Region-based segmentation is a technique in image processing that involves dividing an image into regions based on predefined criteria such as color, intensity, or texture to identify and separate objects within the image. This approach is fundamental for applications like object recognition, medical imaging, and computer vision, where precise delineation of regions is crucial for analysis and interpretation.