Automated segmentation is a research area within computer vision and image processing that focuses on developing algorithms and techniques to automatically divide an image or a set of images into meaningful regions or objects. This process is important for tasks such as object recognition, image analysis, and medical image processing. Automated segmentation aims to extract relevant information from images efficiently and accurately, reducing the need for manual labor and potential human error. This field is constantly evolving with the advancement of machine learning and deep learning techniques, leading to more robust and accurate segmentation algorithms.