Image processing- morphology (dilation & erosion) / Noorshafinaz Mohd Omar

Morphology has being utilized widely nowadays. It is a common method in image
processing and it has always been a powerfiil method in the area of image processing.
Morphology can best be defined as the 'form and structure' of an object or the
arrangements between the parts of an object. Basically, morphology is related to
shape, and digital morphology is a way to describe or analyze the shape of a digital
object. The two principal morphology operations are dilation and erosion. Dilation
allows objects to expand while erosion shrinks objects by etching away (eroding) their
boundaries. These operations can be customized for an application by the proper
selection of the structuring element, which determines exactly how the objects will be
dilated or eroded. The objective of the project is to reduce noise and thinning or
thicken object images. The input images are only concentrated on binary and grayscale
images. The binary images are drawings using Microsoft Paint. Where else the
gray-scale images are downloading from the Internet.