Lecture
This lecture covers the theory and algorithms behind image segmentation, aiming to identify regions with similar statistical properties. Topics include region segmentation applications, homogeneity evaluation, derived images, and algorithms like region growing, histogram splitting, K-Means, and graph theoretic methods.