This lecture overviews digital image coordinate systems and their mathematical representations (vectors, matrices). Memory allocation issues are presented. Elementary digital image processing and geometrical transformations operations are explained.
Resource description
This lecture overviews digital image coordinate systems and their mathematical representations (vectors, matrices). Memory allocation issues are presented. Elementary digital image processing and geometrical transformations operations are explained.
This lecture overviews spatial image frequency content and image sampling. Rectangular and hexagonal sampling grids are presented. Sampled image frequency content is analyzed and a 2D version of Shannon theorem is presented. Analog image reconstruction from digital images is overviewed.
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.
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… Continue reading Introduction to Image Processing
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.
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.