Image Segmentation: K-means and Color Spaces

This lecture covers the concept of image segmentation using K-means clustering with RGB values as features, discussing the assignment of pixels to the nearest cluster based on color. It also explores the impact of choosing different color spaces, such as HSV, on the segmentation results.