Course Schedule of Topics 1. Overview (1 lecture) 2. Playing With Images (2 lectures) ·         Representing lines, rectangles, and their translations and rotations. ·         Extracting a region and moving it to a new location ·         Looking at intensity along a line ·         Enlarging and shrinking regions ·         Thresholding a region ·         Histogram of intensity ·         Histogram-based segmentation 3. MATLAB (1 lecture)  How to use MATLAB and the image processing toolbox 4. Cameras and Image Formation (3 lectures) ·         The thin lens ·         Basic radiometry ·         The perspective camera ·         Camera parameters - intrinsic and extrinsic 5. Color and Various Image Sensors (1 lecture) ·         Color ·         Range sensors ·         MRI, CT, Ultrasound, PET 6. Introduction to Statistical Image Processing (7 lectures) ·         Image noise and averaging ·         General convolution filtering ·         Optimal signal or object detection in an image ·         Edges - how to extract them from messy images ·         Canny edge detection ·          Deformable boundary curve and surface estimation in noisy 2D and 3D images ·         Image segmentation 7. Estimation of other image features (3 lectures) ·         Conics - least squares fitting of lines and conics to noisy data ·         Hough Transform - for finding lines in images 8. Invariance and Invariant Features under Position and Viewpoint Changes  (2 Lectures) ·         Length, area, volume ·         Axes of conics ·         Moment invariants ·         Invariants for groups of primitives 9. Fourier Analysis and Optimal Linear Filtering (9 lectures) ·         Sampling Theorem ·         DFT (Discrete Fourier Transform)  ·         Circular discrete convolution ·         2-Dimensional DFT ·         Image Compression ·         Wavelets ·         Optimal (Least Squares) filtering ·         Weiner filtering ·         Texture modeling and detection ·         Change detection for segmenting video clips 10. Nonlinear Filtering (3 lectures) ·         Morphology ·         Skeletons 11. 3D Surface Reconstruction by Stereo (3 lectures) ·         Camera calibration: Estimating camera parameters ·         Estimating 3D points, lines, planes, other primitives