C# Class OpenCvSharp.Cv2

Detects corners using the AGAST algorithm

Computes absolute value of each matrix element

Computes absolute value of each matrix element

computes element-wise absolute difference of two arrays (dst = abs(src1 - src2))

Adds an image to the accumulator.

Adds the per-element product of two input images to the accumulator.

Adds the square of a source image to the accumulator.

Updates a running average.

Applies an adaptive threshold to an array.

Computes the per-element sum of two arrays or an array and a scalar.

computes weighted sum of two arrays (dst = alpha*src1 + beta*src2 + gamma)

Aligns buffer size by the certain number of bytes This small inline function aligns a buffer size by the certian number of bytes by enlarging it.

Applies a GNU Octave/MATLAB equivalent colormap on a given image.

Approximates contour or a curve using Douglas-Peucker algorithm

Approximates contour or a curve using Douglas-Peucker algorithm

Approximates contour or a curve using Douglas-Peucker algorithm

Calculates a contour perimeter or a curve length.

Calculates a contour perimeter or a curve length.

Calculates a contour perimeter or a curve length.

Draws a arrow segment pointing from the first point to the second one. The function arrowedLine draws an arrow between pt1 and pt2 points in the image. See also cv::line.

naive nearest neighbor finder

Applies bilateral filter to the image

computes bitwise conjunction of the two arrays (dst = src1 & src2)

inverts each bit of array (dst = ~src)

computes bitwise disjunction of the two arrays (dst = src1 | src2)

computes bitwise exclusive-or of the two arrays (dst = src1 ^ src2)

Smoothes image using normalized box filter

Calculates the up-right bounding rectangle of a point set.

Calculates the up-right bounding rectangle of a point set.

Calculates the up-right bounding rectangle of a point set.

Smoothes image using box filter

Constructs a pyramid which can be used as input for calcOpticalFlowPyrLK

Constructs a pyramid which can be used as input for calcOpticalFlowPyrLK

computes the joint dense histogram for a set of images.

computes covariation matrix of a set of samples

computes covariation matrix of a set of samples

computes covariation matrix of a set of samples

computes covariation matrix of a set of samples

Computes the global orientation of the selected motion history image part

computes the joint dense histogram for a set of images.

computes the joint dense histogram for a set of images.

Computes the motion gradient orientation image from the motion history image

Computes a dense optical flow using the Gunnar Farneback's algorithm.

computes sparse optical flow using multi-scale Lucas-Kanade algorithm

computes sparse optical flow using multi-scale Lucas-Kanade algorithm

computes dense optical flow using Simple Flow algorithm

finds intrinsic and extrinsic camera parameters from several fews of a known calibration pattern.

finds intrinsic and extrinsic camera parameters from several fews of a known calibration pattern.

computes several useful camera characteristics from the camera matrix, camera frame resolution and the physical sensor size.

computes several useful camera characteristics from the camera matrix, camera frame resolution and the physical sensor size.

Finds an object center, size, and orientation.

Finds edges in an image using Canny algorithm.

converts Cartesian coordinates to polar

checks that each matrix element is within the specified range.

checks that each matrix element is within the specified range.

Draws a circle

Draws a circle

Clips the line against the image rectangle

Clips the line against the image rectangle

Given an original color image, two differently colored versions of this image can be mixed seamlessly. Multiplication factor is between 0.5 to 2.5.

Performs the per-element comparison of two arrays or an array and scalar value.

compares two histograms stored in dense arrays

extends the symmetrical matrix from the lower half or from the upper half

composes 2 [R|t] transformations together. Also computes the derivatives of the result w.r.t the arguments

composes 2 [R|t] transformations together. Also computes the derivatives of the result w.r.t the arguments

composes 2 [R|t] transformations together. Also computes the derivatives of the result w.r.t the arguments

For points in an image of a stereo pair, computes the corresponding epilines in the other image.

For points in an image of a stereo pair, computes the corresponding epilines in the other image.

For points in an image of a stereo pair, computes the corresponding epilines in the other image.

computes the connected components labeled image of boolean image. image with 4 or 8 way connectivity - returns N, the total number of labels [0, N-1] where 0 represents the background label. ltype specifies the output label image type, an important consideration based on the total number of labels or alternatively the total number of pixels in the source image.

computes the connected components labeled image of boolean image. image with 4 or 8 way connectivity - returns N, the total number of labels [0, N-1] where 0 represents the background label. ltype specifies the output label image type, an important consideration based on the total number of labels or alternatively the total number of pixels in the source image.

computes the connected components labeled image of boolean image. image with 4 or 8 way connectivity - returns N, the total number of labels [0, N-1] where 0 represents the background label. ltype specifies the output label image type, an important consideration based on the total number of labels or alternatively the total number of pixels in the source image.

computes the connected components labeled image of boolean image. image with 4 or 8 way connectivity - returns N, the total number of labels [0, N-1] where 0 represents the background label. ltype specifies the output label image type, an important consideration based on the total number of labels or alternatively the total number of pixels in the source image.

computes the connected components labeled image of boolean image. image with 4 or 8 way connectivity - returns N, the total number of labels [0, N-1] where 0 represents the background label. ltype specifies the output label image type, an important consideration based on the total number of labels or alternatively the total number of pixels in the source image.

computes the connected components labeled image of boolean image. image with 4 or 8 way connectivity - returns N, the total number of labels [0, N-1] where 0 represents the background label. ltype specifies the output label image type, an important consideration based on the total number of labels or alternatively the total number of pixels in the source image.

Calculates the contour area

Calculates the contour area

Calculates the contour area

utility function: convert one image to another with optional vertical flip

converts point coordinates from homogeneous to normal pixel coordinates ((x,y,z)->(x/z, y/z))

converts point coordinates from homogeneous to normal pixel coordinates ((x,y,z)->(x/z, y/z))

converts point coordinates from homogeneous to normal pixel coordinates ((x,y,z)->(x/z, y/z))

Converts points to/from homogeneous coordinates.

converts point coordinates from normal pixel coordinates to homogeneous coordinates ((x,y)->(x,y,1))

converts point coordinates from normal pixel coordinates to homogeneous coordinates ((x,y)->(x,y,1))

converts point coordinates from normal pixel coordinates to homogeneous coordinates ((x,y)->(x,y,1))

Scales, computes absolute values and converts the result to 8-bit.

Computes convex hull for a set of 2D points.

Computes convex hull for a set of 2D points.

Computes convex hull for a set of 2D points.

Computes convex hull for a set of 2D points.

Computes convex hull for a set of 2D points.

Computes the contour convexity defects

Computes the contour convexity defects

Computes the contour convexity defects

Forms a border around the image

computes both eigenvalues and the eigenvectors of 2x2 derivative covariation matrix at each pixel. The output is stored as 6-channel matrix.

adjusts the corner locations with sub-pixel accuracy to maximize the certain cornerness criteria

Refines coordinates of corresponding points.

Refines coordinates of corresponding points.

computes the number of nonzero array elements

Creates a predefined CLAHE object

Computes a Hanning window coefficients in two dimensions.

Implementation of the Zach, Pock and Bischof Dual TV-L1 Optical Flow method

computes cube root of the argument

Converts image from one color space to another

Performs forward or inverse 1D or 2D Discrete Cosine Transformation

Transforms a color image to a grayscale image. It is a basic tool in digital printing, stylized black-and-white photograph rendering, and in many single channel image processing applications @cite CL12 .

Decomposes the projection matrix into camera matrix and the rotation martix and the translation vector

Decomposes the projection matrix into camera matrix and the rotation martix and the translation vector

Decomposes the projection matrix into camera matrix and the rotation martix and the translation vector

Primal-dual algorithm is an algorithm for solving special types of variational problems (that is, finding a function to minimize some functional). As the image denoising, in particular, may be seen as the variational problem, primal-dual algorithm then can be used to perform denoising and this is exactly what is implemented.

This filter enhances the details of a particular image.

computes determinant of a square matrix

Performs a forward Discrete Fourier transform of 1D or 2D floating-point array.

Dilates an image by using a specific structuring element.

computes the distance transform map

builds the discrete Voronoi diagram

Performs per-element division of two arrays or a scalar by an array.

Performs per-element division of two arrays or a scalar by an array.

Renders the detected chessboard corners.

Renders the detected chessboard corners.

draws contours in the image

draws contours in the image

Draw keypoints.

Draws matches of keypints from two images on output image.

Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing filters are used in many different applications @cite EM11 .

Computes eigenvalues and eigenvectors of a symmetric matrix.

Draws simple or thick elliptic arc or fills ellipse sector

Draws simple or thick elliptic arc or fills ellipse sector

Approximates an elliptic arc with a polyline. The function ellipse2Poly computes the vertices of a polyline that approximates the specified elliptic arc. It is used by cv::ellipse.

normalizes the grayscale image brightness and contrast by normalizing its histogram

Erodes an image by using a specific structuring element.

Computes an optimal affine transformation between two 3D point sets.

Estimates the best-fit Euqcidean, similarity, affine or perspective transformation that maps one 2D point set to another or one image to another.

computes exponent of each matrix element (dst = e**src)

extracts a single channel from src (coi is 0-based index)

Detects corners using the FAST algorithm

Detects corners using the FAST algorithm

computes the angle in degrees (0..360) of the vector (x,y)

Perform image denoising using Non-local Means Denoising algorithm with several computational optimizations. Noise expected to be a gaussian white noise

Modification of fastNlMeansDenoising function for colored images

Modification of fastNlMeansDenoisingMulti function for colored images sequences

Modification of fastNlMeansDenoisingMulti function for colored images sequences

Modification of fastNlMeansDenoising function for images sequence where consequtive images have been captured in small period of time. For example video. This version of the function is for grayscale images or for manual manipulation with colorspaces.

Modification of fastNlMeansDenoising function for images sequence where consequtive images have been captured in small period of time. For example video. This version of the function is for grayscale images or for manual manipulation with colorspaces.

Fills a convex polygon.

Fills a convex polygon.

Fills the area bounded by one or more polygons

Fills the area bounded by one or more polygons

Convolves an image with the kernel

filters off speckles (small regions of incorrectly computed disparity)

finds subpixel-accurate positions of the chessboard corners

finds subpixel-accurate positions of the chessboard corners

Finds the positions of internal corners of the chessboard.

Finds the positions of internal corners of the chessboard.

Finds centers in the grid of circles.

Finds centers in the grid of circles.

Finds contours in a binary image.

Finds contours in a binary image.

Finds contours in a binary image.

Finds contours in a binary image.

Calculates a fundamental matrix from the corresponding points in two images.

Calculates a fundamental matrix from the corresponding points in two images.

computes the best-fit perspective transformation mapping srcPoints to dstPoints.

computes the best-fit perspective transformation mapping srcPoints to dstPoints.

returns the list of locations of non-zero pixels

Fits ellipse to the set of 2D points.

Fits ellipse to the set of 2D points.

Fits ellipse to the set of 2D points.

Fits line to the set of 2D points using M-estimator algorithm

Fits line to the set of 2D points using M-estimator algorithm

Fits line to the set of 3D points using M-estimator algorithm

Fits line to the set of 3D points using M-estimator algorithm

Fits line to the set of 2D points using M-estimator algorithm

reverses the order of the rows, columns or both in a matrix

Fills a connected component with the given color.

Fills a connected component with the given color.

Fills a connected component with the given color.

Fills a connected component with the given color.

Blurs an image using a Gaussian filter.

implements generalized matrix product algorithm GEMM from BLAS

returns the default new camera matrix (by default it is the same as cameraMatrix unless centerPricipalPoint=true)

Returns filter coefficients for computing spatial image derivatives.

Returns Gaussian filter coefficients.

computes the minimal vector size vecsize1 >= vecsize so that the dft() of the vector of length vecsize1 can be computed efficiently

Returns the new camera matrix based on the free scaling parameter.

Returns the new camera matrix based on the free scaling parameter.

Retrieves a pixel rectangle from an image with sub-pixel accuracy.

returns bounding box of the text string

computes valid disparity ROI from the valid ROIs of the rectified images (that are returned by cv::stereoRectify())

Provides parameters of a window.

finds the strong enough corners where the cornerMinEigenVal() or cornerHarris() report the local maxima

Segments the image using GrabCut algorithm

Finds circles in a grayscale image using a Hough transform.

Finds lines in a binary image using standard Hough transform.

Finds lines segments in a binary image using probabilistic Hough transform.

Performs inverse 1D or 2D Discrete Cosine Transformation

Performs an inverse Discrete Fourier transform of 1D or 2D floating-point array.

Applying an appropriate non-linear transformation to the gradient field inside the selection and then integrating back with a Poisson solver, modifies locally the apparent illumination of an image.

This is useful to highlight under-exposed foreground objects or to reduce specular reflections.

Reads image from the specified buffer in memory.

Reads image from the specified buffer in memory.

Reads image from the specified buffer in memory.

Compresses the image and stores it in the memory buffer

Compresses the image and stores it in the memory buffer

Loads an image from a file.

Loads a multi-page image from a file.

Displays the image in the specified window

Saves an image to a specified file.

Saves an image to a specified file.

set mask elements for those array elements which are within the element-specific bounding box (dst = lowerb <= src && src < upperb)

set mask elements for those array elements which are within the element-specific bounding box (dst = lowerb <= src && src < upperb)

initializes camera matrix from a few 3D points and the corresponding projections.

initializes camera matrix from a few 3D points and the corresponding projections.

initializes maps for cv::remap() to correct lens distortion and optionally rectify the image

initializes maps for cv::remap() for wide-angle

restores the damaged image areas using one of the available intpainting algorithms

inserts a single channel to dst (coi is 0-based index)

finds intersection of two convex polygons

finds intersection of two convex polygons

finds intersection of two convex polygons

computes inverse or pseudo-inverse matrix

Inverts an affine transformation.

returns true if the contour is convex. D oes not support contours with self-intersection

returns true if the contour is convex. Does not support contours with self-intersection

returns true if the contour is convex. Does not support contours with self-intersection

clusters the input data using k-Means algorithm

transforms array of numbers using a lookup table: dst(i)=lut(src(i))

transforms array of numbers using a lookup table: dst(i)=lut(src(i))

Calculates the Laplacian of an image

Draws a line segment connecting two points

Draws a line segment connecting two points

Remaps an image to polar space.

computes natural logarithm of absolute value of each matrix element: dst = log(abs(src))

Remaps an image to log-polar space.

computes magnitude (magnitude(i)) of each (x(i), y(i)) vector

computes Mahalanobis distance between two vectors: sqrt((v1-v2)'*icovar*(v1-v2)), where icovar is the inverse covariation matrix

computes derivatives of the matrix product w.r.t each of the multiplied matrix coefficients

matches two contours using one of the available algorithms

matches two contours using one of the available algorithms

Computes the proximity map for the raster template and the image where the template is searched for

computes per-element maximum of two arrays (dst = max(src1, src2))

computes per-element maximum of two arrays (dst = max(src1, src2))

computes per-element maximum of array and scalar (dst = max(src1, src2))

computes mean value of selected array elements

Finds an object on a back projection image.

computes mean value and standard deviation of all or selected array elements

computes mean value and standard deviation of all or selected array elements

Smoothes image using median filter

makes multi-channel array out of several single-channel arrays

computes per-element minimum of two arrays (dst = min(src1, src2))

computes per-element minimum of two arrays (dst = min(src1, src2))

computes per-element minimum of array and scalar (dst = min(src1, src2))

Finds the minimum area rotated rectangle enclosing a 2D point set.

Finds the minimum area rotated rectangle enclosing a 2D point set.

Finds the minimum area rotated rectangle enclosing a 2D point set.

Finds the minimum area circle enclosing a 2D point set.

Finds the minimum area circle enclosing a 2D point set.

Finds the minimum area circle enclosing a 2D point set.

finds global minimum and maximum array elements and returns their values and their locations

finds global minimum and maximum array elements and returns their values and their locations

finds global minimum and maximum array elements and returns their values and their locations

finds global minimum and maximum array elements and returns their values and their locations

finds global minimum and maximum array elements and returns their values and their locations

finds global minimum and maximum array elements and returns their values and their locations

copies selected channels from the input arrays to the selected channels of the output arrays

Calculates all of the moments up to the third order of a polygon or rasterized shape.

Calculates all of the moments up to the third order of a polygon or rasterized shape.

Calculates all of the moments up to the third order of a polygon or rasterized shape.

Calculates all of the moments up to the third order of a polygon or rasterized shape.

Calculates all of the moments up to the third order of a polygon or rasterized shape.

Default borderValue for Dilate/Erode

Performs advanced morphological transformations

Moves window to the specified position

computes element-wise product of the two Fourier spectrums. The second spectrum can optionally be conjugated before the multiplication

multiplies matrix by its transposition from the left or from the right

Calculates the per-element scaled product of two arrays

Creates a window.

Creates a window.

computes norm of selected part of the difference between two arrays

Calculates absolute array norm, absolute difference norm, or relative difference norm.

scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values

PCA of the supplied dataset.

converts NaN's to the given number

Pencil-like non-photorealistic line drawing

performs perspective transformation of each element of multi-channel input matrix

performs perspective transformation of each element of multi-channel input matrix

performs perspective transformation of each element of multi-channel input matrix

performs perspective transformation of each element of multi-channel input matrix

performs perspective transformation of each element of multi-channel input matrix

computes angle (angle(i)) of each (x(i), y(i)) vector

Checks if the point is inside the contour. Optionally computes the signed distance from the point to the contour boundary.

Checks if the point is inside the contour. Optionally computes the signed distance from the point to the contour boundary

Checks if the point is inside the contour. Optionally computes the signed distance from the point to the contour boundary

converts polar coordinates to Cartesian

draws one or more polygonal curves

draws one or more polygonal curves

raises the input matrix elements to the specified power (b = a**power)

computes another complex cornerness criteria at each pixel

projects points from the model coordinate space to the image coordinates. Also computes derivatives of the image coordinates w.r.t the intrinsic and extrinsic camera parameters

projects points from the model coordinate space to the image coordinates. Also computes derivatives of the image coordinates w.r.t the intrinsic and extrinsic camera parameters

renders text string in the image

Blurs an image and downsamples it.

Performs initial step of meanshift segmentation of an image.

Upsamples an image and then blurs it.

Computes RQ decomposition of 3x3 matrix

Computes RQ decomposition of 3x3 matrix

Computes RQ decomposition of 3x3 matrix

shuffles the input array elements

fills array with normally-distributed random numbers with the specified mean and the standard deviation

fills array with normally-distributed random numbers with the specified mean and the standard deviation

fills array with uniformly-distributed random numbers from the range [low, high)

fills array with uniformly-distributed random numbers from the range [low, high)

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle