Image Typology
This lecture overviews various digital image types: 2D images, 3D images (videos, medical volumes, hyperspectral images). Multichannel images, e.g., colour and multispectral images come next. RGBD images and graphics texture images. Elementary digital image processing operations are explained. Noise generators for digital image processing are also overviewed.
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Introduction to Image Processing
This lecture overviews digital images, image processing and image analysis. 1D signals, 2D signals (images), 3D signals (videos, medical volumes) are presented. Multichannel images, e.g., color and multispectral images come next. Image processing and signal analysis are defined and their differences from other related disciplines are explained. Notable image processing topics (image filtering, Image contrast enhancement, Image pseudocoloring, image halftoning, image interpolation, image compression) are overviewed. Image analysis topics are also presented: edge detection, contour following, region segmentation, shape analysis, image registration.
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Computational Geometry
This lecture overviews Computational Geometry that has many applications in Computer Graphics, Robotics, Geographic Information Systems, CAD/CAM. It covers the following topics in detail: Convex Hull, Voronoi Diagrams, Delaunay Triangulation, Line Segment Intersection, Point Location.
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Mathematical Morphology
This lecture overviews Mathematical Morphology that has many applications in digital image processing, analysis and computer vision. It covers the following topics in detail: Mathematical Morphology operations (Minkowski addition/subtraction, erosion, dilation, opening, closing), Greyscale Morphology, Skeletons, Shape Decomposition, Voronoi tessellation, Watershed transform.
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Shape Description
This lecture overviews Shape Description that has many applications in object recognition and image compression. It covers the following topics in detail: Chain Codes. Polygonal Contour Approximations. Fourier Descriptors. Quadtrees. Pyramids for multiresolution image representation. Shape Features (Object perimeter, Contour curvature, Bending energy, area, compactness, diameter). Topological descriptors and Euler number. Moment Descriptors. Thinning Algorithms.
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Image Registration
This lecture overviews 2D Image Registration that has many applications in photography, computer vision, and medical imaging. It covers the following topics in detail: Basic steps in image registration, Criteria of image registration classification, Geometric image transforms, Image Registration algorithms, non-rigid image registration with CNN, Point cloud registration, Applications of Image Registration: image mosaicking, medical image registration, subtraction radiography and angiography.
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