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This lecture covers the mathematical foundations of directional image analysis, including rotation in the Fourier transform, Hankel transform, and Radon transform. It also explores local directional analysis, steerable filters, and the importance of directional cues in image processing, addressing computational challenges and selectivity to orientation.