Region-based segmentation focuses on dividing an image into segments based on specific criteria such as intensity, color, or texture. In histology, these segments correspond to different cellular structures or tissue types. The goal is to create regions that are internally coherent and distinct from neighboring regions, facilitating more detailed examination and analysis.