Morphological transformation
Morphological transformation is an image processing method that transforms an image according to its shape. This process facilitates the characterization and delineation of region shapes. These transformations use structural elements applied to the input image and produce an output image. Morphological operations are used for a variety of purposes, including removing noise in an image, locating intensity bumps and holes in an image, and connecting different elements in an image. There are two main types of morphological transformation.
They are corrosion and expansion.
erosion
Erosion is a morphological operation performed to reduce the size of foreground objects. The boundaries of the foreign body are slowly eroded. Erosion has many applications in image editing and conversion, where it shrinks image pixels. Pixels on object boundaries are also removed. In Python, the implementation of erosion is very simple and can be implemented with the help of the kernel.
Let's start using Python code to