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ErodeImage

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Module: FoundationLite

Replaces each pixel with the minimum of pixels within a kernel.

Applications

Thins bright features in an image and thickens dark ones.
Name Type Range Description
Input value
 inImage Image Input image
Input value
 inRoi Region* Range of outImage pixels to be computed
Input value
 inSourceRoi Region* Range of inImage pixels to be considered in computations
Input value
 inBorderColor Pixel* Color of the imaginary pixels outside the image boundaries
Input value
 inKernel KernelShape Kernel shape
Input value
 inRadiusX Integer 0 - Nearly half of the kernel's width (2*R+1)
Input value
 inRadiusY Integer* 0 - Nearly half of the kernel's height (2*R+1), or same as inRadiusX
Output value
 outImage Image Output image
Diagnostic input
 diagKernel Region Kernel shape

Description

The operation replaces each pixel with the darkest pixel in its neighbourhood, thus shrinking bright areas in inImage and expanding the dark ones.

Examples

ErodeImage performed on the sample image with inKernel = Box, inRadiusX = 1, inRadiusY = 1.

Hardware Acceleration

This operation is optimized for SSE2 technology for pixels of types: all formats (when inSourceRoi = NIL and inBorderColor = NIL).

This operation is optimized for NEON technology for pixels of types: all formats (when inSourceRoi = NIL and inBorderColor = NIL).

This operation supports automatic parallelization for multicore and multiprocessor systems.

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 inBorderColor is relevant only when inSourceRoi is set to Auto (NIL) in ErodeImage.
DomainError Not supported kernel on input in ErodeImage.
DomainError Region exceeds an input image in ErodeImage.

Complexity Level

This filter is available on Advanced Complexity Level.

Filter Group

This filter is member of ErodeImage filter group.

See Also

  • DilateImage – Replaces each pixel with the maximum of pixels within a kernel.