Image segmentation is a term from the fields of artificial intelligence, automation, and Industry 4.0. It involves a technique that allows computers to divide images into individual areas or objects. Each area of an image is thus given a „meaning.“ This helps machines to better recognise and distinguish between things and patterns in photos or videos.
Imagine a machine needs to distinguish an apple from an orange in a photograph. With image segmentation, the computer can analyse the image and assign its own area to each fruit. This is very helpful – for example, in quality control for food production: faulty products or foreign objects can be automatically detected and sorted out.
Image segmentation also plays an important role in medicine. It helps to detect tumours or other abnormalities in X-ray images. In industry, the technique saves time because these processes are automated and no longer need to be carried out by humans.
In short: Image segmentation turns simple images into data for computers, allowing them to work much more precisely and automatically.
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