Publisher's Synopsis
Written by a non-computer scientist, this is intended as a practical guide taking the reader from basic concepts to up-to-date research topics in digital image processing. The presentation builds on principles and mathematical tools widely used in the natural sciences.;The book discusses the following topics: image acquisition and digitization; linear and non-linear filter operation for the detection of edges, local orientation and texture; fast algorithms on pyramidal and multigrid data structures; morphological operations to detect the shape of objects; and 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 - some of them in color - from a variety of areas show how even complicated tasks can be solved using inexpensive image processing systems on the basis of a personal computer.
