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ConvolveImage


Module: FoundationLite

Computes a convolution of the input image with a user-specified mask.

Applications

Non-standard local transforms defined by the user.
Name Type Description
Input value
inImage Image Input image
Input value
inRoi Region* Range of outImage pixels to be computed
Input value
inMask Matrix Image convolution kernel
Input value
inNormalizeMaskValues Bool Normalize sum of weights in mask to one
Input value
inMaskOrigin Location* Relative location of point to its mask
Output value
outImage Image Output image

Description

The operation computes new value of pixel as a convolution of inImage pixels and the inMask values. Pixels which mask exceeds inRoi region are set to black. Input and output pixel have the same type. If result value does not fit into pixel type you should use ConvertPixelType.

Examples

ConvolveImage performed on the sample image with inMask \( \begin{pmatrix} -1 & -2 & -1 \\ 0 & 0 & 0 \\ 1 & 2 & 1 \\ \end{pmatrix} \).

Hardware Acceleration

This operation supports automatic parallelization for multicore and multiprocessor systems.

This operation supports processing on OpenCL compatible device (when inRoi=NIL).

Errors

This filter can throw an exception to report error. Read how to deal with errors in Error Handling.

List of possible exceptions:

Error type Description
DomainError Empty convolution mask on input in ConvolveImage.
DomainError Mask origin is outside the dimensions of the mask in ConvolveImage.
DomainError Region exceeds an input image in ConvolveImage.
DomainError Sum of weights in Mask is equal zero. Cannot normalize values in ConvolveImage.

Complexity Level

This filter is available on Advanced Complexity Level.