Minimum spanning tree-based segmentation

Minimum spanning tree-based segmentation is a technique used in image processing and computer vision to partition an image into distinct regions or segments by utilizing the properties of a minimum spanning tree (MST). The primary goal of segmentation is to simplify the representation of an image while preserving its important features, making tasks like object detection and recognition more efficient.