Unit 1 Basic image processing operations

• Point Operators
• Group operators
• Other statistical Operators
• Mathematical morphology

Unit 2 Low- level feature extraction ( including edge detection)

4 lecture hours

• First-order edge detection operators
• Second- order edge detection operators
• Other edge detection operators
• Comparison of edge detection operators
• Phase Congruency
• Localized feature extraction
• Detecting image curvature
• Describing image motion

Unit 3 Feature extraction by shape matching

• Thresholding and subtraction
• Template matching
• Hough transform (HT)
• Generalized Hough transform (GHT)
• Other extensions to the HT

Unit 4 Flexible shape extraction ( snakes and other techniques)

4 lecture hours

• Deformable templates
• Active contours (snakes)
• Shape skeletonization
• Flexible shape models: active shape and active appearance

Unit 5 Object description

• Boundary descriptions(Boundary and region
• Chain codes
• Fourier descriptors)
• Region descriptors(Basic region descriptors

Unit 6 Introduction to texture description, segmentation and classification

• What is texture
• Texture description(Performance requirements
• Structural approaches
• Statistical approaches
• Combination approaches)
• Classification(The k-nearest neighbor rule
• Other classification approaches)

Unit 7 3D Image Acquisition

7 lecture hours

• Volume imaging vs. sections
• Basics of reconstruction
• Algebraic reconstruction methods
• Maximum entropy
• Defects in reconstructed images
• Imaging geometries
• Three-dimensional tomography
• High resolution tomography 6 8 3D Image Visualization Sources of 3D data
• Serial sections
• Optical sectioning Sequential removal Stereo
• 3D data sets
• Slicing the data set, Arbitrary section planes
• The use of color
• Volumetric display
• Stereo Viewing
• Special display hardware
• Ray tracing
• Multiply connected surfaces
• Image processing in 3D, Measurements on 3D images