Syllabus
I. Introduction
image geometry, sampling and quantization, image definitions, levels of computation, image histogram
II. Binary image processing
geometric properties, projections, run-length encoding, binary operations, morphological operations
III. Regions
regions and edges, region segmentation, region representation, split and merge, region growing
IV. Image filtering
histogram modification, lookup tables, contrast stretching, convolutions, sharpening
V. Edge detection
gradient-based operators, Laplacian of Gaussian, line detection
VI. Texture
texture primitives, shape from texture
VII. Depth
stereo imaging, stereo matching
VIII. Dynamic vision
change detection, segmentation using motion, image flow
IX. Computer vision applications