Reference guides are available for functions and commands supported by OML, Tcl, and Python.
The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
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OpenMatrix is a mathematical scripting language.
Applies adaptive threshold to the image, handle.
Adds inputs source1 and source2.
Adds weighted inputs.
Converts an image to the specified color map.
Applies a background subtractor and computes a foreground mask for image handle.
Apply a bilateral filter on the image, handle.
Performs bitwise union on given inputs, source1 and source2.
Performs bitwise or/disunion on given inputs, source1 and source2.
Performs bitwise exclusive or on given inputs source1 and source2.
Uses normalized box filter to blur an image.
Detects edges of an image handle with the Canny algorithm.
Draws a circle on the image.
Clears data for image(s) processed in the ComputerVision library.
Scales image, handle, calculates absolute values and converts to 8-bit
Copies an image.
Copies given image, handle into R with a border around it.
Crops an image to the specified region of interest.
Convert the image handle to a different color space.
Computes the Discrete Fourier Transform of an image.
Dilates the given image, handle.
Divides each element of source1 by each element of source2.
Calculates the distance to the closest zero pixel and normalizes the output image.
Erode the given image, handle.
Apply a linear filter to the image, handle.
Finds and draws contours in an image.
Gets the grayscale/RGB/RGBA matrix R, which represents the pixels of the image handle.
Blur the image, handle, by applying a Gaussian filter.
Gets a structuring element that can be used for morphological commands on an image.
Finds prominent corners in an image.
Computes the histogram of the red, green and blue colors of an image.
Detect circles in a grayscale image using the Hough transformation algorithm.
Gets information about an image with the image's ComputerVision handle, without re-reading the image again.
Reads an image and returns its handle R, using functions defined in the ComputerVision library.
Displays an image in the current figure its ComputerVision cvhandle.
Gets the height and width of an image using its ComputerVision handle.
Writes an image, whose pixel data comes from a matrix that can be referenced by imagedata.
Restores the input handle.
Gets the handle Rto a binary image specifying which pixels are within the specified range.
Apply a Laplace filter on the image, handle.
Draws a line on the image.
Computes the magnitude of 2D matrices.
Applies the median filter to blur an image.
Merges specified RGB/RGBA channels into a single image.
Executes morphological transformations such as dilation, erosion, opening, closing, morphological gradient, top hat, black hat and hit ot miss on the given image, handle.
Normalizes image, handle
Calculates product of each element in source1 and source2.
Adds text on an image.
Applies the pyramid transformation on an image by downsampling it.
Applies the pyramid transformation on an image by upsampling it.
Draws a rectangle on the image.
Resizes the given image, handle.
Rotates the image, handle, by a given angle.
Saturates the image handle with a contrast and brightness.
Calculates the derivatives using the Sobel operator.
Finds differences in each element of source1 and source2.
Splits an image into RGB/RGBA channels.
Finds a template within an image and returns the handle to an output image highlighting the match and the position of the match.
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.
Get help for the optional libraries that are available in the Extension Manager.
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