Image segmentation is considered one of the most vital progressions of image processing.
It’s a technique of dividing an image into different parts, called segments.
The method is primarily beneficial for applications like object recognition or image compression because, for these types of applications, it is expensive to process the whole image.
Segmentation algorithms partition an image into sets of pixels or regions. The purpose of partitioning is to understand better what the image represents. The sets of pixels may represent objects in the image that are of interest for a specific application. How we partition distinguishes the different segmentation algorithms.