image analysis algorithms

Image analysis algorithms are methods that help computers interpret and understand visual information. They detect patterns, shapes, and colors in images to identify objects, scenes, or features. For example, they can recognize faces, read handwriting, or find specific items in a photo. These algorithms use mathematical models and techniques like feature extraction and machine learning to analyze pixel data, enabling tasks such as sorting images, monitoring quality, or assisting in medical diagnoses. Essentially, they transform raw visual data into meaningful insights for various applications.