In this episode, we explore two powerful techniques that help machines make sense of the visual world: segmentationand the Hough Transform. Learn how segmentation allows computers to divide an image into meaningful regions—separating objects from their background, identifying features, and enabling tasks like object recognition and scene understanding. Then, discover how the Hough Transform helps detect geometric shapes like lines and circles, even in noisy or complex images.

Whether you're curious about how self-driving cars recognize road lanes or how medical imaging highlights tumors, this episode breaks it down with clarity and insight, all generated by Google's NotebookLM!