What is the Application of Image Segmentation?
Image segmentation is the process of dividing an image into different regions based on the characteristics of pixels to identify objects or boundaries to simplify an image and more efficiently analyze it. It is typically used to locate objects and boundaries in images to make it recognizable to machine learning based AI models that need more precise detection of objects in various scenarios.
Image segmentation is also used to track objects in a sequence of images and to classify terrains, like petroleum reserves, in satellite images. Some medical imaging applications of segmentation include the identification of injured muscle, the measurement of bone and tissue, and the detection of suspicious structures to aid radiologists while detection such alignments.
