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Reference guides are available for functions and commands supported by OML, Tcl, and Python.
Reference Guide for OpenMatrix Language Functions
The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
Computer Vision Commands
getgaussiankernelcv
Gets Gaussian kernel coefficiants.

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Reference guides are available for functions and commands supported by OML, Tcl, and Python.
- Scripting Guide for OpenMatrix Language
  OpenMatrix is a mathematical scripting language.
- Reference Guide for OpenMatrix Language Functions
  The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
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    - adaptivethresholdcv
      Applies adaptive threshold to the image, handle.
    - addcv
      Adds inputs source1 and source2.
    - addweightedcv
      Adds weighted inputs.
    - applycolormapcv
      Converts an image to the specified color map.
    - backgroundsubtractorcv
      Applies a background subtractor and computes a foreground mask for image handle.
    - bilateralfiltercv
      Apply a bilateral filter on the image handle.
    - bitwiseandcv
      Performs bitwise union on given inputs, source1 and source2.
    - bitwisenotcv
      Inverts bits of given image, source.
    - bitwiseorcv
      Performs bitwise or/disunion on given inputs, source1 and source2.
    - bitwisexorcv
      Performs bitwise exclusive or on given inputs source1 and source2.
    - blurcv
      Uses normalized box filter to blur an image.
    - cannycv
      Detects edges of an image handle with the Canny algorithm.
    - circlecv
      Draws a circle on the image.
    - clearcv
      Clears data for image(s) processed in the ComputerVision library.
    - convertscaleabscv
      Scales image, handle, calculates absolute values and converts to 8-bit
    - copycv
      Copies an image.
    - copymakebordercv
      Copies given image, handle into R with a border around it.
    - cropcv
      Crops an image to the specified region of interest.
    - cvtcolorcv
      Convert the image handle to a different color space.
    - dftcv
      Computes the Discrete Fourier Transform of an image. dftcv is available only on Windows.
    - dilatecv
      Dilates the given image, handle.
    - dividecv
      Divides each element of source1 by each element of source2.
    - distancetransformcv
      Calculates the distance to the closest zero pixel and normalizes the output image.
    - erodecv
      Erode the given image, handle.
    - filter2Dcv
      Apply a linear filter to the image, handle.
    - findcontourscv
      Finds and draws contours in an image.
    - getcv
      Gets the grayscale/RGB/RGBA matrix R, which represents the pixels of the image handle.
    - gaussianblurcv
      Blur the image, handle, by applying a Gaussian filter.
    - getgaussiankernelcv
      Gets Gaussian kernel coefficiants.
    - getstructuringelementcv
      Gets a structuring element that can be used for morphological commands on an image.
    - goodfeaturestotrackcv
      Finds prominent corners in an image.
    - histogramcv
      Computes the histogram of the red, green and blue colors of an image.
    - houghcirclescv
      Detect circles in a grayscale image using the Hough transformation algorithm.
    - imfinfocv
      Gets information about an image with the image's ComputerVision handle, without re-reading the image again.
    - imreadcv
      Reads an image and returns its handle R, using functions defined in the ComputerVision library.
    - imshowcv
      Displays an image in the current figure.
    - imsizecv
      Gets the height and width of an image using its ComputerVision handle.
    - imwritecv
      Writes an image, whose pixel data comes from a matrix that can be referenced by imagedata.
    - inpaintcv
      Restores the input handle.
    - inrangecv
      Gets the handle Rto a binary image specifying which pixels are within the specified range.
    - laplaciancv
      Apply a Laplace filter on the image, handle.
    - linecv
      Draws a line on the image.
    - magnitudecv
      Computes the magnitude of 2D matrices.
    - medianblurcv
      Applies the median filter to blur an image.
    - mergecv
      Merges specified RGB/RGBA channels into a single image.
    - morphologyexcv
      Executes morphological transformations such as dilation, erosion, opening, closing, morphological gradient, top hat, black hat and hit ot miss on the given image, handle.
    - multransposedcv
      Computes the product and transposition of a matrix.
    - normalizecv
      Normalizes image, handle
    - multiplycv
      Calculates product of each element in source1 and source2.
    - puttextcv
      Adds text on an image.
    - pyrdowncv
      Applies the pyramid transformation on an image by downsampling it.
    - pyrupcv
      Applies the pyramid transformation on an image by upsampling it.
    - rectanglecv
      Draws a rectangle on the image.
    - resizecv
      Resizes the given image, handle.
    - rotatecv
      Rotates the image, handle, by a given angle.
    - saturatecastcv
      Saturates the image handle with a contrast and brightness.
    - sobelcv
      Calculates the derivatives using the Sobel operator.
    - subtractcv
      Finds differences in each element of source1 and source2.
    - splitcv
      Splits an image into RGB/RGBA channels.
    - templatematchcv
      Finds a template within an image and returns the handle to an output image highlighting the match and the position of the match.
    - thresholdcv
      Applies a threshold to each element of the given image, handle, resulting in a grayscale image, R, whose pixels represent the elements exceeding the threshold.
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Get help for the optional libraries that are available in the Extension Manager.
Frequently Asked Questions
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getgaussiankernelcv

Gets Gaussian kernel coefficiants.

Syntax

R = getgaussiankernelcv(size, sigma)

R = getgaussiankernelcv(size, sigma, type)

Inputs

size: Aperture size. Must be odd and positive.; Type: integer
sigma: Gaussian standard deviation.; Type: scalar
type: Optional filter coefficient with values of 5 or 6 (default).; Type: integer

Outputs

R: Gaussian kernel.; Type: matrix

Example

Create a Gaussian kernel of a specified size:

R = getgaussiankernelcv(3, 0.5)
R = [Matrix] 3 x 1
0.10651
0.78699
0.10651