Hello Awad, From my Knowledge here i have added the information on Morphology Operators

This processing involves changing the shapes of objects in binary (black and white) or grayscale images based on a set of morphological rules derived from mathematical set theory. Morphological operations can be used on images prior to or following segmentation, for example to separate objects that are wrongly connected. When counting points such as nuclei, Morphology operations might be first applied to ensure the separation of otherwise connected nuclei. Morphological transformations can also be applied after segmentation to refine the results, for example by removing unwanted spurs, filling holes, removing tiny areas, or thinning lines. Image processing using mathematical morphology is conceptually simple and computationally fast. The drawback is that a set of operations for a particular image or classes of images normally has to be manually crafted for that specific image or class and might not apply to different images.