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DIGITAL IMAGE
PROCESSING has been the world's leading textbook in its
field for more than 30 years. As in the 1977 and 1987 editions by Gonzalez
and Wintz, and the 1992 and 2002 editions by Gonzalez and Woods, this
fifth-generation book was prepared with students and instructors in mind.
The principal objectives of the book continue to be to provide an
introduction to basic concepts and methodologies for digital image
processing, and to develop a foundation that can be used as the basis for
further study and research in this field. The
material is timely, highly readable, and illustrated with numerous examples
of practical significance. All mainstream areas of image processing are
covered, including image fundamentals, image enhancement in the spatial and
frequency domains, restoration, color image processing, wavelets, image
compression, morphology, segmentation, and image description. Coverage
concludes with a discussion on the fundamentals of object recognition.
Although the book
is completely self-contained, this companion web site provides additional support in the form of review material, answers to selected
problems, laboratory project suggestions, and a score of other features. A
supplementary
instructor's manual
is available to instructors who have adopted the book for classroom use.
See also a partial list of institutions
that use the book.
One of the principal reasons this book has been the world leader in its
field for more than 30 years is the level of attention we pay to the
changing educational needs of our readers. The present edition is based on
the most extensive survey we have ever conducted. The survey involved
faculty, students, and independent readers of the book in 134 institutions
from 32 countries. Many of the following new features are based on the
results of that survey.
NEW FEATURES
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A revision of introductory concepts that provides readers with foundation
material much earlier in the book than before.
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A revised and updated discussion of intensity transformation, spatial
correlation, convolution, and their application to spatial filtering.
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New discussion of fuzzy sets and their application to image processing.
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A new chapter on the discrete Fourier transform and frequency domain
processing.
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New coverage of computerized tomography.
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A revision of the wavelets chapter.
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A new chapter on data compression, including new compression techniques,
digital video compression, standards, and watermarking.
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New coverage of morphological reconstruction, gray-scale morphology, and
advanced morphological algorithms.
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New coverage of the Marr-Hildreth and Canny edge detection algorithms.
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Expanded coverage of image thresholding.
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New examples and illustrations involving over 400 new images and more than
200 new drawings and tables.
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Expanded homework sets, including over 80 new problems.
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Updated bibliography.
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