Syllabus

I. Image basics
- types of imagery
- visual perception
- sampling and quantization
- image characterization
- multiple images
- image output
- software
II. Point processes
 - arithmetic/logical operations
 - lookup tables
 - histograms
- contrast stretching
- intensity transformations
III. Area processes
- convolutions
- blurring
- sharpening
- edge detection
- first order derivative
- second order derivative
- median filtering
IV. Geometric processes
- image scaling
- rotation
- translation
V. Frame processes
- addition/subtraction
- and/or
- averaging
VI. Image transforms
- introduction to Fourier transform
- discrete Fourier transform
- fast Fourier transform
- other image transforms: Walsh, Hadamard, Cosine, Haar
VII. Morphological operations
- erosion, dilation
- opening, closing
- extension to grey scale images
- skeletonization
- applications
VIII. Segmentation and measurements
- thresholding
- edge detection
- edge linking
- region growing
- Sobel/watershed
- graph searching
- contour following
- measurements in 2D
IX. 3D imaging
- 3D data sets
- slicing
- volumetric display
- ray tracing
- surfaces
- image processing in 3D
- measurements in 3D
- image fusion
X. Image processing applications
- image segmentation in histology
- image analysis using mathematical morphology
- quantitative analysis of medical images (CT, NMR, PET, Ultrasound)
 - dynamic studies after contrast injection
 - functional imaging: task activation studies
- parametric imaging
- region segmentation using similarity analysis of dynamic image data
- multimodality 3D image fusion