Amount of pixel eroded

1. What do you mean by eroded image?
2. What is erosion in CV?
3. How does erosion works in image processing?
4. Why do we require erosion and dilation?

What do you mean by eroded image?

Morphological Dilation and Erosion

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 is erosion in CV?

Erosion. This operation is the sister of dilation. It computes a local minimum over the area of given kernel. As the kernel B is scanned over the image, we compute the minimal pixel value overlapped by B and replace the image pixel under the anchor point with that minimal value.

How does erosion works in image processing?

Erosion removes pixels on object boundaries. In other words, it shrinks the foreground objects. Enlarge foreground holes. Like in Image Processing Kernels, a larger size of the Structure Element, the effect of Erosion increase.

Why do we require erosion and dilation?

If dilation enlarges an image then erosion shrinks the image. The way the image is shrunk is determined by the structuring element. The structuring element is normally smaller than the image with a 3 x 3 size. This will ensure faster computation time when compared to larger structuring-element size.