimize the current Array with src2

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

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 src2

A pointer to the unmanaged object

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

Computes absolute different between this image and the other image

Accumulate img2 to the current image using the specific mask

Accumulate img2 to the current image using the specific mask

perform an generic action based on each element of the Image

perform an generic operation based on the elements of the two images

Elementwise add another image with the current image

Elementwise add img2 with the current image, using a mask

Elementwise add a color val to the current image

Elementwise add img1 with img2

Elementwise add img1 with val

Elementwise add img1 with val

Elementwise add img1 with val

Elementwise add img1 with val

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

Allocate data for the array

Perform an elementwise AND operation with another image and return the result

Perform an elementwise AND operation with another image, using a mask, and return the result

Perform an binary AND operation with some color

Perform an binary AND operation with some color using a mask

Get the average value on this image

Calculates the average value and standard deviation of array elements, independently for each channel

Calculates the average value and standard deviation of array elements, independently for each channel

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.

Perform an elementwise AND operation on the two images

Perform an elementwise AND operation using an images and a color

Perform an elementwise AND operation using an images and a color

Perform an elementwise AND operation using an images and a color

Perform an elementwise AND operation using an images and a color

Perform an elementwise OR operation with another image and return the result

Perform an binary OR operation with some color

Perform an binary OR operation with some color

Perform an binary OR operation with some color

Perform an binary OR operation with some color

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

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

This function compare the current image with img2 and returns the comparison mask

This function compare the current image with value and returns the comparison mask

The number of cols for this array

Convert the current image to the specific color and depth

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

Compute the element of the new image based on element of this image

Compute the element of the new image based on the elements of the two image

Compute the element of the new image based on the elements of the three image

Compute the element of the new image based on the elements of the four image

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 provided kernel

Make a copy of the image using a mask, if ROI is set, only copy the ROI

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

Copy the masked area of this image to destination

Copy the current array to dest

Create an image of the same size

Count the non Zero elements for each channel

The equivalent depth type in opencv for this image

Get or Set the data for this matrix

performs forward or inverse transform of 2D floating-point image

A function used for runtime deserailization of the object

Detect HaarCascade object in the current image, using predifined parameters

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).

performs forward or inverse transform of 1D or 2D floating-point array

performs forward or inverse transform of 2D floating-point image

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

The dispose function that implements IDisposable interface

Release the all the memory associate with this object

Release all unmanaged memory associate with the image

img1 / scale

scale / img1

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

Draw a box of the specific color and thickness

Draw an Rectangle of the specific color and thickness

Draw a 2D Cross of the specific color and thickness

Draw a line segment of the specific color and thickness

Draw a convex polygon of the specific color and thickness

Draw a Circle of the specific color and thickness

Draw a Ellipse of the specific color and thickness

Draw the text using the specific font on the image

Draws contour outlines in the image if thickness>=0 or fills area bounded by the contours if thickness<0

Draws contour outlines in the image if thickness>=0 or fills area bounded by the contours if thickness<0

Draws contour outlines in the image if thickness>=0 or fills area bounded by the contours if thickness<0

Draw the polyline defined by the array of 2D points

Draw the polyline defined by the array of 2D points

Draw the polylines defined by the array of array of 2D points

Compare two images, returns true if the each of the pixels are equal, false otherwise

Determines whether the specified Object is equal to the current Object.

Determine if the size (width and height) of this Array equals the size of src2

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)) Maximum relative error is ~7e-6. Currently, the function converts denormalized values to zeros on output.

Fill the convex polygon with the specific color

Destructor

Find a list of contours using simple approximation method.

Find contours

Find contours using the specific memory storage

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

Return a filpped copy of the current image

Perform Gaussian Smoothing in the current image and return the result

Perform Gaussian Smoothing in the current image and return the result

Get the average value on this image

Get the average value on this image, using the specific mask

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

The sum for each color channel

Gets the Type of the current instance.

Finds corners with big eigenvalues in the image.

Finds corners with big eigenvalues in the image.

Finds corners with big eigenvalues in the image.

The height of the image ( number of pixels in the y direction ), if ROI is set, the height of the ROI

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

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

Apply Hugh 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

Checks that image elements lie between two scalars

Indicates if the region of interest has been set

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.

Get or Set the color in the rowth row (y direction) and columnth column (x direction)

Get or Set the color in the location

Calculates Laplacian of the source image by summing second x- and y- derivatives calculated using Sobel operator: dst(x,y) = d2src/dx2 + d2src/dy2 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

Get the underneath managed array

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

Find the elementwise maximum value

Find the elementwise maximum value

Creates a shallow copy of the current Object.

Find the elementwise minimum value

Find the elementwise minimum value

Returns the min / max location and values for the image

The IplImage structure

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

Elementwise multiply another image with the current image and the scale

Elementwise multiply img2 with the current image

Elementwise multiply the current image with scale

img1 * scale

scale*img1

Perform the convolution with kernel on img1

The norm of this Array

Compute the complement image

Compute the complement image

Perform an elementwise OR operation with another image and return the result

Perform an elementwise OR operation with another image, using a mask, and return the result

Perform an elementwise OR operation with some color

Perform an elementwise OR operation with some color using a mask

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

The pointer to the internal structure

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.

Scale the image to the specific size

Scale the image to the specific size

Scale the image to the specific size: width *= scale; height *= scale

The region of interest for this image

Return parameters based on ROI

Rotate the image the specified angle cropping the result to the original size

Rotate this image the specified angle

The number of rows for this array

Update Running Average. this = (1-alpha)*this + alpha*img

Update Running Average. this = (1-alpha)*this + alpha*img, using the mask

Sample the pixel values on the specific line segment

Save this image to the specific file

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

Initializs scaled identity matrix

Initialize the identity matrix

Inplace fills Array with normally distributed random numbers

Inplace fills Array with normally distributed random numbers

Inplace fills Array with uniformly distributed random numbers

Inplace fills Array with uniformly distributed random numbers

Set every pixel of the image to the specific color

Set every pixel of the image to the specific color, using a mask

Set the element of the Array to val

Set the element of the Array to val

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

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

The size of the internal iplImage structure, regardness of the ROI of this image: X -- Width; Y -- Height. When a new size is assigned to this property, the original image is resized (the ROI is resized as well when available)

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.

Calculates the image derivative by convolving the image with the appropriate kernel: dst(x,y) = dxorder+yodersrc/dxxorder?dyyorder |(x,y) 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

Elementwise subtract another image from the current image

Elementwise subtrace another image from the current image, using a mask

Elementwise subtrace a color from the current image

result = val - this

result = val - this, using a mask

Elementwise subtract another image from the current image

Elementwise subtract another image from the current image

Elementwise subtract another image from the current image

- img1

Elementwise subtract another image from the current image

Get the sum for each color channel

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

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

Create a Bitmap image of certain size

Returns a String that represents the current Object.

sum of diagonal elements of the matrix

The width of the image ( number of pixels in the x direction), if ROI is set, the width of the ROI

Transforms source image using the specified matrix

Function to call when serializing this object to XML

Perform an elementwise XOR operation with another image and return the result

Perform an elementwise XOR operation with another image, using a mask, and return the result

Perform an binary XOR operation with some color

Perform an binary XOR operation with some color using a mask