Image Segmentation

Image segmentation is a computer vision technique that involves partitioning an image into multiple segments or regions to simplify its representation and make it more meaningful for analysis. This process helps in identifying and isolating objects within an image, allowing for more precise analysis and understanding of the visual content. Common characteristics of image segmentation include the use of algorithms such as thresholding, clustering, and deep learning models to differentiate between various parts of an image. It is widely used in applications such as medical imaging, autonomous vehicles, and image editing, where accurate object detection and localization are crucial.