Image segmentation is a term used in the fields of artificial intelligence, automation and Industry 4.0. It is a technology that enables 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 differentiate between objects and patterns in photos or videos.
Imagine a machine has to distinguish an apple from an orange in a photo. With image segmentation, the computer can analyse the image so that each fruit is assigned its own area. This is very helpful - for example in quality control in food production: defective products or foreign objects can be automatically recognised and sorted out.
Image segmentation also plays an important role in medicine. It helps to detect tumours or other abnormalities on X-ray images. In industry, the technology saves time because these processes run automatically and no longer have to be carried out by humans.
In short, image segmentation turns simple images into data that computers can work with in a much more targeted and automated way.
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