Langbeschreibung
This easy-to-follow textbook is the third of three volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. This volume builds upon the introductory material presented in the first two volumes (Fundamental Techniques and Core Algorithms) with additional key concepts and methods in image processing.
Inhaltsverzeichnis
Introduction.- Automatic Thresholding.- Filters for Color Images.- Edge Detection in Color Images.- Edge-Preserving Smoothing Filters.- Fourier Shape Descriptors.- SIFT-Scale-Invariant Local Features.- Mathematical Symbols and Notation.- Vector Algebra and Calculus.- Statistical Prerequisites.- Gaussian Filters.- Color Space Transformations.