Image segmentation is the method of breaking down a picture into different segments that represent a different object or area in the image. Image segmentation aims to modify or simplify how an image is shown into something clearer and easier to understand.
Use cases of Image Segmentation
Here are some ways that image segmentation is used:
Medical Imaging
Image segmentation is utilized in medical imaging to find and identify organs, tumors, blood vessels, and other specific parts or features in an image. This can help doctors diagnose, plan treatment for, and keep an eye on medical conditions.
Object Detection
Image segmentation is utilized to spot the boundaries of objects in an image. This can help with tasks like object detection and recognition. This can be useful for self-driving cars, surveillance, and robots.
Natural Language Processing
Image segmentation can help with NLP tasks like labeling objects in a paragraph or a particular sentence.
Image Editing
Image segmentation is utilized in image editing programs to select and change specific parts of an image, like changing the color of a shirt in a photo or removing the background from an image.
Remote Sensing
Image segmentation is utilized in remote sensing applications to find and classify various land cover types. This can help with environmental monitoring and management.
