Image segmentation is a fundamental problem and technique in computer vision and digital image processing that involves partitioning a digital image into multiple segments or sets of pixels, often referred to as superpixels or regions. The objective is to simplify the image representation into something more meaningful and easier to analyze, typically by grouping pixels belonging to the same object or region of interest, thereby facilitating subsequent image analysis tasks such as object recognition, scene understanding, and medical image analysis.