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Full Description
This textbook provides students and users with the necessary knowledge to successfullyto successfully acquire and process image data. It is consistently taken into account that image acquisition and image processing are based on the same mathematical concepts. Great emphasis was placed to present the sometimes complex relationships both clearly and mathematically sound.The material in the 7th edition of this textbook, which has been successful since 1991, has been restructured.In line with the rapid development of image sensor technology, optics and image sensor technology, optics and the diverse methods of reconstructing the three-dimensional world from image data. The focus was placed on working out the basic concepts. This enables the reader tounderstand the initially confusing variety of image acquisition methods and learn how to use them optimally. Artificial intelligence methods have deliberately not been integrated into the book. Rather, this book contains the necessary knowledge about image acquisition and processing in order to apply machine learning methods to image analysis in the best possible way.
Contents
Introduction.- IMAGE FORMATION: Radiation and Quantitative Image Formation.- 2-D Image Acquisition.- Radiation Detection and Image Sensors.- Sampling and Interpolation.- Discrete Image Representation.- Radiometric and Geometric Image Correction.- 3-D Image Acquisition and Light Fields.- 3-D Imaging with Active Illumination.- IMAGE PROCESSING: Neighborhood Operators and Local Structure.- Averaging and Noise Suppression.- Discontinuities: Edges, Lines, Surfaces, and Corners.- Local Orientation, Local Wave Number and Phase.- Motion.- Scale Spaces and Multigrid Structures.- Textur and Complex Features.- Regularization and Modeling.- Morphology and Form Analysis.- MATHEMATICAL FOUNDATION AND REFERENCE MATERIAL: Notation.- Vector Spaces and Unitary Transforms.- Statistics, Regression and Optimization.- Reference Material.
