Erosion and dilation in images

1. What is erosion and dilation in image processing?
2. What does erosion do to an image?
3. What is erosion and dilation in OpenCV?
4. In which process erosion is followed by dilation?

What is erosion and dilation in image processing?

Dilation adds pixels to the boundaries of objects in an image, while erosion removes pixels on object boundaries. The number of pixels added or removed from the objects in an image depends on the size and shape of the structuring element used to process the image.

What does erosion do to an image?

Erosion shrink-ens the image pixels i.e. it is used for shrinking of element A by using element B. Erosion removes pixels on object boundaries.: The value of the output pixel is the minimum value of all the pixels in the neighborhood.

What is erosion and dilation in OpenCV?

Erosion basically strips out the outermost layer of pixels in a structure, where as dilation adds an extra layer of pixels on a structure.

In which process erosion is followed by dilation?

An erosion followed by a dilation is called an open operation.