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More About This Textbook
Overview
This long-established and well-received monograph offers an integral view of image processing - from image acquisition to the extraction of the data of interest – written by a physical scientists for other scientists.
Supplements discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms.
Completely revised and extended, the most notable extensions being a detailed discussion on random variables and fields, 3-D imaging techniques and a unified approach to regularized parameter estimation.
This successful, practical guide uses the concepts and mathematics familiar to students of the natural sciences to provide them with a working knowledge of modern techniques of digital image processing. It takes readers from the fundamentals to current research in the field and teaches them how to use them for data gathering and interpretation in their science.
Editorial Reviews
Booknews
A practical guide, moving from basic concepts to up-to-date research topics in digital image processing. The discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. A special feature is the extensive treatment of three- dimensional images and image sequences. Little special knowledge in computer science is required since many principles and mathematical tools widely used in natural sciences are also applied in digital image processing. 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. Annotation c. Book News, Inc., Portland, OR (booknews.com)Product Details
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Table of Contents
Foundation; Image Representation; Statistics and Models; Multiscale Representation; Quantitative Visualization; Image Formation; Pixel Processing; Restoration and Reconstruction; Averages and Edges; Simple Neighborhoods; Texture; Motion; Regions and Discontinuities; Classification.