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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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Explore the Extended Definitions, OML Guides, Block Library, API Guide and Glossary.
- Extended Definitions for Advanced Users
  PDF file with in-depth information on key topics in the User's Guide.
- 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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- Block Reference Guide
  Describes all of the blocks in the installed Twin Activate library.
- Function Guide for Twin Activate
  Provides information about developing and simulating models through the Twin Activate Application Program Interface.
- Glossary
  Key terms associated with the software.
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