Erosion

Reduces the size of foreground objects by iteratively shrinking their boundaries.

🖼️ Image options and parameters of erode method
🎭 Mask options and parameters of erode method

Erosion is a fundamental morphological operation in image processing that is used to reduce the size of foreground objects (regions of interest) within an image while preserving their shape and structure. It works by moving a structuring element over the image and replacing each pixel with the minimum value of the pixels covered by the structuring element. Erosion is particularly useful for tasks like noise reduction, edge detection, and object separation.

Source:CirclesStarShapesLennaBarbaraStandard boatMandrillPeppersHouse

Ran in 0.00μs (Infinity ops/s)

Kinds of images compatible with algorithm

Image property	What it means	Possible values
bitDepth	number of bits per channel	[1,8,16]
components	number of components	[1]
alpha	is alpha channel allowed	false

Parameters and default values

info

Parameters and options for Images and Masks are the same.

• options

Options

Property	Required	Default value
iterations	no	1
kernel	no	[[1, 1, 1],[1, 1, 1],[1, 1, 1]]

info

The method is also available for Masks.