Intended as a practical guide, the book takes the reader from basic concepts to up-to-date research topics in digital image processing. Only little special knowledge in computer sciences is required since many principles and mathematical tools widely used in natural sciences are also applied in digital image processing thus the reader with a general background in natural science gets an easy access to the material presented. The book discusses the following topics: image acquisition and digitization; linear and nonlinear filter operations; edge detection; local orientation and texture; fast algorithms on pyramidal and multigrid data structures; morphological operations to detect the shape of objects; segmentation and classification. Further chapters deal with the reconstruction of three-dimensional objects from projections and the analysis of stereo images and image sequences with differential, correlation, and filter algorithms. Many examples from different areas show how the reader can use digital image processing as an experimental tool for image data acquisition and evaluation in his or her research area.
The reader learns how he can use digital image processing for image data acquisition and evaluation in his research area. Without assuming that he is familiar with computer science, he is led from basic concepts to up-to-date research including image reconstruction from projections and the analysis of stereo images and image sequences.
Bernd Jähne
Bildfolgen Mustererkennung Stereobilder algorithms computer vision digital image processing digital sequences digitale Bildverarbeitung filters image processing image sequences knowledge pattern recognition stereoscopy
From the reviews of the first edition: "I recommend this book to anyone seriously engaged in image processing. It will clearly stretch the horizon of some readers and be a good reference for others. This is not just another image processing book; it is a book worth owning and a book worth reading several times ..." #J. Electronic Imaging#
()